春大豆叶面积指数与产量的空间变异性及相关分析  

Spatial Variability and Correlation of Spring Soybean LAI and Yield

作　　者：赵聪慧[1] 张淑娟[1] 王凤花[1] 赵华民[1] 张海红[1] 

机构地区：[1]山西农业大学工程技术学院,山西太谷030801

出　　处：《农机化研究》2010年第9期162-165,共4页Journal of Agricultural Mechanization Research

基　　金：山西省科技攻关项目(2007031109-2)

摘　　要：对春大豆叶面积指数(LAI)和产量的空间变异性及相关性进行分析,以便进一步指导春大豆的精细种植。为此,以晋大74号大豆为研究对象,用DGPS定位系统按7m×7m网格共布54个点,利用SunScan冠层分析系统采集此大豆开花结荚期的LAI,用估测法测定产量;运用地统计学原理对LAI和产量的空间变异性进行分析并建立它们的半方差函数模型,并进一步分析了两者之间的相关关系。结果表明,所测LAI和产量均具有中等变异性,变异函数模型均为球状模型,且均具有中等空间自相关性;产量与LAI呈抛物线关系,正相关性达显著水平,说明大豆高产群体存在适宜的叶面积指数范围,可以通过对叶面积指数的科学调控,使一定尺度范围内的春大豆产量获得全面提高。In order to analyze spatial variability and correlation of spring soybean LAI and yield,and further guide the fine cultivation of spring soybean,the LAI and yield of Jinda 74 soybean were studied. 54 sampling points which were sampled on a 7m grid were oriented by DGPS receipt machine. The LAI of the soybean in flowering period was taken by sunscan canopy analysis system and the yield was estimated. Using the theory of geo-statistics,the spatial variability of the LAI and yield were discussed and their semi-variance function models were established. The results showed that the measured LAI and yield had medium variability,and their semi-variance function models were the spherical models,and they had medium spatial self-relatively. The correlation analysis of LAI in flowering period and yield of spring soybean showed that there existed outstanding correlation,and the correlation was subject to parabola. These indicated that appropriate range of LAI existed in the high yield groups of spring soybean,so may improve the production of spring soybean within a certain scale by scientifically regulating and controlling LAI.

关 键 词：叶面积指数 产量 冠层分析系统 Sunscan空间变异性 相关分析 

分 类 号：S565.1[农业科学—作物学]