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The Grey Correlation Degree Analysis on Yield of Peanut and Traits in WarmTemperate Regions

机译:恒温区花生和特质产量的灰色相关度分析

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Peanut cultivars and environments are an important subject of peanut with good quality and high yield. In the study, the experiment was conducted with peanut, 6 peanut cultivars were tested in 9 different environments in Shandong province of China in 2008. Variation of peanut yield and traits was analyzed with the support of general linear model, and the results showed environment has more obvious effect on yield of peanut than cultivars. In order to understand the quantitative relationship between yield of peanut and 7 agronomic traits(main stem height, main stem leaves No., lateral branches length, full pods No., branch No., pod aciculae No., fruit let No.), Furthermore, the paper analyzed the traits of 7 indices evaluated comprehensively and quantitatively by use of grey correlation degree analysis method, the grey correlation degree of yield of peanut and 7 agronomic traits was' calculated. The grey correlation degree analysis on these data showed that the importance of the traits presented the difference effects on yield of peanut in 9 environments, analysis of 3 ecological regions results also indicated agronomic traits are one of factors affecting yield of peanut, so not only traits, but water and fertilization factors study should be further strengthened to improve yield of peanut in warm temperate regions.
机译:花生品种和环境是花生的重要主题,质量良好,产量高。在研究中,实验用花生进行,2008年在中国山东省的9种不同环境中进行了6种花生品种。随着一般线性模型的支持,分析了花生产量和特质的变化,结果显示了环境对花生产量比品种更明显。为了了解花生产量与7种农艺性状的定量关系(主干高度,主干叶编号,横向分支长度,全豆荚编号,分支编号,POD Acicula No.,Fruit Let No.),此外,本文分析了通过使用灰色相关度分析方法全面和定量评估的7个指数的性状,计算花生产量和7种农艺性状的灰色相关程度'计算。对这些数据的灰色相关度分析表明,该特征的重要性提出了9个环境中花生产量的差异效应,3个生态区域的分析结果也表明农艺性状是影响花生产量的因素之一,所以不仅仅是特征但是,应进一步加强水和施肥因子研究,以提高温带温带地区花生产量。

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