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Quantitative trait locus analysis for soybean ( Glycine max ) seed protein and oil concentrations using selected breeding populations
Author(s) -
Seo JeongHyun,
Kim KiSeung,
Ko JongMin,
Choi ManSoo,
Kang BeomKyu,
Kwon SoonWook,
Jun TaeHwan
Publication year - 2019
Publication title -
plant breeding
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.583
H-Index - 71
eISSN - 1439-0523
pISSN - 0179-9541
DOI - 10.1111/pbr.12659
Subject(s) - quantitative trait locus , biology , population , single nucleotide polymorphism , cultivar , family based qtl mapping , genetics , agronomy , genotype , gene , gene mapping , demography , sociology , chromosome
Soybean seed protein and oil concentrations are important traits that directly affect the quality of soyfoods. Many studies and breeding programmes have been conducted to find major quantitative trait loci ( QTL ) that regulate protein and oil concentrations and to develop soybean cultivars with high protein and/or oil content. The purpose of this study was to identify these QTL using a selected breeding population. The population was tested in field conditions over a period of 3 years. Seed protein and oil concentrations were measured each year. Single‐nucleotide polymorphisms ( SNP s) were used to construct genetic map using a 180K Soya SNP array, which identified 1,570 SNP s. We identified 12 QTL for seed protein, 11 for seed oil concentration and four for both traits. Among these, 17 QTL were closely mapped to previously reported QTL , whereas ten sites were novel. Several QTL were detected across at least two experimental years. These loci are good candidate QTL for optimal seed protein and oil concentrations. Our results demonstrate that favourable target QTL can be successfully identified using selected breeding populations.