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Soil Quality under Different Land Uses in Hot Semiarid Agro-Ecological Region of India


Affiliations
1 Department of Soil Science, School of Agriculture, Njala University, Njala Campus, Moyamba, Sierra Leone
2 Department of Soil Science and Agricultural Chemistry, College of Agriculture, University of Agricultural Sciences, Dharwad (Karnataka), India
     

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A study was undertaken to identify important soil quality indicators and develop soil quality index for different land uses in Singhanhalli-Bogur micro watershed of northern transition zone of Karnataka. Soil samples were collected and analyzed following standard analytical procedures. Principal component analysis (PCA) was used to select a minimum data set that best represent soil functions of the study area. Five soil quality indicators, namely clay, silt, porosity, exchangeable Mg and organic carbon were identified as the best soil attributes that represent soil functions. A high degree of correlation was observed between the soil attributes. The soil quality varied from low to high. A major portion of the study area was under medium and high soil quality but larger portion was under medium soil quality. Soil quality under forest was higher than open scrub, plantation and agriculture. The application of organic and inorganic fertilizers as well as appropriate land uses such as forestry was recommended in order to improve the soil quality of the study area.

Keywords

Singhanhalli-Bogur, Soil Quality, Principal Component Analysis, Land Use, Matrix Correlation.
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  • Soil Quality under Different Land Uses in Hot Semiarid Agro-Ecological Region of India

Abstract Views: 257  |  PDF Views: 0

Authors

Denis M. K. Amara
Department of Soil Science, School of Agriculture, Njala University, Njala Campus, Moyamba, Sierra Leone
Parameshgouda L. Patil
Department of Soil Science and Agricultural Chemistry, College of Agriculture, University of Agricultural Sciences, Dharwad (Karnataka), India

Abstract


A study was undertaken to identify important soil quality indicators and develop soil quality index for different land uses in Singhanhalli-Bogur micro watershed of northern transition zone of Karnataka. Soil samples were collected and analyzed following standard analytical procedures. Principal component analysis (PCA) was used to select a minimum data set that best represent soil functions of the study area. Five soil quality indicators, namely clay, silt, porosity, exchangeable Mg and organic carbon were identified as the best soil attributes that represent soil functions. A high degree of correlation was observed between the soil attributes. The soil quality varied from low to high. A major portion of the study area was under medium and high soil quality but larger portion was under medium soil quality. Soil quality under forest was higher than open scrub, plantation and agriculture. The application of organic and inorganic fertilizers as well as appropriate land uses such as forestry was recommended in order to improve the soil quality of the study area.

Keywords


Singhanhalli-Bogur, Soil Quality, Principal Component Analysis, Land Use, Matrix Correlation.