Loading...
Thumbnail Image

Agriculture University, Jodhpur

Agriculture University, Jodhpur was established on 14th September, 2013 by Government of Rajasthan under Agriculture University, Jodhpur Act 21 of 2013 to focus on holistic development of arid and semi-arid regions of the state covering 6 districts (Jodhpur, Barmer, Nagaur, Pali, Jalore and Sirohi), constituting 28% of total geographical area which is sustaining 20.8% human and 28.4% animal population of the state. The districts under jurisdiction of the university cover 3 agro-ecological zones of the state. These are Arid Western Plain Zone Ia (Jodhpur and Barmer districts), Transitional plain of Luni Basin Zone IIb (Jalore, Pali, and Sirohi districts) and part of Transitional Plain of Inland Drainage Zone IIa (Nagaur district). The university has 1 institute of diploma and 3 colleges to produce highly competent educated human resources in agriculture and allied sciences besides 2 agricultural research stations, one each in zone Ia & IIb and 3 agricultural research sub stations, one in each zone to prepare, plan and perform highly need based research in this acute water scarce but naturally rich bio-diversified zone of the country. The third most important part in tri-pillar (Teaching, Research & Extension) of agricultural development, the extension for transfer of technologies are reached to doorsteps of the farming community by 6 Krishi Vigyan Kendras (K-V-Ks), 2 in Nagaur district and 1 each in Jodhpur, Barmer, Jalore & Sirohi districts under the umbrella of the university. The different units of teaching, research and extension are coordinating to systematically run by the headquarter situated at Mandor, Jodhpur.

