摘要
研究利用AMMI模型对2007—2008年甘肃省马铃薯品种区域试验中的10个马铃薯品种、7个试点进行综合评价,分析10个马铃薯品种的稳定性及丰产性,以及7个试点的鉴别力。结果表明:各品种的稳定性大小为L0206-6>L0227-17>L0227-18>天2008-8-2>富薯3号>CK>34-126>98-6-2>35-62>陇薯6号,其中L0206-6,98-6-2品种的稳定性最强,陇薯6号的稳定性较差;L0227-17,L0206-6,L0227-18以及天2008-8-2的产量最高,98-6-2品种的产量最低。各个试点的鉴别力也具有差异性,各试点的鉴别力顺序为天水>会川>安定>静宁>临夏>秦王川>宕昌,其中天水地区对品种的选择性最高,宕昌地区对品种的鉴别力低。AMMI模型中的主成分值,共解释总互作平方和的93%,比线性回归模型能更有效地分析基因与环境互作效应。
AMMI(Additive Main Effects and Muhiplicative Interaction Model) was adopted to conduct comprehen- sive evaluation on the yield of ten cultivars at seven sites involved in the regional testing of potato in Gansu Province dur- ing 2007--2008. The results indicated that the stability of tested cultivars was as follows: L0206 - 6 〉 L0227 - 17 〉 L0227 - 18 〉 Tian 2008 - 8 - 2 〉 Fushu 3 〉 CK 〉 34 - 126 〉 98 - 6 - 2 〉 35 - 62 〉 Longshu 6; the production stability of L0206- 6 and 98 - 6 - 2 was higher than others, while that of Longshu 6 was the lowest; the yield of L0227 - 17, L0206 - 6, L0227 - 18 and Tian 2008 - 8 - 2 was relative high, while that of 98 - 6 - 2 was the lowest. The results also suggested that the discriminative parameter varied among different testing sites, which could be ranked as: Tianshui 〉 Huichuan 〉 Anding 〉 Jingning 〉 Linxia 〉 Qinwangchuan 〉 Tanchang. Therefore, Tianshui was the site with a highest dis- crimination, while Tanchang was the site with a lowest discrimination in selecting cultivars. The principle component of AMMI model could explain 93 % of total sum of squares of interaction, being more effective in analyzing the interaction between gene and environment than the traditional regression model.
出处
《干旱地区农业研究》
CSCD
北大核心
2013年第1期61-66,83,共7页
Agricultural Research in the Arid Areas
基金
国家科技支撑计划(2012BAD06B03)
甘肃省重大专项项目(1102NKDA025)