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Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE

Identification of quantitative trait loci underlying fatty acid content of soybean (Glycine max), including main, epistatic and QTL × environment effects across multiple environments

Ning Xia A , Depeng Wu A , Xia Li A , Weili Teng A , Xue Zhao A , Haiyan Li A and Yingpeng Han A B
+ Author Affiliations
- Author Affiliations

A Key Laboratory of Soybean Biology in Chinese Ministry of Education (Northeastern Key Laboratory of Soybean Biology and Genetics & Breeding in Chinese Ministry of Agriculture), Northeast Agricultural University, Harbin, China, 150030.

B Corresponding author. Email: hyp234286@aliyun.com

Crop and Pasture Science 68(9) 842-849 https://doi.org/10.1071/CP17241
Submitted: 10 July 2017  Accepted: 22 October 2017   Published: 15 November 2017

Abstract

The uses and nutritional value of soybean (Glycine max (L.) Merrill) oil are largely influenced by the levels and relative proportions in the seed of the five major fatty acids: oleic (OA), palmitic (PA), stearic (SA), linoleic (LLA), linolenic (LNA). The present study was undertaken to identify quantitative trait loci (QTLs) that are associated with fatty acid content (particularly OA) and to determine the effects of epistasis and the environment. The mapping population included 134 recombinant inbred lines (RILs) derived from soybean varieties Suinong10 and L-9. Phenotypic data of the two parents and their RILs were obtained at Harbin in 2013, 2014 and 2015. Nineteen QTLs associated with individual fatty acid content (six for OA, four for LNA, three for PA, two for SA, four for LLA) were identified. Twelve of these QTLs (four for OA, three for LNA, two for PA, one for SA, two for LLA) were detected with an additive main effect and/or additive × environment interaction effect in certain environments. Epistatic QTLs were identified for contents of OA (two QTLs), LNA (one QTL) and LLA (one QTL) in different environments, and which exhibited significant epistatic effects. Our observation of these additive and epistatic QTLs suggested that soybean possesses a complex network for fatty acid accumulation, which is valuable for marker-assisted selection.

Additional keywords: additive effect, marker-assisted breeding, marker-assisted selection.


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