GENETIC VARIABILITY AND ASSOCIATION ANALYSIS IN QUANTITATIVE TRAITS OF OKRA.

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dc.contributor.advisorPaithankar, Dr. D. H.
dc.contributor.authorPATIL, KIRTIKUMAR RAVASAHEB.
dc.date.accessioned2021-03-12T07:57:17Z
dc.date.available2021-03-12T07:57:17Z
dc.date.issued2020-10-01
dc.descriptionThe present experiment was carried out during kharif season of 2019, at Instructional Farm, Department of Vegetable Science, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola (M.S.). The experiment was conducted in Randomized Block Design with three replications and twenty treatment. There were twenty genotypes procured from different research station, private company and university.en_US
dc.description.abstractThe present investigation was undertaken with the objectives to estimate the extent of genetic variability genotypic and phenotypic correlation coefficient with path analysis of yield component in selected available genotypes of okra. The observation were recorded on plant height (cm), number of primary branches per plant, number of nodes per plant, inter nodal length (cm), days to first flowering, days to 50% flowering, days to last harvesting, number of fruits per plant, weight of fruit (g), fruit length (cm), diameter of fruit(cm), yield per plant(g), moisture content (%), YVMV severity, yield per plot (kg), yield per hectare(q). Genotypic coefficient of variation found too high in yield per plant and noted low in days to first flowering. Similar trends was observed for phenotypic coefficient of variation indicating less influence of environment. Heritability estimates were higher for all the characters and high heritability coupled with high expected genetic advance over mean for characters number of primary branches, days to last harvesting and number of fruits per plant. The minimum differences in GCV and PCV were observed for the character fruit length, diameter of fruit. Yield per plant was Positively and significantly correlated with are observed among various characters Number of fruits per plant, Weight of fruit, Number of nodes per plant, Number of primary branches per plant. Based on direct and indirect effects of different yield components on yield it appears that it would be rewarding to lay stress on number of nodes per plant, Number of fruits per plant, Number of primary branches, and Fruit yield per plant will be useful in identifying the genotypes as parents for further improvement in okra. Genotypes like Phule Vimukta, AKO-10, PDKV Pragati could selected for further crop improvement in okra.en_US
dc.identifier.citationPATIL, KIRTIKUMAR RAVASAHEB. (2020). Genetic variability and association analysis in quantitative traits of okra. Department of Vegetable Science, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola. M. Sc. 2020. Print. xv, 70p. (Unpublished).en_US
dc.identifier.urihttps://krishikosh.egranth.ac.in/handle/1/5810162315
dc.keywordsOkra, Abelmoschus esculentus, Crop, Cultivar, Genetic variability, Heritability, Genetic advance, Phenotypic, Genotypic, Experimental design, Genotypes, Correlation coefficient, Path analysis, Genotypic correlation, Direct and indirect effects, Fruit yield.en_US
dc.language.isoEnglishen_US
dc.pagesxv, 70p.en_US
dc.publisherDr. Punjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra.en_US
dc.research.problemThe proposed study was planned to investigate extent of genetic variability among available genotypes of okra and to estimate genetic association in terms of genotypic and phenotypic correlation coefficient and path coefficient of yield component in okra.en_US
dc.subVegetable Scienceen_US
dc.themeThe present studies deals with the evaluation of the nature of genetic variability, heritability and character association of some quantitative traits in a cultivated variety of okra for possible improvement in quality of yield and yield components for enhance productivity and subsequently improve income generation to the farmers.en_US
dc.these.typeM.Scen_US
dc.titleGENETIC VARIABILITY AND ASSOCIATION ANALYSIS IN QUANTITATIVE TRAITS OF OKRA.en_US
dc.typeThesisen_US
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