利用加性主效应和乘积交互作用模型对国际杂交水稻圃数据的分析

Using Additive Main Effects and Multiplicative Interaction Model to Analyze International Hybrid Rice Nursery Data

国际水稻遗传评价网（INGE）的1994年杂交水稻圃（IRHON）采用增广设计，包括了6个国家的17个地点和89个品种。为充分了解这类多点试验中关于品种和地点的交互作用，用加性主效应和乘积交互作用（AMMI）模型，以若干项乘积之和估算品种和地点的交互作用。借助双标图，可鉴别对地点有特殊适应性的品种。如果有参试地点的环境l因子的数据，AMMI模型还可帮助我们用环境因子解释品种和地点的交互作用。通过本文对1994年杂交水稻圃数据的分析，我们看到AMMI模型是分析多点试验数据的非常n效的工具，能为育种项目和决策部门提供非常有价值的品种适应信息。

International Hybrid Rice Observational Nursery (IRHON) of international Network of Genetic E valuation for Rice (INGER) in 1994 consisted of 89 cultivars, conducted at 17 locations in six different countries.The augmented design was used in the nursery. The traditional ANOVA and linear models are ado longer able to ex plore cultivar and location interactions effectively in such large scale multilocation trials. In this paper the Additive Main Effects and Multiplicative interaction (AMMI) model is used, where the interaction is approximated by sum of a few multiplicative terms. By means of biplots the cultivars with specific adaptation to certain locations can be iden tified. Moreover, if the environmental data are available, then AMMI model will provide insight into the interac tion. The power and the efficiency of AMMI models is demonstrated by analyzing IRHON data.