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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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20204
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Subject: Genetics and Plant Breeding × End date: 2020 × Start date: 2020 × Type: Thesis ×
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Now showing 1 - 4 of 4
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    ThesisItemOpen Access
    GENETIC ANALYSIS OF YIELD AND ITS ATTRIBUTING TRAITS IN LENTIL (Lens culinaris Medik.)
    (Banda University of Agriculture & Technology, Banda Uttar Pradesh, 2020-11-19) Kishor, Ram
    Lentil grains are rich source of protein containing about 26% protein and therefore are considered as poor man’s meat, and contains high amount of vitamins, minerals, pre-biotic carbohydrates and rich source of Fe and Zn. The present investigation was carried out at P.G. Research farm of College of Agriculture, Banda University of Agriculture and Technology, Banda, Uttar Pradesh, India in augmented block design during rabi 2019-2020. The experimental materials comprised eighty four genotypes of lentil containing exotic as well as indigenous germplasm lines of lentil including four check varieties viz., DPL-62, KML-320, L4076 and IPL316. Analysis of variance showed significant difference for all the traits under study except harvest index while, variation due to genotypes were significant for all the traits except plant height, number of seeds per pod and harvest index. The maximum value of PCV and GCV were found for the traits biological yield per plant (45.38% and 35.97%, respectively) while minimum for days to maturity (2.28% and 1.96%, respectively). The magnitude of high heritability in broad sense was found for days to maturity (73.99%) followed by 100-seed weight (69.19) and high genetic advance as percent of mean was observed for biological yield per plant (58.74%). Traits such as number of pods per plant, biological yield, seed index, number of secondary branches, harvest index and plant height showed highest positive significant correlation with seed yield. Path coefficient analysis revealed that the highest positive direct effect on seed yield per plant exerted by number of pod per plant, followed by seed weight while other traits contributing considerably medium direct effect biological yield, harvest index, primary branches per plant, days to 50% flowering, days to maturity and secondary branches per plant. In cluster analysis, eighty-four germplasm lines were grouped into four different non-overlapping clusters in which cluster II had the maximum number of genotypes (33 genotypes) followed by cluster I (24 genotypes), cluster III (15 genotypes) and cluster IV (12 genotypes). The first five principal components showed 76.22% of the total variation among the tested genotypes. The genotypes which showed highest genetic diversity can be used as a parent in hybridization program. Early flowering was found in genotype KLB-115 and genotypes IPLS-09-33, L-112-16, ILL-7723, KLB114, LEE-18-165 and EC-522160 had the highest seed yield.
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    ThesisItemOpen Access
    Characterization of germplasm and inter-relationship studies based on agro-morphological traits in chickpea (Cicer arietinum L.)
    (Banda University of Agriculture & Technology, Banda Uttar Pradesh, 2020-10-20) KUMAR, AMIT; Kumar, Hitesh
    Chickpea (Cicer arietinum L.) is the second most valuable food legume crop which provides high amount of nutrition to human population. The present investigation was carried out in augmented design to study genetic diversity and characterization of 90 germplasm lines with four checks using 17 quantitative and 13 qualitative characters at Banda University of Agriculture and Technology, Banda, Uttar Pradesh, India, during Rabi 2018-19. The ANOVA exhibited significant difference for all the traits studies except early plant vigor, plant height, height of first pod, number of primary branches, number of secondary branches, number of pod per plant, number of seeds per pod among the genotypes. The maximum GCV and PCV was estimated for height of first pod (35.28 and 39.29), seed yield per plant (29.77 and 40.32) and number of primary branches (25.63 and 31.44). The greater heritability with genetic advance was estimated in seed index (96.61%) while high genetic advance percent mean was measured for height of first pod (65.27%). The correlation analysis revealed the highest positive and significant association of seed yield with number of seeds per pod, number of pods per plant, seed index, number of secondary branches, number of primary branches and height of first pod. Path coefficient analysis revealed that seed yield per plot had the highest positive and direct effect on the number of seeds per pod, number of pods per plant, seed index, number of secondary branches. The genetic diversity was estimated through D2 analysis which grouped genotypes into 8 clusters with different number in each. The maximum number of genotypes (32) were present in cluster II followed by cluster I (28), cluster III (12), cluster VI (8), cluster V (7), cluster VII (3) and cluster IV and VIII had only one genotype. Cluster VII and IV showed maximum intercluster distance (179096.9) indicating highest genetic diversity among the genotypes of these clusters. Principal component analysis transformed recorded parameters into three variables (PCs) which contributes 97.78 percent of the total variation. Further, PCA revealed the maximum contribution of days to flower initiation to the principal component first (92.96%). The genotype ICVT 18116, ICVT 181111 and ICVT 181115 were matured in 110 days. The genotypes ICVT 181103, ICVT 181102, RLBG-2, BG 5030, ICVT 181111, ICVT 181104, ICVT 181109, GNG 2372, KGD 11-1 and so many more showed highest yield over all four checks. The genotypes identified for desirable traits and showing genetic distance may utilize as a parental lines for hybridization program in the improvement of chickpea grain yield and its contributing trait.
