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Integrating GWAS, QTL Mapping, and RNA-seq to Identify Candidate Genes for Kernel Weight and Oil Traits in Maize (Zea mays ssp. mays).

Journal of agricultural and food chemistry - 8 Apr 2026

Zhang Lijun, Song Yuhan, Chen Meiyan, Hu Chunyu, Wang Wanru, Zhou Xunbo, Hao Xiaoqin, Zhang Xingtan, Yang Xiping

Abstract excerpt

The evaluation of the kernel oil content and fatty acid composition in maize is crucial for understanding maize nutrition. This study utilized an association population of 278 inbred lines and a F2 population of 229 individuals to identify candidate genes for 8 kernel weight and oil traits. By employing two genome-wide association study (GWAS) models, the K model and Q+K model, key SNP loci and candidate genes...

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PMID: 41873878
DOI: 10.1021/acs.jafc.5c13129

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F2

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

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