中国农业科技导报 ›› 2021, Vol. 23 ›› Issue (7): 54-64.DOI: 10.13304/j.nykjdb.2020.0861

• 生物技术 生命科学 • 上一篇    下一篇

印度鹰嘴豆资源遗传多样性分析及优异资源筛选#br#

于海天1,吕梅媛1,万述伟2,杨峰1,胡朝芹1,杨新1,张晓艳2,王玉宝1,何春华3,林德明3,王丽萍1*   

  1. 1.云南省农业科学院粮食作物研究所, 昆明 650205;  2.青岛市农业科学研究院, 山东 青岛 266100;  3.曲靖市马龙区鸡头村街道城镇和社区综合服务中心, 云南 曲靖 655199
  • 收稿日期:2020-10-14 接受日期:2020-12-25 出版日期:2021-07-15 发布日期:2021-07-15
  • 通讯作者: 王丽萍 E-mail: wlp736@163.com
  • 作者简介:于海天 E-mail: haitianlegume@outlook.com
  • 基金资助:

    国家食用豆产业技术体系建设项目(CARS-08-G07);

    948项目(2014-Z51)

Genetic Diversity Analysis of Indian Chickpea (Cicer arietinum L.) Resources and Screening of Excellent Germplasm

YU Haitian1*, LYU Meiyuan1, WAN Shuwei2, YANG Feng1, HU Chaoqin1, YANG Xin1, ZHANG Xiaoyan2, WANG Yubao1, HE Chunhua3, LIN Deming3, WANG Liping1*   

  1. 1.Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205,China;  2.Qingdao Academy of Agricultural Sciences, Shandong Qingdao 266100, China;  3.Towns and Communities Integrated Service Center of Jitou Village of Malong District in Qujing, Yunan Qujing 655199, China
  • Received:2020-10-14 Accepted:2020-12-25 Online:2021-07-15 Published:2021-07-15

摘要: 为了解并有效利用印度鹰嘴豆种质资源农艺性状的多样性,通过遗传多样性分析、聚类分析、主成分分析和综合D值评价等方法对181份印度鹰嘴豆资源的12个农艺性状的多样性水平进行分析,筛选可用于评价鹰嘴豆资源的农艺性状及综合表现良好的种质。结果表明:12个表型性状的变异系数范围为7.47%(播种至开花期天数)~85.26%(秕荚数),百粒重、分枝数、有效分枝数、实荚数、见花至开花期天数、产量、单株产量和秕荚数的变异系数均大30%,具有很好的改良潜力;Shannon多样性指数范围为1.750 9(单株产量)~2.053 5(单荚粒数),平均值为1.930 2,单荚粒数、株高、有效枝数和播种至见花期天数的多样性指数均大于2.000 0,12个农艺性状的遗传多样性指数均大于1.700 0,说明各性状的数量指标分布较为均匀;在欧式距离为3.41处,181份印度鹰嘴豆资源被分为9个类群,各类群资源数量不同,第Ⅰ~Ⅷ类群均具有一定的性状优势;筛选到4个可用于综合评价印度鹰嘴豆资源的主要表型性状,分别为实荚数、播种至开花期天数、株高、分枝数;利用综合D值评价筛选到31份综合表现较好的资源,为我国鹰嘴豆种质创新和新品种选育提供理论基础和优异的基础材料、亲本来源。

关键词: 印度, 鹰嘴豆, 资源, 遗传多样性

Abstract: In order to study the genetic diversity of agronomic traits of Indian chickpea resources, by diversity analysis and comprehensive evaluation, genetic diversity analysis, cluster analysis, principal component analysis and comprehensive D value, 12 agronomic traits of 181 chickpea resources were analyzed to select the major agronomic traits, which had significant effect on comprehensive evaluation and excellent resources which had comprehensive well performance. The results showed that the coefficient of variation of 12 agronomic traits were 7.47% (days from sowing to flowering period, DSFP) to 85.26% (number of pods no seeds per plant, NPNS), among which HSW (hundred seeds weight), NB (number of branches), NBP (number of branches with pods), NPSP (number of pods with seeds per plant), DFFP (days from first flower to flowering period), YPP(yield per plot), YH (yield per hectare) and NPNS were all higher than 30%, indicating that these traits had great potential for improvement. The Shannon-Wiener analysis showed that diversity index of 12 agronomic traits were 1.750 9 (YP) to 2.053 5 (number of seeds per pod, NSPP), among which the NSPP, PH (plant height), NBP and DSFF (days from sowing to first flower) were higher than 2.000 0, and all traits were higher than 1.700 0, indicating that all the index of 12 traits distributed well. Cluster analysis showed that when European distance was 3.41, 181 resources were clustered into nine groups with different number of resources.Excepting group Ⅸ, all groups had different advantages. Meanwhile, four traits including NPSP, DSFF, PH, NB had significant effects on. And 31 germplasm resources were selected with better comprehensive characteristics by D value, which provided  theoretical basis and excellent resources for innovative utilization of chickpea in China.


Key words: India, chickpea, resources, genetic diversity

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