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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

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

Int.J.Curr.Microbiol.App.Sci.2020.9(5): 1192-1196
DOI: https://doi.org/10.20546/ijcmas.2020.905.132


Genetic Characterization of Indian mustard (Brassica juncea L.) Germplasm for Quantitative Traits through Principal Component Analysis
Neelam Shekhawat* and Kartar Singh
ICAR-National Bureau of Plant Genetic Resources, Regional Station, Jodhpur (Rajasthan)-342005, India
*Corresponding author
Abstract:

Information on the extent of genetic variability among agronomically important traits is a prerequisite to plan an appropriate plant breeding method. Thirty-five Indian mustard germplasm accessions from ICAR-NBPGR, RS, Jodhpur were evaluated for 11 quantitative characters for determining the pattern of variation, relationship among individuals and their characteristics. Principal component analysis was used to know the variation and to estimate the relative contribution of various traits towards total variability. Results showed that there are five axes which accounted for 74.87% cumulative variance of the total variability for eleven agro-morphological traits. PC1 exhibited 25.32% of the total variability contributed by the traits like days to 50% flowering, days to maturity, plant height and siliqua length. PC2 showed 18.71% of the total variation and the traits viz., number of secondary branches, number of siliqua per plant, test weight and seed yield per plant contribute to the variation. PC3 had the contribution from the characters like number of primary branches per plant, length of main branch and number of seeds per siliqua which contributed 13.63% of the total variation. Days to 50% maturity, number of secondary branches per plant, number of siliqua per plant and test weight had contributed 8.91% of the total variation in PC4. PC5 exhibited 8.30% of the total variability. Thus, the results revealed vast genetic variability exists in the germplasm accessions which may be useful as source for variable characters in Indian mustard improvement.


Keywords: Indian mustard, Multivariate analysis, Principal Component analysis
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How to cite this article:

Neelam Shekhawat and Kartar Singh. 2020. Genetic Characterization of Indian mustard (Brassica juncea L.) Germplasm for Quantitative Traits through Principal Component Analysis.Int.J.Curr.Microbiol.App.Sci. 9(5): 1192-1196. doi: https://doi.org/10.20546/ijcmas.2020.905.132