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农学学报 ›› 2016, Vol. 6 ›› Issue (6): 6-11.doi: 10.11923/j.issn.2095-4050.cjas15120003

所属专题: 资源与环境 玉米

• 农艺科学 生理生化 • 上一篇    下一篇

甜玉米种质资源种子活力综合评价

毛笈华,陈翰砚,顾鑫硕,于永涛,胡建广   

  1. 广东省农业科学院作物研究所/广东省农作物遗传改良重点实验室 广州,暨南大学生命科学技术学院 广州,暨南大学生命科学技术学院 广州,广东省农业科学院作物研究所/广东省农作物遗传改良重点实验室 广州,广东省农业科学院作物研究所/广东省农作物遗传改良重点实验室 广州
  • 收稿日期:2015-12-04 修回日期:2016-02-18 接受日期:2016-02-25 出版日期:2016-06-21 发布日期:2016-06-21
  • 通讯作者: 胡建广 E-mail:maoer08@163.com
  • 基金资助:
    广东省科技厅科研团队项目“旱地作物品种改良技术研究”(2011A020102010);广东省科技计划项目“甜玉米种质资源育种潜力的分子解析及优异基因的发掘”(2014A030304043),“抗病、耐寒甜糯玉米种质资源创新平台建设与育种研究”(2014B070706012)。

Comprehensive Evaluation of Seed Vigor in Sweet Corn Germplasm

  • Received:2015-12-04 Revised:2016-02-18 Accepted:2016-02-25 Online:2016-06-21 Published:2016-06-21

摘要: 旨在为甜玉米种子活力性状评价、鉴定和遗传改良提供参考,以95份甜玉米自交系为材料,通过幼苗生长测定、抗冷测定和人工加速老化试验,调查了标准发芽率(GE)、苗高(SH)、根长(RL)、低温相对发芽率(CRGE)、老化相对发芽率(ARGE)、老化相对根长(ARRL)、老化相对苗高(ARSH)7个指标,运用隶属函数法和多元统计分析方法对种子活力进行了综合评价。结果表明,甜玉米资源种子活力存在丰富的遗传变异,7个指标的遗传变异系数在14.42%~34.46%之间,累计贡献率为71.27%,通过逐步回归建立了种子活力综合评价数学模型Y活力=-2.596+1.626GE+1.07ARGE+0.628CRGE (R2=0.900),预测结果与隶属函数值(L)法的评价结果基本一致。最终基于活力综合评价值将95份自交系分为5个等级,标准发芽率、低温相对发芽率和老化相对发芽率可作为甜玉米种子活力评价的主要指标。

关键词: 农业补贴政策, 农业补贴政策, 实施效果, 政策效应, 文献述评

Abstract: The study aims to provide reference for evaluating, classifying and genetic improvement of seed vigor of sweet corn. Ninety-five sweet corn inbred lines were tested under standard germination, cold test (CT) and artificial aging (AA) treatment. Seven indexes, including germination rate (GE), seedling height (SH), root length (RL), relative germination rate in CT (CRGE), relative germination rate (ARGE), relative seedling height after AA (ARSH) and relative root length after AA (ARRL), were measured. The comprehensive evaluation of seed vigor was done by membership function method and multiple statistic analysis. The results showed abundant genetic variation of seed vigor exists in sweet corn germplasm. The coefficient of variation of seven indexes ranged from 14.42% to 34.46%, and the total contribution rate reached to 71.27%. A mathematical evaluation model for seed vigor was established by stepwise regression equation: Yvigor=-2.596 1.626GE 1.07ARGE 0.628CRGE (R2=0.900), and the predictive values (Y) were basically consistent with the mean value of subordinate function (L). Finally, 95 sweet corn lines were divided into five grades based on comprehensive seed vigor value. GE, ARGE and CRGE can be used as main indexes to evaluate seed vigor of sweet corn.

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