棉 花 学 报    Cotton Science    2007，19(3)：214-218

Cotton Growth Condition Spatial Variance Analysis Based on Geo-statistics
LI Ya-bing，MAO Shu-chun^*，WANG Xiang-he，HAN Ying-chun，WANG Guo-ping，FAN Zheng-yi，ZHU Qiao-ling
(Cotton Research Institute，Chinese Academy of Agricultural Sciences，Key Laboratory of Cotton Genetic Improvement，Ministry of Agriculture，Anyang He′nan 455000，China)

Abstract：Semi variance analysis of Geo-statistics was used to quantify the spatial heterogeneity of cotton growing condition in China in 2006.the results showed that：The spatial heterogeneity of cotton growth indicator indices does exist，The semi-variograms of mature bolls per plant in August were best described by spherical model. The model determination coefficient is 0.879.The rest semi-variograms of true leaves per plant in May and June，and fruit nodes per plant in July and mature bolls per plant in September were best described by Gaussion model. The model's determination coefficients(R²) are 0.627、0.472、0.856、0.811，respectively. The scales of spatial heterogeneity were1644.25、1822.61、2293.59、2777.63、1195.56 km respectively from May to September. The spatial variability of cotton growing condition was mainly caused by structural factors with spatial structural ratio > 25 %. The structural ration were 0.999、0.61、0.967、0.929、0.869 respectively，The scales of spatial heterogeneity of them showed a positive linear correlation with cotton growing age before Aug 15^th，but show a negative correlation with cotton growing age subsequently.
Key words：cotton；growth condition；spatial analysis；semi-variance   [Full Text，2601KB]