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Selection of the parental combinations through multivariate analysis in dessert banana genotypes for hybridization programme

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dc.contributor.author Munsi, Partha Sarathi
dc.contributor.author Swain, Saudamini
dc.date.accessioned 2022-04-01T08:06:46Z
dc.date.available 2022-04-01T08:06:46Z
dc.date.issued 2017-02
dc.identifier.citation IJAEB: 10(1): 73-87, February 2017 en_US
dc.identifier.issn 2230-732X.
dc.identifier.uri https://vbudspace.lsdiscovery.in/xmlui/handle/123456789/5375
dc.description.abstract In the present investigation 22 dessert banana genotypes were evaluated under coastal plain zone of Odisha during the year 2013-14 and 2104-15 in a randomized block design with three replications. Observations were recorded on growth parameters and yield attributing traits. Analysis of variance indicated significant differences among the genotypes in respect of all the growth parameters and yield attributing traits. The PCV and GCV (phenotypic and genotypic coefficient variation) were higher for finger weight, bunch weight and number of fingers. Bunch girth and finger weight had very high broad sense heritability (h2 ). Finger weight recorded the highest genetic advance followed by bunch weight. All the genotypes, on the basis of total variability were grouped into twelve distinct clusters. Maximum number of cultivars was accommodated in Cluster 1 followed by Cluster 7. Inter cluster distance was the highest between cluster 12 and cluster 7. Bunch girth made the maximum contribution to divergence (45.02 %) followed by finger weight (39.83 %). en_US
dc.language.iso en en_US
dc.publisher New Delhi Publishers en_US
dc.relation.ispartofseries Vol. 10;No. 1
dc.subject Banana, PCV, GCV, heritability, genetic advance, PCA, D2 analysis en_US
dc.title Selection of the parental combinations through multivariate analysis in dessert banana genotypes for hybridization programme en_US
dc.title.alternative International Journal of Agriculture, Environment and Biotechnology en_US
dc.type Article en_US


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