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2020•International Journal of Current Microbiology and Applied SciencesOpen access

Principal Component Analysis in Rabi Sorghum [Sorghum bicolor (L.) Moench] for Yield Attributing Traits

V. Divya, D. P. B. Jyothula, B. Vijaya lakshmi, Shaik Nafeez Umar

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Abstract

An experiment was done to study the principal component analysis in rabi sorghum [Sorghum bicolor (L.) Moench] with a set of fifty genotypes of sorghum grown in Randomized Block Design with two replications for ten traits viz., days to 50% flowering, plant height (cm), total number of leaves per plant, leaf length (cm), leaf width(cm), ear head length(cm),ear head width(cm),100 grain weight(g), grain yield per plant(g) and harvest index(%). Principal component analysis revealed four principal components which explained about 68.60 % of variability. PC 1 loaded with 26.62 % maximum variability of total variation, PC 2 explained 17.76 % of total phenotypic variability and PC 3 had contributed 12.10 % and PC 4 loaded with 11.66% of total variation.

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An experiment was done to study the principal component analysis in rabi sorghum [Sorghum bicolor (L.) Moench] with a set of fifty genotypes of sorghum grown in Randomized Block Design with two replications for ten traits viz., days to 50% flowering, plant height (cm), total number of leaves per plant, leaf length (cm), leaf width(cm), ear head length(cm),ear head width(cm),100 grain weight(g), grain yield per plant(g) and harvest index(%). Principal component analysis revealed four principal components which explained about 68.60 % of variability. PC 1 loaded with 26.62 % maximum variability of total variation, PC 2 explained 17.76 % of total phenotypic variability and PC 3 had contributed 12.10 % and PC 4 loaded with 11.66% of total variation.

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Available abstract

An experiment was done to study the principal component analysis in rabi sorghum [Sorghum bicolor (L.) Moench] with a set of fifty genotypes of sorghum grown in Randomized Block Design with two replications for ten traits viz., days to 50% flowering, plant height (cm), total number of leaves per plant, leaf length (cm), leaf width(cm), ear head length(cm),ear head width(cm),100 grain weight(g), grain yield per plant(g) and harvest index(%). Principal component analysis revealed four principal components which explained about 68.60 % of variability. PC 1 loaded with 26.62 % maximum variability of total variation, PC 2 explained 17.76 % of total phenotypic variability and PC 3 had contributed 12.10 % and PC 4 loaded with 11.66% of total variation.

Key concepts: Sorghum, Randomized block design, Sorghum bicolor, Principal component analysis, Sweet sorghum, Grain yield, Biology, Yield (engineering)

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