Loading...
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.
Browse
8 results
Search Results
ThesisItem Open Access EVALUATION OF LINSEED (Linum usitatissimum L.) GENOTYPES FOR DROUGHT TOLERANCE(Banda University of Agriculture & Technology, Banda-210001, Uttar Pradesh, India, 2021-10-30) Kumar, Sandip; Kumar, MukulThe present study consisting 50 linseed genotypes were evaluated in randomized complete block design with three replications in two environments during Rabi, 2020-21. The first environment was normal irrigated but in second environment, the irrigation was withhold for 30 days in between from 45 days (pre flowering) to 75 days after sowing to imposed water deficit or stressed or drought condition. The genotypes were showed significant variances for all tested traits under both the environments. The mean squares of environments explained most of the total variations for all the traits. The two-way interaction effects of genotype x environments were found to be significant for all the characters except days to 50% flowering and days to maturity. The considerable morphological diversity has been found especially in anther colour, petal venation colour, size of corolla, flower shape, petal and stamen filament colour. Among tolerance indices, HM, YI and STI were more useful indices for prediction of potential yield in both water deficit and non-stress condition. The selection of suitable genotypes considering number of capsules per plant, number of seeds per capsule and biological yield per plant along with their yield performance may be useful when breeding for broad adaptation of linseed for cultivation under drought conditions. On the basis of mean performance of tolerance indices and their ranking, the genotypes, GP-1064, GP-955, GP-820, LMS-16-1-2, GP-807 and LMS-17-1-12 could be identified as tolerant to water stress condition. It is pertinent to reveal that the yield of each genotype equal or above the mean yield of respective normal and stress condition should be considered while ranking and classifying the genotypes on the basis of drought indices.ThesisItem Open Access CHARACTER ASSOCIATION AND GENETIC DIVERGENCE STUDIES FOR YIELD AND YIELD RELATED TRAITS IN PIGEON PEA [Cajanus cajan (L.) Millspaugh](Banda University of Agriculture & Technology, Banda-210001, Uttar Pradesh, India, 2021-10-30) KUMAR, ANUJThe 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-II during kharif 2020-21.The experimental materials comprised of seventy-three genotypes of pigeon pea including three check varieties viz., NDA-1, Bahar and Pant Arhar-291. Analysis of variance showed significant difference for all the traits under study except number of seeds per pod and pod length. The maximum value of PCV were found for the traits days to maturity (32.53%) and days to 50% flowering (25.65%) and PCV minimum for number of seeds per pods (3.17%). Maximum GCV was found for the traits days to maturity (32.38%) and days to 50% flowering (25.35%) and minimum GCV for number of seeds per pods (1.42%). The magnitude of high heritability in broad sense was found for days to 50% flowering (97.62%) followed by biological yield per plant (94.60%) and seed yield per plant (93.52%) and high genetic advance as per cent of mean was observed for days to 50% flowering (51.59%) followed by days to maturity (39.59%). Traits such as days to 50% flowering, days to maturity, number of primary branches per plant, number of secondary branches per plant, number of pods per plant, number of seeds per pod, 100-seed weight, biological yield per plant, harvest index, shelling per cent showed highest positive significant correlation with seed yield at Phenotypic and Genotypic level. Path coefficient analysis revealed that the highest positive direct effect on seed yield per plant exerted by harvest index, days to maturity, 100-seed weight, number of primary branches per plant, number of secondary branches per plant and pod length at Phenotypic and Genotypic path correlation coefficient direct effect on seed yield. In cluster analysis, seventy-three germplasm lines were grouped into five different non-overlapping clusters in which cluster I had the maximum number of genotypes (25) followed by cluster III (19 genotypes), cluster II (14 genotypes), cluster V (09 genotypes) and cluster IV (06 genotypes). The first five principal components showed 67.893% 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 IPA-10W-8-1, IPA-12W-16, IPAM-15-2, IPAB-11-20-2, IPA-12W-46 and genotypes IPA-12W-3 and IPAB-10-13 had the highest seed yield per plant.ThesisItem Open Access EVALUATION OF FIELD PEA (Pisum sativum var. arvense L.) GERMPLASM FOR TERMINAL HEAT TOLERANCE(Banda University of Agriculture & Technology, Banda-210001, Uttar Pradesh, India, 2021-10-30) SEEPAL, YASHWANT SINGH; Sharma, VijayThe present study was conducted at P.G. research block of college of agriculture, Banda University of Agriculture and Technology, Banda during rabi season of 2020-2021. The investigation data was recorded under two environment conditions viz. timely sown (E1) and late sown (E2) for eleven morpho-physiological characters for estimation of analysis of variance, correlation coefficient, path coefficient, heat susceptibility index, genetic diversity and principal component analysis. Analysis of variance showed the existing genetic variability among the 143 genotypes of field pea. A wide range of estimates in the mean performance of genotypes was found for all characters under analysis in non-stress and stress condition. Most desirable field pea genotypes identified for eleven characters under heat stress condition for seed yield per plant was