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Paper Information

Journal:   JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES   OCTOBER-NOVEMBER 2007 , Volume 14 , Number 4; Page(s) 78 To 87.
 
Paper: 

PREDICTION TOTAL N BY ORGANIC MATTER CONTENT USING SOME GEOSTATISTIC APPROACHES IN PART OF FARM LAND OF SORKHANKALATEH, GOLESTAN PROVINCE

 
 
Author(s):  AYOUBI SH.A.*, MOHAMMAD ZAMANI S., KHORMALI F.
 
* SOIL SCIENCE, ISFAHAN UNIVERSITY OF TECHNOLOGY, IRAN
 
Abstract: 

This study was conducted to predict total N using auxiliary variable (organic matter) by kriging, co-kriging and kriging-regression techniques at the field scale in Sorkhankalateh district, Golestan province. Soil sampling performed on the nested-systematic pattern in 101 points in a plot with 100×180 m area, under the farmer's management. Through the laboratory analyses, total N and organic matter were measured for 70 and 101 soil samples, respectively. Geostatistical analyses were performed on original data and simple variograms and cross-variogram for two variables were calculated. After validation of models and development of a linear regression model between two variables, three mentioned methods were compared according to predict total N throughout the given field. The results of this study showed that kriging-regression method had the lowest ME and MSE and the most determination coefficient compared to the other methods, indicating that this technique was able to predict total-N more accurately using auxiliary variable (organic matter) data. On the other hand co-kriging has been produced more precise predictions compared to kriging due to using auxiliary variable. Overall results of this study revealed that among the studied methods, kriging-regression technique by using cheap- to- measure auxiliary variable like organic matter and less complexity in calculation suggested to evaluate spatial variability of total N in the study area for precise management.

 
Keyword(s): TOTAL N, ORGANIC MATTER, KRIGING, CO-KRIGING, REGRESSION, SORKHANKALATEH
 
 
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+ Click to Cite.
APA: Copy

AYOUBI, S., & MOHAMMAD ZAMANI, S., & KHORMALI, F. (2007). PREDICTION TOTAL N BY ORGANIC MATTER CONTENT USING SOME GEOSTATISTIC APPROACHES IN PART OF FARM LAND OF SORKHANKALATEH, GOLESTAN PROVINCE. JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES, 14(4), 78-87. https://www.sid.ir/en/journal/ViewPaper.aspx?id=103620



Vancouver: Copy

AYOUBI SH.A., MOHAMMAD ZAMANI S., KHORMALI F.. PREDICTION TOTAL N BY ORGANIC MATTER CONTENT USING SOME GEOSTATISTIC APPROACHES IN PART OF FARM LAND OF SORKHANKALATEH, GOLESTAN PROVINCE. JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES. 2007 [cited 2021May16];14(4):78-87. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=103620



IEEE: Copy

AYOUBI, S., MOHAMMAD ZAMANI, S., KHORMALI, F., 2007. PREDICTION TOTAL N BY ORGANIC MATTER CONTENT USING SOME GEOSTATISTIC APPROACHES IN PART OF FARM LAND OF SORKHANKALATEH, GOLESTAN PROVINCE. JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES, [online] 14(4), pp.78-87. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=103620.



 
 
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