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Euphytica

, Volume 209, Issue 3, pp 665–677 | Cite as

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

  • Christopher K. Addison
  • R. Esten MasonEmail author
  • Gina Brown-Guedira
  • Mohammed Guedira
  • Yuanfeng Hao
  • Randall G. Miller
  • Nithya Subramanian
  • Dennis N. Lozada
  • Andrea Acuna
  • Maria N. Arguello
  • Jerry W. Johnson
  • Amir M. H. Ibrahim
  • Russell Sutton
  • Stephen A. Harrison
Article

Abstract

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.

Keywords

Genotype by environmental interaction QTL mapping Quantitative trait locus Yield 

Abbreviations

BLUP

Best linear unbiased predictor

DH

Days to heading

GY

Grain yield

PH

Plant height

QTL

Quantitative trait locus

RIL

Recombinant inbred line

TW

Test weight

Notes

Acknowledgments

This research was funded by the Arkansas Wheat Promotion Board and Agriculture and Food Research Initiative Competitive Grant #2012-67013-19436 of the USDA National Institute of Food and Agriculture to R. Esten Mason. Funding for development of SNP genotyping platforms and gene marker development was provided by the USDA-NIFA Grant No. 2011-68002-30029, “Triticeae Coordinated Agricultural Project”.

Supplementary material

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Supplementary material 1 (PDF 90 kb)
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Supplementary material 2 (PDF 98 kb)
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Supplementary material 3 (PDF 101 kb)
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Supplementary material 4 (PDF 471 kb)

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Copyright information

© Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  • Christopher K. Addison
    • 1
  • R. Esten Mason
    • 1
    Email author
  • Gina Brown-Guedira
    • 2
  • Mohammed Guedira
    • 2
  • Yuanfeng Hao
    • 3
  • Randall G. Miller
    • 1
  • Nithya Subramanian
    • 4
  • Dennis N. Lozada
    • 1
  • Andrea Acuna
    • 1
  • Maria N. Arguello
    • 1
  • Jerry W. Johnson
    • 2
  • Amir M. H. Ibrahim
    • 4
  • Russell Sutton
    • 5
  • Stephen A. Harrison
    • 6
  1. 1.Department of Crop, Soil and Environmental SciencesUniversity of ArkansasFayettevilleUSA
  2. 2.Department of Crop ScienceNorth Carolina State UniversityRaleighUSA
  3. 3.Department of Crop and Soil SciencesUniversity of GeorgiaGriffinUSA
  4. 4.Department of Soil and Crop SciencesTexas A&MCollege StationUSA
  5. 5.Texas A&M AgriLife Research CenterTexas A&M-CommerceCommerceUSA
  6. 6.School of Plant, Environmental and Soil SciencesLouisiana State UniversityBaton RougeUSA

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