Detecting the QTL-Allele System of Seed Oil Traits Using Multi-Locus Genome-Wide Association Analysis for Population Characterization and Optimal Cross Prediction in Soybean

Detecting the QTL-Allele System of Seed Oil Traits Using Multi-Locus Genome-Wide Association Analysis for Population Characterization and Optimal Cross Prediction in Soybean

Soybean is one of the world's major vegetative oil sources, while oleic acid and linolenic acid content are the major quality traits of soybean oil. The restricted two-stage multi-locus genome-wide association analysis (RTM-GWAS), characterized with error and false-positive control, has provide...

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Bibliographic Details
Main Authors: Yinghu Zhang, Jianbo He, Hongwei Wang, Shan Meng, Guangnan Xing, Yan Li, Shouping Yang, Jinming Zhao, Tuanjie Zhao, Junyi Gai
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-12-01
Series:Frontiers in Plant Science
Subjects:
soybean
seed oil content
oleic acid content
linolenic acid content
restricted two-stage multi-locus genome-wide association study (RTM-GWAS)
SNP linkage disequilibrium block (SNPLDB)
Online Access:https://www.frontiersin.org/article/10.3389/fpls.2018.01793/full

Internet

https://www.frontiersin.org/article/10.3389/fpls.2018.01793/full

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