The storage protein activator gene Spa-B1 and grain quality traits in southern Australian wheat breeding programs
H. A. Eagles A G , Karen Cane B , Marie Appelbee C , Haydn Kuchel D , R. F. Eastwood E and P. J. Martin F
+ Author Affiliations
- Author Affiliations
A School of Agriculture, Food and Wine, Waite Campus, University of Adelaide, PMB1, Glen Osmond, SA 5064, Australia.
B Department of Primary Industries, PB260, Horsham, Vic. 3401, Australia.
C LongReach Plant Breeders, 1/18 Waddikee Road, Lonsdale, SA 5160, Australia.
D Australian Grain Technologies, Roseworthy Campus, University of Adelaide, Roseworthy, SA 5371, Australia.
E Australian Grain Technologies, PB 260, Horsham, Vic. 3401, Australia.
F Department of Primary Industries, Wagga Wagga Agricultural Institute, PMB, Wagga Wagga, NSW 2650, Australia.
G Corresponding author. Email: Howard.Eagles@adelaide.edu.au
Crop and Pasture Science 63(4) 311-318 https://doi.org/10.1071/CP12055
Submitted: 14 February 2012 Accepted: 10 April 2012 Published: 19 June 2012
Abstract
Grain quality is an important determinant of market value of wheat in southern Australia and in many other parts of the world. Identification of the genes that influence grain quality traits and estimation of effects of alleles of these genes can improve the effectiveness of wheat breeding. An efficient method for estimating the effects of alleles of recently discovered genes is to use mixed-model analyses in large plant breeding datasets that have already been characterised for previously known genes. We used this method to estimate the effects of two alleles of Spa-B1, a storage protein activator gene that is linked to Glu-B1, on grain quality traits. Alleles of the two genes tracked together as haplotypes for generations, but recombination events were identified. These recombination events were used to enhance confidence in identification of the alleles. The effects of the alleles of Spa-B1 were small and statistically not significant for all of the grain quality traits in our population.
Additional keywords: dough rheology, Glu-B1, Glu-D3, haplotype, linkage disequilibrium, marker-assisted selection.
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