植物学报 ›› 2019, Vol. 54 ›› Issue (3): 360-370.DOI: 10.11983/CBB18182

• 技术方法 • 上一篇    下一篇

基于光合系统参数建立马铃薯耐荫性综合评价体系

刘勋(),张娇(),沈昱辰,谢德斌,李宏利,李春明,易小平,赵勇,唐道彬,吕长文,王季春()   

  1. 西南大学农学与生物科技学院/薯类生物学与遗传育种重庆市重点实验室, 重庆 400715
  • 收稿日期:2018-08-25 接受日期:2018-12-29 出版日期:2019-07-01 发布日期:2019-11-24
  • 通讯作者: 刘勋,张娇,王季春
  • 基金资助:
    重庆市社会事业与民生保障科技创新专项 No(cstc2015shms-ztzx80003);中央高校基本科研业务费 No(XDJK2017B023);中央高校基本科研业务费 No(2362015XK05)

Xun Liu(),Jiao Zhang(),Yuchen Shen,Debin Xie,Hongli Li,Chunming Li,Xiaoping Yi,Yong Zhao,Daobin Tang,Changwen Lü,Jichun Wang()   

  1. College of Agronomy and Biotechnology, Southwest University/Key Laboratory of Biology and Genetic Breeding for Tuber and Root Crops in Chongqing, Chongqing 400715, China
  • Received:2018-08-25 Accepted:2018-12-29 Online:2019-07-01 Published:2019-11-24
  • Contact: Xun Liu,Jiao Zhang,Jichun Wang

摘要: 为构建便捷的马铃薯(Solanum tuberosum)耐荫性综合评价体系并发掘耐荫种质, 以35个马铃薯品种(系)为实验材料, 测定块茎膨大期遮荫下植株叶片叶绿素含量、光合能力和叶绿素荧光等光合参数及收获后块茎单株产量和淀粉含量等指标。根据耐荫系数, 利用主成分分析法、隶属函数法、聚类分析法和逐步回归分析法进行综合评价。通过主成分分析将马铃薯耐荫性相关的13个单项光合指标转换为6个综合指标, 代表了全部信息的87.51%。以此计算各种质的隶属函数值, 并以主成分的贡献率进行加权, 最终获得所用材料耐荫性的综合评价值(D值)。根据D值聚类分析结果将35个马铃薯分为4类, 其中Eshu10和Lishu6分别为耐荫性最强和最弱的品种。通过逐步回归分析建立了马铃薯耐荫性评价数学模型: D=0.060+0.106Gs+0.214qP+0.143NPQ。同时, 用该评价体系鉴定为耐荫性强的品种(系)在遮荫后其产量和/或淀粉含量等指标减幅均低于耐荫性弱的种质, 表明该评价体系可用于快速评价和预测马铃薯种质的耐荫性。

关键词: 马铃薯, 耐荫性, 主成分分析, 隶属函数, 综合评价

Abstract: We aimed to construct a convenient evaluation system of potato shade tolerance and explore shade-tolerant germplasm, chlorophyll content, photosynthetic capacity, chlorophyll fluorescence and other parameters of photosynthetic systems of plant leaves under shade at tuber bulking stage. We measured tuber yield per plant and starch content after harvest in 35 potato cultivars (lines). Multiple statistical analyses (e.g., principal component analysis, membership function method, cluster analysis, and regression analysis) were used to analyze the shade tolerance coefficients and evaluate the shade tolerance of the potato cultivars (lines). First, 13 individual photosynthetic parameters related to shade tolerance of potato were converted into six comprehensive indexes by principal component analysis, representing 87.51% of the total information. Then, to obtain the comprehensive evaluation value of shade tolerance (D), we calculated the membership function values for each germplasm and weighted the contribution rate of principal component. Thirty-five potato cultivars (lines) were classified into four shade-intolerance types according to the results of D-value clustering analysis; Eshu10 and Lishu6 were the strongest and weakest shade tolerance cultivars, respectively. Finally, a mathematical evaluation model for potato shade tolerance was established by stepwise regression analysis: D=0.060+0.106Gs+0.214qP+ 0.143NPQ. In addition, the decrease in yield and/or starch content of cultivars (lines) with strong shade tolerance identified by the evaluation system was lower than that of germplasm with weak shade tolerance, so the evaluation system can be used to rapidly evaluate and predict the shade tolerance of potato germplasm.

Key words: potato, shade tolerance, principal component analysis, membership function, comprehensive evaluation