首页> 外文期刊>Annals of Biological Research >AMMI and GGEbiplot Model in Selection of New Taro Cultivars Under Different Agro-Ecological Zones in Papua New Guinea
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AMMI and GGEbiplot Model in Selection of New Taro Cultivars Under Different Agro-Ecological Zones in Papua New Guinea

机译:巴布亚新几内亚不同农业生态区下芋头新品种选育的AMMI和GGEbiplot模型

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Yield is an economically important trait considered by farmers engaged in taro production. The objective of the present study was to increase genetic diversity and assess the yield stability performance of the new taro cultivars evaluated under different environments. Fourteen cultivars were evaluated for two years 2013-2014 and 2015-2016 including other cultivars. The trial was planted in an augmented design and data was pooled and analyse as a randomised complete block design. The corm yields analysed using the additive main effect and multiplicative interaction (AMMI) and genotype and genotype by environment interaction (GGE) biplot. The additive main effects and multiplicative interaction model (AMMI) analysis of variance showed significant differences for genotype, environment and genotype by environment interaction. The result showed 31% of the total variation was accounted by environment while genotype and interaction accounted for 16.6 and 26.4%, showing significant differences. The highest variation by environment, (GXE) indicates that the genotypes performed differently across environments. The C5-353 was the ideal genotype with both high yield and high stability as indicated by the AMMI stability value (ASV) analysis and yield stability index (YSI) showing wider adaptability. The other most stable genotypes were BL/SM/43 and BL/SM/148. The GGE biplot indicated that M02 was the most stable environment and C5-353 was the most stable cultivar.
机译:产量是从事芋头生产的农民考虑的一项重要的经济特征。本研究的目的是增加遗传多样性并评估在不同环境下评估的新芋头品种的产量稳定性能。在2013-2014年和2015-2016年的两年中对14个品种进行了评估,包括其他品种。将该试验植入增强设计中,并将数据汇总并分析为随机完整块设计。使用累加主效应和乘性相互作用(AMMI)以及通过环境相互作用(GGE)双图进行的基因型和基因型分析球茎产量。方差的累加主效应和乘性交互作用模型(AMMI)分析显示,基因型,环境和基因型之间通过环境相互作用存在显着差异。结果表明,总变异的31%由环境引起,而基因型和相互作用分别占16.6和26.4%,显示出显着差异。最高的环境变异(GXE)表示基因型在不同环境中的表现不同。 C5-353是理想的基因型,具有高产量和高稳定性,如AMMI稳定性值(ASV)分析和具有更广泛适应性的产量稳定性指数(YSI)所示。其他最稳定的基因型是BL / SM / 43和BL / SM / 148。 GGE双线图表明,M02是最稳定的环境,而C5-353是最稳定的品种。

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