Identification of quantitative trait loci for agronomic traits contributed by a barley (Hordeum vulgare) Mediterranean landrace
Ridha Boudiar A B , Ana M. Casas A C , Carlos P. Cantalapiedra A , M. Pilar Gracia A and Ernesto Igartua A
+ Author Affiliations
- Author Affiliations
A Estación Experimental de Aula Dei, EEAD-CSIC, Avenida Montañana, 1005, 50059 Zaragoza, Spain.
B Current address: Agronomy Department, Ferhat Abbas University, Setif, Algeria.
C Corresponding author. Email: acasas@eead.csic.es
Crop and Pasture Science 67(1) 37-46 https://doi.org/10.1071/CP15149
Submitted: 15 May 2015 Accepted: 25 August 2015 Published: 14 January 2016
Abstract
Some Spanish barley (Hordeum vulgare L.) landraces perform better than modern cultivars at low-production sites. The objective of this study was to identify favourable quantitative trait loci (QTLs) for interesting agronomic traits contributed by the landrace SBCC073. To achieve this objective, a population of 100 BC1F5 lines was derived from the cross between the elite cultivar Orria, with high productivity, and the Spanish landrace SBCC073, which was the best performer in low-production trials. The population was evaluated in field trials for 3 years (2011, 2013, and 2014) in Zaragoza, Spain. The population was genotyped with a DArTseq genotyping-by-sequencing assay. A genetic linkage map was developed by using markers of four flowering-time genes and 1227 single-nucleotide polymorphisms of good quality. The genetic map resulted in 11 linkage groups, covering a total distance of 871.1 cM. Five QTLs for grain yield were detected on 2H.1, 4H, 5H and 6H.2. Alleles from SBCC073 contributed to increased yield in three of them. A region at the end of chromosome 5H contains favourable alleles for early vigour, higher grain yield and earlier flowering, all derived from SBCC073. Alleles from Orria contributed to increasing grain yield and simultaneously to reducing plant height on the same region of 6H.2, and to increasing 1000-kernel weight on chromosomes 3H and 5H.
Additional keywords: adaptation, breeding, drought, genetic resource, introgression, SNPs.
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