›› 2019, Vol. 31 ›› Issue (11): 1779-1789.DOI: 10.3969/j.issn.1004-1524.2019.11.02

• Crop Science • Previous Articles     Next Articles

Phenotypic diversity of rice resources in multiple provinces and screening of excellent resources

CHEN Yue1, ZHANG Dunyu1, DING Mingliang2, WANG Lingxian1, XIAO Suqin1, KE Xue1, CHENG Zaiquan1,*   

  1. 1.Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences, Yunnan Provincial Key Lab of Agricultural Biotechnology, Key Lab of Southwestern Crop Gene Resources and Germplasm Innovation, Ministry of Agriculture and Rural Affairs, Kunming 650205, China;
    2.The Institute of Food Crops, Yunnan Acadmy of Agricultural Sciences, Kunming 650205, China
  • Received:2019-06-20 Online:2019-11-25 Published:2019-12-04

Abstract: In order to study the level of phenotypic diversity of rice resources, 60 rice resources from 6 provinces in China were analyzed by variation coefficient, genetic diversity index, cluster analysis, correlation analysis, principal component analysis and stepwise regression analysis. These results suggested that the variation coefficient of 15 phenotypic traits were 9.58%-47.15%, the variation coefficient of grain length was the smallest, and the secondary branch number was the largest. The 15 phenotypic diversity indices were 1.8101-2.0411, flag leaf length diversity index was the largest, and the seed setting rate diversity index was the smallest. The genetic diversity indices of 6 provinces were 0.944 6-1.963 6, and the genetic diversity index of rice resources in different provinces was different. The result of cluster analysis showed that 60 rice resources could be clustered into 3 groups at 0.4 European distances, and 15 major phenotypic traits of each group were different. Principal component analysis and comprehensive evaluation of 15 phenotypic traits data showed that Sichuan's Shuhui 527 was the best resource of phenotypic comprehensive traits. At the same time, six indices, including plant height, grain length, grain width, number of first panicle branch, number of secondary panicle branch and thousand seeds weight were selected as comprehensive evaluation key indices for rice germplasm resources. The above phenotypic trait data and the selection of germplasm resources with better comprehensive characteristics could provide excellent parents and intermediate materials for rice breeding.

Key words: rice germplasm resources, phenotypic diversity, phenotypic traits, comprehensive evaluation

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