Evidence map›Paper›PMID 42306418›Full record

ArticleFrontiers in plant science2026

The contribution rate of stem-leaf and root of alfalfa (

Chong Yao, Yan Zhuan, Yonghua Liu, Yixin Wang, Gaohan Xu, Siyuan Chen, Ming Zhu, Faqi Wu

Abstract read
In one paragraph

Article in Frontiers in plant science, 2026. 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

8 authors.

Chong YaoSchool of Geographic Sciences, Xinyang Normal University, Xinyang, Henan, China.
Yan ZhuanCollege of Tea and Food Science, Xinyang Normal University, Xinyang, Henan, China.
Yonghua LiuSchool of Teacher Education, Xinyang Normal University, Xinyang, Henan, China.
Yixin WangSchool of Geographic Sciences, Xinyang Normal University, Xinyang, Henan, China.
Gaohan XuSchool of Geographic Sciences, Xinyang Normal University, Xinyang, Henan, China.
Siyuan ChenSchool of Geographic Sciences, Xinyang Normal University, Xinyang, Henan, China.
Ming ZhuSchool of Geographic Sciences, Xinyang Normal University, Xinyang, Henan, China.
Faqi WuCollage of Soil and Water Conservation Science and Engineering, Northwest A&F University, Xianyang, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Herbaceous plants regulate the generation of runoff and sediment and the anti-erosion ability of soil by altering vegetation coverage and root systems, thereby influencing soil erosion. However, the variation in soil erosion reduction benefits and the contributions of stem-leaf and roots under diverse vegetation spatial distribution patterns on the Loess Plateau have not yet been understood. Methods: In the current study, alfalfa spatial distribution patterns with vegetation coverage of 50% (T1 treatment; LS, downstream of hillslopes; MS, middle of hillslopes; US, upper of hillslopes; and SS, equidistant planting), four alfalfa spatial distribution patterns without above-ground biomass (T2 treatment), and bare soil (CK) were designed. Rainfall simulations with slope gradients of 8.75%, 17.63%, 26.80%, and 36.40% and a rainfall intensity of 90 mm h Results: The results showed that the RT for the T1 and T2 treatments was delayed by 1.47 to 2.51 and 0.75 to 1.65 min, respectively, compared with CK. The mean runoff rate for the T1 and T2 treatments ranged from 0.18 to 1.15 and from 0.61 to 1.16 L m Conclusion: The research results provide references for vegetation protection and management in areas with severe soil erosion and enrich the understanding of soil erosion mechanisms.

Indexed as

alfalfarainfall simulationsoil erosionspatial distribution patternvegetation component

Identifiers

PMID42306418
PMCPMC13265507

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.