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      Combining manure with mineral N fertilizer maintains maize yields: Evidence from four long-term experiments in Kenya

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          The Microbial Efficiency-Matrix Stabilization (MEMS) framework integrates plant litter decomposition with soil organic matter stabilization: do labile plant inputs form stable soil organic matter?

          The decomposition and transformation of above- and below-ground plant detritus (litter) is the main process by which soil organic matter (SOM) is formed. Yet, research on litter decay and SOM formation has been largely uncoupled, failing to provide an effective nexus between these two fundamental processes for carbon (C) and nitrogen (N) cycling and storage. We present the current understanding of the importance of microbial substrate use efficiency and C and N allocation in controlling the proportion of plant-derived C and N that is incorporated into SOM, and of soil matrix interactions in controlling SOM stabilization. We synthesize this understanding into the Microbial Efficiency-Matrix Stabilization (MEMS) framework. This framework leads to the hypothesis that labile plant constituents are the dominant source of microbial products, relative to input rates, because they are utilized more efficiently by microbes. These microbial products of decomposition would thus become the main precursors of stable SOM by promoting aggregation and through strong chemical bonding to the mineral soil matrix. © 2012 Blackwell Publishing Ltd.
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            A note on a general definition of the coefficient of determination

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              Robustness of linear mixed‐effects models to violations of distributional assumptions

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                Author and article information

                Journal
                Field Crops Research
                Field Crops Research
                Elsevier BV
                03784290
                February 2023
                February 2023
                : 291
                : 108788
                Article
                10.1016/j.fcr.2022.108788
                0fb2b91f-8992-42f0-8e34-b37bf6bd5c2b
                © 2023

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by/4.0/

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