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Soil Sampling Strategies for Spatial Prediction of Soil Properties in Tobacco Plantation in Central China


Affiliations
1 Chongqing Tobacco Science Research Institute, Chongqing - 400715, China
2 Tobacco College Agronomy Department of Henan Agricultural University, National Tobacco Cultivation, and Physiology and Biochemistry Research Centre, Zhengzhou 450002, China
3 Pingdingshan Tobacco Company of Henan Province, Pingdingshan 467000, China
     

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Soil samples (from topsoil 0-20-cm) were taken from 111 points on an approximately 20-m grid in March 2009. Using a geographic Information System Software Platform (ArcGIS), the soil sampling points from the primary scheme were regularly deleted to create three sampling scenarios. Twelve chemical properties were analyzed by geostatistical techniques at three sampling intervals. Results indicated that the twelve properties showed strong spatial variability at the three sampling intervals. The reasonable sampling intervals of soil available phosphorus (AP), available potassium (AK), cation exchange capacity (CEC), Fe, Cu, and Zn were 20-m. In the 20 x 40-m sampling interval, soil alkaline hydrolyzable nitrogen (AN), total nitrogen (TN), organic matter (OM), and active soil OM (ASOM), had the least interpolation errors. Soil pH and Mn had the least interpolation errors at the 40-m sampling interval.

Keywords

Kriging, Precision Agriculture, Spatial Prediction, Sampling Interval, Tobacco
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  • Soil Sampling Strategies for Spatial Prediction of Soil Properties in Tobacco Plantation in Central China

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Authors

Jiang Hou-Long
Chongqing Tobacco Science Research Institute, Chongqing - 400715, China
Tang Mei
Chongqing Tobacco Science Research Institute, Chongqing - 400715, China
Xu Anding
Chongqing Tobacco Science Research Institute, Chongqing - 400715, China
Yang Chao
Chongqing Tobacco Science Research Institute, Chongqing - 400715, China
Liu Guo-Shun
Tobacco College Agronomy Department of Henan Agricultural University, National Tobacco Cultivation, and Physiology and Biochemistry Research Centre, Zhengzhou 450002, China
Hu Hong-Chao
Pingdingshan Tobacco Company of Henan Province, Pingdingshan 467000, China

Abstract


Soil samples (from topsoil 0-20-cm) were taken from 111 points on an approximately 20-m grid in March 2009. Using a geographic Information System Software Platform (ArcGIS), the soil sampling points from the primary scheme were regularly deleted to create three sampling scenarios. Twelve chemical properties were analyzed by geostatistical techniques at three sampling intervals. Results indicated that the twelve properties showed strong spatial variability at the three sampling intervals. The reasonable sampling intervals of soil available phosphorus (AP), available potassium (AK), cation exchange capacity (CEC), Fe, Cu, and Zn were 20-m. In the 20 x 40-m sampling interval, soil alkaline hydrolyzable nitrogen (AN), total nitrogen (TN), organic matter (OM), and active soil OM (ASOM), had the least interpolation errors. Soil pH and Mn had the least interpolation errors at the 40-m sampling interval.

Keywords


Kriging, Precision Agriculture, Spatial Prediction, Sampling Interval, Tobacco

References