Accuracy of genomic selection in biparental populations of flax(Linum usitatissimum L.)

作     者：Frank M.You Helen M.Booker Scott D.Duguid Gaofeng Jia Sylvie Cloutier 

作者机构：Morden Research and Development Centre Agriculture and Agri-Food Canada Crop Development Centre Department of Plant Sciences University of Saskatchewan Ottawa Research and Development Centre Agriculture and Agri-Food Canada 

出 版 物：《The Crop Journal》 (作物学报（英文版）)

年 卷 期：2016年第4卷第4期

页      面：290-303页

核心收录：

学科分类：09[农学] 0901[农学-作物学] 

基　　金：conducted as part of the A-base project (No.1142) funded by Agriculture and Agri-Food Canada the Total Utilization Flax GENomics (TUFGEN) project funded by Genome Canada and other stakeholders the flax breeding database project funded by Western Grain Research Foundation (WGRF) 

主　　题：Genomic selection SSR Flax Linseed Seed yield Fatty acid composition 

摘      要：Flax is an important economic crop for seed oil and stem fiber. Phenotyping of traits such as seed yield, seed quality, stem fiber yield, and quality characteristics is expensive and time consuming. Genomic selection(GS) refers to a breeding approach aimed at selecting preferred individuals based on genomic estimated breeding values predicted by a statistical model based on the relationship between phenotypes and genome-wide genetic markers. We evaluated the prediction accuracy of GS(rMP) and the efficiency of GS relative to phenotypic selection(RE) for three GS models: ridge regression best linear unbiased prediction(RR-BLUP),Bayesian LASSO(BL), and Bayesian ridge regression(BRR), for seed yield, oil content, iodine value, linoleic, and linolenic acid content with a full and a common set of genome-wide simple sequence repeat markers in each of three biparental populations. The three GS models generated similar rMPand RE, while BRR displayed a higher coefficient of determination(R^2)of the fitted models than did RR-BLUP or BL. The mean rMPand RE varied for traits with different heritabilities and was affected by the genetic variation of the traits in the *** for seed yield generated a mean RE of 1.52 across populations and marker sets, a value significantly superior to that for direct phenotypic selection. Our empirical results provide the first validation of GS in flax and demonstrate that GS could increase genetic gain per unit time for linseed breeding. Further studies for selection of training populations and markers are warranted.