4.6 Article

Quantitative trait loci for agronomic traits in an elite barley population for Mediterranean conditions

Journal

MOLECULAR BREEDING
Volume 33, Issue 2, Pages 249-265

Publisher

SPRINGER
DOI: 10.1007/s11032-013-9946-5

Keywords

Barley; Breeding; QTL; Agronomic adaptation; Vernalisation; VrnH1

Funding

  1. Spanish Ministry of Science and Innovation (MICINN)
  2. Scottish Government's Rural and Environment Science and Analytical Services Division
  3. [BES-2008-009623]
  4. [AGL2010-21929]
  5. [GEN2006-28560-E]
  6. [RTA2009-00006-C04]

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Advances in plant breeding through marker-assisted selection (MAS) are only possible when genes or quantitative trait loci (QTLs) can contribute to the improvement of elite germplasm. A population of recombinant inbred lines (RILs) was developed for one of the best crosses of the Spanish National Barley Breeding Program, between two six-row winter barley cultivars Orria and Plaisant. The objective of this study was to identify favourable QTLs for agronomic traits in this population, which may help to optimise breeding strategies for these and other elite materials for the Mediterranean region. A genetic linkage map was developed for 217 RILs, using 382 single nucleotide polymorphism markers, selected from the barley oligonucleotide pool assay BOPA1 and two genes. A subset of 112 RILs was evaluated for several agronomic traits over a period of 2 years at three locations, Lleida and Zaragoza (Spain) and Fiorenzuola d'Arda (Italy), for a total of five field trials. An important segregation distortion occurred during population development in the region surrounding the VrnH1 locus. A QTL for grain yield and length of growth cycle was also found at this locus, apparently linked to a differential response of the VrnH1 alleles to temperature. A total of 33 QTLs was detected, most of them for important breeding targets such as plant height and thousand-grain weight. QTL x environment interactions were prevalent for most of the QTLs detected, although most interactions were of a quantitative nature. Therefore, QTLs suitable for MAS for most traits were identified.

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