4.5 Article

Subgenome contributions to quantitative genetic variation in bread wheat and durum wheat populations

Journal

CROP SCIENCE
Volume 61, Issue 2, Pages 1002-1012

Publisher

WILEY
DOI: 10.1002/csc2.20372

Keywords

-

Categories

Funding

  1. Institute for Advanced Studies in Bologna

Ask authors/readers for more resources

This study assessed the contributions of different subgenomes in bread wheat and durum wheat populations to trait variation, revealing significant differences in subgenome contributions for several but not all traits.
Bread wheat (Triticum aestivum L.) has the A, B, and D genomes, whereas durum wheat (Triticum turgidum L. ssp. durum) has the A and B genomes. This study aimed to assess the usefulness of the square of predictive ability for subgenome i [r(MP(i))(2)] for estimating subgenome contributions to trait variation and to determine which subgenomes in bread wheat and durum wheat populations had the largest and smallest contributions for different traits. Phenotypic and marker data were obtained for four populations used in published studies to map quantitative trait loci (QTL). Subgenome r(MP(i)) was calculated by analyzing only the markers within each subgenome. Clear differences were found in subgenome contributions for several but not all traits in the populations studied. In the Louise x Penawawa bread wheat population, the r(MP(i))(2) values indicated that the B genome had the largest contribution to variation for milling and baking quality traits, and these results were consistent with prior results showing QTL for such traits on chromosome 3B. For yield, no significant differences in subgenome contributions were found in any of the populations. The D genome, despite its lower polymorphism, had the largest r(MP(i))(2) for heading date in the 'Seri' x 'Babax' bread wheat population. In a bread wheat association mapping panel, the r(MP(i))(2) values were problematic in that their sum exceeded 1.0 and the subgenome r(MP(i)) values were not significantly different from the whole-genome r(MP). This result was probably caused by linkage disequilibrium between markers found in different subgenomes in the association mapping panel.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available