National Academy of Agricultural Sciences (NAAS)
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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 |
The present investigation entitled “Principal component analysis in rainfed green gram genotypes [Vigna radiata (L.) Wilczek]” was carried out to determine the relationship and genetic diversity among 16 green gram genotypes using principal component analysis for various characters during Kharif, 2019 at Agricultural Research Station, Fatehpur - Shekhawati, Sikar (Rajasthan) under rainfed conduction. Principal component analysis (PCA) depicted that three components (PC1 to PC3) accounted for about more than 90% of the total variation for different characters. Out of total principal components retained V1, V2, V3 and V4 with values of 39.15%, 25.29%, 15.72% and 10.79 respectively. PCA based clustering showed that genotypes fall in to five different clusters showed genetic diversity between different genotypes. The Genotypes MSJ-118 and RMG-1094 which represents the mono genotypic cluster signifies that it could be the most diverse from other genotypes and it would be the suitable candidate for hybridization with genotypes present in other clusters to tailor the agriculturally important characters and ultimately to enhance the seed yield in green gram. Thus the results of principal component analysis revealed, wide genetic variability exists in these green gram genotypes. Hence these could be utilized as parental material in future breeding programme for green gram improvement.
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