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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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20211
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Subject: Floriculture and Landscaping × Author: Gangwar, Rohit × Start date: 2021 × Type: Thesis ×
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    ThesisItemOpen Access
    STUDIES ON GENETIC VARIABILITY IN MARIGOLD (Tagetes spp.)
    (Banda University of Agriculture & Technology, Banda-210001, Uttar Pradesh, India, 2021-10-28) Gangwar, Rohit; Tomar, Krishna Singh
    The present investigation was carried out at the Instructional Farm of Department of Floriculture and Landscape Architecture, College of Horticulture, Banda University of Agriculture and Technology Banda during 2020-21 to study the variability studies in marigold (Tagetes spp.). The experiment was laid out in Randomized Block Design with three replications. Sixteen genotypes of marigold were evaluated for eighteen vegetative, flowering and yield related traits to study the genetic parameters such variability, heritability, coefficient of variation, correlation and path coefficient analysis. Analysis of variance for all the traits showed significant differences among genotypes. High range in mean performance was observed for plant height (5.40-21.62 cm), inter-nodal length (2.20-6.97 cm), number of primary branches per plant (3.96-19.54), number of secondary branches plant (11.37-78.50), days taken to first flowering (43.21-86.33 days), flowering duration (42.46-59.08 days), flower diameter (35.58-74.83 mm), fresh flower weight (1.19-11.55 g), number of flowers per plant (16.71-113.75), flower yield per plant (22.0-367.30 g) and seed yield per plant (10.60-69.10 g). High coefficient of variation was observed for dry flower weight, fresh flower weight and leaf area. High heritability was observed for shelf life (99.96%), number of leaves per plant (99.91%), number of petals per flowers (99.87%), fresh flower weight (99.79%), leaf area (99.65%) and plant height (99.46%). High Values of genetic advance as per cent of mean was recorded for dry flower weight (150.99%), fresh flower weight (144.13%), leaf area (136.71%), number of petals per flower (136.63%), seed yield per plant (124.65%), number of secondary branches per plant (115.51%) and number of flowers per plant (113.96%). The magnitude of correlation coefficient at genotypic level was found higher than the corresponding correlation at phenotypic level. Flower yield per plant had a positive and highly significant correlation both at genotypic and phenotypic levels with fresh flower weight (0.828, 0.818), number of petals per flower (0.816, 0.805), shelf life of flower (0.753, 0.739), dry flower weight (0.717, 0.709 ), flower diameter (0.717, 693) and flower duration (0.707, 0.665). Path coefficient analysis revealed that fresh flower weight (1.751, 1.649) exhibited maximum positive and direct effect on flower yield per plant at genotypic and phenotypic level followed by seed yield per plant (0.509, 0.477), days taken to first flowering (0.364, 0.266), number of primary branches per plant (0.272, 0.244), dry flower weight (0.271, 0.199), number of flowers per plant (0.263, 0.288) and shelf life (0.183, 0.182) respectively. Hence selections of these traits would be effective for flower yield improvement in marigold. The clustering pattern based on Mahalanobis D2 statistic indicated the existence of wide genetic divergence among genotypes for various traits studied and categorized the genotypes into five distinct clusters. The highest inter-cluster distance was observed between cluster-I and cluster-IV (12786.63) whereas the lowest was found between cluster-II and cluster V (2307.83).