APPLICATION OF MULTIVARIATE TECHNIQUES FOR SELECTION OF COTTON GENOTYPES USING BIOMETRICAL CHARACTERS

Simple item page
dc.contributor.advisorDr. D. J. Parmar
dc.contributor.authorBabariya Jay G.
dc.date.accessioned2023-04-03T11:05:30Z
dc.date.available2023-04-03T11:05:30Z
dc.date.issued2021
dc.description.abstractThe data on eleven different biometrical characters of thirty genotypes of cotton (Gossypium hirsutum and Gossypium barbadense) were collected from RRS, AAU, Anand during kharif season of the year 2020 for the present study entitled “Application of multivariate techniques for selection of cotton genotypes using biometrical characters”. The experiment was conducted in randomized complete block design with three replications. The data on biometrical characters days to flowering, days to 50% boll bursting, plant height, number of monopodia per plant, number of sympodia per plant, number of bolls per plant, boll weight, ginning percentage, seed index, lint index and seed cotton yield per plant were subjected to ANOVA, multiple regression, phenotypic correlation, path analysis, principal component analysis, factor analysis and selection index. The present study was carried out to study the multivariate techniques for selection of cotton genotypes and to assess the biometrical characters for selection of genotypes of cotton.en_US
dc.identifier.urihttps://krishikosh.egranth.ac.in/handle/1/5810196037
dc.keywordsMULTIVARIATE, TECHNIQUES, COTTON, GENOTYPES, BIOMETRICAL CHARACTERSen_US
dc.language.isoEnglishen_US
dc.publisherDEPARTMENT OF AGICULTURAL SATISTICS B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANANDen_US
dc.subAgricultural Statistics and Informaticsen_US
dc.themeAPPLICATION OF MULTIVARIATE TECHNIQUES FOR SELECTION OF COTTON GENOTYPES USING BIOMETRICAL CHARACTERSen_US
dc.these.typeM.Scen_US
dc.titleAPPLICATION OF MULTIVARIATE TECHNIQUES FOR SELECTION OF COTTON GENOTYPES USING BIOMETRICAL CHARACTERSen_US
dc.typeThesisen_US
Files
Collections
Theses