西瓜产量与养分含量的灰色关联度和通径分析
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上海市科技兴农重大项目(沪农科重字[2011]第1-3号)、上海市农科院青年基金项目(QJ18)和上海市西瓜甜瓜产业技术体系项目资助


Grey Correlation Analysis and Path Coefficient Analysis Between Nutrient Content and Yield of Watermelon
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    摘要:

    采用灰色关联度分析和通径分析法,对设施西瓜养分含量与产量进行了分析。通径分析结果表明,西瓜各器官养分含量对产量贡献率大小依次为:茎K > 叶P > 瓜N > 叶K > 瓜K > 叶N > 茎N > 茎P > 瓜P。灰色关联分析的结果表明,影响西瓜产量的各养分含量因子的重要性排序为:茎K > 瓜K > 叶N > 瓜N > 茎P > 茎N > 叶K > 瓜P > 叶P。试验中通径分析得到的贡献率大小及次序与灰色关联分析得到的关联度有所不同,但两种方法均显示茎K对产量的贡献最大、关联性最强;同时,瓜P对产量的直接负向效应最大,对产量的关联度较小。表明生产中可将提高西瓜茎中钾积累量和控制瓜中磷积累量作为西瓜增产的一个重要参考指标。

    Abstract:

    The?data?of nutrient content and yield of watermelon were used to conduct grey?correlation?analysis (GRA)?and path coefficient?analysis (PCA). The PCA results showed that?the?direct?contribution?rate?of nutrient content for different watermelon organ?to?the?yield was?ranked?in?order of Stem K > Leaf P > Fruit N > Leaf K > Fruit K > Leaf N > Stem N > Stem P > Fruit P. The?GRA?results?indicated?that?the?order?of?the?importance?among?all?nutrient content factors?was?ranked as?Stem K > Fruit K > Leaf N > Fruit N > Stem P > Stem N > Leaf K > Fruit P > Leaf P. In?the?experiment,?the?direct?effects?from GRA and?PCA differed?in?the?size?and?order.?However, for both of the two analytical methods,?Stem K?played?the?most?important?role?in?improving?yield?of watermelon, while Fruit P showed the opposite influence and showed the greatest direct negative effects on yield among?all?main nutrient content factors.?Therefore it is helpful to improve yield of watermelon through enhancing potassium accumulation rate in stem and reducing phosphorus accumulation in fruit properly.

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蔡树美,诸海焘,余廷园,田吉林.西瓜产量与养分含量的灰色关联度和通径分析[J].土壤,2014,46(4):651-655. CAI Shu-mei, ZHU Hai-tao, YU Ting-yuan, TIAN Ji-lin. Grey Correlation Analysis and Path Coefficient Analysis Between Nutrient Content and Yield of Watermelon[J]. Soils,2014,46(4):651-655

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  • 在线发布日期: 2014-09-12
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