4.5 Article

QTL and major genes influencing grain yield potential in soft red winter wheat adapted to the southern United States

Journal

EUPHYTICA
Volume 209, Issue 3, Pages 665-677

Publisher

SPRINGER
DOI: 10.1007/s10681-016-1650-1

Keywords

Genotype by environmental interaction; QTL mapping; Quantitative trait locus; Yield

Funding

  1. Arkansas Wheat Promotion Board
  2. Agriculture and Food Research Initiative Competitive Grant of the USDA National Institute of Food and Agriculture [2012-67013-19436]
  3. USDA-NIFA [2011-68002-30029]
  4. NIFA [578712, 2012-67013-19436] Funding Source: Federal RePORTER

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The aim of this study was to identify quantitative trait locus (QTL) associated with grain yield (GY) in a recombinant inbred line (RIL) population from a cross between two elite soft red winter wheat (SRWW) cultivars ('Pioneer 26R61' and 'AGS2000'). The RIL population was grown from 2011 to 2014 in 12 site-year combinations throughout the southeastern US. Overall, AGS2000 was the higher yielding parental line, out-performing 26R61 in seven of the 12 environments. Mean GY for the RILs ranged from 3.39 to 7.16 t ha(-1) with significant genotype, environment and genotype by environmental interaction effects. Nine stable QTL were detected for yield, explaining up to 53 % of the phenotypic variation when fit into a multiple-QTL model. The QTL with the largest effect was detected at the Vrn-B1 locus with the short vernalization winter allele from AGS2000 favorable for yield. In addition, vrn-B1 acted additively with a region on chromosome 2B near the Ppd-B1 locus, indicating that a shorter vernalization requirement combined with the Ppd-B1b allele for photoperiod sensitivity may play a key role in adaptation of SRWW to the southern US. Single nucleotide polymorphism markers linked to additional QTL on chromosomes 3A and 3B were in agreement with a previous genome-wide association study in spring wheat, confirming the importance of these regions for yield across environments and germplasm pools. Overall the stable QTL were more predictive of GY compared to individual site-year QTL, indicating that a targeted QTL approach can be utilized by breeding programs to enrich for favorable loci.

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