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林业科学 ›› 2020, Vol. 56 ›› Issue (12): 67-74.doi: 10.11707/j.1001-7488.20201208

• 论文与研究报告 • 上一篇    下一篇

基于组成型抗性性状的油茶抗茶籽象的评价模型

张守科1,2,方林鑫1,王毅3,张威1,舒金平1,*,汪阳东1,2,王浩杰1   

  1. 1. 中国林业科学研究院亚热带林业研究所 杭州 311400
    2. 中国林业科学研究院林木遗传育种国家重点实验室 北京 100091
    3. 青田县林业局 青田 323900
  • 收稿日期:2020-01-16 出版日期:2020-12-25 发布日期:2021-01-22
  • 通讯作者: 舒金平
  • 基金资助:
    中国林业科学研究院基本科研业务费专项资金项目(CAFYBB2019ZB002);浙江省林业科研成果推广项目(2019B02)

Evaluation Model for Resistance of Camellia oleifera to Curculio chinensis (Coleoptera: Curculionidae) Based on Fruit Properties

Shouke Zhang1,2,Linxin Fang1,Yi Wang3,Wei Zhang1,Jinping Shu1,*,Yangdong Wang1,2,Haojie Wang1   

  1. 1. Research Institute of Subtropical Forestry, Chinese Academy of Forestry Hangzhou 311400
    2. State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry Beijing 100091
    3. Qingtian Forestry Bureau Qingtian 323900
  • Received:2020-01-16 Online:2020-12-25 Published:2021-01-22
  • Contact: Jinping Shu

摘要:

目的: 基于茶籽象不同危害期油茶果实组成型抗性指标(果形指数、果皮厚度、茶皂素积累量)与为害率的关系,初步构建油茶抗茶籽象评价模型,为油茶的抗性育种提供理论参考。方法: 在茶籽象产卵高峰期,测定我国主栽的油茶长林系列8个无性系的果形指数、果皮厚度,并跟踪测定产卵高峰期、初孵幼虫期、幼虫发育期和幼虫成熟期4个关键期各无性系种子中茶皂素积累量;利用R语言MASS包中的stepAIC()函数,以各测定指标为自变量、茶籽象为害率为因变量,构建多元线性回归模型。结果: 在茶籽象产卵高峰期,8个无性系的果形指数差异显著(P < 0.05),极差为0.5~1.2,其中长林166号果形指数最小,为0.5~0.7;8个无性系果皮厚度为3~6 mm,均处于茶籽象危害厚度范围内,以长林53号果皮厚度最厚(5.03 ±0.08 mm)。茶籽象4个危害关键期8个无性系的茶皂素含量差异显著(P < 0.05),依据茶皂素积累量可聚为3个类群。基于6个变量进行多元回归分析,初步构建了以茶籽象为害率(Y)为因变量的油茶抗茶籽象的评价模型Y=0.531 6-0.301X2-0.436 57X4+0.059 526X5-0.019 4X6X2:果皮厚度;X4:初孵幼虫期茶皂素含量;X5:幼虫发育期茶皂素含量;X6:幼虫成熟期茶皂素含量),拟合度较好(P < 0.01,R2=0.773 7)。结论: 采用多元线性回归分析油茶长林系列无性系组成型抗性性状(果形指数、果皮厚度、茶皂素积累量)与茶籽象为害率的相关关系,初步构建了以果皮厚度及茶籽象初孵幼虫期、幼虫发育期和幼虫成熟期油茶种子中茶皂素含量为变量的油茶抗茶籽象的评价模型。

关键词: 茶籽象, 油茶, 组成型抗性, 果形指数, 果皮厚度, 茶皂素含量, 多元线性回归模型

Abstract:

Objective: To build a preliminary evaluation model of resistance to the damages of Curculio chinensis for Camellia oleifera based on fruit properties (capsule shape index, pericarp thickness, tea saponin content) of 8 Changlin clones of C. oleifera and C. chinensis's damage rate at four crucial stages (oviposition period, incubation period of larvae, developmental period of larvae and maturation period of larvae) to provide a theoretical basis for resistance breeding of C. oleifera. Method: The capsule shape index and pericarp thickness of 8 Changlin clones were measured during the peak of oviposition period. The accumulation of tea saponin was determined at four key periods. Finally the damage rate of each clone was counted. StepAIC() function in MASS package in R language was used to construct multiple linear regression model by using various measurements of the fruit properties as variables and the damage rate as dependent variables. Result: There were significant differences in capsule shape index between the 8 clones at the oviposition stage (P < 0.05), with a range of 0.5-1.2. Changlin No. 166 was long and elliptical, and the capsule shape index ranged from 0.5 to 0.7. Among the 8 clones, the pericarp thickness was between 3-6 mm, and the pericarp thickness of Changlin No. 53 was (5.03 ±0.08) mm which was higher than others. The pericarp thickness of all the clones was within the damage range of C. chinensis. The accumulation of tea saponin in the 8 clones at the four key stages showed to be different, and the tea saponin contents were obviously divided into three clusters. Based on the multivariate regression analysis of the 6 variables, the multivariate linear model with damage rate of C. chinensis (Y) as the dependent variable was preliminarily constructed:Y=0.531 6-0.301X2-0.436 57X4 + 0.059 526X5-0.019 4X6 (X2:pericarp thickness; X4:tea saponin content in incubation period of larvae; X5:tea saponin content in developmental period of larvae; X6:tea saponin content in maturation period of larvae). The regression model fitted well (P < 0.01, R2=0.773 7). Conclusion: The fruit properties (capsule shape index, pericarp thickness, tea saponin content) of C. oleifera were determined and analyzed. A multiple linear regression model was used to analyze the correlation between C. oleifera fruit properties and damage rate of C. chinensis in the four key periods. A preliminary evaluation model for the resistance to C. chinensis for C. oleifera was established. The establishment of the model is crucial for exploiting plant defensive traits in C. oleifera breeding to manage insect pests.

Key words: Curculio chinensis, Camellia oleifera, fruit properties, capsule shape index, pericarp thickness, tea saponin content, multiple linear regression model

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