Multivariate classification of promising paddy cultivars on the basis of physical properties

Singh Y., . and Prasad K., . Multivariate classification of promising paddy cultivars on the basis of physical properties. pp. 331-345.

Properties of materials play important role in the development of processing storing and handling equipment. Genetic diversity is one of the important tools to qualify genetic variability in both cross and self-pollinated crops. Through this study efforts were made to find out variability and relationship between paddy cultivars of various economically important traits. Paddy of twenty two selected genetically diverse strains was evaluated for physical and optical characteristics. The moisture content of kernels of selected paddy cultivars ranged from 7.89 to 14.15 (DWB). Multivariate classification techniques were applied to determine the coherent physical and optical characteristics in order to reduce dimensionality problems. The properties heavily loaded on different components are dimensional with frictional in first principal component dimensional and optical in the second component and optical with gravimetric in the third components found responsive for major variations (79.36) in the Eigen analysis of data. The observed physical and optical characteristics differed significantly and found to be cultivar dependent which has paved the way for the classification of selected paddy cultivars on the basis of principal component and cluster analysis. Accordingly the dominating similar prominent physical and optical characters formed at least three verifiable distinct separate and coherent clusters of paddy cultivars indicating the usefulness multivariate analysis in identifying promising cultivars with the appropriateness in design and development of agricultural and processing equipment based on opto-physical characteristics.

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Abstract

Properties of materials play important role in the development of processing storing and handling equipment. Genetic diversity is one of the important tools to qualify genetic variability in both cross and self-pollinated crops. Through this study efforts were made to find out variability and relationship between paddy cultivars of various economically important traits. Paddy of twenty two selected genetically diverse strains was evaluated for physical and optical characteristics. The moisture content of kernels of selected paddy cultivars ranged from 7.89 to 14.15 (DWB). Multivariate classification techniques were applied to determine the coherent physical and optical characteristics in order to reduce dimensionality problems. The properties heavily loaded on different components are dimensional with frictional in first principal component dimensional and optical in the second component and optical with gravimetric in the third components found responsive for major variations (79.36) in the Eigen analysis of data. The observed physical and optical characteristics differed significantly and found to be cultivar dependent which has paved the way for the classification of selected paddy cultivars on the basis of principal component and cluster analysis. Accordingly the dominating similar prominent physical and optical characters formed at least three verifiable distinct separate and coherent clusters of paddy cultivars indicating the usefulness multivariate analysis in identifying promising cultivars with the appropriateness in design and development of agricultural and processing equipment based on opto-physical characteristics.

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Item Type:	Article
AGROVOC Term:	Paddy
AGROVOC Term:	Cultivars
AGROVOC Term:	Multivariate analysis
AGROVOC Term:	Cluster sampling
AGROVOC Term:	Chemicophysical properties
AGROVOC Term:	Friction coefficient
AGROVOC Term:	Grain crops
Depositing User:	Ms. Suzila Mohamad Kasim
Last Modified:	24 Apr 2025 06:27
URI:	http://webagris.upm.edu.my/id/eprint/21359

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