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

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on soil-2022-27', Anonymous Referee #1, 03 Jul 2022
    • AC1: 'Reply on RC1', Henning Teickner, 29 Jul 2022
  • RC2: 'Comment on soil-2022-27', Stephen Chapman, 09 Jul 2022
    • AC2: 'Reply on RC2', Henning Teickner, 29 Jul 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (25 Oct 2022) by Bas van Wesemael
AR by Henning Teickner on behalf of the Authors (26 Oct 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (27 Oct 2022) by Bas van Wesemael
ED: Publish as is (28 Oct 2022) by Kristof Van Oost(Executive Editor)
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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.