Special Thesis & Basic Research

Diversity Analysis and Comprehensive Evaluation of Phenotypic Traits in 60 Japonica Rice Germplasm Resources from Different Sources

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  • Institute of Crop Sciences, Ningxia Academy of Agricultural and Forestry Sciences, Yinchuan 750002, China

Received date: 2022-07-27

  Online published: 2022-11-17

Abstract

In order to better select and utilize the dominant parents and improve the breeding efficiency of new rice varieties, 60 rice germplasms from Fujian, Northeast China and Ningxia were used as materials, the phenotypic diversities of 18 main traits of rice resources were evaluated through the coefficient of variation, genetic diversity index, cluster analysis, principal component analysis, stepwise regression analysis and other methods. The results showed that the coefficient of variation of 18 phenotypic traits was between 1.10% and 63.40%, among which the coefficient of variation of yellow-grained rice was the largest(63.40%), the coefficients of variation of rice appearance quality such as the rate of whole milled rice, chalky grain rate, chalkiness degree and imperfect grain were relatively large, all above 34.00%, while the coefficients of variation of roughness rate and growth period were relatively small, 1.10% and 2.94% respectively. The diversity index of the 18 phenotypic traits was 1.74-2.10, among which the genetic diversity index of the growth period was the lowest, and the diversity index of the plot yield was the highest. The phenotypic diversity index of 60 rice resources was analyzed according to the source. The phenotypic diversity index of rice resources in various regions varied greatly, among which Fujian had the largest variation range (1.06-2.10), followed by Northeast China (1.50-2.09), and Ningxia had the smallest variation range (1.51-2.01). The tested rice resources were clustered into 4 categories with the genetic distance of 1.03, and the characteristics of each type of resources were clarified. Based on the comprehensive D value of principal component analysis, the germplasm resources were sorted, and the top 10 germplasms with the highest comprehensive score were screened. At the same time, using the D value of principal component analysis and stepwise regression analysis, an evaluation equation of rice resources was constructed, which provides a basis for comprehensive evaluation and screening of rice resources.

Cite this article

CHEN Li, SUN Jianchang . Diversity Analysis and Comprehensive Evaluation of Phenotypic Traits in 60 Japonica Rice Germplasm Resources from Different Sources[J]. China Rice, 2022 , 28(6) : 74 -82 . DOI: 10.3969/j.issn.1006-8082.2022.06.015

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