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机构地区:[1]青岛农业大学农学与植物保护学院青岛市主要农作物种质资源创新与应用重点实验室,山东青岛266109 [2]山东省青岛市种子管理站,山东青岛266001
出 处:《安徽农业科学》2011年第28期17206-17208,17236,共4页Journal of Anhui Agricultural Sciences
基 金:青岛市农业科技支撑项目(09-1-1-70-nsh);山东省农业良种产业化资助项目(30025);山东省泰山学者岗位项目
摘 要:[目的]分析基因型、环境及基因型与环境互作对玉米品种单位面积果穗数的影响,评价山东省不同玉米品种的稳定性和地点的鉴别力。[方法]采用AMMI模型对2010年山东省鲜食糯玉米品种区域试验数据进行分析。[结果]3条主成分轴共解释了98.09%的互作平均果穗数;LN7087和鲁甜糯1号属于高产、稳产型品种,适应性广;鲁星糯1号平均果穗数较高,稳定性差;莱农糯11、鲁糯6号平均果穗数较低,稳定性较好,适应性广泛。e1和e2试点对品种的分辨力较强;e3和e5试点对品种的分辨力较弱。[结论]AMMI模型分析方法可用于评价玉米品种的稳定性和适应性,较透彻地分析环境和基因互作效应,但也有局限性。该研究可为在较短时间内建立较客观地评价玉米品种的丰产性和稳定性的统计分析方法奠定基础。[Objective] To analyze the effect of gene,environment and their interaction on ear number per unit area of cown and to evaluate the stability of corn varieties and their discriminating ability of places.[Method] AMMI model was adopted to analyze the experimental data of fresh waxy corn tested in Shandong in 2010.[Result] Three principal constituent axles explained 98.09 % interactive ear number per unit area.With the high yield and stable varieties of LN7807 and Lutiannuo108,they were extensively adaptable;Luxingnuo1 was higher average yield and bad stability;Lainongnuo11 and Lunuo6 were lower average yield and better stable.The result also indicated that varieties in the test locations of e1 and e2 expressed stronger resolution power;e3 and e5 expressed weaker discriminating ability.[Conclusion] In spite of some limitations,AMMI model can be used to evaluate stability and adaptability of corn varieties as well as explicitly analyze interaction between environment and gene.This study laid the foundation for statistic methods used to objectively evaluate yielding ability and stability of corn varieties in short period.
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