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Interpretation and implications of genotype by environment interactions in advanced stage sugarcane selection trials in central Queensland

机译:昆士兰州中部晚期甘蔗选择试验中环境相互作用对基因型的解释和启示

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摘要

Data from 6 series of routine advanced stage selection trials were used to study genotype response across 'test' environments (locations and crop-years) for sugar yield in central Queensland. The objective was to determine whether genotype × environment (G × E) interactions are present for sugar yield in central Queensland and, if so, to interpret the nature of the interactions as well as determine their implications for the selection program. The relative magnitude of the G × E interaction components, namely genotype × location (G × L), genotype × crop-years (G × C), and genotype × location × crop-years (G × L × C), was studied using variance component analysis. In addition, environments were classified based on similarity with which they discriminate amongst genotypes (pattern analyses). nnThe study revealed substantial G × E interactions for sugar yield. The magnitude of variance attributable to the second-order interaction effect, G × L × C, was higher than that of the first-order interaction effects, G × L and G × C, in a considerable number of cases. The pattern of genotypic response across environments was not consistent among the different series of trials. These results indicate that the major contributing factor or pattern underlying G × E interactions for sugar yield in central Queensland may be complex and unpredictable, making it difficult to effectively exploit G × E interactions in the breeding program. Based on logistics and resources, the current practice whereby a manageable number of genotypes (40–50) is evaluated in a subset of locations (3–4 out of 6 possible) for 2 crop-years, and only the elite ones are re-evaluated in further locations and crop-years, appears appropriate.
机译:昆士兰州中部的6个常规常规阶段选择试验数据用于研究跨“测试”环境(地点和作物年)的基因型反应,以了解糖产量。目的是确定昆士兰州中部的糖产量是否存在基因型×环境(G×E)相互作用,如果存在,则解释相互作用的性质并确定其对选择程序的影响。研究了G×E相互作用成分的相对大小,即基因型×位置(G×L),基因型×位置(G×C)和基因型×位置×作物年(G×L×C)。使用方差成分分析。另外,根据环境在基因型之间进行区分的相似性对其进行分类(模式分析)。 nn该研究揭示了糖产量的大量G×E相互作用。在许多情况下,可归因于二阶相互作用效应的方差大小G×L×C高于一阶相互作用效应G×L和G×C。在不同系列的试验中,跨环境的基因型反应模式不一致。这些结果表明,昆士兰州中部糖产量的G×E相互作用的主要贡献因子或模式可能是复杂且不可预测的,因此难以在育种计划中有效利用G×E相互作用。根据后勤和资源,当前的做法是在一个子年份(6个可能的位置中的3-4个)中评估一个可管理数量的基因型(40-50个),持续2个作物年,而仅对精英水平进行重新评估。在进一步的地点和作物年度进行评估似乎很合适。

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  • 来源
    《Crop and Pasture Science》 |2002年第9期|p.1035-1045|共11页
  • 作者单位

    ABureau of Sugar Experiment Stations, Mackay, PMB 57, Mackay, Qld 4741, Australia.BBureau of Sugar Experiment Stations, Burdekin, PO Box 117, Ayr, Qld 4807, Australia.CCorresponding author;

    present address: Agronomy Department, Louisiana State University AgCenter,Baton Rouge, LA 70803, USA;

    email: ckimbeng@agctr.lsu.edu;

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