Browse

Search Results

Now showing 1 - 7 of 7
  • ThesisItemOpen Access
    Heterosis and Combining Ability Studies in Sesame (Sesamum indicum L.)
    (Agriculture University, Jodhpur, 2019-07-01) Sirohi, Sushila; Kumhar, S. R.; Choudhary, B.R.; Ram, Moola
    An experiment entitled “Heterosis and combining ability studies in sesame (Sesamum indicum L.)” was carried out during kharif season of 2018 at research farm of Agricultural Research Station, Mandor, Jodhpur. The experiment comprised of twelve parents, their twenty seven crosses and one check, was shown in randomized block design with three replications. The analysis of variance for all the characters revealed that genotypes, parents and hybrids showed significant differences for most of characters expect oil content for parents indicating the presence of sufficient variability in the study material. On the basis per se performance, parents viz., RT-54, RT-103, RT-371 and RT-372 were found promising and crosses viz., RT-351 × TKG-22, RT-351 × RT-377 and RT-54 × TKG-22 were revealed better performance for seed yield per plant. Cross, RT-351 × TKG-22 depicted the highest heterosis, heterobeltiosis and standard heterosis. In combining ability analysis, the extent of GCA variance was lower than SCA variance for most of the characters demonstrating the predominance of non additive gene action except oil content. Based on gca effects, TKG-22, GT-10 and RT-372 were good general combiner for seed yield and some of the component characters. Crosses, RT-351 × TKG-22 and RT-54 × RT-372 were most promising hybrids for seed yield and these crosses involved average × good and average × average parents and could be exploited for heterosis breeding or to produce for desirable segregants for sesame crop improvement.
  • ThesisItemOpen Access
    Genetic Variability and Divergence Study for Seed Yield and it’s Components in Pearl Millet [Pennisetum glaucum (L.) R. Br.]
    (Agriculture University, Jodhpur, 2019-05-24) Yadav, Shankar Lal; Rajpurohit, B.S.; Choudhary, B.R.; Choudhary, Santosh
    An experiment entitled “Genetic Variability and Divergence Study for Seed Yield and it’s Components in Pearl Millet [Pennisetum glaucum (L.) R. Br.]” was carried out during Kharif 2018 at the Research Farm of Project Coordinating Unit, AICRP on Pearl Millet, Mandor, Jodhpur. The experiment was laid out in Randomized Block Design (RBD) with 30 genotypes and three replications to estimate the extent of genetic variability, heritability, genetic advance, correlation coefficient, path coefficient analysis and genetic divergence among all the genotypes. Analysis of variance showed highly significant variance among the genotypes for all the characters, under study, indicated availability of wide spectrum of variability among the genotypes. The phenotypic coefficient of variation (PCV) was slightly higher than the respective genotypic coefficient of variation (GCV) for all the characters under study indicated less influence of environment on the genotypes in expression of traits. Highest magnitudes of PCV and GCV were observed for zinc content whereas, the lowest PCV and GCV were observed for days to maturity. High estimate of heritability along with high genetic advance as percentage of mean were observed for days to 50% flowering, plant height, number of productive tillers per plant, panicle length, panicle diameter, stover yield per plant, grain yield per plant, 1000 grain weight, harvest index, iron content and zinc content indicated role of additive gene action for expression of these characters and are proven important for improving seed yield. High heritability values with moderate genetic advance as percentage of mean were observed for days to maturity and protein content. The grain yield per plant was found positively correlated with plant height, panicle diameter, stover yield per plant, 1000 grain weight and harvest index which showed that these traits are may be the selection criteria in breeding programme for improvement of seed yield. Path coefficient analysis revealed that stover yield per plant, harvest index, plant height and 1000 grain weight were the important characters for selection of high yielding accessions as they exerted high positive direct effect as well as showed positive significant correlation with grain yield per plant. Based upon the genetic variability, heritability, genetic advance as percentage of mean, correlation and path analysis it was concluded that stover yield per plant, grain yield per plant, harvest index, number of productive tillers per plant, panicle diameter and panicle length are most important yield components in pearl millet breeding programme. Based on the relative magnitude of D2 values resulted through Tocher’s method the genotypes were grouped in six clusters. Out of six clusters, cluster I was the largest comprising of 25 genotypes followed by mono genotypic cluster II, III, IV, V and VI. This suggested the existence of high degree of diversity among the genotypes. The trait iron content contributed maximum towards genetic divergence. The intra cluster distance was recorded in cluster I. The inter cluster distance was highest between cluster IV and VI followed by cluster V and VI, and III and VI indicated that superior recombinants can be achieved by crossing between the genotypes RIB-17/009 x RIB-15177, J-2405 x RIB-15177 and RIB-335/04 x RIB 15177 in a definite fashion.
  • ThesisItemOpen Access
    Genetic Variability, Correlation and Path Analysis in Sesame (Sesamum indicum L.)
    (Agriculture University, Jodhpur, 2019-06-26) Kumari, Babita; Kumhar, S.R.; Rajpurohit, B.S.; Raiger, P.R.
    An experiment entitled “Genetic Variability, Correlation and Path Analysis in sesame (Sesamum indicum L.)” was carried out during kharif 2018-19 at the Research Farm of Agricultural Research Station, Mandor, Jodhpur (Rajasthan). The experiment was laid out using Randomized Block Design with forty genotypes in three replications to estimate the extent of genetic variability, heritability, genetic advance, correlation between yield and other characters and the direct and indirect effect of yield contributing traits through path coefficient analysis. Analysis of variance exhibited significant difference for all the characters suggesting the presence of great genetic variations among the genotypes studied. The phenotypic coefficient of variation (PCV) was slightly higher than the respective genotypic coefficient of variation (GCV) for all the characters, indicating less environmental influence on the genotypes. The highest magnitudes of PCV and GCV were observed for number of primary branches per plant whereas, the lowest was for days to maturity. Days to 50% flowering, days to maturity, number of primary branches per plant and seed yield per plant showed high estimates of heritability. High heritability coupled with high genetic advance as per cent of mean were altogether at a glance, observed for the traits like number of primary branches per plant and seed yield per plant suggesting additive gene action for expression of these characters. Hence, these characters may be proved as effective criteria for selection to improve seed yield in sesame. Correlation studies among the characters revealed that seed yield per plant had a highly positive and significant association with characters viz., number of primary branches per plant, number of capsules per plant, capsule bearing length and harvest index both at phenotypic and genotypic levels, therefore, selection for these characters may bring simultaneous improvement in the seed yield. Path coefficient analysis revealed that the highest positive direct effect on seed yield per plant exhibited by number of capsules per plant followed by capsule bearing length, harvest index, number of primary branches per plant, 1000 seed weight, plant height and days to 50% flowering, therefore, these traits may be used for further improvement in seed yield of sesame. Out of 40 genotypes EC-370867, IC-203936, RMT-251, IC-204531, RMT 244 and IC-203983 were found promising in seed yield and other characters. Hence, these genotypes would be used as parental source for future breeding programme.
  • ThesisItemOpen Access
    Morphological Characterization and Diversity Studies in Sesame
    (Agriculture University, Jodhpur, Jodhpur, 2019-06-12) Ms. Manisha Kumari; Dr. B.R. Choudhary; B.S. Rajpurohit, S R Kumhar, Moola Ram
  • ThesisItemOpen Access
    Genetic Variability, Correlation and Path Analysis in Fenugreek (Trigonella foenum-graecum L.)
    (Agriculture University, Jodhpur, Jodhpur, 2018-06-26) SHIVRAJ; Dr Rajpurohit B.S; Kumhar S.R, Santosh Choudhary, Sundria M.M Santosh Choudhary, Sundria M.M
  • ThesisItemOpen Access
    Genetic Variability, Correlation and Path Analysis in Wheat (Triticum sp.)
    (Agriculture University, Jodhpur, Jodhpur, 2018-05-01) Ms. Madhu Yadav; Dr. Sita Ram Kumhar; B.S. Rajpurohit, R.L. Bhardwaj, U.N. Shukla
  • ThesisItemOpen Access
    Genetic Variability, Correlation and Path Analysis in Quinoa (Chenopodium quinoa Willd.)
    (2018-08-02) Mr. Govind Goyal; Dr. B.R. Choudhary; B.S. Rajpurohit, R.L. Bhardwaj, Moola Ram