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Constructing Core Collection of Crop Germplasm by Multiple Clusters Based on Genotypic Values

Hu Jin,Xu Haiming,Zhu Jun (Department of Agronomy, Zhejiang University, Hangzhou 310029)  
A genetic model for controlling systematical errors in fields and a robust statistical method were used to analyze the data. Predicted genotype values were used to cluster crop germplasm resources. Mahalanobis distance was used to calculate genetic distance among accessions. Unweighted pair-group average method of hierarchical cluster was used for grouping. According to a dendrogram, one accession of each group with two accessions of similar genetic variation was randomly chosen for next cluster, the accession went into next cluster if there was only one accession in a group. The sample from the first cluster was clustered and chosen again in the same way. When the number of chosen accessions was 20% - 30% of the initial accessions, the cluster was stopped and core collection could be constructed by these accessions. The difference in genetic diversity between core collection and Initial accessions was measured by F-test for variance, t-test for means, coefficient of variation and range. The example of multiple clusters on 168 accessions of cotton with five fiber traits was made. The results showed that the 41 genotypes of core collection could represent the genetic diversity of initial resources. It indicated that the method of multiple clusters to construct core collection was applicable.
【Fund】: 国家自然科学基金资助项目
【CateGory Index】: Q346
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