<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing with OASIS Tables v3.0 20080202//EN" "journalpub-oasis3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" dtd-version="3.0"><?xmltex \hack{\sloppy}?>
  <front>
    <journal-meta>
<journal-id journal-id-type="publisher">SOILD</journal-id>
<journal-title-group>
<journal-title>SOIL Discussions</journal-title>
<abbrev-journal-title abbrev-type="publisher">SOILD</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">SOIL Discuss.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2199-3998</issn>
<publisher><publisher-name>Copernicus GmbH</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>

    <article-meta>
      <article-id pub-id-type="doi">10.5194/soild-2-291-2015</article-id><title-group><article-title>Ecological sanitation products reuse for agriculture in Sahel:
effects on soil properties</article-title>
      </title-group><?xmltex \runningtitle{Ecological sanitation products reuse for agriculture in Sahel}?><?xmltex \runningauthor{D. Sangare et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Sangare</surname><given-names>D.</given-names></name>
          <email>drissa.sangare@2ie-edu.org</email><email>dsangare2012@gmail.com</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Sawadogo</surname><given-names>B.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Sou/Dakoure</surname><given-names>M.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Ouedraogo</surname><given-names>D. M. S.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Hijikata</surname><given-names>N.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Yacouba</surname><given-names>H.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Bonzi</surname><given-names>M.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Coulibaly</surname><given-names>L.</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>International Institute for Water and Environmental Engineering
(2iE),<?xmltex \hack{\newline}?> P.O. Box 594 Ouagadougou 01, Burkina Faso</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>UFR Sciences et Gestion de l'Environnement, Université Nangui
Abrogoua (UNA),<?xmltex \hack{\newline}?> P.O. Box 801 Abidjan 02, Côte d'Ivoire</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Department of Environmental Engineering, Hokkaido University, Kita
13-nishi 8, Kita-ku, Sapporo-shi, Hokkaido 060-8628, Japan</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Institut de l'Environnement et de Recherches Agricoles (INERA),<?xmltex \hack{\newline}?>
P.O. Box 476 Ouagadougou 01, Burkina Faso</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">D. Sangare (drissa.sangare@2ie-edu.org, dsangare2012@gmail.com)</corresp></author-notes><pub-date><day>31</day><month>March</month><year>2015</year></pub-date>
      
      <volume>2</volume>
      <issue>1</issue>
      <fpage>291</fpage><lpage>322</lpage>
      <history>
        <date date-type="received"><day>26</day><month>February</month><year>2015</year></date>
           <date date-type="accepted"><day>9</day><month>March</month><year>2015</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/3.0/">http://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions><self-uri xlink:href="https://soil.copernicus.org/preprints/2/291/2015/soild-2-291-2015.html">This article is available from https://soil.copernicus.org/preprints/2/291/2015/soild-2-291-2015.html</self-uri>
<self-uri xlink:href="https://soil.copernicus.org/preprints/2/291/2015/soild-2-291-2015.pdf">The full text article is available as a PDF file from https://soil.copernicus.org/preprints/2/291/2015/soild-2-291-2015.pdf</self-uri>


