Evidence map›Paper›PMID 40364312›Full record

ArticlePlants (Basel, Switzerland)2025

Meta-Analysis of Mixed Sowing Effects on Forage Yield and Water Use Efficiency in China: Influencing Factors and Optimal Conditions.

Weiqiang Guo, Yuanbo Jiang, Minhua Yin, Yi Ling, Yanxia Kang, Guangping Qi, Yaya Duan, Yanlin Ma, Yushuo Liu, Gen Ling and 1 more

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 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.

Weiqiang GuoCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China.
Yuanbo JiangCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China.
Minhua YinCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China.ORCID 0000-0002-3744-8146
Yi LingCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China.
Yanxia KangCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China.
Guangping QiCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China.
Yaya DuanCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China.
Yanlin MaCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China.
Yushuo LiuCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China.
Gen LingCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China.
Kaili PanCollege of Water Conservancy and Hydrpower Engineering, Gansu Agricultural University, Lanzhou 730070, China.

Funding

Gansu Agricultural University "Innovation of Efficient Utilization of Soil and Water Resources for Specialty Crops in Northwest Arid Regions" Discipline Team Building Special Project GAU-XKTD-2022-09Gansu Agricultural University, the fifth batch of "Fuxi Young Talents" project Gaufx-05Y11Gansu Agricultural University, Youth Tutor Support Fund GAU-QDFC-2023-12Gansu Provincial Science and Technology Key R&D Program 22YF7NA110National Natural Science Regional Foundation of China 52069001 and 52269009
6 · The paper itself

Abstract

Mixed sowing of forage grass can reduce soil erosion, improving forage nutritional composition, enhancing grassland productivity, and increasing community stability. It addresses issues faced by sown pasture, including a lack of diversity in planting patterns, low resource utilization efficiency, and poor sustainability. However, the effects of mixed sowing on forage yield and water use efficiency (WUE) vary depending on regional environmental conditions, management practices, and temporal factors. Based on publicly available field experiment data, this study utilized meta-analysis to quantitatively examine the effects of mixed sowing on forage yield and WUE in China. Additionally, a random forest model was employed to analyze the main influencing factors. The results showed that, compared with monoculture, mixed sowing significantly improved forage yield and WUE, with average increases of 58.3% (confidence interval: 44.3-72.3%) and 32.0% (confidence interval: 19.2-44.8%), respectively. Regarding yield, the effect of mixed sowing was the most pronounced in Shaanxi. Optimal conditions included experiments conducted during 2006-2008, annual precipitation of 200-600 mm, soil pH of 4-5, average annual temperature of 10-15 °C, altitudes below 2000 m, alfalfa (

Indexed as

foragemeta-analysismixed sowingwater use efficiencyyield

Identifiers

PMID40364312
PMCPMC12073378

What OpenQuestion holds

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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.