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Relating Profile Wall Root-Length Density Estimates to Monolith Root-Length Density Measurements of Cover Crops

  • Different methods have been proposed for in situ root-length density (RLD) measurement. One widely employed is the time-consuming sampling of soil cores or monoliths (MO). The profile wall (PW) method is a less precise, but faster and less laborious alternative. However, depth-differentiated functions to convert PW RLD estimates to MO RLD measurements have not yet been reported. In this study, we perform a regression analysis to relate PW results to MO results and determine whether calibration is possible for distinct crop groups (grasses, brassicas and legumes) consisting of pure and mixed stands, and whether soil depth affects this calibration. The methods were applied over two years to all crop groups and their absolute and cumulative RLD were compared using a linear (LR) and multiple linear (MLR) regression. PW RLD was found to highly underestimate MO RLD in absolute values and in highly rooted areas. However, a close agreement between both methods was found for cumulative root-length (RL) when applying MLR, highlighting the influence of soil depth. The level of agreement between methods varied strongly with depth. Therefore, the application of PW as the main RLD estimation method can provide reliable estimates of cumulative root distribution traits of cover crops.
Metadaten
Author:Tábata Aline Bublitz, Roman Kemper, Phillip Müller, Timo Kautz, Thomas F. Döring, Miriam Athmann
URN:urn:nbn:de:hbz:832-epub4-18950
DOI:https://doi.org/10.3390/agronomy12010048
ISSN:2073-4395
Parent Title (English):Agronomy
Publisher:MDPI
Document Type:Article
Language:English
Date of first Publication:2021/12/27
Date of Publication (online):2022/04/06
GND-Keyword:Regressionsanalyse; Zwischenfruchtbau
Tag:calibration; catch crops; cumulative root-length; regression analysis; root distribution
Volume:12
Issue:1
Page Number:13
Institutes:Anlagen, Energie- und Maschinensysteme (F09) / Fakultät 09 / Institut für Bau- und Landmaschinentechnik
Dewey Decimal Classification:500 Naturwissenschaften und Mathematik
Open Access:Open Access
DeepGreen:DeepGreen
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International