      <abstract>
    <p>The sanitary products (i.e toilet compost, urine, and greywater) from
resource oriented sanitation are a low-cost alternative to chemical
fertilizers and irrigation water for poor communities in dry areas. However,
if these products are not managed carefully, increased soil salinity and
sodium accumulation could occur. The aim of this study was to assess the
effects of these products at different combinations on the properties of
cultivated soil and on okra plant productivity.  The treatments were:
(1) fresh dam water (FDW) as a negative control, (2) FDW plus chemical
fertilizer (i.e.NPK) (FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPK) as a positive control, (3) treated
greywater (TGW), (4) FDW plus Urine/Toilet Compost (UTC) (FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC),
(5) TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC, (6) TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPK. Effects on okra productivity were
assessed by measuring the fresh fruit yield whereas effects on soil were
evaluated through measurements of electrical conductivity (EC), sodium
adsorption ratio (SAR) and total organic carbon (TOC) at various depths.
Results showed that the yields obtained with TGW (0.71 t ha<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and
TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC (0.67 t ha<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> were significantly higher than the yields
obtained with the positive control FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPK (0.22 t ha<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> meaning
that the fertilizer value of the sanitary products was higher than that of
chemical fertilizer. Concerning effects on soil, SAR values increased
significantly in plots treated by TGW (8.86 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.52) and TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC
(10.55 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.85) compared to plots fertilized with FDW
(5.61 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.45) and FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPK (2.71 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.67). The TOC of plots
treated with TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC (6.09 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.99 g kg<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> was
significantly higher than those of FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPK
(4.46 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.22 g kg<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>. Combined sanitary products from resource
oriented sanitation can be reused as a nutrient source and water for food
production, provided that soil salinity is monitored and the soil has high
drainage capacity.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>Food insecurity is partially explained by declining soil fertility, higher
chemical fertilizer prices on the global market, and water scarcity
especially in the Sahelian region. Although chemical fertilizers are widely
used worldwide to increase fertility of agricultural soils, their use is
still very low in Sub-Saharan Africa (SSA) with an application rate of
8 kg ha<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> year<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Morris et al., 2007). These researchers
reported that low fertilizer use is one of the major factors explaining
lagging growth in agricultural productivity in Africa, specifically SSA,
relative to other regions.</p>
      <p>In addition, the shortage of freshwater resources affects agricultural
production in SSA countries. To mitigate this food crisis, closed-loop
sanitation systems provide a way to reduce health risks while also recovering
useful nutrients for sustainable agriculture (Esrey et al., 2001). Thus,
nutrients obtained from urine and faeces recycled as fertilizers can help
relieve poverty by improving household food security and saving money used to
buy chemical fertilizers, which can be put to other productive uses according
to the WHO (2006). Human urine is a liquid fertilizer containing nitrogen
(mostly as urea), phosphates and potassium in dissolved form that is
available for plant use (Kirchmann and Pettersson, 1995). Because of this,
the application of human urine has been gaining popularity as a fertilizer
for agricultural practices (Heinonen-Tanski and van Wijk-Sijbesma, 2005;
Germer et al., 2011; Boh et al., 2013). Nutrients and organic matter found in
human faeces are already widely recognized to improve soil fertility and crop
productivity when recycled as fertilizers (Mnkeni and Austin, 2009; Useni et
al., 2013). Several studies have shown that reused wastewater is a good
management option for increasing water supplies for agriculture
(Brzezińska et al., 2011). Akponikpè et al. (2011) reported that
irrigation with treated wastewater results in 40 % more eggplant yield
compared to irrigation with dam water. Furthermore, van Leeuwen et al. (2015)
confirmed that organic farming can enhance soil biomass.</p>
      <p>Despite the growing interest, negative environmental and health risks are
sometimes associated with excreta and greywater reuse in agriculture. Several
studies have focused on the health risks of human urine and composted faeces
with regards to pathogens, pharmaceutical residues, and trace elements in
agricultural (Höglund et al., 2002; Winker et al., 2010; Fidjeland et
al., 2013). Additionally, Mara et al. (2007) showed that pathogens in
greywater may cause diseases through direct contact as well as through the
consumption of contaminated plants. However, health risks associated with the
reuse of these sanitary products will not be investigated in this present
study.</p>
      <p>Soil salinization is one of the major causes of declining agricultural
productivity in many arid and semi-arid regions of the world (Qadir et al.,
2001). Qadir et al. (2008) estimated that about 34 million ha in Iran,
including 4.1 million ha of the irrigated land, is salt-affected and annual
economic losses due to salinisation in this country are more than
USD 1 billion. In Australia, salinity, sodicity and acidity are three major
soil constraints that limit crop and pasture yields and costless removal of
these constraints would increase annual profits by AUD 187 million,
AUD 1034.6 million, and AUD 1584.5 million respectively (Hajkowicz and
Young, 2005). This phenomenon is particularly important in arid and semi-arid
regions characterized by low rainfall, high evaporation, and low salt
leaching from the topsoil (Muyen et al., 2011). Thus, the salinity issue is
significant in the SSA region and to the reuse of sanitary products,
particularly urine (Boh et al., 2013) and greywater (Travis et al., 2010),
which are potential salt sources. Generally, fertilizer application increases
the content of soluble salts in the soil, and WHO (2006) has cautioned
against the use of urine fertilizer in saline soils. Concentrations of sodium
(Na<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and chloride (Cl<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> salts in urine are often too high, placing
an additional risk if used in salt affected soils. Thus, over-applying of
human urine may cause agricultural soil sodicity (Sene et al., 2013; Boh and
Sauerborn, 2014) and increase soil electrical conductivity (Mnkeni et al.,
2008; Hijikata et al., 2013), which inhibit plant growth. Moreover, greywater
is often a source of elevated levels of compounds such as surfactants and
salt, which can alter soil properties (Travis et al., 2010). Hijikata et
al. (2013) showed that Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> and major cations in pilot gardens mainly
derived from greywater following combined application with human urine.</p>
      <p>Several studies have demonstrated the effects of salt accumulation in soil
and impacts on vegetables growth and yields. Dasgan et al. (2002) observed
that plant growth is affected by the osmotic and ion specific effects and by
ionic imbalance when soil accumulates Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>. Moreover, Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> inhibits
plant growth by disrupting the water uptake in the roots, dispersing soil
particles, restricting root growth, and reducing nutrient availability by
competition with major ions (i.e. Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> and Cl<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> in the substrate
(Franzen, 2007). Boh et al. (2013) concluded that a reduction of dry-matter
in the urine compared to ammonium nitrate-fertilized plants under saline
conditions could be associated with toxicities in plants caused by high
concentrations of Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>.</p>
      <p>To alleviate this problem, Ganjegunte et al. (2008) demonstrated that
successful wastewater reuse requires selection of salt tolerant crops,
appropriate irrigation systems, soil suitability, and salinity management
strategies. Additionally, to reduce salt accumulation in soil, compost
supplemented with human urine is recommended by Shrestha et al. (2013). Oo et
al. (2013) reported that compost and vermicompost are effective in
alleviating soil salinity and improving maize productivity in Thailand. The
researchers explained that the soil salinity was reduced because the compost
and vermicompost increased exchangeable potassium (K<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, calcium
(Ca<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, and magnesium (Mg<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> while decreasing exchangeable Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>
This suggests that Ca<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> was exchanged for Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>, and exchangeable
Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> thus leached out of the soil.</p>
      <p>To date, there is very limited information on soil salinity and sodicity from
greywater in conjunction with human urine/compost reuse on agriculture under
Sahelian conditions. Hence, the objective of this study is to evaluate the
effects of sanitary products on vegetable productivity and soil chemical
quality. Specific objectives are: (1) assessment of urine, toilet composts
and greywater combined effect on okra productivity and (2) their effect on
soil salinity during the harvest period.</p>
</sec>
<sec id="Ch1.S2">
  <title>Material and methods</title>
<sec id="Ch1.S2.SS1">
  <title>Research site</title>
      <p>The experiment was implemented at the International Institute for Water and
Environmental Engineering (2iE) at Kamboinsin (12<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>27<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>40.6<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> N and
01<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>32<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>56.0<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> W), Ouagadougou, Burkina Faso. The climate is
semi-arid and characterized by a 25–30 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C mean monthly temperature,
an annual average rainfall of 773 mm, and a reference evapotranspiration is
1900 mm year<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Ouédraogo et al., 2007). The study was performed
during the dry season (March to June 2014).</p>
      <p>Soils are of a tropical ferruginous type and the surface layer (0–15 cm) is
sandy loam (58 % sand, 23 % silt and 19 % clay) while the
sub-layer (15–30 cm) is sandy loam clay (48 % sand, 29 % silt and
23 % clay).</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Experimental setup</title>
      <p>The experiment was arranged in a completely randomized complete block design
with six treatments replicated three times. The treatments were based on the
nitrogen (N) requirement of okra plant which is 100 kg ha<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Grubben
et al., 2004). Sene et al. (2013) suggested that the application of human
urine volume based on the plant N requirement is a good method for urine
reuse. The treatments were as follows : (1) fresh dam water (FDW) as a
negative control, (2) FDW plus chemical fertilizer (i.e. NPK) (FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPK)
as a positive control, (3) treated greywater (TGW), (4) FDW plus Urine/Toilet
Compost (UTC) (FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC), (5) TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC, (6) TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPK. Thus,
there were 18 plots of 1.50 m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> each with an interval of 0.5 m.</p>
      <p>Chemical fertilizer, NPK 14:23:14, was applied at the rate of 23 grams per
plot (g plot<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>; equivalent to 0.15 tons per hectare (t ha<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>
through ring method before seeding. Proportions of 75 % nitrogen from the
urine and 25 % nitrogen from the human faece-based toilet compost were
applied according to Sangare et al. (2014).</p>
      <p>Urine was applied two weeks after sowing at the rate of 1.5 liter per plot
(L plot<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> which was equivalent to 9615 liter per hectare
(L ha<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>. A second application was supplied three weeks after the first
application and a third three weeks after the second application. Toilet
compost was supplied once before sowing with 70 g plot<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, which is
equivalent to 4.45 t ha<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. Seven days after the seedlings emerged,
they were reduced to two plants per hole which is equivalent to twelve plants
per plot. During the experiment, the daily irrigation quantity was modified
during the cultivation period. The total volume of 2.5 L plot<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> during
the 15 days after sowing (DAS) was increased to 10 L plot<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> until
harvest. The total irrigation water volume and the total applied amount of
Total Nitrogen (TN), sodium (Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>) and chloride (Cl<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> derived from
the irrigation water and human excreta during the experiment are shown in
Table 1. The plants were watered twice per day following the watering-can
practices of local gardeners. Plots were manually weeded three (3) times
during the growing period and periodically treated with insecticides
(K-Lambda and Pacha) to fight insects, nematodes, fungi, and pests.</p>
</sec>
<sec id="Ch1.S2.SS3">
  <title>Vegetable growth and yield</title>
      <p>The experiments were carried out using okra (<italic>Abelmoschus esculentus</italic>
(L.) Moench). Okra is a well-known tropical vegetable in the sub-Saharan area
whose fruits can be harvested and dried for off-season consumption (Nana et
al., 2009). The vegetative growth and yields were recorded by plant height,
fresh fruit production, and aboveground biomass. The leaves, stems, and
fruits were weighed for the wet aboveground biomass and were oven dried for
24 h at 105 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C to obtain the total dry biomass.</p>
</sec>
<sec id="Ch1.S2.SS4">
  <title>Irrigation water collection and sample analyses</title>
      <p>Treated greywater was collected from High Rate Algal Ponds (HRAPs) at 2iE
(treatment capacity: 21 m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> day<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>. The HRAPs were discussed
previously at the lab scale by Derabe (2014). Raw greywater came from the
student residence hall of 2iE and was treated with primary purification. The
raw greywater was maintained in rotation (88 turns min<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> by an
electromechanical mixer during seven and a half (7.5) days inside the algal
pond. To remove the excess sludge a secondary clarifier received the effluent
of HRAPs. The effluent from this clarifier was then stored in a pond before
being pumped to a small tower. Finally, treated greywater was collected to
supply an intermediate tank from which the plants were irrigated.</p>
      <p>Fresh dam water (FDW) was collected from the small dam located in Kamboinsin,
18 km from Ouagadougou, which is used for gardening by the population during
the dry season. For this study, FDW was collected from the tank installed in
the field experimental site.</p>
      <p>FDW and TGW samples were collected every three weeks and analyzed for the
following parameters: pH and electrical conductivity (EC) by the
Electrometric method, calcium (Ca<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and magnesium (Mg<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> by the
EDTA titrimetric method, sodium (Na<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and potassium (K<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> by the
Flame photometric method. The sodium adsorption ratio (SAR) describes the
amount of excess Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> relative to Ca<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> and Mg<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> cations. SAR is
a measure which indicates the sodicity of water and predicts possible adverse
effects of Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> in soils. It has been estimated using the following
Eq. (1):

                <disp-formula id="Ch1.E1" content-type="numbered"><mml:math display="block"><mml:mrow><mml:mtext>SAR</mml:mtext><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mo>[</mml:mo><mml:msup><mml:mtext>Na</mml:mtext><mml:mo>+</mml:mo></mml:msup><mml:mo>]</mml:mo></mml:mrow><mml:msqrt><mml:mfrac><mml:mrow><mml:mo>[</mml:mo><mml:msup><mml:mtext>Mg</mml:mtext><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mo>]</mml:mo><mml:mo>×</mml:mo><mml:mo>[</mml:mo><mml:msup><mml:mtext>Ca</mml:mtext><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mo>]</mml:mo></mml:mrow><mml:mn mathvariant="normal">2</mml:mn></mml:mfrac></mml:msqrt></mml:mfrac></mml:mrow></mml:math></disp-formula>

          Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>, Ca<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> and Mg<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> are expressed in milli-equivalents per
liter (meq L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>).</p>
      <p>Total nitrogen (TN) was measured with the direct Hach method. Total
phosphorus (TP) was determined using the ascorbic acid method with
persulfate digestion. Anionic surfactants were measured by methylene blue
method.</p>
      <p>Microbiological analysis of wastewater irrigation samples targeted relevant
hygiene indicator bacteria, such as <italic>Escherichia coli</italic> (<italic>E. coli</italic>) and faecal coliforms. Spread plate method was used after an
appropriate dilution of the samples in accordance with the procedure in
Standard Methods for the Examination of Water and Wastewater (APHA, 1998).
The samples were diluted with sterile Ringer. After dilution, 0.1 mL of the
diluted sample was spread out over the media (Chromo cult Agar), contained in
Petri dishes which were placed in the drying oven for incubation at
44.5 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C for 24 h. <italic>E coli</italic> were identified by their blue or
purple color and faecal coliforms were identified by their red-pink color.
The concentration was expressed by forming colony unit (CFU) reported
relative 100 mL of sample. The bacteria load was expressed by Eq. (2)
according to Rodier (2009):

