基于PLS的土壤养分与小麦产量空间相关关系研究
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国家高技术研究发展计划(863计划)资助项目(2009AA122101)、北京市科技计划课题重大项目(D101105046310003)和北京市科技计划课题重大项目


Relationship between Soil Nutrient and Wheat Yield Based on PLS
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    摘要:

    根据小汤山国家精准农业示范基地土壤采样结果,对全氮、碱解氮、有效磷、速效钾、有效铁等8种营养元素与2001~2006年小麦产量之间的空间相关关系进行了研究。结果表明:土壤养分之间存在互作关系,即多重共线性关系,利用简单相关很难判断作物产量与土壤各个养分之间真实的相关关系;利用偏最小二乘回归(PLS)提取的前2个主成分可解释约30%的因变量方差,约占所有主成分能够解释部分的96%;对于该试验地而言,氮、磷、钾3元素中,有效磷对产量发挥了更加重要的作用;微量元素中,有效锌对小麦产量影响最大,说明该试验地在施用传统的氮、磷、钾肥的同时,增施有效锌将会对小麦增产产生积极的作用。基于PLS方法建立了土壤养分与小麦产量之间的回归模型。

    Abstract:

    The objective of this study was to explore the relationship between wheat yield and soil properties. The spatial relationship of organic matter, total nitrogen, available phosphorous, potassium, iron and other 4 kinds of effective nutrients and 2001~2006 wheat yields were studied. The results showed that there were interactions among soil nutrients, maybe multicollinearity, so it was impossible to analyze the relationship of soil nutrients and wheat yield based on simple correlation. Based on partial least squares (PLS), the first two principal components could explain about 30% of the variance of the dependent variable, accounting for all the principal components could explain part of the 96%. For this test field, among nitrogen, phosphorus and potassium, phosphorus was the most important factor to determine the yield. Among trace elements, Zn exerted the greatest impact on wheat yield. In conclusion, the model constructed by PLS could not only make a reasonable explanation for wheat yield and soil nutrients, but also instruct be useful for variable rate fertilization. 

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陈云坪,马伟,王秀,赵春江.基于PLS的土壤养分与小麦产量空间相关关系研究[J].农业机械学报,2012,43(2):159-164.

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  • 在线发布日期: 2012-02-17
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