作者: Cathérine Pauline Herter , Erhard Ebmeyer , Sonja Kollers , Viktor Korzun , Thomas Miedaner
DOI: 10.1007/S00122-019-03364-7
关键词: Biology 、 Genetic gain 、 Best linear unbiased prediction 、 Trait 、 Selection (genetic algorithm) 、 Veterinary medicine 、 Population 、 Septoria 、 Single-nucleotide polymorphism 、 Quantitative trait locus
摘要: The genomic selection advantage for Fusarium head blight is promising but failed Septoria tritici blotch. Selection of new breeding parents based on predictions must be treated with caution. Genomic (GS) an approach that uses whole-genome marker data to estimate values untested genotypes and holds the potential improve genetic gain in programs by shortening cycle increasing intensity. However, reported realized from limited few experiments. In this study, a training population 1120 winter wheat lines derived 14 bi-parental families was genotyped genome-wide single nucleotide polymorphism markers phenotyped (FHB) blotch (STB) severity, plant height heading date. We used weighted ridge regression best linear unbiased prediction calculate estimated (GEBVs) 2500 genotypes. Based GEBVs, we selected most resistant individuals as well random sample tested them multi-location field trial. computed moderate coefficients correlation between observed predicted trait FHB date achieved 10.62 percentage points resistance compared randomly chosen subpopulation. improvement STB only 2.14 points. Our results also indicate GEBVs Taken together, implementation GS resistance, seems promising. For traits very strong genotype × environment variance, like appears still challenging.