                <disp-formula id="Ch1.E2" content-type="numbered"><mml:math display="block"><mml:mrow><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mfrac><mml:mi>n</mml:mi><mml:mrow><mml:mi>V</mml:mi><mml:mo>×</mml:mo><mml:mi>d</mml:mi></mml:mrow></mml:mfrac><mml:mo>×</mml:mo><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>

          where <inline-formula><mml:math display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> Bacteria load (CFU/100 mL); <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> Number of colonies in
Petri dishes; <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> Reference volume (100 mL);
<inline-formula><mml:math display="inline"><mml:mi>V</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> Volume of test (1 mL); <inline-formula><mml:math display="inline"><mml:mi>d</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> dilution factor.</p>
</sec>
<sec id="Ch1.S2.SS5">
  <title>Human excreta collection and sample analyses</title>
      <p>Human urine and toilet compost were collected in a urine diverting toilet
implemented with a pilot family in the peri-urban area of Ouagadougou,
Burkina Faso. The compost was collected from the composting toilet designed
to avoid accumulation of moisture in the composting reactor. The composting
toilet was a continuous feed system with constant reaction conditions in
terms of temperature and moisture contents of the matrix. Unlike traditional
composting systems, biodegradation rates of organic matter are very important
because faeces were daily added into the composting reactor of the bio-toilet
and thus accelerated decomposition (Lopez et al., 2004). The reactor can be
removed and carried to the appropriate area, such as farmland, and just be
turned with opening top hatch. In this study, toilet compost was taken from
pilot families reactors after 3 months and stocked at the research site where
daily temperatures ranged from 35–48 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C during the study period.
Composting was used to balance the relation of carbon and nitrogen and if
there was excess nitrogen the amount of compost was reduced (Heinonen-Tanski
et al., 2005). Before reuse, the toilet compost was spread in the sun for a
week to completely inactivate bacteria and pathogens that were not destroyed
during composting.</p>
      <p>Human urine was also collected from the same composting toilet, stored in a
plastic drum, and exposed to sunlight in bottles (1.5 L) before reuse as
fertilizer.</p>
      <p>Undiluted urine sample was used for pH and EC measurements by WTW 350i
multi-parameters before reuse. For compost, pH and EC were determined from a
ratio 1 : 10 (compost: deionized water) using WTW 350i multi-parameters.
Cation and anion determination was performed with an urine sample diluted at
ratio 1 : 250 (urine: deionized water) and with a compost sample diluted at
ratio 1 : 10 (compost: deionized water). The cation and anion
concentrations were determined following the same procedure used for the
irrigation water sample.</p>
      <p>Regarding microbiological analysis, feacal coliforms in urine were determined
following the same procedure used for the irrigation water sample. Compost
samples of 25 g were homogenized in 225 mL of buffer (phosphate) and a 10
fold dilution series was performed in maximum recovery diluents (Ringer
solution). Feacal coliforms were cultured following the method 9215 A in
APHA (1998). Relevant dilutions were spread on plates in duplicate on the
media chromo cult coliform agar ES (Difco, France) and were incubated at
44.5 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C for 24 h. The bacteria load was expressed according to
Eq. (3):

                <disp-formula id="Ch1.E3" content-type="numbered"><mml:math display="block"><mml:mrow><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mfenced open="(" close=")"><mml:msub><mml:mtext>log</mml:mtext><mml:mn>10</mml:mn></mml:msub><mml:mfenced open="(" close=")"><mml:mfrac><mml:mi>n</mml:mi><mml:mrow><mml:mfrac><mml:mi>P</mml:mi><mml:mi>V</mml:mi></mml:mfrac><mml:mo>×</mml:mo><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">t</mml:mi></mml:msub><mml:mo>×</mml:mo><mml:mi>d</mml:mi></mml:mrow></mml:mfrac></mml:mfenced><mml:mo>×</mml:mo><mml:mtext>DW</mml:mtext></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>

