Detection of QTL Underlying Seed Quality Components in Soybean [Glycine max (L.) Merr.]

Improving seed composition and quality, including protein, oil, fatty acids, and amino acids contents is an important goal of soybean farmers and breeders. The aim of this study was to map the QTL underlying the contents of protein, oil, fatty acids, and amino acids content with 1510 single nucleotide polymorphism (SNP) markers using the ‘Hamilton’ by ‘Spencer’ recombinant inbred line (RIL) population (H × S; n = 93). A total of 13 QTL for the traits studied have been mapped on 3 chromosomes (Chr.) of the soybean genome. Three major QTL have been mapped to a 7–13 cM region on Chr 6. One major QTL for oil content (qOIL001) explained approximately 76% of the total phenotypic variation in this population; the second major QTL for amino acid Alanine (Ala;) (qALA001) explained approximately 74% of the total variation in Ala content; moreover, two major QTL for palmitic acid (qPAL001 and qPAL002) were identified on Chr. 6 and explained approximately 21% phenotypic variation in this population. The SNP markers flanking the QTL identified here will be very useful for soybean breeders to develop and select soybean lines with higher seed composition qualities, using marker-assisted selection. Keywords: Soybean – SNP Linkage Map – QTL – RIL – Protein – Oil – fatty acids – Hamilton – Spencer .

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