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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
    STUDY OF GENETIC VARIATION IN CHICKPEA (Cicer arietinum L.) GERMPLASM PANEL FOR PHYSIOLOGICAL AND PRODUCTIVITY-RELATED TRAITS
    (Banda University of Agriculture & Technology, Banda-210001, Uttar Pradesh, India, 2021-10-30) MISHRA, SAKSHAM; Kumar, Hitesh
    The present investigation carried out at agriculture experimental farm of Banda University of Agriculture and Technology, Banda during Rabi 2020-21. The experiment was conducted in augmented design with 189 genotypes including 3 checks. The study aim to determine the variation for ten quantitative and four physiological traits viz: early plant vigor, 50% days to flowering, days to maturity, plant height, number of primary branches per plant, number of pods per plant, biological yield per plot, seed yield per plot, harvest index, seed index, canopy temperature depression, relative water content, water saturation deficit, pollen fertility, respectively. The extent of variability, correlation coefficient among the important economic traits, direct and indirect effects of yield contributing traits and genetic divergence among the genotypes were determine for all the studied traits. Among all the genotypes for these traits may be exploited in breeding programme for quantitative purpose in chickpea. The analysis of variance revealed significant mean sum of squares due to genotypes for all traits except for plant height, days to maturity, harvest index, biological yield per plot, pollen fertility. Based on significant per se performance, genotype ICCV 181103, ICVT 181112, ICCV 181101, LOCAL 6, ICCV 191215, ICCV 191303, ICCV 14118, RVG 151, ICCV 10, ICCV 181664, RVKG-101 and ICVT 181117 were identified and can be used for the improvement of productivity along with yield components traits. The high estimates of GCV, PCV, heritability broad sense along with high genetic advance over mean were observed for seed index, number of pods per plant, seed yield per plot, water saturation deficit, biological yield per plot. 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 plot had highly significant and positive correlation with number of primary branches per plant, number pods per plant, biological yield per plot, harvest index, plant height and relative water content while highly significant and negative correlation with water saturation deficit and highly influenced by these traits both directly and indirectly. It is therefore, suggested that selection based on, number of primary branches per plant, number pods per plant, biological yield per plot may result in improvement of seed yield in chickpea. All 189 genotypes (including checks) were grouped into fourteen clusters. On the basis of inter cluster distance and per se performance of genotypes across studied the traits with desirable direction, the hybridization programme can be formulated to develop new elite genotype.