          where <inline-formula><mml:math display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> Bacterial load in compost; <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> Number of colonies in
Petri dishes; <inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> Weight of compost or soil samples (25 g);
<inline-formula><mml:math display="inline"><mml:mi>V</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> Volume of Buffer phosphate; <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> Volume of test
(1 mL); <inline-formula><mml:math display="inline"><mml:mi>d</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> factor of dilution; DW <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> Dry Weight.</p>
</sec>
<sec id="Ch1.S2.SS6">
  <title>Soil physico-chemical measurements</title>
      <p>The samples were taken at depths of 0–15 and 15–30 cm, air dried, and
ground and sifted through a 2 mm mesh sieve in the laboratory. Soil pH and
EC were determined in a 1 : 2.5 and 1 : 5 soil/water ratio respectively.
Particle size analysis was performed by sieving and the sedimentometry
method. Total organic carbon (TOC) in the soil samples was determined
according to the modified Walkley and Black (1934) method.</p>
      <p>For cation elements, soil was saturated with pure water (1 : 10) and the
soil suspension was centrifuged at 3000 rpm for 10 min and the supernatant
filtered with 0.45 mm glass microfiber filters (Whatman). Ionic
concentrations (Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>, Mg<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> and Ca<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> were determined by the
same methods described above. The results were expressed in meq kg<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
and were used in Eq. (1) to determine the SAR value. These parameters were
tested to determine the effects they may have on plant growth.</p>
</sec>
<sec id="Ch1.S2.SS7">
  <title>Statistical analyses</title>
      <p>The data collected for different parameters were analyzed for variance. The
means of the parameters for all treatments were calculated. The significance
of the difference between all treatment means was evaluated by the Tukey
multiple comparisons of means test at 95 % confidence intervals
(<inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05). Statistical analysis of these results was carried out using
R for windows version 2.15.1.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results and discussion</title>
<sec id="Ch1.S3.SS1">
  <?xmltex \opttitle{Physical-chemical and microbiological characteristics of\hack{\\} the
irrigation water}?><title>Physical-chemical and microbiological characteristics of<?xmltex \hack{\newline}?> the
irrigation water</title>
      <p>The average physical-chemical and microbiological parameters measured during
this study for both sources of irrigation water are shown in Table 3. Overall
values of the analyzed parameters were higher for TGW than for FDW. The
physical characteristics (pH and EC) of both water sources were in agreement
with the recommendations of the FAO (Pescod, 1992). In terms of nutrient
contents, high nitrogen, phosphorus, and potassium values were observed in
TGW compared to FDW. These two major nutrients in TGW irrigation can promote
plant growth (Travis et al., 2010). Additionally, the sedimentable HRAPs
treatment can reduce the anionic surfactant (Derabe, 2014). Anionic
surfactant in FDW was not detected.</p>
      <p>The microbiological quality of TGW showed higher levels of coliforms than
that of FDW. The faecal coliforms count in TGW and FDW averaged
4.05 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> and 2.05 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> CFU 100 mL<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
respectively, and did not meet current standards which are <inline-formula><mml:math display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> CFU
100 mL<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for unrestricted irrigation, according to WHO (2006).
<italic>E. coli </italic>was not detected in any of the irrigation water samples.
Toscano et al. (2013) who reported that the UV rays significantly improved
the quality of wastewater in terms of inactivation of pathogens such as total
coliforms, <italic>E. coli, salmonella</italic> and enterococci.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <title>Physical-chemical and microbiological characteristics of human
excreta</title>
      <p>The physical and chemical properties of human urine and toilet compost are
summarized in Table 2. The urine sample had the highest electrical
conductivity (EC), 2.5 times more than that of toilet compost. Mnkeni et
al. (2008) showed that excessive urine application inhibited plant growth due
to increasing soil EC. Human urine characterized by a higher SAR value (119),
could be sources of soil salinity and/or sodicity. Total N in the urine
sample was within the range of previous studies such as Kirchmann and
Pettersson (1995).</p>
      <p>The bacteria load results showed that, urine and compost can be used for
cooking vegetables like Okra, cereal crops, industrial crops, fodder crops,
pasture and trees.</p>
</sec>
<sec id="Ch1.S3.SS3">
  <title>Plant height</title>
      <p>The results showing the effect of bio fertilizers and both irrigation waters
on okra growth are given in Fig. 1. Overall, the greatest height enhancement
was obtained in plot irrigated with TGW compared to plots irrigated with FDW
during all the cultivation days.</p>
      <p>The plant height measurement for all treatments was not statistically
different among them until after 56 cultivation days. This study showed that
plants irrigated with TGW (31.63 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.41 cm) were not significantly
higher compared to plants treated with TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC (30.33 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8.78 cm)
during the cultivation days. However, the plant heights in plots treated with
TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC (30.33 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8.78 cm) were significantly higher than those
treated with FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPK (19.02 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.25 cm) at 69 cultivation days.
These results corroborate other studies which demonstrated that the use of
wastewater and/or treated greywater can encourage good plant growth, mainly
because of the significant amount of nutrients (Singh et al., 2012). The
total N amount applied from TGW was 90 % more than those from FDW during
the cultivation growth.</p>
      <p>Compared to plots irrigated with TGW, the lowest plant heights were reported
for plots irrigated with FDW. Plant growth in these plots was not
significantly affected when supplied with human urine and toilet compost.</p>
</sec>
<sec id="Ch1.S3.SS4">
  <title>Vegetable yields</title>
      <p>The different components of okra yield obtained with treatments are
summarized in Table 4. Similar to plant height, the number and yield of okra
fresh fruit was significantly (<inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05) increased in plots irrigated
by TGW compared to plots irrigated by FDW. Indeed, irrigation with TGW alone
improved significantly (<inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05) the number of okra fruit
(9.50 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.71) compared to irrigation with FDW alone
(4.90 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.25). Additionally, a significantly higher number of fruits
were obtained with plants treated with TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC (11.33 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.57)
compared to FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPK (4.25 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.86). However, no significant
differences were observed between fruit number obtained from plant irrigated
with TGW (9.50 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.71) and TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC (11.33 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.57). This
result showed that TN derived from TGW and TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC is sufficient for okra
plant growth.</p>
      <p>Regarding okra fruit yields, the effect of TGW
(0.71 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.33 t ha<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> was significantly higher (<inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05)
compared to FDW (0.23 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.16 t ha<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, which is in accordance
with previous studies (Akponikpè et al., 2011). This improved yield could
be ascribed to water and nutrient supplies, but it most likely occurs because
nutrients are provided and released continuously by TGW.</p>
      <p>In addition, the fruit yields using TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC
(0.67 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.32 t ha<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> were significantly higher (<inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05)
than those obtained using FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPK (0.22 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.17 t ha<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>. A
possible reason for this result might be that the urine and toilet compost
(UTC) were richer in nutrients which are required for plant production. The
nutrients and the variety of inorganic and organic compounds in human urine
promote crop growth (Kirchmann and Pettersson, 1995). At the same time, the
addition of organic amendments (i.e. compost) improves soil structure,
aggregate stability, and moisture retention capacity (Bhattacharyya et al.,
2008). Higher fruit production in the plots with UTC could be explained by
enhanced organic carbon content and microbial activity in the soil (Nakhro
and Dkhar, 2010). Pradhan et al. (2009) showed also that compost or ash
reduced emissions from nitrogen fertilizer and maintained soil potential.
This agrees with the observations of Shrestha et al. (2013), who showed an
improved yield, for sweet pepper when UTC was used. In general, the main
advantages of toilet compost are that it releases nutrients gradually, raises
soil organic matter contents, and minimizes N evaporation.</p>
      <p>However, the lower fruit yields of plants treated with FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPK may be
associated with larger gaseous nitrogen losses from NPK and poor nutrients
contained in FDW. Indeed, Mermoud et al. (2005) reported the high evaporation
which leads to high volatilization of nitrogen in Kamboinsin area. Besides,
chemical fertilizer can remain undissolved lying in the upper layer of dry
soil during the dry season, if there is insufficient irrigation. Furthermore,
commonly used chemical fertilizers include fertilizers containing a single
nutrient which is usually nitrogen (N), phosphorus (P), and potassium (K) and
no other nutrients such as Ca, Mg, Zn, Fe, B important for vegetable growth.</p>
      <p>In regards to only fertilizer sources, okra yields of the plots treated with
UTC were not significantly higher (<inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05) than those fertilized with
NPK with the same irrigation water sources. In fact, okra fruit production
obtained with TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC (0.67 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.32 t ha<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> was not
significantly higher compared to those with TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPK
(0.61 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.42 t ha<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>. For FDW, okra fruit yield was not
significantly different (<inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05) between FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC
(0.47 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.18 t ha<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPK
(0.22 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.17 t ha<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>. These results confirmed that the nutrients
supplied, especially TN from TGW are more important than FDW for plant
production, as shown in Table 1. Unfortunately, excess N derived from TGW and
especially urine leads to over-fertilization of plants. This excess N
application affects nitrogen concentration in plant shoots and roots (Mnkeni
et al., 2008; Sene et al., 2013).</p>
      <p>As opposed to fruit productions, the dry aboveground biomass yields were not
significantly different (<inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05) between all the treatments applied
during this study.</p>
</sec>
<sec id="Ch1.S3.SS5">
  <title>Physical characteristics of soils</title>
      <p>The soil pH values at different depths (0–15 and 15–30 cm) before and at
the end of the cultivation periods are indicated in Fig. 2. Overall the soil
pH in all treatments increased at the end of cultivation compared to that
before cultivation at both depths (0–15 and 15–30 cm). However, there was
no significant difference (<inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05) between pH values of the soil
(5.42 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.23) before and after the cultivation period apart from pH of
soil treated with TGW (7.07 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.80), TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC (7.74 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.11)
and FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC (7.04 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.88) at the depth of 0–15 cm. This study
thus shows that the application of TGW and UTC could lead to an increase in
soil alkalinity over time. Similar observations were found by Mnkeni and
Austin (2009) who showed that pH of human manure is alkaline and will have a
liming effect on acidic soil (i.e. increasing soil pH). Indeed, soil pH
increase may be due to the mineralization of carbon and the subsequent
production of OH<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> ions from compost application (Mkhabela and Warman,
2005).</p>
      <p>At the depth of 15–30 cm, no significant difference (<inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05) was
observed between soil pH values before and after the cultivation period
(Fig. 2).</p>
</sec>
<sec id="Ch1.S3.SS6">
  <title>Salinity and sodium hazards of cultivated soil</title>
      <p>The soil salinity, measured through EC values in all treatments after
irrigation compared to this initial soil at both depths (0–15 and
15–30 cm), is presented at Fig. 3a. The general results showed that soil EC
values at the depth of 0–15 cm were higher compared to those at the depth
of 15–30 cm. This result coincides with the study of Ben-Hur (2005) who has
shown that the salts are located mainly at the depth of 0–20 cm in sandy
soil.</p>
      <p>The highest significant EC value (<inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05) was obtained with
TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC (447.2 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 278.4 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>S cm<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> compared to FDW
(211.5 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 21.0 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>S cm<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPK
(222.3 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 53.5 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>S cm<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, and initial soil
(96.1 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3.5 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>S cm<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> at the depth of 0–15 cm. These
results agree with Hijikata et al. (2013) who indicated that the combined
application of urine and greywater significantly elevates soil EC values.
Additionally, greywater irrigation also increases soil EC values
(Al-Hamaiedeh and Bino, 2010; Faisal Anwar, 2011). In fact, Faisal
Anwar (2011) reported that the salinity level for different plots irrigated
with greywater is between 707–789 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>S cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. Similar to the
0–15 cm depth, at the depth of 15–30 cm, soil EC values were
significantly higher in plots treated with TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC
(350.1 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 92.5 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>S cm<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> compared to those plots
fertilized with FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPK (174.9 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 9.2 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>S cm<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and
compared to the soil before cultivation
(92.4 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 7.0 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>S cm<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> (Fig. 3a). However, no significant
difference was observed between plots treated with TGW
(147.8 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 18.8 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>S cm<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and FDW
(138.2 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 11.2 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>S cm<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>.</p>
      <p>The sodium in the soil was indicated as sodium adsorption ratios (SAR) at the
depths of 0–15 and 15–30 cm before and after cultivation days, as
presented in Fig. 3b. Overall SAR values of soil in all treatments increased
after cultivation compared to the soil before cultivation at both depths
(0–15 and 15–30 cm). One possible reason might be a fast concentration the
mineral constituents brought by the irrigation water (Sebastian et al., 2009)
and by human urine occurs as a result of a high evapotranspiration rate in
the study area (Mermoud et al., 2005).</p>
      <p>At the depth of 0–15 cm, the SAR value of soils treated with TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC
(10.55 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.85) was significantly higher than those treated with
FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPK (2.71 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.67) and soil before cultivation
(0.95 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.21). Thus, this study shows that all plots irrigated with TGW
resulted in higher SAR values compared with those irrigated with FDW excepted
the plot fertilized by FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC. A possible reason could be the high Na
applied through TGW and the urine volume application in our experimental
conditions. Apart from nitrogen, urine contains dissolved salts of Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>
and Cl<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> which explain the increase in substrate salinity at a higher
application dosage (Boh et al., 2013). The sodium effects derived from
greywater have been shown by several studies (Al-Hamaiedeh and Bino, 2010;
Travis et al., 2010). Travis et al. (2010) reported the highest SAR in sandy
soil irrigated with raw greywater. On the other hand, Hulugalle et al. (2006)
reported that irrigation with treated sewage effluent increases the
exchangeable Na, and the exchangeable Ca and K in the clay-textured surface.
This could be due to high quantity of sodium salts typically found in laundry
detergents included in greywater (Christova-Boal et al., 1996). Additionally,
plots amended with UTC resulted in higher SAR values which are likely due to
the largely Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> content in the urine. Sene et al. (2013) showed that
continuous urine application increases the SAR value of the fertilized soil.
Problems with salt accumulation in soil can be worse in dry climates, where
increased water needs in combination with high evapotranspiration rates are
common. An accumulation of salts can result in a decrease in the soil's
capability to absorb and hold water (Mungai, 2008).</p>
      <p>The lowest SAR values in plots treated with FDW (5.61 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.45) and
FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPK (2.71 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.67) are likely explained by the low Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>
concentrations in FDW.</p>
      <p>At the depth of 15–30 cm, SAR values were significantly higher in plots
treated with TGW and fertilized with UTC compared those treated with FDW and
FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPK (Fig. 3b).</p>
      <p>Moreover, SAR values of soil at 0–15 cm depths were significantly higher
(<inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05) compared to those at 15–30 cm depths. Generally, surface
horizons are often more susceptible to increased Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> concentrations
(Johnston et al., 2013). Qureshi and Qadir (1992) reported that Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>
replaced from cation exchange sites stays suspended or moves little to the
lower depths. To mitigate this problem, Ahmad et al. (2013) reported that
crop rotation improves leaching of sodium (Na<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and other ions.
Additionally, Johnston et al. (2013) showed that soil salinity decreases
following the addition of gypsum plus sulfur to saline-sodic (i.e.
SAR <inline-formula><mml:math display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 40) irrigation water. Nevertheless, these researchers advised that
the application of the required dose of sulfuric acid with pre-sowing
irrigations is better for the reclamation of saline-sodic soils to avoid
plant phytotoxicity.</p>
</sec>
<sec id="Ch1.S3.SS7">
  <title>Total organic carbon in cultivated soil</title>
      <p>Figure 4 shows the effect of different treatments on total organic carbon
(TOC) in soil before and after the cultivation periods at the depth of
0–15 cm. There were no significant differences (<inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05) in the TOC
values between treatments receiving TGW and UTC. However, TOC of plots
treated with TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC (6.09 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.99 g kg<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> was
significantly higher compared to those of FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPK
(4.46 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.22 g kg<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and soil before cultivation
(4.00 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.20 g kg<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> at the depth of 0–15 cm. On the other
hand, no significant difference was observed in soils treated with TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>
UTC (6.09 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.99 g kg<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and TGW
(5.79 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.66 g kg<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>. Generally, the application of organic
amendments increases carbon pools which are significantly correlated with
soil organic carbon (Srinivasarao et al., 2014). As such, the application of
compost can increase TOC in soils as shown by Rivero et al. (2004). That
study reported the positive influence of compost on soil organic matter
quality under tropical conditions. Furthermore, Jaiarree et al. (2014) showed
that soil carbon storage increased significantly after compost application to
tropical sandy soil. Similarly, Oo et al. (2013) showed that compost and
vermicompost amendments improved cation exchange capacity, soil organic
carbon, total nitrogen, and extractable phosphorus in saline soil.</p>
</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <title>Conclusion</title>
      <p>The overall results of this study indicate that combined sanitary by-products
from resource oriented sanitation can be reused as a nutrient source and
irrigation water for food production. This study showed that yields obtained
with treated greywater (0.71 t ha<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and the combination of greywater
with urine and compost (0.67 t ha<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> are significantly higher than the
control treatment of dam water and chemical fertilizer (0.22 t ha<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>.
This result means that fertilizer value of the sanitary products is higher
than that of conventional fertilizer. However, urine and compost applied in
association with greywater irrigation did not significantly increase the
plant yield compared to only greywater irrigation. Concerning the sanitary
products effects on soil, SAR values increased significantly in plots
irrigated with greywater (8.86 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.52) and a combination of greywater
and urine and compost (10.55 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.85) compared to the control (dam
water) and conventional treatment (dam water and chemical fertilizer).
Overall, these results provide evidence that the application of TGW and UTC
could lead to an increase in soil alkalinity over time. To mitigate salinity
effects, greywater and fresh water irrigation could be alternated. In
addition, the soil should have a good drainage capacity and should be
regularly monitored to avoid any salt accumulation.</p>
</sec>

