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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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20203
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Subject: Vegetable Science × End date: 2020 × Start date: 2020 ×
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Now showing 1 - 3 of 3
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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.
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    ThesisItemOpen Access
    STUDIES ON GENETIC PARAMETERS IN COWPEA [Vigna unguiculata (L.) Walp.] UNDER DIFFERENT GROWING SEASONS
    (Banda University of Agriculture & Technology, Banda Uttar Pradesh, 2020-10-29) SINGH, SHIVAM; Dwivedi, S. V.
    The present investigation entitled “Studies on genetic parameters in cowpea [Vigna unguiculata (L.) Walp.] under different growing seasons” was carried out with 15 varieties with 3 replications in randomized block design at vegetable research farm. BUAT, Banda during summer and kharif season in the year 2019. To determine the extent of variability and correlation coefficient among the important economic traits, find out the direct and indirect effects of yield and drought tolerance indices. Observations were recorded on five randomly selected plants for these characters viz., days to first flowering, days to 50 % flowering, days to first pod picking, days to final pod picking, plant height (cm), number of branches per plant, specific leaf area (cm2), pod diameter (cm), pod length (cm), number of pods per plant, number of seeds per pod and pod yield per plant (g). Based on the performance of genotypes Kashi Nidhi followed by Kashi Unnati and Kashi Gauri were found as most promising genotypes for pod yield per plant (g) in summer season whereas genotypes Kashi Kanchan followed by Swarn Mukut and Swarn Suphala in kharif season. The estimates of PCV were higher than the corresponding GCV for all the traits. During summer season the GCV and PCV were high for various characters viz. plant height, pod yield per plant (g), number of pods per plant, while for kharif season high they were recorded for plant height and specific leaf area. During the summer season high heritability was observed for pod diameter and specific leaf area. During the kharif season high heritability was recorded for specific leaf area and plant height. During summer and kharif season, the magnitude of genotypic correlation has been found higher than the corresponding phenotypic correlation for all the traits that indicate inherent association among various characters. During summer season the pod yield per plant showed highly strong positive association with number of seeds per pod followed by pod diameter and pod length. In the kharif season pod yield per plant showed highly strong positive association with number of seeds per pod followed by number of pods per plant and specific leaf area. The genotypic path coefficient analysis for pod yield and its contributing traits for summer season expressed that number of pods per plant was observed highest positive direct effect followed by pod length, plant height, specific leaf area and days to first flowering. In kharif season specific leaf area was observed highest positive direct effect followed by number of branches per plant and plant height. Analysis of data related to heat stress indices revealed that Arka Garima and Arka Suman were found highly susceptible varieties and Kashi Shyamal, Kashi Nidhi, Kashi Kanchan, Kashi Unnati, Swarn Harita and Swarn Suphala were found high heat stress tolerant varieties.
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    ThesisItemOpen Access
    STUDIES ON GENETIC VARIABILITY IN SPONGE GOURD [Luffa cylindrica (L.) Roem.]
    (Banda University of Agriculture & Technology, Banda Uttar Pradesh, 2020-10-08) Yadav, Vishal; Mishra, Akhilesh Chandra
    Present investigation entitled "Studies on genetic variability in sponge gourd (Lufja cylindrica (L.) Roem.)" was undertaken at the Vegetable Research Farm, Department of Vegetable Science of Banda University of Agriculture and Technology, Banda during spring summer and rainy seasons, 2019. The experimental material comprised of 16 sponge gourd genotypes. Crops were raised in randomized block design with three replications. Data were recorded in each plot for 19 plant growth and fruit traits viz., days to 50% germination, days to first male flower emergence (days after sowing), days to first female flower emergence (days after sowing), node number of first male flower, node number of first female flower, intermodal length (cm), number of leaves per plant, leaf area cm2), number of branches, male/female ratio, days to first picking (days after sowing), fruit length (cm), fruit diameter (cm), specific gravity of fruits (g/cm"), total soluble solids (%), dry matter content (%), fruit weight (g), number of fruits per plant and fruit yield per plant (kg). On the basis of results over the two seasons, it was indicated that Kashi Divya, BUAT SG181, Pusa Sneha, CHSG-2 and Pant Tori-1 were promising genotypes with higher values for more than one desirable characters. High GCV & PCV, heritability and genetic advance as percentage of mean was estimated for number of branches, fruit diameter, number of fruits per plant and fruit yield per plant across the spring summer and rainy seasons. Correlation studies revealed that fruit yield per plant was positively and significantly correlated with number of fruits per plant, fruit weight, fruit length and number branches at genotypic and phenotypic levels over spring summer and rainy seasons. Path coefficient analysis indicated that number of fruits per plant had consistent positive and direct effect on fruit yield per plant at genotypic and phenotypic levels whereas, specific gravity of fruits and node number of first female flower exhibited high positive and direct effect at phenotypic level only across the seasons. Fruit weight showed consistent positive and direct effect on fruit yield per plant at genotypic level. Therefore, number of fruits per plant, node number of first female flower, fruit weight, male/female ratio and specific gravity of fruits should be considered in selection criteria for improving fruit yield per plant. On the basis of high inter cluster distance and cluster mean values, Kashi Divya x CHSG-1, Kashi Divya x KSG-14, Kashi Divya x BUAT SG-1, Kashi Divya x Pusa Sneha, BUAT SG18-2 x CHSG-1, BUAT SG18-2 x PSG-9 & BUAT SG18-2 x Kashi Shreya have been found as most divergent genotype combinations with high cluster means for most of desirable traits in sponge gourd.