An Efficient Method of Sampling Core Collection from Crop Germplasm
A method for sampling core collection from crop germplasm was proposed. A genetic model with GE interaction and mixed model approaches were used for analyzing the genetic data. Mahalanobis distance among varieties calculated from predicted genotype values were employed for clustering crop germplasm using unweighted pair group method with arithmetic average of hierarchical cluster. After specifying the appropriate threshold value of classification based on the dendrogram, all genotypes could be clustered into some different sets. The mean of deflection for each genotype was calculated. The core collection was constructed by the core entries sampled from each set, with the larger mean of deflection. A worked example on 168 varieties of cotton with five fiber traits was presented. The results showed that the 48 genotypes as a core collections could represent the genetic diversity of original resources.
国家科技期刊平台
NSTL
万方数据
维普