      
      </body>
    <back><ack><title>Acknowledgements</title><p>The authors are grateful to the Japan International Cooperation Agency (JICA)
for providing financial support for the research work. The authors are
grateful to Rabah Lahmar (CIRAD, Burkina Faso) and Naoyuki Funamizu (Hokkaido
University, Japan) for their suggestions, which helped improve the
manuscript.</p><p>We are indebted to Artemi Cerdà and the executive editors of SOIL for
their kind invitation to prepare this paper.</p></ack><ref-list>
    <title>References</title>

      <ref id="bib1.bib1"><label>1</label><mixed-citation>Ahmad, S., Ghafoor, A., Akhtar, M. E., and Khan, M. Z.: Ionic displacement and
reclamation of saline-sodic soils using chemical amendments and crop
rotation, Land Degrad. Dev., 24, 170–178, <ext-link xlink:href="http://dx.doi.org/10.1002/ldr.1117" ext-link-type="DOI">10.1002/ldr.1117</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib2"><label>2</label><mixed-citation>Akponikpè, I. P. B., Wima, K., Yacouba, H., and Mermoud, A.: Reuse of
domestic wastewater treated in macrophyte ponds to irrigate tomato and
eggplant in semi-arid West-Africa: Benefits and risks, Agr. Water Manage.,
98, 834–840, <ext-link xlink:href="http://dx.doi.org/10.1016/j.agwat.2010.12.009" ext-link-type="DOI">10.1016/j.agwat.2010.12.009</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib3"><label>3</label><mixed-citation>Al-Hamaiedeh, H. and Bino, M.: Effect of treated greywater reuse in
irrigation on soil and plants, Desalination, 256, 115–119,
<ext-link xlink:href="http://dx.doi.org/10.1016/j.desal.2010.02.004" ext-link-type="DOI">10.1016/j.desal.2010.02.004</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib4"><label>4</label><mixed-citation>APHA: Standard methods for the examination of water and wastewater, 20th
Edn., Washington D.C., American Public Health Association, 1220 pp., 1998.</mixed-citation></ref>
      <ref id="bib1.bib5"><label>5</label><mixed-citation>Ben-Hur, M.: Sewage water treatments and reuse in Israël, Institute of
Soil, Water and Environment Science, The Volcani Center, 14 pp., 2005.</mixed-citation></ref>
      <ref id="bib1.bib6"><label>6</label><mixed-citation>Bhattacharyya, R., Kundu, S., Prakash, V., and Gupta, H. S.: Sustainability
under combined application of mineral and organic fertilizers in a rainfed
soybean-wheat system of the Indian Himalayas, Eur. J. Agron., 28, 33–46,
<ext-link xlink:href="http://dx.doi.org/10.1016/j.eja.2007.04.006" ext-link-type="DOI">10.1016/j.eja.2007.04.006</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib7"><label>7</label><mixed-citation>Boh, M. Y. and Sauerborn, J.: Effect of NaCl-induced salinity and human urine
fertilization on cultivation substrate chemical properties, Open J. Soil
Sci., 4, 16–25, 2014.</mixed-citation></ref>
      <ref id="bib1.bib8"><label>8</label><mixed-citation>Boh, M. Y., Müller, T., and Sauerborn, J.: Maize (<italic>Zea mays</italic> L.) response to urine
and wood ash fertilization under saline (NaCl) soil concentrations, Int. J.
Agric. Sci., 3, 333–345, 2013.</mixed-citation></ref>
      <ref id="bib1.bib9"><label>9</label><mixed-citation>Brzezińska, M., Sokołowska, Z., Alekseeva, T., Alekseev, A., Hajnos,
M., and Szarlip, P.: Some characteristics of organic soils irrigated with
municipal wastewater, Land Degrad. Dev., 22, 586–595, <ext-link xlink:href="http://dx.doi.org/10.1002/ldr.1036" ext-link-type="DOI">10.1002/ldr.1036</ext-link>,
2011.</mixed-citation></ref>
      <ref id="bib1.bib10"><label>10</label><mixed-citation>Christova-Boal, A. D., Eden, R. E., and McFarlane, S.: An investigation into
greywater reuse for urban residential properties, Desalination, 106,
391–397, <ext-link xlink:href="http://dx.doi.org/10.1016/s0011-9164(96)00134-8" ext-link-type="DOI">10.1016/s0011-9164(96)00134-8</ext-link>, 1996.</mixed-citation></ref>
      <ref id="bib1.bib11"><label>11</label><mixed-citation>Dasgan, Y. H., Aktas, H., Abak, K., and Cakmak, I.: Determination of
screening techniques to salinity tolerance in tomatoes and investigation of
genotype response, Plant Sci., 163, 695–703, 2002.</mixed-citation></ref>
      <ref id="bib1.bib12"><label>12</label><mixed-citation>Derabe, M. H.: High rate algal pond for greywater treatment in arid and
semi-arid areas, PhD thesis, Graduate School of Engineering, Hokkaido
University, Japan, 80 pp., 2014.</mixed-citation></ref>
      <ref id="bib1.bib13"><label>13</label><mixed-citation>Esrey, S. A., Andersson, I., Hillers, A., and Sawyer, R.: Closing the loop:
Ecological Sanitation for food security, Water Resour., 18, 43–47, 2001.</mixed-citation></ref>
      <ref id="bib1.bib14"><label>14</label><mixed-citation>Faisal Anwar, A. H. M.: Effect of laundry greywater irrigation on soil
properties, J. Environ. Res. Dev., 5, 863–870, 2011.</mixed-citation></ref>
      <ref id="bib1.bib15"><label>15</label><mixed-citation>Fidjeland, J., Magri, M. E., Jönsson, H., Albihn, A., and Vinneras, B.:
The potential for self-sanitisation of faecal sludge by intrinsic ammonia,
Water Res., 47, 6014–6023, 2013.</mixed-citation></ref>
      <ref id="bib1.bib16"><label>16</label><mixed-citation>Franzen, D.: Managing Saline Soils in North Dakota. NDSU Extension Service,
North Dakota State University, Fargo, ND, 58105, SF-1087 (Revised), 1–11,
2007.</mixed-citation></ref>
      <ref id="bib1.bib17"><label>17</label><mixed-citation>Ganjegunte, G. K., King, L. A., and Vance, G. F.: Cumulative soil chemistry
changes from land application of saline-sodic waters, J. Environ. Qual., 37,
S128–S138, 2008.</mixed-citation></ref>
      <ref id="bib1.bib18"><label>18</label><mixed-citation>Germer, J., Addai, S., and Sauerborn, J.: Response of grain sorghum to
fertilisation with human urine, Field Crop. Res., 122, 234–241, 2011.</mixed-citation></ref>
      <ref id="bib1.bib19"><label>19</label><mixed-citation>Grubben, H. G., Denton, O. A., Messiaen, C. M., Schippers, R. R., Lemaneus,
R. H., and Oyen, L. P.: Plant Resources of Tropical Africa 2. Prota
Foundation, Netherland, 27–29, 2004.</mixed-citation></ref>
      <ref id="bib1.bib20"><label>20</label><mixed-citation>Hajkowicz, S. and Young, M.: Costing yield loss from acidity, sodicity and
dryland salinity to Australian agriculture, Land Degrad. Dev., 16, 417–433,
2005.</mixed-citation></ref>
      <ref id="bib1.bib21"><label>21</label><mixed-citation>Heinonen-Tanski, H. and van Wijk-Sijbesma, C.: Human excreta for plant
production. Bioresource Technol., 96, 403–411,
<ext-link xlink:href="http://dx.doi.org/10.1016/j.biortech.2003.10.036" ext-link-type="DOI">10.1016/j.biortech.2003.10.036</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bib22"><label>22</label><mixed-citation>Hijikata, N., Fujii, T., Sangare, D., Sou, M., Ushijima, K., and Funamizu,
N.: Salts monitoring and management for human urine fertilization and treated
greywater irrigation in sub-Sahel region, J. Arid Land Stud., 24, 85–88,
2014.</mixed-citation></ref>
      <ref id="bib1.bib23"><label>23</label><mixed-citation>Höglund, C., Stenstrom, T. A., and Ashbolt, N.: Microbial risk assessment
of source-separated urine used in agriculture, Waste Manage. Res., 20,
150–161, 2002.</mixed-citation></ref>
      <ref id="bib1.bib24"><label>24</label><mixed-citation>Hulugalle, N. R., Weaver, T. B., Ghadiri, H., and Hicks, A.: Changes in soil
properties of an eastern Australian vertisol irrigated with treated sewage
effluent following gypsum application, Land Degrad. Dev., 17, 527–540,
<ext-link xlink:href="http://dx.doi.org/10.1002/ldr.734" ext-link-type="DOI">10.1002/ldr.734</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib25"><label>25</label><mixed-citation>Jaiarree, S., Chidthaisong, A., Tangtham, N., Polprasert, C., Sarobol, E.,
and Tyler, S. C.: Carbon budget and sequestration potential in a sandy soil
treated with compost, Land Degrad. Dev., 25, 120–129, <ext-link xlink:href="http://dx.doi.org/10.1002/ldr.1152" ext-link-type="DOI">10.1002/ldr.1152</ext-link>,
2011.</mixed-citation></ref>
      <ref id="bib1.bib26"><label>26</label><mixed-citation>Johnston, R. C., Vance, G. F., and Ganjegunte, G. K.: Soil property changes
following irrigation with coal-bed natural gas water: role of water
treatments, soil amendments and land suitability, Land Degrad. Dev., 24,
350–362, <ext-link xlink:href="http://dx.doi.org/10.1002/ldr.1132" ext-link-type="DOI">10.1002/ldr.1132</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib27"><label>27</label><mixed-citation>Kirchmann, H. and Pettersson, S.: Human urine-chemical composition and
fertilizer use efficiency, Fert. Res., 40, 149–154, 1995.</mixed-citation></ref>
      <ref id="bib1.bib28"><label>28</label><mixed-citation>Lopez, Z. M. A., Funamizu, N., and Takakuwa, T.: Modeling of aerobic
biodegradation of using sawdust as a matrix, Water Res., 38, 1327–1339,
2004.</mixed-citation></ref>
      <ref id="bib1.bib29"><label>29</label><mixed-citation>Mara, D. D., Sleigh, P. A., Blumenthal, U. J., and Carr, R. M.: Health risks in
wastewater irrigation: Comparing estimates from quantitative microbial risk
analyses and epidemiological studies, J. Water Health, 5, 39–50, 2007.</mixed-citation></ref>
      <ref id="bib1.bib30"><label>30</label><mixed-citation>Mermoud, A., Tamini, T. D., and Yacouba, H.: Impact of different irrigation
schedules on the water balance components of an onion crop in a semi-arid
zone, Agr. Water Manage., 77, 282–295, <ext-link xlink:href="http://dx.doi.org/10.1016/j.agwat.2004.09.033" ext-link-type="DOI">10.1016/j.agwat.2004.09.033</ext-link>,
2005.</mixed-citation></ref>
      <ref id="bib1.bib31"><label>31</label><mixed-citation>Mkhabela, M. and Warman, P. R.: The influence of municipal solid waste
compost on yield, soil phosphorus availability and uptake by two vegetable
crops, grown in a Pugwash sandy loam soil in Nova Scotia, Agr.
