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ANALYSIS OF GENOTYPE-BY-ENVIRONMENT INTERACTION FOR SUGARCANE BASED ON THE AMMI MODEL

机译:基于AMMI模型的甘蔗基因型 - 环境相互作用分析

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THE effect of genotype-by-environment (G x E) interaction is important in sugarcane breeding programs. The Additive Main Effects and Multiplicative Interaction (AMMI) statistical model has been proposed to explain genotypes (G), environments (E), andG X E interaction effects. The objectives of this research were to use the AMMI model to identify relatively stable sugarcane cultivars and those with strong G x E interaction (adapted to specific environments). Yield trials were conducted for the plantcane and first ratoon crop of 16 cultivars at five locations in the sugarcane production zone of Guatemala. Data on three production traits were recorded: tonnes of cane per hectare (TCH), sucrose percent in cane (SUC%), and tonnes of sugar per hectare (TSH). AMMI analysis of variance showed that environments (E), genotypes (G), and GE interactions were highly significant (P<0.01) for the characters TCH, SUC% and TSH. The first two principal components (PCA1 and PCA2) for TSH were highly significant (P<0.01) and explained 73% of the G x E interaction sum of squares. According to the estimates of PCA1 and PCA2 scores and means for each genotype and environment, the cultivars CP72-2086 and CG97-97 showed good and stable TSH, while CG96-21, CG97-77 and CG96-01 showed strong interaction. Therefore, they could be recommended for specific environments. It was possible to identify superior sugarcane cultivars selected with specific or wide adaptation by using the AMMI model..
机译:基因型 - 环境(G×e)相互作用的影响在甘蔗育种计划中是重要的。已经提出了添加剂主要效应和乘法相互作用(AMMI)统计模型来解释基因型(G),环境(E),AND X E互动效应。该研究的目的是使用AMMI模型来鉴定相对稳定的甘蔗品种和具有强G X E相互作用的甘蔗品种(适用于特定环境)。在危地马拉甘蔗生产区的五个地点进行甲硅烷和第一个鼠孢子和第一个Ratoon作物的产量试验。记录了三种生产性状的数据:每公顷(TCH),蔗糖百分比,蔗糖百分比,每公顷(TSH)。 AMMI对方差分析显示,环境(E),基因型(G)和GE相互作用对于角色TCH,SUC%和TSH非常重要(P <0.01)。 TSH的前两个主要成分(PCA1和PCA2)非常重要(P <0.01),并解释了33%的G×E相互作用平方和。根据PCA1和PCA2评分的估计和每个基因型和环境的方法,品种CP72-2086和CG97-97显示出良好且稳定的TSH,而CG96-21,CG97-77和CG96-01表现出强烈的相互作用。因此,可以推荐它们用于特定环境。通过使用AMMI模型,可以鉴定选择特定或广泛适应的优质甘蔗品种..

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