Thumbnail Image

Agriculture University, Kota

The Agriculture University, Kota (AUK) was established on 14th September, 2013 after bifurcation of the Maharana Pratap University of Agriculture & Technology (MPUAT), Udaipur and Swami Keshwanand Rajasthan Agricultural University (SKRAU), Bikaner through promulgation of Act No. 22 of 2013. The University has been created for the agricultural development in South-East and Eastern Rajasthan which is having diversified agriculture situations from rainfed to canal irrigated agriculture. The Agriculture University has its Headquarter at Borkhera Farm, Kota & is located on Kota-Baran National highway-76. Kota district is situated in the South-Eastern part of Rajasthan and comes under Humid South-Eastern Plain Zone (agro climatic zone V). It lies between 23045’ and 26038’ North latitude and 75037’ and 77026’ East longitude. The jurisdiction of AUK is spread over in 6 districts namely Kota, Baran, Bundi, Jhalawar, Karauli and Sawai Madhopur. It accounts for 9.98 % geographical area, 12.67 % total human population, 9.4 % live stock population, 31.59 % forest area and 20.6 % net sown area of the state. Development and education of modern practices in the field of Agriculture, Horticulture & Forestry for sustainable livelihood of the rural masses is the main thrust of the service area of AUK.

Browse

20211
Reset filters
Subject: Genetics and Plant Breeding × Author: Meena, Hari Om ×
Reset filters

Search Results

Now showing 1 - 1 of 1
  • Thumbnail Image
    ThesisItemOpen Access
    Genetic Divergence and Character Association in Indian Mustard [Brassica juncea (L.) Czern & Coss]
    (COLLEGE OF AGRICULTURE, UMMEDGANJ, KOTA, 2021-12-08) Meena, Hari Om; Meena, P.K. Prem
    The present investigation entitled “Genetic divergence and character association in Indian Mustard [Brassica juncea (L.) Czern & Coss]” was carried out during Rabi 2019-20 with 60 genotypes for 14 quantitative characters viz., Days to 50% Flowering, days to maturity, plant height (cm), number of primary branch per plant, number of secondary branch per plant, length of main axis (cm), number of siliquae per plant, number of siliquae on main axis, length of siliqua (cm), number of seeds per siliqua, 1000-seed weight (g), oil content (%), harvest index (%) and seed yield per plant (g). The experiment was laid out in a Randomized block design with three replications at Agricultural Research Station, Ummedganj Farm, Kota (Agriculture University, Kota). The analysis of variance indicated highly significant differences among the 60 genotypes of Indian mustard for 14 quantitative characters studied. The estimates of PCV and GCV for seed yield per plant, 1000-seed weight, number of secondary branches per plant, harvest index, number of primary branches per plant, number of siliquae on main axis, length of siliqua, length of main axis, number of siliquae per plant and number of seeds per siliqua were found moderate which indicated that high amount of PCV and GCV played a considerable role in expression of these traits. High estimates of heritability coupled with high genetic advance for 1000-seed weight, harvest index, number of secondary branches per plant and seed yield per plant indicated that selection would be effective for the improvement of these traits. Genetic divergence assessed by Mahalanobis D2 following Tocher’s methods of clustering. Sixty genotypes studied were grouped into eight clusters. Cluster IV was the largest with 18 genotypes, whereas cluster I was the second largest with 16 genotypes grouped together. Cluster VI was the third largest cluster based on the number of genotypes (8 genotypes) followed by cluster II (7 genotypes) and cluster III (6 genotypes). Two clusters, V and VIII comprised of two genotype each. Cluster VII comprised only one genotype. Maximum intra-cluster distance was recorded forcluster VI, whereas it was lowest for cluster VII. The maximum inter-cluster distance was revealed between cluster V and VIII followed by cluster V and VII, cluster VI and VIII and cluster III and V. The maximum contribution towards genetic divergence was from seed yield per plant followed by 1000-seed weight, number of secondary branches per plant, harvest index, length of siliqua, number of primary branches per plant, number of siliquae on main axis, length of main axis and number of siliquae per plant and number of seeds per siliqua. Correlation study revealed that number of siliquae per plant, number of siliquae on main axis and harvest index exerted high positive significant correlation with seed yield per plant both at genotypic and phenotypic levels. Path coefficient analysis exhibited positive direct effect via days to 50% flowering and number of siliquae per plant (At phenotypic level). Positive direct effect on seed yield per plant observed both at genotypic and phenotypic levels through days to maturity, number of siliquae on main axis, number of seeds per siliqua, 1000-seed weight, oil content and harvest index. The The genotypes RH-725 (16.55 g), Giriraj (15.64 g), RGN-303 (15.60 g), Kranti (15.44 g) and Pusa Jai Kishan (14.92 g), were superior not only for seed yield per plant but also for related traits like harvest Index, number of siliquae per plant, number of primary and number of secondary branches per plant. These superior genotypes may be used for future breeding programme.