Ecosyst. Environ., 106, 57–67, <ext-link xlink:href="http://dx.doi.org/10.1016/j.agee.2004.07.014" ext-link-type="DOI">10.1016/j.agee.2004.07.014</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bib32"><label>32</label><mixed-citation>Mnkeni, P. N. S. and Austin, L. M.: Fertilizer value of human manure from pilot
urine-diversion toilets, Water SA, 35, 133–138, 2009.</mixed-citation></ref>
      <ref id="bib1.bib33"><label>33</label><mixed-citation>Mnkeni, P. N. S., Kutu, F. R., and Muchaonyerwa, P.: Evaluation of human urine
as a source of nutrients for selected vegetables and maize under tunnel house
conditions in the Eastern Cape, South Africa, Waste Manage. Res., 26,
132–139, <ext-link xlink:href="http://dx.doi.org/10.1177/0734242X07079179" ext-link-type="DOI">10.1177/0734242X07079179</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib34"><label>34</label><mixed-citation>Morris, M., Kelly, V. A., Kopicki, R. J., and Byerlee, D.: Fertilizer use in
African Agriculture. The International Bank for Reconstruction and
Development/The World Bank , 1818 H Street NW,Washington, DC 20433, USA,
p. 144, <ext-link xlink:href="http://dx.doi.org/10.1596/978-0-8213-6880-0" ext-link-type="DOI">10.1596/978-0-8213-6880-0</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bib35"><label>35</label><mixed-citation>Mungai, G. G.: Impacts of long-term greywater disposal on soil properties and
reuse in urban agriculture in an informal settlement-a case study of Waruku,
Nairobi, UNESCO-IHE Institute for Water Education, Eawag, 2008.</mixed-citation></ref>
      <ref id="bib1.bib36"><label>36</label><mixed-citation>Muyen, Z., Moore, G. A., and Wrigley, R. J.: Soil salinity and sodicity
effects of wastewater irrigation in South East Australia, Agr. Water
Manage., 99, 33–41, 2011.</mixed-citation></ref>
      <ref id="bib1.bib37"><label>37</label><mixed-citation>Nakhro, N. and Dkhar, M. S.: Impact of organic and inorganic fertilizers on
microbial populations and biomass in paddy field soil, J. Agron., 9,
102–110, 2010.</mixed-citation></ref>
      <ref id="bib1.bib38"><label>38</label><mixed-citation>Oo, A. N., Iwai, C. B., and Saenjan, P.: Soil properties and maize growth in
saline and nonsaline soils using cassava-industrial waste compost and
vermicompost with or without earthworms, Land Degrad. Dev., online first,
<ext-link xlink:href="http://dx.doi.org/10.1002/ldr.2208" ext-link-type="DOI">10.1002/ldr.2208</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib39"><label>39</label><mixed-citation>Ouédraogo, E., Mando, A., Brussaard, L., and Stroosnijder, L.: Tillage
and fertility management effects on soil organic matter and sorghum yield in
semi-arid West Africa, Soil Till. Res., 94, 64–74, 2007.</mixed-citation></ref>
      <ref id="bib1.bib40"><label>40</label><mixed-citation>Pescod, M. B.: Wastewater treatment and use in agriculture, in: FAO
Irrigation and Drainage, Paper No. 47, FAO, Rome, p. 125, 1992.</mixed-citation></ref>
      <ref id="bib1.bib41"><label>41</label><mixed-citation>Pradhan, S. K., Holopainen, J. K., and Heinonen-Tanski, H.: Stored human urine
supplemented with wood ash as fertilizer in tomato (<italic>Lycopersicon esculentum</italic>) cultivation and its impacts on fruit yield and quality, J. Agr.
Food Chem., 57, 7612–7617, <ext-link xlink:href="http://dx.doi.org/10.1021/jf9018917" ext-link-type="DOI">10.1021/jf9018917</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib42"><label>42</label><mixed-citation>Qadir, M., Ghafoor, A., and Murtaza, G.: Amelioration strategies for saline
soils: a review, Land Degrad. Dev., 11, 501–521,
<ext-link xlink:href="http://dx.doi.org/10.1002/1099-145X(200011/12)11:6&lt;501::AID-LDR405&gt;3.0.CO;2-S" ext-link-type="DOI">10.1002/1099-145X(200011/12)11:6&lt;501::AID-LDR405&gt;3.0.CO;2-S</ext-link>, 2001.</mixed-citation></ref>
      <ref id="bib1.bib43"><label>43</label><mixed-citation>Qadir, M., Qureshi, A. S., and Cheraghi, S. A. M.: Extent and characterization
of salt-affected soils in Iran and strategies for their amelioration and
management, Land Degrad. Dev., 19, 214–227, <ext-link xlink:href="http://dx.doi.org/10.1002/ldr.818" ext-link-type="DOI">10.1002/ldr.818</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib44"><label>44</label><mixed-citation>Qureshi, R. H. and Qadir, M.: Is the reclamation of dense saline-sodic soils
uneconomical? Myths and facts, Pak. J. Agr. Sci., 29, 317–318, 1992.</mixed-citation></ref>
      <ref id="bib1.bib45"><label>45</label><mixed-citation>Rivero, C., Chirenje, T., Ma, L. G., and Martinez, G.: Influence of compost
on soil organic matter quality under tropical conditions, Geoderma, 123,
355–361, <ext-link xlink:href="http://dx.doi.org/10.1016/j.geoderma.2004.03.002" ext-link-type="DOI">10.1016/j.geoderma.2004.03.002</ext-link>, 2004.</mixed-citation></ref>
      <ref id="bib1.bib46"><label>46</label><mixed-citation>Rodier, J.: Analyse de l'eau, 9e édition. Chapitre B?: Analyse
microbiologique des eaux, 9th Edn., Dunod, Paris, France, 719–855, 2009.</mixed-citation></ref>
      <ref id="bib1.bib47"><label>47</label><mixed-citation>Sangare, D., Sou/Dakoure, M., Hijikata, N., Lahmar, R., Yacouba, H.,
Coulibaly, L., and Funamizu, N.: Toilet compost and human urine used in
agriculture: fertilizer value assessment and effect on cultivated soil
properties, Environ. Technol., 36, 1291–1298,
<ext-link xlink:href="http://dx.doi.org/10.1080/09593330.2014.984774" ext-link-type="DOI">10.1080/09593330.2014.984774</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib48"><label>48</label><mixed-citation>Sebastian, S. P., Udayasoorian, C., and Jayabalakrishnan, R. M.: Influence of
amendments on soil fertility status of sugarcane with poor quality irrigation
water, Sugar Tech., 11, 338–346, 2009.</mixed-citation></ref>
      <ref id="bib1.bib49"><label>49</label><mixed-citation>Sene, M., Hijikata, N., Ushijima, K., and Funamizu, N.: Effects of extra
human urine volume application in plant and soil, Int. Res. J. Agric. Sci.
Soil Sci., 3, 183–193, 2013.</mixed-citation></ref>
      <ref id="bib1.bib50"><label>50</label><mixed-citation>Shrestha, D., Srivastava, A., Shakya, M. S., Khadka, J., and Acharya, S. B.:
Use of compost supplemented human urine in sweet pepper (<italic>Capsicum annuum</italic> L.) production, Sci. Hortic., 153, 8–12,
<ext-link xlink:href="http://dx.doi.org/10.1016/j.scienta.2013.01.022" ext-link-type="DOI">10.1016/j.scienta.2013.01.022</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib51"><label>51</label><mixed-citation>Singh, P. K., Deshbhratar, P. B., and Ramteke, D. S.: Effects of sewage
wastewater irrigation on soil properties, crop yield and environment, Agr.
Water Manage., 103, 100–104, <ext-link xlink:href="http://dx.doi.org/10.1016/j.agwat.2011.10.022" ext-link-type="DOI">10.1016/j.agwat.2011.10.022</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib52"><label>52</label><mixed-citation>Srinivasarao, C. H., Venkateswarlu, B., Lal, R., Singh, A. K., Kundu, S.,
Vittal, K. P. R., Patel, J. J., and Patel, M. M.: Long-term manuring and
fertilizer effects on depletion of soil organic carbon stocks under pearl
millet-cluster bean-castor rotation in western India, Land Degrad. Dev., 25,
173–183, <ext-link xlink:href="http://dx.doi.org/10.1002/ldr.1158" ext-link-type="DOI">10.1002/ldr.1158</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib53"><label>53</label><mixed-citation>Toscano, A., Hellio, C., Marzo, A., Milani, M., Lebret, K., Giuseppe, L.,
Cirelli, L., and Langergraber, G.: Removal efficiency of a constructed
wetland combined with ultrasound and UV devices for wastewater reuse in
agriculture, Environ. Technol., 34, 2327–2336,
<ext-link xlink:href="http://dx.doi.org/10.1080/09593330.2013.767284" ext-link-type="DOI">10.1080/09593330.2013.767284</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib54"><label>54</label><mixed-citation>Travis, M. J., Wiel-Shafran, A., Weisbrod, N., Adar, E., and Gross, A.:
Greywater reuse for irrigation: Effect on soil properties, Sci. Total
Environ., 408, 2501–2408, <ext-link xlink:href="http://dx.doi.org/10.1016/j.scitotenv.2010.03.005" ext-link-type="DOI">10.1016/j.scitotenv.2010.03.005</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib55"><label>55</label><mixed-citation>Useni, S. Y., Chukiyabo, K. M., Tshomba, K. J., Muyambo, M. E., Kapalanga, K.
P., Ntumba, N. F., Kasangij, A. K. P., Kyungu, K., Baboy, L. L., Nyembo, K.
L., and Mpundu, M. M.: Utilisation des déchets humains recyclés pour
augmentation de la production du maïs (Zea mays L.) sur un ferralsol du
sud-est de la RD Congo, J. Appl. Biosci., 66, 5070–5081, 2013.</mixed-citation></ref>
      <ref id="bib1.bib56"><label>56</label><mixed-citation>van Leeuwen, J. P., Lehtinen, T., Lair, G. J., Bloem, J., Hemerik, L.,
Ragnarsdóttir, K. V., Gísladóttir, G., Newton, J. S., and de Ruiter, P.
C.: An ecosystem approach to assess soil quality in organically and
conventionally managed farms in Iceland and Austria, SOIL, 1, 83–101,
<ext-link xlink:href="http://dx.doi.org/10.5194/soil-1-83-2015" ext-link-type="DOI">10.5194/soil-1-83-2015</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib57"><label>57</label><mixed-citation>Walkley, A. and Black, I. A.: An experimentation of the Degtjareff method
for determining soil organic matter and a proposed modification of the
chromic acid titration method, Soil Sci., 37, 29–38, 1934.</mixed-citation></ref>
      <ref id="bib1.bib58"><label>58</label><mixed-citation>WHO: Guidelines for the safe use of wastewater, excreta and greywater,
Vol. 4, Excreta and Greywater Use in Agriculture, WHO Press, Geneva,
Switzerland, 204 pp., 2006.</mixed-citation></ref>
      <ref id="bib1.bib59"><label>59</label><mixed-citation>Winker, M., Clemens, J., Reich, M., Gulyas, H., and Otterpohl, R.: Ryegrass
uptake of carbamazepine and ibuprofen applied by urine fertilization, Sci.
Total Environ., 408, 1902–1908, 2010.</mixed-citation></ref>

