Assessment on Evaluating Parameters of Rice Core Collections Constructed by Genotypic Values and Molecular Marker Information

Abstract

Abstract: Eleven evaluating parameters for rice core collection were assessed based on genotypic values and molecular marker information. Monte Carlo simulation combined with mixed linear model was used to eliminate the interference from environment in order to draw more reliable results. The coincidence rate of range (CR) was the optimal parameter. Mean Simpson index (M_D), mean Shannon-Weaver index of genetic diversity (M_I) and mean polymorphism information content (M_PIC) were important evaluating parameters. The variable rate of coefficient of variation (VR) could act as an important reference parameter for evaluating the variation degree of core collection. Percentage of polymorphic loci (p) could be used as a determination parameter for the size of core collection. Mean difference percentage (MD) was a determination parameter for the reliability judgment of core collection. The effective evaluating parameters for core collection selected in the research could be used as criteria for sampling percentage in different plant germplasm populations.

Key words: core collection, genotypic value, molecular marker information, Monte Carlo simulation, mixed linear model, evaluating parameter, rice

WANG Jian-cheng , HU Jin , ZHANG Cai-fang , ZHANG Sheng . Assessment on Evaluating Parameters of Rice Core Collections Constructed by Genotypic Values and Molecular Marker Information[J]. RICE SCIENCE, 2007, 14(2): 101-110 .

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