Crop Yield Influenced by Soil Properties: A R...

Crop Yield Influenced by Soil Properties: A Review

Author Name : Sanagala Charishma, Pravin Dahiphale

ABSTRACT

The aim of the study is to reveal the relationship between soil properties and grain yields. Palfia (2002) worked on probability of drought occurrence in Hungary. Brubaker S.C et al., (1994) carried out study on regression models for estimating soil properties by landscape position. The advantages of using principal component regression analysis as follows:

(I) principal component analysis operates well with highly correlated variables and performs a reasonable dimension reduction; (II) principal components are uncorrelated and can express the interactions of soil properties. Although the principal components do not explain the total variance of the entire set of variables (which may be a disadvantage), they can explain the yields better than the simple indicators. Consequently, the variables can effectively explain the yield and the variability together with other variables as linear combinations.

Keywords: Principal component analysis, soil plant relationship, weather conditions.