[Spatial variability and quantitative analysis of field factors based on GIS].
The objective of this research was to investigate the variability and the quantitative relationships among soil nutrients and crop growth status and yield. All data were analyzed by both classical statistics and geostatistics based on GIS. Soil properties included soil pH, total N, organic matter, available P and available K, while crop growth status was indicated by SPAD, LAI and SPAD x LAI. All parameters except soil pH exhibited spatial correlation. Soil total N and organic matter, SPAD, LAI and SPAD x LAI were all correlated to rice yield. Kriged interpolation maps provided good indication of the spatial variability in crop yield and growth status. Spatial interpolation and correlation analysis proved that SPAD x LAI was more indicative of crop growth status than individual variables, and useful for implementing growth season and topdressing as needed.
Chen
Rongrong
R
Hi-Tech Key Laboratory of Information Agriculture, Jiangsu Province, Nanjing Agricultural University, Nanjing 210095, China. rrchen@njau.edu.cn
Zhou
Zhiguo
Z
Cao
Weixing
W
Dai
Tingbo
T
D018533:Biomass; D040362:Geographic Information Systems; D012275:Oryza / Q000254:growth & development*; D012987:Soil / Q000032:analysis*
D012987:Soil