title: SNP-Based QTL Mapping of 15 Complex Traits in Barley under Rain-Fed and Well-Watered Conditions by a Mixed Modeling Approach.
abstract: This study identified single nucleotide polymorphism (SNP) markers associated with 15 complex traits in a breeding population of barley (Hordeum vulgare L.) consisting of 137 recombinant chromosome substitution lines (RCSL), evaluated under contrasting water availability conditions in the Mediterranean climatic region of central Chile. Given that markers showed a very strong segregation distortion, a quantitative trait locus/loci (QTL) mapping mixed model was used to account for the heterogeneity in genetic relatedness between genotypes. Fifty-seven QTL were detected under rain-fed conditions, which accounted for 5-22% of the phenotypic variation. In full irrigation conditions, 84 SNPs were significantly associated with the traits studied, explaining 5-35% of phenotypic variation. Most of the QTL were co-localized on chromosomes 2H and 3H. Environment-specific genomic regions were detected for 12 of the 15 traits scored. Although most QTL-trait associations were environment and trait specific, some important and stable associations were also detected. In full irrigation conditions, a relatively major genomic region was found underlying hectoliter weight (HW), on chromosome 1H, which explained between 27% (SNP 2711-234) and 35% (SNP 1923-265) of the phenotypic variation. Interestingly, the locus 1923-265 was also detected for grain yield at both environmental conditions, accounting for 9 and 18%, in the rain-fed and irrigation conditions, respectively. Analysis of QTL in this breeding population identified significant genomic regions that can be used for marker-assisted selection (MAS) of barley in areas where drought is a significant constraint.
authors.affiliation: Instituto de Ciencias Biológicas, Área de Biología Molecular y Biotecnología, Universidad de Talca Talca, Chile.
authors.forename: Freddy
authors.initials: F
authors.lastname: Mora
authors.affiliation: Centro de Mejoramiento Genético y Fenómica Vegetal, Facultad de Ciencias Agrarias, PIEI Adaptación de la Agricultura al Cambio Climático (A2C2), Universidad de Talca Talca, Chile.
authors.forename: Yerko A
authors.initials: YA
authors.lastname: Quitral
authors.affiliation: Centro Regional de Investigación Quilamapu, Instituto de Investigaciones Agropecuarias Chillán, Chile.
authors.forename: Ivan
authors.initials: I
authors.lastname: Matus
authors.affiliation: The James Hutton Institute Dundee, Scotland.
authors.forename: Joanne
authors.initials: J
authors.lastname: Russell
authors.affiliation: The James Hutton Institute Dundee, Scotland.
authors.forename: Robbie
authors.initials: R
authors.lastname: Waugh
authors.affiliation: Centro de Mejoramiento Genético y Fenómica Vegetal, Facultad de Ciencias Agrarias, PIEI Adaptación de la Agricultura al Cambio Climático (A2C2), Universidad de Talca Talca, Chile.
authors.forename: Alejandro
authors.initials: A
authors.lastname: Del Pozo
keywords: RCSL; drought; kinship; marker segregation distortion; physiological trait