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首页> 外文期刊>Poljoprivreda i Sumarstvo: Agriculture and Forestry >PRINCIPAL COORDINATES ANALYSIS OF GENOTYPE × ENVIRONMENT INTERACTION IN GRAIN YIELD OF LENTIL GENOTYPES
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PRINCIPAL COORDINATES ANALYSIS OF GENOTYPE × ENVIRONMENT INTERACTION IN GRAIN YIELD OF LENTIL GENOTYPES

机译：扁豆基因型籽粒产量基因型×环境互作的主坐标分析。

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Exploration the genotype × environment (GE) interaction pattern is an important issue in most plant improvement programs. A significant GE interaction for grain yield can limit attempts in selecting the most favorable genotypes for both new cultivar recommendation and improved genotype development. Conventional statistical models of stability analysis provide little or no insight into the pattern of the GE interaction while the principal coordinates analysis can account more effectively for the underlying GE interaction patterns. To characterize 18 lentil genotypes from performance trials, data were obtained from 12 environments (four locations in 3 years). Combined analysis of variance indicated that effects of genotype (G), environment (E) and GE interaction were highly significant. The genotypes accounted for 6.8% of the sum of squares of G+E+GE, with environment responsible for 70.4% and interaction for 22.7%. According to grand means of test environments and total mean yield (1230 kg ha-1), environments are classified to two main groups as H (seven high mean yield) and L (five low mean yield). The identified most stable and high mean yield genotypes based on the minimum spanning tree plots and centroid distances were G2 with 1366 kg ha-1 and G11 with 1374 kg ha-1, and therefore could be recommended for unfavorable or poor conditions. Also, genotypes G5 (1324 kg ha-1), G9 (1329 kg ha-1) and G14 (1402 kg ha-1) were located four, five and six times in the vertex positions of seven high cycles, respectively according to the principal coordinates analysis and so these genotypes were the most stable ones with high mean yielding properties. The principal coordinates analysis provided useful and interesting ways of investigating GE interaction of lentil genotypes.
机译：在大多数植物改良计划中，探索基因型×环境（GE）相互作用模式是一个重要的问题。 GE对谷物产量的显着相互作用可能会限制尝试为新品种推荐和改良基因型开发选择最有利的基因型的尝试。常规的稳定性分析统计模型几乎无法提供GE交互模式的了解，甚至根本无法提供对GE交互模式的了解，而主坐标分析可以更有效地说明潜在的GE交互模式。为了从性能试验中鉴定出18种小扁豆基因型，从12种环境（3年中的4个地点）获得了数据。差异的综合分析表明，基因型（G），环境（E）和GE相互作用的影响非常显着。基因型占G + E + GE平方和的6.8％，环境占70.4％，相互作用占22.7％。根据测试环境的总体平均水平和总平均产量（1230 kg ha-1），环境分为H（七个高平均产量）和L（五个低平均产量）两个主要类别。根据最小生成树图和质心距离，确定的最稳定和平均产量最高的基因型是G2的1366 kg ha-1和G11的1374 kg ha-1，因此建议在不利或恶劣的条件下使用。此外，根据基因组类型，分别在七个高循环的顶点位置分别将基因型G5（1324 kg ha-1），G9（1329 kg ha-1）和G14（1402 kg ha-1）定位四，五和六次。主坐标分析，因此这些基因型是最稳定的基因型，具有高平均产量特性。主坐标分析提供了有用的和有趣的方法来调查小扁豆基因型的GE相互作用。

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