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Genotype × Environmental Interaction on Seed Cotton Yield and Yield Components

机译:基因型×环境相互作用对籽棉产量和产量构成的影响

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Cotton yield and fibre quality parameters are dependent on the environment in which the crop is grown. A major challenge in crop genotype recommendations is genotype × environment interaction. The identification of cultivars with high adaptability and stability is one of the best ways to address this challenge. Genotype × Environmental interaction on Gosypium hirsutum was investigated. Ten genotypes were plant ed in a randomised complete block design with three replications. Collected data were subjected to Analysis of Variance (ANOVA) with genotype and location as factors. Additive Main Effect and Multiplicative Interaction model which combines standard analysis of variance with principal component analysis was used to investigate the genotype main effects, environment main effects and the GE interactions. Significant genotype × environment interactions existed for lint yield, boll weights, staple length, and fuzzy seed grade. There were no significant cultivar × site interactions on total seed cotton yield. Cotton cultivars respond differently to different growing conditions implying that, correct choice of varieties by growers for specific production conditions, must be a must to avoid losses due to genotype × environment interactions.
机译:棉花产量和纤维质量参数取决于作物生长的环境。推荐作物基因型的主要挑战是基因型×环境相互作用。识别具有高适应性和稳定性的品种是应对这一挑战的最佳方法之一。研究了陆地棉基因型×环境互作。将十个基因型种植在一个随机的完整区组设计中,重复三遍。以基因型和位置为因子,对收集到的数据进行方差分析(ANOVA)。将变异的标准分析与主成分分析相结合的加性主效应和乘性相互作用模型用于研究基因型主效应,环境主效应和GE相互作用。在皮棉产量,铃重,主食长度和种子等级模糊方面存在显着的基因型×环境相互作用。在种子棉总产量上没有显着的品种×部位相互作用。棉花品种对不同生长条件的反应不同,这意味着必须针对特定的生产条件正确选择种植者的品种,以避免因基因型×环境相互作用而造成的损失。

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