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Large-scale evaluation of soybean germplasm reveals geographic patterns in shade tolerance and identifies elite genotypes for intercropping systems.

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第一作者： Fengyi,Zhang

第一单位： Soybean Research Institute of Heilongjiang Academy of Agriculture Sciences, Harbin, 150086, China.

作者： Fengyi,Zhang ^[1] ; Huilong,Hong ^[2] ; Xiulin,Liu ^[1] ; Xueyang,Wang ^[1] ; Chunlei,Zhang ^[1] ; Kezhen,Zhao ^[1] ; Rongqiang,Yuan ^[1] ; Ahmed M,Abdelghany ^[3] ; Bixian,Zhang ^[4] ; Sobhi F,Lamlom ^[5] ; Honglei,Ren ^[6]

作者单位： Soybean Research Institute of Heilongjiang Academy of Agriculture Sciences, Harbin, 150086, China. ^[1] National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. ^[2] Crop Science Department, Faculty of Agriculture, Damanhour University, Damanhour, 22516, Egypt. ^[3] Institute of Biotechnology of Heilongjiang Academy of Agricultural Sciences, Harbin, 150023, China. ^[4] Soybean Research Institute of Heilongjiang Academy of Agriculture Sciences, Harbin, 150086, China.;Plant Production Department, Faculty of Agriculture Saba Basha, Alexandria University, Alexandria, 21531, Egypt. ^[5] Soybean Research Institute of Heilongjiang Academy of Agriculture Sciences, Harbin, 150086, China. renhonglei2022@163.com. ^[6]

关键词 Intercropping Machine learning Shade tolerance Soybean Tolerance index

医学主题词基因型(Genotype);中国(China);农作物(Crops, Agricultural)

DOI 10.1186/s12870-025-07121-5

PMID 40826011

发布时间 2025-09-14

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