春大豆叶面积指数的空间结构性分析  

Spatial Structure of LAI of Spring Soybean

作　　者：赵聪慧[1] 张淑娟[1] 王凤花[1] 介邓飞[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4期26-29,共4页Journal of Agricultural Mechanization Research

基　　金：山西省科技攻关项目(2007031109-2)

摘　　要：为了对春大豆叶面积指数(LAI)的空间结构性进行分析,进一步指导春大豆的精细种植,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,并利用SunScan冠层分析系统采集大豆开花结荚期的叶面积指数;运用地统计学原理对LAI的空间结构性进行分析,并建立其半方差函数模型。结果表明:所测LAI具有中等变异性,变异函数模型为球状模型,且具有中等空间自相关性,相关距离为44.8m,可为后续作物生长性状、土壤特性、产量信息的空间变异性及相关性分析提供了基础和前提。In order to analyze spatial structure of the LAI of spring soybean and further guide the fine cultivation of spring soybean , the LAI of Jinda 74 soybean was studied. 54 sampling points which was sampled on a 7m grid were oriented by DGPS receipt machine. The LAI of the soybean in flowering period was taken by Suncan Canopy Analysis System. Using the theory of geo - statistics, the spatial structure of the LAI was discussed and its semi - variance function model was established. The results showed that the spherical model. The LAI had the measured LAI had medium variability, and its semi -variance function model was medium spatial self- relatively, and the range of its correlation distance was 44.8m. These may provide the foundation and prerequisite for further studying physiological characteristics of soybean and soil properties and the spatial variability of yield of soybean and relevance of them.

关 键 词：春大豆 叶面积指数 Sunscan冠层分析系统 地统计学 空间结构性 

分 类 号：S114[农业科学—农业基础科学]