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    ThesisItemOpen Access
    GENETIC ANALYSIS OF QUANTITATIVE TRAITS IN FIELD PEA
    (Banda University of Agriculture & Technology, Banda Uttar Pradesh, 2020-10-14) PRATAP, VIJAY; Sharma, Vijay
    The present investigation was carried out in augmented block design using eighty germplasm lines of field pea with four checks (IPF 4-9, Adarsh, Ambika and IPF 10-12) at P.G. Research Farm of College of Agriculture, BUAT, Banda during rabi season 2019-20. The data were recorded on thirteen quantitative characters for the estimation of estimation of genetic parameters, character association studies and genetic diversity. Analysis of variance showed existence of sufficient variability for 13 characters among test genotypes. Maximum amount of PCV and GCV observed for traits such as seed yield plant-1, biological yield plant-1 and effective nodes plant-1. High estimates of heritability with high GAM found for seed yield and harvest index, clearly indicates that above traits governed by additive effect of gene and for these selection may be effective. Correlation analysis revealed that seed yield plant-1 showed strong positive inter-relationship with nodes plant-1, effective pods plant-1, effective nodes plant-1, harvest index and biological yield. Path co-efficient analysis revealed that biological yield, harvest index and seed pod-1 exerted highest direct effect on seed yield in positive direction, whereas highly positive indirect effect exhibited by effective pods plant-1, branches lant-1, effective nodes plant-1, seeds pod-1, plant height, nodes plant-1, harvest index and pod length via biological yield plant-1. Hence from path analysis, it concluded that harvest index, seeds pod-1 and effective nodes plant-1 contributed to seed yield directly as well as indirectly. Eighty-four germplasms (including checks) were grouped into 4 distinct clusters. This represents the presence of high genetic diversity in the evaluated set of germplasm. Between cluster II and III, highest inter-cluster distance was observed, indicates the maximum diversity among genotypes of these clusters. Differences were observed for cluster mean among different distinct clusters for all the 13 characters. Therefore, crosses between members of cluster having high cluster mean for important characters coupled with high inter-cluster distances between them are recommended for getting high heterosis as well as transgressive.
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    ThesisItemOpen Access
    MULTIVARIATE ANALYSIS FOR DECIPHERING GENETIC VARIATION IN MUNGBEAN (Vigna radiata L. Wilczek)
    (Banda University of Agriculture & Technology, Banda-210001, Uttar Pradesh, India, 2020-10-17) MISHRA, ANUJ; Kumar, Mukul
    The present investigation entitled “Multivariate analysis for deciphering genetic variation in mungbean (Vigna radiata L. Wilczek)” was conducted at agriculture farm, BUAT, Banda during Kharif 2019 to determine the variation for nine qualitative traits viz; anthocyanin pigmentation, plant type, growth habit, leaf shape, pod curvature, pod colour, seed size, seed colourand seed lusture. The extent of variability, correlation coefficient among the important economic traits, direct and indirect effects of yieldcontributing traits and genetic divergence amongthe genotypes weredetermine for vegetative period, reproductive period, plant height, number of branches per plant, number of clusters per plant, number of pods per cluster, number of pods per plant, pod length, number of seeds per pod, seed index, biological yield per plant, harvest index andseedyield per plant. The experiment was conducted in augmented design with 205genotypes including five checks. Among all the genotypes the considerable amount of morphological variability was present for plant type, pod curvature, mature pod colour, seed size and seed lusture and these traits may be exploited in breeding programme for qualitative purpose in mungbean. The three genotypes namely, Yellow selection,BMS 18-7 and Sonamung 1-2 was identified as yellow seeded and these can be used for improvement of phytic acid content. The analysis of variance revealed significant mean sum of squares due to genotypes for all traits except for number of branches per plant. Based on significant per se performance, genotype IPM 2-19, AKM/NP/8/9, PAU 911, ML 1299, IC 296672, Taram18 and SML 1815 can be used for the improvement of seed yield along with other traits. The high estimates of GCV, PCV, heritability broad sense along with high genetic advance over mean were observed for number of branches per plant, number of clusters per plant, number of pods per cluster, number of pods per plant and seed yield per plant. This clearly indicates preponderance of additive gene action with low environmental influence for the determination of these characters and could be effective in phenotypic selection. The present study indicated that seed yield per plant had not only significant and positive correlation with harvest index, biological yield per plant, number of pods per plant and number of pods per cluster but also highly influenced by these traits both directly and indirectly. It is therefore, suggested that selection based on harvest index, biological yield per plant, number of pods per plant and number of pods per cluster may result in improvement of seed yield in mungbean. Principal component analysis showed that vegetative period, number of clusters per plant, number of pods per cluster, number of pods per plant and harvest index was the principal discriminatory characteristics. Hence, it is suggested to consider these traits as parameter in selecting genetically diverse parents for hybridization programme. All 205 genotypes (including checks) were grouped into five clusters. On the basis of inter cluster distance and per se performance of genotypes across the traits with desirable direction, the hybridization programme of genotypes IPM 2-3, Selection 18-5, Asha mung and BMS 18-11 with genotypes IPM 2-19, AKM/NP/8/9, Taram 18, ML 1299, Selection 18-3, IC 296672 and MH 805 and with genotypes PAU 911, SML 1455, CO-5 and Brazil mung may be useful for generating materials for improvement of yield and most of its important traits.