基于全基因组选择的高产花生选育方法OA北大核心CSTPCD

The batch selection of peanut cross combination study was carried out to provide theoretical guidance for the efficient breeding of new peanut varieties with high yield.Genomic selection analysis of 220 peanut germplasm resources was conducted using phenotypic data of single plant productivity and 100-pod weight at multiple locations for many years and re-sequencing data with depth of 10.Results showed that the phenotypic data were normally dis-tributed,after genome data control,a total of 527 469 high-quality SNP(single nucleotide polymorphism)sites were obtained.The estimated breeding values of single plant productivity and 100-pod weight were calculated by GBLUP(genomic best linear unbiased prediction)model based on phenotypic data.The estimated breeding values were standardized,and the weights of single plant productivity and 100-pod weight were 70%and 30%,respectively,to obtain the comprehensive breeding index of peanut germplasm individuals.There were 190 hybrid combinations of the top 20 materials which showed comprehensive breeding values,and the comprehensive breeding index of any two combinations were calculated.The coefficient of parentage between each two materials was calculated using G matrix based on the genome data.Standardize the comprehensive breeding index of combination and coefficient of parentage,assign 80%and 20%weights respectively to calculate the comprehensive score of the combination.According to the ranking of the comprehensive score of the combination,we could select the parent directly to set hybrid combination.In conclusion,the germplasm materials derived from the combination Kainong30×Kaixuan016 are suitable for high-yield parents.Genomic selection can efficiently and accurately calculate the ranking among combinations to select the parents and to make cross combinations in batches,improving the breeding efficiency rapidly.