International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 6, Issue:10, October, 2017

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2017.6(10): 166-173

Principal Component Analysis of Chickpea (Cicer arietinum L.) Germplasm
Renuka Shivwanshi* and Anita Babbar
Department of Plant Breeding and Genetics, College of Agriculture, J.N.K.V.V. Jabalpur, (M.P.) 482004, India
*Corresponding author

In order to define selection criteria 434 chickpea genotypes were evaluated under rain-fed conditions during 2015-16 rabi season. Selection of genotypes and traits based on Principal Component analysis. Out of thirteen PCS’s identified first 8 PC accounted for 77.68% of the total variation. The PC1 explained 26.57 % of total variation. While PC2, PC3, PC4, PC5, PC6, PC7 and PC8 exhibited 13.58%, 8.45%, 6.54%, 5.48%, 6.03, 4.37 and 3.66% variability, respectively. Genotype IC 84037 was commonly found in PC 1, PC3, PC 6 and PC7 followed by IC 84037 in PC 1, PC 3, PC 6 and PC 7, IC 83812 in PC 1, PC 2, PC 3, and PC 7, IC 83372 in PC 1, PC 3, PC 5, and PC 7, IC83592 in PC 1, PC 4, PC 5 and PC 7, similar type of genotypes on a common principal component permitting to designate them as seed yield factors. These genotypes may further be utilized in breeding programmes for improving seed yield these genotypes can be considered an ideotype breeding material for selection of traits viz more total number of seed per plant, more effective pods per plant and high biological yield per plant and further utilization in precise breeding programme. The maximum PC value was found in genotype IC 84037 (9.79) followed by, IC 83812(8.46), EC 489919(7.70), IC 83387 (6.42), IC 83813 (6.24). This result has been suggested that these genotypes would be of practical value to chickpea breeders in identifying the genotype with desired trait for utilization in breeding program for genetic improvement.

Keywords: Chickpea, Eigen value, Principal component Analysis.

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How to cite this article:

Renuka Shivwanshi and Anita Babbar. 2017. Principal Component Analysis of Chickpea (Cicer arietinum L.) Germpasm.Int.J.Curr.Microbiol.App.Sci. 6(10): 166-173. doi:
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.