Evidence map›Paper›PMID 41291410›Full record

ArticleBMC plant biology2025

Regulatory effects of row spacing on plant-soil feedbacks in an oat-forage pea intercropping system: a two-year, dual-location study.

Changying Guo, Xiaojian Pu, Yuanyuan Zhao, Yunjie Fu, Xiaoli Wei, Chengti Xu

Abstract read
In one paragraph

Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Changying GuoAcademy of Animal Science and Veterinary Medicine, Qinghai University, 810016, Xining, China.
Xiaojian PuAcademy of Animal Science and Veterinary Medicine, Qinghai University, 810016, Xining, China.
Yuanyuan ZhaoAcademy of Animal Science and Veterinary Medicine, Qinghai University, 810016, Xining, China.
Yunjie FuQinghai Bensheng Grass Industry Co., Ltd., Delingha, 817000, China.
Xiaoli WeiAcademy of Animal Science and Veterinary Medicine, Qinghai University, 810016, Xining, China.
Chengti XuAcademy of Animal Science and Veterinary Medicine, Qinghai University, 810016, Xining, China. xchti@163.com.

Funding

Major Science and Technology Special Projects in Qinghai Province 2023-NK-A3
6 · The paper itself

Abstract

This study aimed to clarify the effects of row spacing on forage yield, quality, and soil function in an oat-forage pea intercropping system in the high-altitude Qinghai-Tibet region. A two-year, multi-site field experiment was conducted in Hainan and Haixi Prefectures, in which DTOPSIS and structural equation modeling (SEM) were integrated to evaluate multiple objectives. The results indicated that the optimal row spacing differed between sites. In Hainan, a row spacing of 30 cm maximized forage yield (11,507.94 kg·ha− 1), representing a 12% increase compared with 25 cm spacing, although the soil quality index (SQI) declined by 9.67%. In Haixi, a 25 cm spacing enhanced forage yield (6,905.98 kg·ha− 1) and maintained a higher SQI than wider spacings. SEM analysis identified site-specific pathways linking row spacing, forage productivity, and soil function, and emphasized the presence of negative feedback mechanisms in nutrient-limited or arid environments. The findings suggest that optimal row spacing is region-specific, balancing trade-offs among yield, forage quality, and soil sustainability, and providing mechanistic insights for precision spatial management of alpine intercropping systems.

Indexed as

AgricultureAvenaPisum sativumSoilChinaSoilEnzyme activity profilesForage nutritive valueRow spacing configurationSoil physicochemical properties

Identifiers

PMID41291410
PMCPMC12751768

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.