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 study on diversity of pummelo (Citrus grandis Osbeck) was undertaken to assess the variability of collected genotypes from fourteen district of West Bengal in the year of 2016-17. One hundred twenty four genotypes were selected based on assessment of traits provided by the farmers (fruit bearing frequency, maturity, fruit yield) as well as in-situ observation of trees and fruit’s characters with an objective for selecting genotypes from divergent clusters and utilizing them in a hybridization programme is likely to produce desirable segregates in subsequent generations that may lead to desirable improvement in pummelo for quality traits. The analytical works were conducted in the laboratory of Fruits Science of Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, Nadia, West Bengal. The data obtained were analyzed by different method like- Hierarchical cluster analysis, descriptive analysis, Principal Component Analysis and Biplot. The genotypes were grouped based on ten core quantitative characters of fruits into fifty six clusters. It is observed that all the clusters were distant each other and among them cluster 49 was the largest one consisting of 55 pummelo genotypes followed by cluster 43 and cluster 52 with three genotypes. The co-efficient of variation was high (>20) for five measured or quantitative characters like fruit weight, fruit rind thickness, seed weight, acidity, and ascorbic acid. Principal component analysis of ten core quantitative characters of pummelo showed four components with cumulative variance of 69.357 per cent. Highly loaded characters (>0.5), obtained from PCA for quantitative variables in the first two components, were fruit weight, fruit diameter, fruit length, rind thickness, seed number and seed weight. So, considering all the characters it may be concluded that NPC2, NDC5, NPC12, HWC3, NPC11, PRC4, HGC1, NDC4, NPC1, BKC12, NPC10, HWC5, PMC1, CBC8, BKC8, BWC7, NPC12, PRC7 etc. can be utilized in genotype selection or crop improvement programme.
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