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Integrative machine learning approach for identifying genes associated with quantitative traits: A soybean (Glycine max) yield case study.

The plant genome - 1 Mar 2026

Zhou Wei, Ouyang Haoyong, Yan Zhengxiao, Song Jiayi, Li Yichan, Tang Zhou, Zhao Chang

Abstract excerpt

To improve the identification of minor-effect molecular markers and genes associated with quantitative traits, addressing inefficiencies in traditional molecular marker mining and the limited impact of these markers in practical breeding, we analyzed over 15,000 soybean (Glycine max) genotypes across nine maturity groups using an AI-driven genomic approach, uncovering 2513 key genetic markers and 393 genes...

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Identifiers

PMID: 41578913
DOI: 10.1002/tpg2.70178
PMCID: PMC12834258

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

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