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Banda University of Agriculture and Technology, Banda

Banda University of Agriculture and Technology, Banda has been established as a full-fledged State University, having unique honour of being the “First Agricultural University of Bundelkhand Region”. The University was notified vide Government Order No. 301/79-V-1-10-1 (Ka) 27-2009 Lucknow and established on 2nd March 2010 under Uttar Pradesh Agriculture University Act (Sanshodhan) 1958 Gazette-Adhiniyam 2010. Initially it was named as “Manyawar Shri Kanshiram Ji University of Agriculture and Technology, Banda”, which was changed as “Banda University of Agriculture and Technology, Banda” vide Uttar Pradesh Agriculture University Act (Sanshodhan) Adhiniyam, 2014, No. 1528(2)/LXXIX-V-1-14-1(Ka)-13-2014 dated 4th December 2014. The University has been established for the development of the agriculture and allied sectors in the Uttar Pradesh on the whole and Bundelkhand region in particular. It is committed to serve the Bundelkhand region with trinity concept, i.e. complete integration of teaching, research and extension for the development of agriculture and allied sectors in order to ensure food security and enhance socio-economic status of inhabitants. State Government of Uttar Pradesh has assigned the University with the responsibilities of (a) human resource generation and development, (b) generation and perfection of technologies, and (c) their dissemination to the farmers, orchardists and dairy farmers in the Chitrakoot Dham and Jhansi divisions. The Chirtrkoot Dham Division consists of four districts, namely Banda, Chitrakoot (Karvi), Mahoba and Hamirpur whereas Jhansi Division consists of Jhansi, Lalitpur and Jalaun (Orai) districts.

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  • ThesisItemOpen Access
    “STUDIES ON VARIABILITY AND GENETIC DIVERGENCE IN OKRA [Abelmoschus esculentus (L.) Moench]”
    (Banda University of Agriculture & Technology, Banda Uttar Pradesh, 2020-09-28) RAI, MRITUNJAY; SINGH, RAJESH KUMAR
    The present investigation entitled “Studies on variability and genetic divergence in okra [Abelmoschus esculentus (L.) Moench]” was conducted at vegetable research farm, BUAT, Banda during summer and rainy season-2019, to determine the extent of variability, estimate correlation coefficient among the important economic traits, find out the direct and indirect effects of yield and determine the information on genetic divergence within the genotypes for various traits. The experiment was conducted in RBD with three replications with 18 genotypes of okra. Observations were recorded on five randomly selected plants for the characters viz., days to 50% germination, plant height (cm), days to first flower, days to 50% flowering, days to first harvesting, number of nodes, leaf area (cm2), number of leaves, number of primary branches/plant, stem girth, node to first flower appear, number of fruits/plant, fruit length, fruit diameter, pedicle length, yield/plant (kg), yield/plot (kg), yield (q/ha). The analysis of variance indicated highly significant differences among the genotypes for all the characters during both the seasons. Based on the pre se performance of genotype Kashi Pragati found as most promising genotypes for fruit yield (q/ha) for summer season and genotype Hisar Naveen for rainy season. The estimates of PCV were higher than the corresponding GCV for all the traits. During summer season high PCV were observed for yield q/ha, yield/plot, yield/plant, while for rainy season high PCV were observed for days to 50% germination, number of branches at final harvest and pedicle length. Whereas, the estimates of GCV for summer season were high for yield q/ha, yield/plot and yield/plant, while for rainy season high GCV were observed for days to 50% germination and pedicle length. High heritability coupled with high genetic advance was observed for yield (q/ha), yield/plot, yield/plant, for summer season. Whereas, for rainy season high heritability coupled with high genetic advance was observed for leaf area at 60 DAS, leaf area at 30 DAS, plant height at 90 DAS, pedicle length. During summer and rainy season, the magnitude of genotypic correlation has been found higher than the corresponding phenotypic correlation for all the traits that indicated inherent association among various characters. The fruit yield/plant showed highly strong positive association with number of fruits/plants followed by plant height at 90 DAS, leaf area at 90 DAS, number of nodes at 30 DAS, number of branches at final harvest, for summer season. Whereas, for rainy season fruit yield/plant showed highly strong positive association with plant height at 60 DAS followed by stem girth at 30 DAS, number of nodes at 60 DAS, plant height at 30 DAS, plant height at 90 DAS, number of nodes at 30 DAS and number of fruits/plants. The genotypic path coefficient analysis of different yield contributing and associated traits on fruit yield per plant revealed that traits viz., leaf area at 60 DAS had the highest positive direct effect on fruit yield per plant followed by number of fruits per plant, number of leaves 90 DAS, days taken to first harvest, days taken to 50% germination, for summer season. Whereas, for rainy season leaf area at 60 DAS had the highest positive direct effect followed by days taken to first flower, number of nodes at 90 DAS, plant height at 90 DAS, pedicle length, days taken to 50% flowering. It indicated that possibility of effective improvement on okra fruit yield through these components could be achieved. The highest inter cluster divergence was observed between genotypes of cluster I and V for summer season whereas, for rainy season highest inter cluster divergence was observed between genotypes of cluster III and V. Hence, the crosses between the genotypes of these clusters can be tried for improvement of yield.