Evidence map›Paper›PMID 41470731›Full record

ArticlePlants (Basel, Switzerland)2025

Optimizing Row Ratio Configurations for Enhanced Productivity and Resource-Use Efficiency in Maize-Alfalfa Intercropping.

Zeqiang Shao, Shiqiang Hu, Chunying Fan, Ziqing Meng, Xishuai Yan, Wenzhao Ji, Zhihao Zhang, Huimin Ma, Jamal Nasar, Harun Gitari

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Zeqiang ShaoCollege of Resource and Environment Engineering, Jilin University of Chemical Technology, Jilin 132022, China.
Shiqiang HuCollege of Resource and Environment Engineering, Jilin University of Chemical Technology, Jilin 132022, China.
Chunying FanZhejiang Zhongdi Jingtu Technology Co., Ltd., Zhuji 311800, China.
Ziqing MengCollege of Resource and Environment Engineering, Jilin University of Chemical Technology, Jilin 132022, China.
Xishuai YanCollege of Resource and Environment Engineering, Jilin University of Chemical Technology, Jilin 132022, China.
Wenzhao JiCollege of Resource and Environment Engineering, Jilin University of Chemical Technology, Jilin 132022, China.
Zhihao ZhangCollege of Resource and Environment Engineering, Jilin University of Chemical Technology, Jilin 132022, China.
Huimin MaFaculty of Agronomy, Jilin Agricultural University, Changchun 130118, China.ORCID 0009-0008-6048-5448
Jamal NasarInstitute of Rice Industry Technology Research, College of Agriculture, Guizhou University, Guiyang 550025, China.ORCID 0000-0003-4559-0676
Harun GitariDepartment of Agricultural Science and Technology, School of Agriculture and Environmental Sciences, Kenyatta University, P.O. Box 43844-00100, Nairobi 00100, Kenya.ORCID 0000-0002-1996-119X

Funding

Department Education Science and Technology Research Project of Jilin Provincial JJKH20210241KJDoctoral Start-up Fund Project of Jilin University of Chemical Technology 2021024Major Science and Tech-nology Project of Jilin University of Chemical Technology 2020012National Key Research and Development Program of China 2022YFD1500101National Natural Science Foundation of China 31471945Shulan City 2023 Green Planting and Circular Agri-culture Pilot Project (Pilot Test and Ef-fect Monitoring Part) 24057
6 · The paper itself

Abstract

Maize-alfalfa intercropping is practiced in Northeast China to improve land productivity and forage production. However, competition between the two crops can reduce system performance, which calls for an emphasis on optimal row ratio. Hence, the current study evaluated the effects of diverse maize-alfalfa row ratio configurations (1:1, 2:1, 2:2, 3:1, 3:2, and 3:3) on resource-use efficiency, physiological traits, and yield performance. It was noted that the mono-cropping system had higher physiological and agronomic values for both crops. With regard to the intercropping configuration, the 2:2 steadily outperformed all other intercropping row ratios. Whereas alfalfa grew tallest in 2:2, maize plant height peaked under the 3:1. Photosynthetic rate and chlorophyll content were highest under 2:2, for both crops. The yield results indicated that alfalfa achieved maximum forage and biomass, whereas maize performed best under a 3:1 configuration. Outstandingly, under the 2:2 ratio, the cumulative system yield exceeded alfalfa mono-cropping by 55% and maize mono-cropping by 56-57%. There was superior complementarity and land-use advantage under 2:2, as indicated by the highest resource-use indicators of LER (land equivalent ratio), LEC (land equivalent coefficient), SPI (system productivity index), and K (crowding index). Competitive Indices showed that competition was more balanced under 2:2, with maize dominating in systems with higher maize proportions. Overall, the 2:2 row ratio provided the best balance of reduced competition and enhanced complementarity, offering a more efficient and sustainable maize-alfalfa intercropping strategy.

Indexed as

competitive interactioncrop yieldforage productionintercroppingresource use efficiency

Identifiers

PMID41470731
PMCPMC12736538

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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.