  </ref-list><app-group content-type="float"><app><title/>

<?xmltex \floatpos{t}?><table-wrap id="App1.Ch1.T1"><caption><p>Total amount of N, Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> and Cl<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> derived from irrigation water
and human excreta during the cultivation experiment.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="4">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">Different</oasis:entry>  
         <oasis:entry colname="col2">Total N g plot<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">Total Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> g plot<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">Total Cl<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> g pot<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Treatments</oasis:entry>  
         <oasis:entry colname="col2">68 days<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">68 days<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">68 days<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">FDW</oasis:entry>  
         <oasis:entry colname="col2">0.96</oasis:entry>  
         <oasis:entry colname="col3">3.68</oasis:entry>  
         <oasis:entry colname="col4">1.81</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">TGW</oasis:entry>  
         <oasis:entry colname="col2">9.14</oasis:entry>  
         <oasis:entry colname="col3">40.42</oasis:entry>  
         <oasis:entry colname="col4">11.27</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPK</oasis:entry>  
         <oasis:entry colname="col2">7.27</oasis:entry>  
         <oasis:entry colname="col3">3.68</oasis:entry>  
         <oasis:entry colname="col4">1.81</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPK</oasis:entry>  
         <oasis:entry colname="col2">15.46</oasis:entry>  
         <oasis:entry colname="col3">40.42</oasis:entry>  
         <oasis:entry colname="col4">11.27</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC</oasis:entry>  
         <oasis:entry colname="col2">18.93</oasis:entry>  
         <oasis:entry colname="col3">77.93</oasis:entry>  
         <oasis:entry colname="col4">58.24</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC</oasis:entry>  
         <oasis:entry colname="col2">27.12</oasis:entry>  
         <oasis:entry colname="col3">114.67</oasis:entry>  
         <oasis:entry colname="col4">67.70</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<?xmltex \floatpos{t}?><table-wrap id="App1.Ch1.T2"><caption><p>Physical and chemical properties of human excreta.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="3">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Parameters</oasis:entry>  
         <oasis:entry colname="col2">Urine</oasis:entry>  
         <oasis:entry colname="col3">Toilet Compost</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">pH<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">8.10</oasis:entry>  
         <oasis:entry colname="col3">9.04</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">EC (<inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>S cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col2">21 000</oasis:entry>  
         <oasis:entry colname="col3">4190</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Total Nitrogen (TN)</oasis:entry>  
         <oasis:entry colname="col2">2.90 g L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">54.7 g kg<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Total Phosphorus (TP)</oasis:entry>  
         <oasis:entry colname="col2">0.04 g L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">194 g kg<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Potassium (K<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">3.20 g L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">848 g kg<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Sodium (Na<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">5.20 g L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">565 g kg<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Calcium (Ca<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">0.06 g L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">160 g kg<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Magnésium (Mg<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">0.05 g L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">96 g kg<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Chlorure (Cl<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">2.60 g L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">497 g kg<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SAR<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">119</oasis:entry>  
         <oasis:entry colname="col3">11</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Total organic Carbon (TOC)</oasis:entry>  
         <oasis:entry colname="col2">–</oasis:entry>  
         <oasis:entry colname="col3">800.2 g kg<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">C <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N</oasis:entry>  
         <oasis:entry colname="col2">–</oasis:entry>  
         <oasis:entry colname="col3">14.62</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Faecal coliforms</oasis:entry>  
         <oasis:entry colname="col2">5.12 log<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>10</mml:mn></mml:msub></mml:math></inline-formula> CFU 100 mL<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">4.40 log<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>10</mml:mn></mml:msub></mml:math></inline-formula> CFU g DW<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula> No unit, CFU: Colony Forming Unit; DW: dry weight</p></table-wrap-foot></table-wrap>

