多个省份水稻资源的表型多样性与优异资源的筛选

doi:10.3969/j.issn.1004-1524.2019.11.02

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

多个省份水稻资源的表型多样性与优异资源的筛选

陈越¹, 张敦宇¹, 丁明亮², 王玲仙¹, 肖素勤¹, 柯学¹, 程在全^1,*

1.云南省农业科学院生物技术与种质资源研究所,云南省农业生物技术重点实验室,农业农村部西南作物基因资源与种质创制重点实验室,云南昆明 650205;
2.云南省农业科学院粮食作物研究所,云南昆明 650205

收稿日期:2019-06-20 出版日期:2019-11-25 发布日期:2019-12-04
通讯作者: *,程在全,E-mail: czquan-99@163.com
作者简介:陈越(1985—),女,安徽蚌埠人,硕士,助理研究员,主要从事水稻种质资源研究。E-mail: chenyuebeyond@163.com
基金资助:
国家重点研发计划(2017YFD0100202); 云南省科技惠民专项(2016RA002); 云南省农业基础研究联合专项[2017FG001(-007)]

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 Zaiquan^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

摘要/Abstract

摘要： 为了解我国水稻资源的表型多样性水平,通过变异系数、遗传多样性指数、聚类分析、相关分析、主成分分析、逐步回归分析等方法对来自我国6个省份的60份水稻资源的15个主要表型性状的多样性水平进行了分析。结果表明:15个表型性状的变异系数为9.58%~47.15%,其中,谷粒长的变异系数最小,二次枝梗数的变异系数最大;15个表型性状的遗传多样性指数为1.810 1~2.041 1,其中,剑叶长的遗传多样性指数最大,结实率的遗传多样性指数最小;以水稻资源的来源为单位,6个省份水稻资源的表型性状遗传多样性指数均值为0.944 6~1.963 6,各个省份水稻资源的遗传多样性指数差异较大。聚类分析结果表明,在欧式距离0.4处可将60份水稻资源划分为3个类群,各类群表型性状差异明显;15个表型性状数据主成分分析和综合评价表明,60份水稻资源中四川的蜀恢527为表型综合性状排名第1的资源,同时筛选到株高、谷粒长、谷粒宽、一次枝梗数、二次枝梗数与千粒重共6个可作为水稻资源综合评价的关键指标。上述表型性状数据与由主成分分析得到的可用于评价水稻资源优劣的综合评价值,可筛选出综合性状较优的水稻资源,为后续水稻育种工作提供优良的亲本和中间材料。

关键词: 水稻资源, 表型多样性, 表型性状, 综合评价

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

中图分类号:

S511

陈越, 张敦宇, 丁明亮, 王玲仙, 肖素勤, 柯学, 程在全. 多个省份水稻资源的表型多样性与优异资源的筛选[J]. 浙江农业学报, 2019, 31(11): 1779-1789.

CHEN Yue, ZHANG Dunyu, DING Mingliang, WANG Lingxian, XIAO Suqin, KE Xue, CHENG Zaiquan. Phenotypic diversity of rice resources in multiple provinces and screening of excellent resources[J]. , 2019, 31(11): 1779-1789.

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多个省份水稻资源的表型多样性与优异资源的筛选

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

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