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This article in CS

  1. Vol. 36 No. 4, p. 1053-1062
    Received: Sept 15, 1995

    * Corresponding author(s): mather@agradm.lan.mcgill.ca


Regions of the Genome that Affect Agronomic Performance in Two-Row Barley

  1. N. A. Tinker,
  2. D. E. Mather ,
  3. B. G. Rossnagel,
  4. K. J. Kasha,
  5. A. Kleinhofs,
  6. P. M. Hayes,
  7. D. E. Falk,
  8. T. Ferguson,
  9. L. P. Shugar,
  10. W. G. Legge,
  11. R. B. Irvine,
  12. T. M. Choo,
  13. K. G. Briggs,
  14. S. E Ullrich,
  15. J. D. Franckowiak,
  16. T. K. Blake,
  17. R. J. Graf,
  18. S. M. Dofing,
  19. M. A. Saghai Maroof,
  20. G. J. Scoles,
  21. D. Hoffman,
  22. L. S. Dahleen,
  23. A. Kilian,
  24. F. Chen,
  25. R. M. Biyashev,
  26. D. A. Kudrna and
  27. B. J. Steffenson
  1. Dep. of Plant Science, McGill Univ., 21111 Lakeshore, Ste-Anne-de-Bellevue, QC H9X 3V9, Canada
    Crop Development Centre
    Dep. of Crop Science and Plant Ecology, Univ. of Sask., Saskatoon, SK S7N 5A8
    Crop Science Dep., Univ. of Guelph, ON N1G 2W1
    Dep. of Crop and Soil Science, Washington State Univ., Pullman, WA 99164
    Dep. of Crop and Soil Science, Oregon State Univ., Corvallis, OR 97331
    Alberta Wheat Pool, Calgary AB T2P 2P5
    W.G. Thompson & Sons Ltd., Blenheim, ON N0P 1A0
    Agric. and Agri-Food Canada, Brandon, MB R7A 5Y3
    SIDC, Outlook, SK S0L 2N0
    Agric. and Agri-Food Canada, Ottawa, ON K1A 0C6
    Dep. of Agriculture, Food, and Nutritional Science, Univ. of Alberta, Edmonton, AB T6G 2P5
    Dep. of Crop and Weed Science
    Dep. of Plant Pathology, North Dakota State Univ., Fargo, ND 58105
    Dep. of Plant and Soil Science, Montana State Univ., Bozeman, MT 59715
    SWP, Saskatoon SK S7N 3R2
    Univ. of Alaska, Palmer, AK 99645
    Dep. of Crop and Soil Science, VPI and State Univ., Blacksburg VA 24061
    USDA-ARS, Aberdeen, ID 83210
    USDA-ARS, Fargo, ND 58105



Quantitative trait locus (QTL) main effects and QTL by environment (QTL × E) interactions for seven agronomic traits (grain yield, days to heading, days to maturity, plant height, lodging severity, kernel weight, and test weight) were investigated in a two-row barley (Hordeum vulgare L.) cross, Harrington/TR306. A 127-point base map was constructed from markers (mostly RFLP) scored in 146 random double-haploid (DH) lines from the Harrington/TR306 cross. Field experiments involving the two parents and 145 random DH lines were grown in 1992 and/or 1993 at 17 locations in North America. Analysis of QTL was based on simple and composite interval mapping. Primary QTL were declared at positions where both methods gave evidence for QTL. The number of primary QTL ranged from three to six per trait, collectively explaining 34 to 52% of the genetic variance. None of these primary QTL showed major effects, but many showed effects that were consistent across environments. The addition of secondary QTL gave models that explained 39 to 80% of the genetic variance. The QTL were dispersed throughout the barley genome and some were detected in regions where QTL have been found in previous studies. Eight chromosome regions contained pleiotropic loci and/or linked clusters of loci that affected multiple traits. One region on chromosome 7 affected all traits except days to heading. This study was an intensive effort to evaluate QTL in a narrow-base population grown in a large set of environments. The results reveal the types and distributions of QTL effects manipulated by plant breeders and provide opportunities for future testing of marker-assisted selection.

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