EC-341743, P-1679, Shikha, P-1384-3, P-179. The heat susceptibility index (HSI) measures the reduced performance of test genotypes under stress (heat stress) conditions and used to identify the heat tolerant genotype. The genotypes having HSI ≤ 0.5 were considered as highly tolerant to heat stress, HSI 0.5 to 0.75 were heat tolerant, HSI 0.76 to 1.0 were considered as moderately heat tolerant and HIS > 1.00 were considered as susceptible. An overall appraisal revealed that three genotypes viz. P-1384-3, P-1531 and P-1384-1 for high tolerance against terminal heat. Correlation analysis revealed that for non-stress and stress environment seed yield per plant showed high significance and positive correlation with effective pods per plant, biological yield per plant and plant height. In addition to above traits, 100-seed weight and pollen viability also showed significant and positive correlation with seed yield in stress environment. These characters were also mutually correlated with each other in both environmental conditions. This relationship suggested that selection for high effective pods per plant, biological yield per plant, plant height, 100-seed weight and pollen viability are desirable under heat stress condition in increasing the yield. Path coefficient analysis revealed that in timely sown (E1) environment effective pods per plant and biological yield per plant; and in late sown (E2) environment effective pods per plant, biological yield per plant, 100-seed weight, plant height and pollen viability contributed to seed yield directly as well as indirectly. Therefore, due emphasis should be placed on these characters while formulating selection strategy in field pea for developing high yielding varieties with improved heat tolerance. The D2 cluster analysis grouped 143 genotypes into 05 multi-genotypic clusters in both non-stress or stress environment. The distribution of genotypes in different environment was different suggesting thereby that change of environment were effective in affecting the performance of genotypes. The heat tolerant genotypes viz. P-1531, P-1384-1 and P-1384-3 were also scattered among different clusters in different sowing environments. The different clusters in both the environments displayed significant variations in the mean intra-cluster group for all eleven characters. As a result, crosses between cluster members with a high cluster mean for significant characters combined with high inter-cluster distances between them are expected to be more satisfactory. About 11 principal components (PCs) were studied for different traits in which only 4 PCs with eigenvalue >1 accounted 64.24% in E1 and 62.73% in E2. The traits falling to these 4 PCs may be given due importance in field pea improvement programmes. For both E1 and E2, the PC1 had the highest variability (24.62% & 23.27%) followed by PC2 (19.42 & 17.58%), PC3 (10.53 & 11.62%) and PC4 (9.67% & 10.26%).ThesisItem Open Access MORPHOLOGICAL, BIOCHEMICAL AND MOLECULAR CHARACTERIZATION OF BLACKGRAM GENOTYPES FOR YELLOW MOSAIC DISEASE RESISTANCE(Banda University of Agriculture & Technology, Banda-210001, Uttar Pradesh, India, 2021-10-30) TRIPATHI, ANUPAM; Singh, C. M.Blackgram (Vigna mungo L. Hepper) is one of the most important short duration grain legume, which contributes significantly towards nutritional security and environmental sustainability. The present investigation was carried out with an objective to evaluate the panel of blackgram genotypes for yellow mosaic disease resistance, its molecular validation and understanding the biochemical basis of resistance. The molecular detection confirmed the presence of MYMIV causing YMD. Total of 32 blackgram genotypes were noticed as HR to YMD having 0.00% PDI and DSI over the environments, in which 27 genotypes were validated as HR based on CEDG-180 and CYR-1 genotyping. For exploring linked amplicons, 36 SCoT primers were used for polymorphism survey on test panel of HS and HR genotypes. The SCoT markers namely SCoT-4 (2200bp), SCoT-16 (700bp), SCoT-24 (2500bp), SCoT-25 (700bp), SCoT-33 (900/1000bp), SCoT-34 (600bp), SCot-9 (1150bp/ 1200bp), SCoT-15 (1150bp/ 1100bp). These fragments will be utilized for developing MYMIV linked SCAR markers. The structure analysis of test panel were done using linked unique 08 SCoT loci, which distinguished the HR and HS blackgram genotypes. The analysis grouped all the genotypes in two subpopulation only as HR and HS. The biochemical analysis revealed that the increased expression of ROS indicating the hypersensitive response of wild species as compared to HS genotypes. The activation of Phenyl Propanoid Metabolism in activating the defense mechanism in wild species provide an insight into MYMIV resistance. The increased expression of ROS indicating the hypersensitive response of wild species as compared to HS genotypes. The study provides an insight into identification of robust donors of MYMIV resistance, novel fragments for developing linked SCARs, and biochemical basis of resistance.ThesisItem Open 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, RamLentil 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.ThesisItem Open 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, HiteshChickpea (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.ThesisItem Open Access GENETIC ANALYSIS OF QUANTITATIVE TRAITS IN FIELD PEA(Banda University of Agriculture & Technology, Banda Uttar Pradesh, 2020-10-14) PRATAP, VIJAY; Sharma, VijayThe 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.ThesisItem Open 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, MukulThe 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.