<?xmltex \floatpos{t}?><table-wrap id="App1.Ch1.T3"><caption><p>Physico-chemical characteristics of treated greywater and fresh dam
water.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="left"/>
     <oasis:colspec colnum="5" colname="col5" align="left"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">Parameters</oasis:entry>  
         <oasis:entry colname="col2">Units</oasis:entry>  
         <oasis:entry colname="col3">Treated greywater</oasis:entry>  
         <oasis:entry colname="col4">Fresh dam water</oasis:entry>  
         <oasis:entry colname="col5">References</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3">(TGW) (<inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 4)</oasis:entry>  
         <oasis:entry colname="col4">(FDW) (<inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 3)</oasis:entry>  
         <oasis:entry colname="col5"/>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">pH</oasis:entry>  
         <oasis:entry colname="col2">–</oasis:entry>  
         <oasis:entry colname="col3">7.84 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.48</oasis:entry>  
         <oasis:entry colname="col4">7.34 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.28</oasis:entry>  
         <oasis:entry colname="col5">6.5–8<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mi mathvariant="normal">a</mml:mi></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">EC</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>S cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">589.2 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 412.6</oasis:entry>  
         <oasis:entry colname="col4">193.6 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5.50</oasis:entry>  
         <oasis:entry colname="col5">1–3000<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mi mathvariant="normal">a</mml:mi></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">TN</oasis:entry>  
         <oasis:entry colname="col2">mg L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">15.90 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.34</oasis:entry>  
         <oasis:entry colname="col4">1.67 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.17</oasis:entry>  
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">TP</oasis:entry>  
         <oasis:entry colname="col2">mg L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">11.90 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.50</oasis:entry>  
         <oasis:entry colname="col4">2.8 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.9</oasis:entry>  
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">K<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">mg L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">23.10 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5.20</oasis:entry>  
         <oasis:entry colname="col4">11.5 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.8</oasis:entry>  
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Cl<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">mg L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">19.6</oasis:entry>  
         <oasis:entry colname="col4">3.15</oasis:entry>  
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">mg L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">70.3 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8.5</oasis:entry>  
         <oasis:entry colname="col4">6.4 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.3</oasis:entry>  
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Ca<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">mg L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">19.8 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3.2</oasis:entry>  
         <oasis:entry colname="col4">20.4 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6.8</oasis:entry>  
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Mg<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">mg L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">4.4 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.8</oasis:entry>  
         <oasis:entry colname="col4">4.0 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.7</oasis:entry>  
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SAR</oasis:entry>  
         <oasis:entry colname="col2">–</oasis:entry>  
         <oasis:entry colname="col3">3.17 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.89</oasis:entry>  
         <oasis:entry colname="col4">0.30 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.12</oasis:entry>  
         <oasis:entry colname="col5">15<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mi mathvariant="normal">a</mml:mi></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Surfactant</oasis:entry>  
         <oasis:entry colname="col2">mg L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">1.41</oasis:entry>  
         <oasis:entry colname="col4">n.d.</oasis:entry>  
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Faecal coliforms</oasis:entry>  
         <oasis:entry colname="col2">CFU 100 mL<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">4.05 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.1 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">2.05 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.9 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mo>≤</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mspace linebreak="nobreak" width="0.25em"/><mml:mi mathvariant="normal">b</mml:mi></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>E. coli</italic></oasis:entry>  
         <oasis:entry colname="col2">CFU 100 mL<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">n.d.</oasis:entry>  
         <oasis:entry colname="col4">n.d.</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mo>≤</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mspace linebreak="nobreak" width="0.25em"/><mml:mi mathvariant="normal">b</mml:mi></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p>n.d. not detected; <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>: number of samples; <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mi mathvariant="normal">a</mml:mi></mml:msup></mml:math></inline-formula> Pescod (1992); <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mi mathvariant="normal">b</mml:mi></mml:msup></mml:math></inline-formula> WHO (2006).</p></table-wrap-foot></table-wrap>

<?xmltex \floatpos{t}?><table-wrap id="App1.Ch1.T4"><caption><p>Yield components of okra obtained from different fertilizer
treatments (same small alphabetic letters do not differ significantly at the
5 % level of probability at different treatments).</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="left"/>
     <oasis:colspec colnum="5" colname="col5" align="left"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">Different</oasis:entry>  
         <oasis:entry colname="col2">Number of</oasis:entry>  
         <oasis:entry colname="col3">Fresh Fruit</oasis:entry>  
         <oasis:entry colname="col4">Dry leaf</oasis:entry>  
         <oasis:entry colname="col5">Dry above</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Treatments</oasis:entry>  
         <oasis:entry colname="col2">fresh fruits</oasis:entry>  
         <oasis:entry colname="col3">Production</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> stem</oasis:entry>  
         <oasis:entry colname="col5">ground biomass</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3">(t ha<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">(t ha<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">(t ha<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">FDW</oasis:entry>  
         <oasis:entry colname="col2">4.90 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.25c</oasis:entry>  
         <oasis:entry colname="col3">0.23 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.16b</oasis:entry>  
         <oasis:entry colname="col4">0.20 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>  
         <oasis:entry colname="col5">0.25 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.08</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">TGW</oasis:entry>  
         <oasis:entry colname="col2">9.50 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.71ab</oasis:entry>  
         <oasis:entry colname="col3">0.71 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.33a</oasis:entry>  
         <oasis:entry colname="col4">0.30 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.20</oasis:entry>  
         <oasis:entry colname="col5">0.46 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.20</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPK</oasis:entry>  
         <oasis:entry colname="col2">4.25 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.86c</oasis:entry>  
         <oasis:entry colname="col3">0.22 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.17b</oasis:entry>  
         <oasis:entry colname="col4">0.21 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>  
         <oasis:entry colname="col5">0.26 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.08</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NPK</oasis:entry>  
         <oasis:entry colname="col2">8.08 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.81b</oasis:entry>  
         <oasis:entry colname="col3">0.61 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.42a</oasis:entry>  
         <oasis:entry colname="col4">0.24 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.09</oasis:entry>  
         <oasis:entry colname="col5">0.36 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.09</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">FDW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC</oasis:entry>  
         <oasis:entry colname="col2">6.66 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.53bc</oasis:entry>  
         <oasis:entry colname="col3">0.47 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.18ab</oasis:entry>  
         <oasis:entry colname="col4">0.31 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.14</oasis:entry>  
         <oasis:entry colname="col5">0.41 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.14</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">TGW <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> UTC</oasis:entry>  
         <oasis:entry colname="col2">11.33 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.57a</oasis:entry>  
         <oasis:entry colname="col3">0.67 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.32a</oasis:entry>  
         <oasis:entry colname="col4">0.33 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.01</oasis:entry>  
         <oasis:entry colname="col5">0.48 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.06</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <?xmltex \floatpos{t}?><fig id="App1.Ch1.F1"><caption><p>Effect of different treatments on the height of okra plant during
cultivation days.</p></caption>
      <?xmltex \igopts{width=284.527559pt}?><graphic xlink:href="https://soil.copernicus.org/preprints/2/291/2015/soild-2-291-2015-f01.pdf"/>

    </fig>

      <?xmltex \floatpos{t}?><fig id="App1.Ch1.F2"><caption><p>Soil pH values at different depths (0–15 and 15–30 cm) before and
after cultivation periods (same small alphabetic letters do not differ
significantly at the 5 % level of probability at the depths of 0–15 and
15–30 cm respectively).</p></caption>
      <?xmltex \igopts{width=284.527559pt}?><graphic xlink:href="https://soil.copernicus.org/preprints/2/291/2015/soild-2-291-2015-f02.png"/>

    </fig>

      <?xmltex \floatpos{t}?><fig id="App1.Ch1.F3"><caption><p>Soil EC <bold>(a)</bold> and SAR <bold>(b)</bold> values at different depths (0–15 and
15–30 cm) before and after the cultivation periods (same small alphabetic
letters do not differ significantly at the 5 % level of probability at
the depth of 0–15 and 15–30 cm respectively).</p></caption>
      <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://soil.copernicus.org/preprints/2/291/2015/soild-2-291-2015-f03.png"/>

    </fig>

      <?xmltex \floatpos{t}?><fig id="App1.Ch1.F4"><caption><p>Different total organic carbon (TOC) values of soil at the depth
of 0–15 cm before and after cultivation periods (same small alphabetic
letters do not differ significantly at the 5 % level of probability at
different treatments).</p></caption>
      <?xmltex \igopts{width=227.622047pt}?><graphic xlink:href="https://soil.copernicus.org/preprints/2/291/2015/soild-2-291-2015-f04.png"/>

    </fig>

    </app></app-group></back>
    </article>
