Evidence map›Paper›PMID 40142366›Full record

ArticleMicroorganisms2025

Influence of Cover Crop Root Functional Traits on Sweet Potato Yield and Soil Microbial Communities.

Xinyi Chen, Jie Zhang, Wangbiao Xia, Yangyang Shao, Zhirong Liu, Jian Guo, Wenjing Qin, Li Wan, Jia Liu, Ying Liu and 1 more

Abstract read
In one paragraph

Article in Microorganisms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

11 authors.

Xinyi ChenJiangxi Provincial Engineering Research Center for Seed-Breeding and Utilization of Camphor Trees, School of Soil and Water Conservation, Nanchang Institute of Technology, Nanchang 330200, China.
Jie ZhangJiangxi Provincial Engineering Research Center for Seed-Breeding and Utilization of Camphor Trees, School of Soil and Water Conservation, Nanchang Institute of Technology, Nanchang 330200, China.
Wangbiao XiaJiangxi Provincial Engineering Research Center for Seed-Breeding and Utilization of Camphor Trees, School of Soil and Water Conservation, Nanchang Institute of Technology, Nanchang 330200, China.
Yangyang ShaoJiangxi Provincial Engineering Research Center for Seed-Breeding and Utilization of Camphor Trees, School of Soil and Water Conservation, Nanchang Institute of Technology, Nanchang 330200, China.
Zhirong LiuJiangxi Provincial Engineering Research Center for Seed-Breeding and Utilization of Camphor Trees, School of Soil and Water Conservation, Nanchang Institute of Technology, Nanchang 330200, China.
Jian GuoJiangxi Provincial Engineering Research Center for Seed-Breeding and Utilization of Camphor Trees, School of Soil and Water Conservation, Nanchang Institute of Technology, Nanchang 330200, China.
Wenjing QinInstitute of Soil and Fertilizer & Resource and Environment, Jiangxi Academy of Agricultural Sciences, Nanchang 330200, China.
Li WanInstitute of Soil and Fertilizer & Resource and Environment, Jiangxi Academy of Agricultural Sciences, Nanchang 330200, China.ORCID 0009-0007-3287-211X
Jia LiuInstitute of Soil and Fertilizer & Resource and Environment, Jiangxi Academy of Agricultural Sciences, Nanchang 330200, China.
Ying LiuJiangxi Yichun Selenium Resources Development and Utilization Center, Yichun 336000, China.
Juntong ZhangHebei Institute of Product Quality Supervision and Inspection, Shijiazhuang 050227, China.

Funding

National Natural Science Foundation of China 32060333the Special Program for Basic Research and Talent Training of Jiangxi Academy of Agricultural Sciences JXSNKYJCRC202301the Special Program for Basic Research and Talent Training of Jiangxi Academy of Agricultural Sciences JXSNKYJCRC202325
6 · The paper itself

Abstract

The symbiotic relationship between cover crops and soil microorganisms is closely linked to nutrient cycling and crop growth within agroecosystems. However, how cover crops with different root functional traits influence soil microbial communities, soil properties, and crop yields has remained understudied. This study assessed the root traits of hairy vetch (HV) and rapeseed (RP), along with soil properties, sweet potato yield, and microbial enzyme activity under red soil dryland conditions. High-throughput sequencing was also employed to characterize the diversity, composition, and network structure of soil bacterial and fungal communities. According to the plant economic spectrum theory and our research results on plant root traits, HV can be identified as a resource-acquisitive cover crop, and RP treatment can be identified as a resource-conservative cover crop. Although RP treatment did not significantly increase the sweet potato yield, the increase rate reached 8.49%. Resource-conservative cover crops were associated with increased pH, SOC, and TP, which enhanced bacterial species diversity and boosted the populations of Chloroflexi and Alphaproteobacteria. In contrast, resource-acquisitive cover crops promoted the proliferation of Gammaproteobacteria. Network analysis indicated that resource-conservative cover crops facilitated network complexity through intensified intra-community competition. Resource-acquisitive cover crops enhanced the stability of microbial communities. Collectively, these findings underscore the distinct advantages of cover crops with varying root functional traits in shaping soil microbial communities. Appropriate cover crop rotations can effectively regulate microbial communities and hold the potential to enhance crop yield.

Indexed as

cover cropsmicrobial communitynetwork complexityresource-acquisitiveresource-conservativespecies richness

Identifiers

PMID40142366
PMCPMC11946476

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.