Indian Journal of Agricultural Research

  • Chief EditorV. Geethalakshmi

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Indian Journal of Agricultural Research, volume 47 issue 4 (august 2013) : 269-279

SOIL SAMPLING STRATEGIES FOR SPATIAL PREDICTION OF SOIL PROPERTIES IN TOBACCO PLANTATION IN CENTRAL CHINA

Jiang Hou-Long, Tang mei, Xu Anding, Yang Chao, Liu Guo-Shun1*, Hu Hong-Chao2
1Chongqing Tobacco Science Research Institute, Chongqing - 400715, China

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Cite article:- Hou-Long Jiang, mei Tang, Anding Xu, Chao Yang, Guo-Shun1* Liu, Hong-Chao2 Hu (2024). SOIL SAMPLING STRATEGIES FOR SPATIAL PREDICTION OF SOIL PROPERTIES IN TOBACCO PLANTATION IN CENTRAL CHINA. Indian Journal of Agricultural Research. 47(4): 269-279. doi: .

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 20×40-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.

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