AMMI模型在花生区试数据分析中的应用
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S565.2

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科技部花生成果转化项目(2010GB2B100113);吉林省财政厅育种专项(吉财农指[2011]511号)


Application of AMMI Model in Regional Experiment of Peanut
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    摘要:

    分析基因型、环境及基因型与环境互作对花生品种单位面积荚果产量的影响,评价吉林省不同花生品种的稳定性和地点的鉴别力。采用AMMI模型对2011年吉林省花生品种区域试验数据进行分析。3条主成分轴共解释了92.05%的互作平均荚果产量;06测B8、吉花08-39、濮花28属于高产、稳产型品种,适应性广;引种08测A2和2008-8荚果平均产量较高,稳定性差;白沙1016稳产性较好,但产量较低。e2、e3、e6对品种的分辨率较强,e4和e5对品种的分辨率较差。AMMI模型分析方法可用于评价花生品种的稳定性和适应性,比较透彻地分析环境和基因互作效应。该研究可为在较短时间内建立较客观地评价花生品种的丰产性和稳定性的统计分析方法奠定基础。

    Abstract:

    The effect of gene,environment and their interaction on the yield per unit area of peanut was analyzed to evaluate the stability of peanut varieties and their discriminating ability of places.AMMI model was adopted to analyze the experimental data of the peanut tested in Jilin in 2011.Three principal constituent axles explained 92.05 % interactive average peanut yield.The results showed that ’06ceB8’,’Jihua08-39’ and ’Puhua28’ were high and stable yield varieties and they were extensively adaptable.’Yinzhong08ceA2’ and ’2008-8’ were higher average yield and bad stability.’Baisha1016’ was lower average yield and better stable.The results also indicated that varieties in the test locations of e2,e3 and e6 expressed stronger resolution power;e4 and e5 expressed weaker discriminating ability.AMMI model can be used to evaluate stability and adaptability of peanut varieties as well as explicitly analyze interaction between environment and gene.This study established the foundation for statistic methods used to objectively evaluate productivity and stability of peanut varieties in short period.

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李玉发,王佰众,张学军,刘红欣,栾天浩,窦忠玉,赵德,何中国. AMMI模型在花生区试数据分析中的应用[J].东北农业科学,2012,37(6):12-16.

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  • 收稿日期:2012-07-03
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  • 在线发布日期: 2024-12-06
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