Articles | Volume 8, issue 2
SOIL, 8, 699–715, 2022
https://doi.org/10.5194/soil-8-699-2022
SOIL, 8, 699–715, 2022
https://doi.org/10.5194/soil-8-699-2022
Original research article
17 Nov 2022
Original research article | 17 Nov 2022

Improving models to predict holocellulose and Klason lignin contents for peat soil organic matter with mid-infrared spectra

Henning Teickner and Klaus-Holger Knorr

Viewed

Total article views: 627 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
490 119 18 627 51 4 0
  • HTML: 490
  • PDF: 119
  • XML: 18
  • Total: 627
  • Supplement: 51
  • BibTeX: 4
  • EndNote: 0
Views and downloads (calculated since 01 Jun 2022)
Cumulative views and downloads (calculated since 01 Jun 2022)

Viewed (geographical distribution)

Total article views: 627 (including HTML, PDF, and XML) Thereof 598 with geography defined and 29 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Discussed (preprint)

Latest update: 27 Nov 2022
Download
Short summary
The chemical quality of biomass can be described with holocellulose (relatively easily decomposable by microorganisms) and Klason lignin (relatively recalcitrant) contents. Measuring both is laborious. In a recent study, models have been proposed which can predict both quicker from mid-infrared spectra. However, it has not been analyzed if these models make correct predictions for biomass in soils and how to improve them. We provide such a validation and a strategy for their improvement.