Genomic Selection in Preliminary Yield Trials in a Winter Wheat Breeding Program

G3: Genes, Genomes, Genetics

Waseem Hussain^1¹  Vikas Belamkar^1²  Ibrahim El-basyoni^3³  Mary J. Guttieri^2⁴  Diego Jarquín^1⁵ 

[1] Crop Science Department, Faculty of Agriculture, Damanhour University, Egypt^3;Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583^1;Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN 55108^5;USDA, Agricultural Research Service, Center for Grain and Animal Health Research, Hard Winter Wheat Genetics Research Unit, Manhattan, KS 66502^2;Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS 66506^4

关键词: genomic prediction;    Triticum aestivum;    spatial variation;    genotyping-by-sequencing;    genomic best linear unbiased prediction;    Genomic selection;    shared data resources;    GenPred;   

DOI  :  10.1534/g3.118.200415

学科分类：生物科学（综合）

来源: Genetics Society of America

【 摘 要 】

Genomic prediction (GP) is now routinely performed in crop plants to predict unobserved phenotypes. The use of predicted phenotypes to make selections is an active area of research. Here, we evaluate GP for predicting grain yield and compare genomic and phenotypic selection by tracking lines advanced. We examined four independent nurseries of F_3:6 and F_3:7 lines trialed at 6 to 10 locations each year. Yield was analyzed using mixed models that accounted for experimental design and spatial variations. Genotype-by-sequencing provided nearly 27,000 high-quality SNPs. Average genomic predictive ability, estimated for each year by randomly masking lines as missing in steps of 10% from 10 to 90%, and using the remaining lines from the same year as well as lines from other years in a training set, ranged from 0.23 to 0.55. The predictive ability estimated for a new year using the other years ranged from 0.17 to 0.28. Further, we tracked lines advanced based on phenotype from each of the four F_3:6 nurseries. Lines with both above average genomic estimated breeding value (GEBV) and phenotypic value (BLUP) were retained for more years compared to lines with either above average GEBV or BLUP alone. The number of lines selected for advancement was substantially greater when predictions were made with 50% of the lines from the testing year added to the training set. Hence, evaluation of only 50% of the lines yearly seems possible. This study provides insights to assess and integrate genomic selection in breeding programs of autogamous crops.

【 授权许可】

CC BY