Evidence map›Paper›PMID 42069663›Full record

ArticleEnvironmental microbiome2026

Legacy effects of cover cropping and crop phase on soybean health and associated rhizosphere microbiome in corn-soybean rotation.

Chuntao Yin, Shannon L Osborne, R Michael Lehman

Abstract read
In one paragraph

Article in Environmental microbiome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Chuntao YinNorth Central Agricultural Research Laboratory, USDA-ARS, Brookings, SD, USA. chuntao.yin@usda.gov.
Shannon L OsborneNorth Central Agricultural Research Laboratory, USDA-ARS, Brookings, SD, USA.
R Michael LehmanNorth Central Agricultural Research Laboratory, USDA-ARS, Brookings, SD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCrop diversification through crop rotation or cover cropping is widely recognized as an important strategy to improve agroecosystem sustainability, enhance soil health, and suppress soilborne diseases. Rotating crops or introducing cover crops can disrupt pathogen life cycles, improve nutrient cycling, and promote beneficial microbes. However, the outcomes of diversification practices are often complex, influenced by soil type, crops, and pathogen pressures. Evaluating how cover crops and crop phase affect crop soilborne diseases and root-associated microbiome is critical for designing resilient cropping systems.

resultsThis study evaluated the legacy effects of cover crops and crop phase on soybean root diseases and root-associated microbiome. Soybean plants were grown in soils collected from a corn-soybean rotation field experiment with and without cover crops, and then challenged with either Fusarium graminearum inoculum or soybean cyst nematode (SCN) in the growth chamber. Soils with a cover crop history significantly reduced F. graminearum-induced root rot, but had a limited impact on SCN, indicating divergent disease responses. Microbial profiling revealed that F. graminearum inoculum strongly reshaped bacterial communities, reducing Shannon diversity and enriching fast-growing copiotrophic taxa, including Bacteroidota genera (Pedobacter, Chitinophaga, Flavobacterium, and Mucilaginibacter) and Proteobacteria genera (Dyella, Pseudomonas, Rhizobium, and Paraburkholderia) regardless of cover crops. In contrast, SCN infection increased bacterial Shannon diversity in soybean-phase soils regardless of cover crops but decreased fungal Shannon diversity in soybean soils without cover crops, highlighting pathogen-specific microbial shifts. Cover cropping enhanced microbial heterogeneity under both pathogen pressures, enriching microbial taxa potentially involved in nutrient cycling (Chitinophaga and Mucilaginibacter), antagonism (Flavobacterium, Streptomyces, Pseudonocardia, and Nocardioides), and competitive interactions (Paraburkholderia). Correlation analyses further linked specific bacterial and fungal genera with disease suppression.

conclusionsSoilborne pathogens and cropping practices exerted interconnected, pathogen- and crop-specific effects on root microbial communities. Cover cropping offers a promising strategy to enhance microbial-mediated disease resilience in soybean systems, providing ecological insights into microbiome-driven plant health.

Indexed as

Cover croppingCrop phaseRhizosphere microbiomeSoilborne diseaseSuppression

Identifiers

PMID42069663
PMCPMC13285196

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.