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[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] The research aimed to analyze the influence of genotype, environment and interaction of genotype and environment on the number of ears per unit area of maize varieties, and to evaluate the stability and location discrimination of different maize varieties in Shandong Province. [Method] The regional experimental data of fresh waxy corn varieties in Shandong Province in 2010 were analyzed by AMMI model. [Result] A total of 98.09% of the average number of ear spikes was explained by three principal component axes. LN7087 and Lutiannuo 1 belonged to high-yielding and stable-yielding varieties with wide adaptability. The average number of spikelets of Lushennuo 1 was higher and stable Sex poor; Lennon waxy 11, Lu Nuo 6 lower the average number of ears, good stability, wide adaptability. The resolution of e1 and e2 pilot species was stronger; the resolution of e3 and e5 pilot species was weaker. [Conclusion] The AMMI model analysis method could be used to evaluate the stability and adaptability of maize varieties. The analysis of environment and gene interaction effects was more thorough, but there were also limitations. This study may provide a basis for establishing a statistical analysis method that objectively evaluates the high yield and stability of maize varieties in a relatively short period of time.