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Theoretical and Applied Genetics

, Volume 115, Issue 8, pp 1029–1041 | Cite as

Genetic dissection of grain yield in bread wheat. I. QTL analysis

  • H. Kuchel
  • K. J. Williams
  • P. Langridge
  • H. A. Eagles
  • S. P. Jefferies
Original Paper

Abstract

Grain yield forms one of the key economic drivers behind a successful wheat (Triticum aestivum L.) cropping enterprise and is consequently a major target for wheat breeding programmes. However, due to its complex nature, little is known regarding the genetic control of grain yield. A doubled-haploid population, comprising 182 individuals, produced from a cross between two cultivars ‘Trident’ and ‘Molineux’, was used to construct a linkage map based largely on microsatellite molecular makers. ‘Trident’ represents a lineage of wheat varieties from southern Australia that has achieved consistently high relative grain yield across a range of environments. In comparison, ‘Molineux’ would be rated as a variety with low to moderate grain yield. The doubled-haploid population was grown from 2002 to 2005 in replicated field experiments at a range of environments across the southern Australian wheat belt. In total, grain yield data were recorded for the population at 18 site-year combinations. Grain yield components were also measured at three of these environments. Many loci previously found to be involved in the control of plant height, rust resistance and ear-emergence were found to influence grain yield and grain yield components in this population. An additional nine QTL, apparently unrelated to these traits, were also associated with grain yield. A QTL associated with grain yield on chromosome 1B, with no significant relationship with plant height, ear-emergence or rust resistance, was detected (LOD ≥2) at eight of the 18 environments. The mean yield, across 18 environments, of individuals carrying the ‘Molineux’ allele at the 1B locus was 4.8% higher than the mean grain yield of those lines carrying the ‘Trident’ allele at this locus. Another QTL identified on chromosome 4D was also associated with overall gain yield at six of the 18 environments. Of the nine grain yield QTL not shown to be associated with plant height, phenology or rust resistance, two were located near QTL associated with grain yield components. A third QTL, associated with grain yield components at each of the environments used for testing, was located on chromosome 7D. However, this QTL was not associated with grain yield at any of the environments. The implications of these findings on marker-assisted selection for grain yield are discussed.

Keywords

Bread wheat Grain size Grain yield Grain yield components Quantitative trait locus Triticum aestivum 

Abbreviations

DH

Doubled-haploid

G.M−2

Grains per square metre

G.H−1

Grains per head

H.P−1

Heads per plant

MAS

Marker assisted selection

MET

Multiple environment trial

QTL

Quantitative trait locus

TGW

Thousand grain weight

T/M

Trident/molineux

Notes

Acknowledgements

The authors would like to thank the staff at AGT for their assistance collecting phenotypic data and the staff at the SARDI molecular genetic laboratory for the production of the genetic linkage map used in this study. We would also like to thank Mr. P. Eckermann for his help calculating predicted QTL genotypes, and a reviewer of an earlier version of this paper for their helpful suggestions. Our appreciation is extended to the Molecular Plant Breeding Cooperative Research Centre and the Grains Research and Development Corporation for their financial assistance.

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Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  • H. Kuchel
    • 1
    • 2
    • 3
  • K. J. Williams
    • 3
    • 4
  • P. Langridge
    • 2
    • 5
  • H. A. Eagles
    • 2
    • 3
  • S. P. Jefferies
    • 1
    • 2
    • 3
  1. 1.Australian Grain Technologies Pty LtdUniversity of AdelaideRoseworthyAustralia
  2. 2.School of Agriculture, Food and WineUniversity of AdelaideGlen OsmondAustralia
  3. 3.Molecular Plant Breeding Cooperative Research CentreUniversity of AdelaideGlen OsmondAustralia
  4. 4.South Australian Research and Development InstituteGlen OsmondAustralia
  5. 5.Australian Centre for Plant Functional GenomicsGlen OsmondAustralia

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