PJB-2018-266
MAPPING QTLS FOR PROTEIN AND OIL CONTENT BASED ON EPISTATIC AND GENOTYPE ¡Á ENVIRONMENT INTERACTION EFFECTS IN SOYBEAN
HAILONG NING
Abstract
Soybean (Glycine max [L.] Merrill) is a major oilseed crop and a principal source of protein and edible oil worldwide. Protein and oil content in soybean are complex traits controlled by multiple genes. To determine the genetic factors controlling these traits, we performed quantitative trait locus (QTL) mapping based on epistatic effects and additive ¡Á environment interaction effects using two recombinant inbred line (RIL) populations grown in three different environments. In total, we detected eight main-effects QTLs located on six linkage groups (LGs). Among these, four QTLs were associated with protein content and four were related to oil content. In addition, we detected four epistatic-effect QTLs, including one pair for protein content and the other for oil content. Additive major-effect QTLs contributed more phenotypic variation than the epistasis¡Á environment interaction for all QTLs. The extent of variation explained by QTLs was greater for epistatic effects than for additive ¡Á environment interaction effects for both traits. These results suggest that marker-assisted selection could be an efficient tool for improving protein and oil concentration in soybean.
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