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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 environ-ments). 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 x E)相互作用的影响在甘蔗育种计划中很重要。已经提出了加性主要效应和乘性相互作用(AMMI)统计模型来解释基因型(G),环境(E)和G x E相互作用效应。这项研究的目的是使用AMMI模型来识别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(适应于特定环境)。在危地马拉甘蔗生产区的五个地点对16个品种的甘蔗和第一季再生作物进行了产量试验。记录了三个生产性状的数据:每公顷蔗糖吨(TCH),蔗糖蔗糖百分比(SUC%)和每公顷糖吨(TSH)。 AMMI方差分析表明,对于字符TCH,SUC%和TSH,环境(E),基因型(G)和GE交互作用非常显着(P <0.01)。 TSH的前两个主要成分(PCA1和PCA2)非常显着(P <0.01),解释了G x E相互作用平方和的73%。根据PCA1和PCA2得分的估算以及每种基因型和环境的均值,品种CP72-2086和CG97-97表现出良好而稳定的TSH,而CG96-21,CG97-77和CG96-01表现出强相互作用。因此,建议将它们用于特定环境。通过使用AMMI模型,可以鉴定出具有特定适应性或广泛适应性的优良甘蔗品种。

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