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Agriculture University, Jodhpur
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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.
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ThesisItem Open Access Effect of Foliar Fertilization of NPK on Growth and Yield of Carrot (Daucus carota L.) in Loamy Sand Soil of Rajasthan(Agriculture University, Jodhpur, 2021-07-08) Chouhan, Rakesh; Choudhary, Santosh; Moond, S. K.; Kumawat, M. M.A field experiment was conducted at Instructional Farm of College of Agriculture, Jodhpur, during Rabi 2020, to determine the effect of foliar fertilization of NPK water soluble fertilizer and its spray numbers on growth and yield quality and net returns of carrot in Rajasthan. The treatments comprising of five spray concentrations of water-soluble fertilizers (WSF) i.e. control, WSF @ 0.5%, 1.0%, 1.5% and 2.0%; and two spray numbers i.e. two at 30 & 60 DAS and four-30, 45, 60 and 75 DAS allocated in factorial randomized block design with three replications. Experiment results revealed that among the spray concentration of WSF 2.0% being at par WSF 1.5% recorded significantly higher plant height, the number of leaves/ plant, fresh weight of aerial parts, root diameter, core diameter, root length, root weight, root yield, β carotene content, TSS, net returns (` 1,67,279 /ha) and B:C ratio (1.84) as compared to WSF 0.5 % and control. Further, significantly higher plant height, number of leaves/plant, fresh weight of aerial parts, root diameter, core diameter, root length, root weight, root yield, β carotene content, TSS, net returns (`1,54,491/ha) and B:C ratio (1.70) were recorded with four sprays over two sprays. Hence, spray concentration of WSF 2.0% with four sprays on carrot found optimum to produced higher yield of carrot with enhanced quality and returns arid western Rajasthan.ThesisItem Open 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, MoolaAn 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.ThesisItem Open 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, SantoshAn 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.ThesisItem Open 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.ThesisItem Open Access Genetic Divergence and Character Association Studies on Seed Yield and Component Traits in Mungbean [Vigna radiata (L.) Wilczek](Agriculture University, Jodhpur, 2020-07-16) Anita; Kumhar, S. R.; Meena, R.C.; Choudhary, B. R.An experiment entitled “Genetic Divergence and Character Association studied on Seed Yield and Component Traits in Mungbean [Vigna radiata) (L.) Wilczek]” was carried out during Kharif 2019-20 at the Research Farm of Agricultural Research Station, Mandor, Jodhpur. The experiment was laid out in Randomized Block Design (RBD) with 38 genotypes and three replications to estimate the extent of genetic variability, heritability, genetic advance, character association and genetic divergence between yield and its attributing characters. Analysis of variance exhibited significant difference for all the characters suggesting the presence of great inherent genetic variations among the genotypes studied. The highest magnitudes of PCV and GCV were observed for number of pods per plant whereas, the lowest for days to maturity. High heritability coupled with high genetic advance as per cent of means altogether observed for the traits like plant height, number of pods per plant, number of branches per plant, 100 seed weight, harvest index 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 the seed yield in mungbean. Correlation studies among the characters revealed that seed yield per plant has highly positive and significant association with characters like plant height, number of pods per plant, number of branches per plant, number of seeds per pod and 100 seed weight both at phenotypic and genotypic levels, depicting that these are important yield contributing traits. Path coefficient analysis of various quantitative traits indicated that number of pods per plant had the highest positive direct effect on seed yield per plant followed by number of seeds per pod, pod length, 100 seed weight, plant height and days to maturity while, days to 50% flowering exhibited the maximum negative direct effect on seed yield per plant in mungbean. Based on the relative magnitude of D2 values, Tocher’s method resulted in formation of nine clusters. Out of nine clusters, cluster I was the largest comprising of twenty nine genotypes followed by cluster II with two genotypes, clusters III and rest were monogenotypic suggested the existence of high degree of heterogeneity among the genotypes. The trait plant height contributed maximum towards genetic divergence. The highest cluster distance was observed between cluster II and cluster IX followed by cluster II and cluster VII, therefore, transgrassive segregates can be obtained through hybridization by using genotypes of these clusters. Out of 38 genotypes, PM 1522, GM-6, IGKM 06-18-3 and GM-4 were found promising for seed yield and other characters, hence these genotypes could be useful as parental source for future breeding programme.ThesisItem Open Access Variability Analysis for Morphological Traits in Pearl Millet [Pennisetum glaucum (L.) R. Br.] Under Normal and Limited Moisture Conditions(Agriculture University, Jodhpur, 2021-09-23) Junjhadia, Sunita; Khandelwal, Vikas; Satyavathi, C. Tara; Meena, R.C.An experiment entitled “Variability Analysis for Morphological Traits in Pearl Millet [Pennisetum glaucum (L.) R. Br.] Under Normal and Limited Moisture Conditionsˮ was conducted with 30 genotypes in Kharif, 2020 at Research Farm of ICAR-AICRP on Pearl Millet, Project Coordinating Unit, Mandor-Jodhpur (Rajasthan). The experiment was laid out in Randomized Block Design with 3 replications in two moisture conditions and observations of days to 50% flowering, days to maturity, leaf area, flag leaf area, plant height, panicle length, panicle girth, stem girth, number of productive tillers per plant, number of nodes per plant, 1000- grain weight, dry fodder yield per plant, relative water content, chlorophyll content, grain yield and drought susceptibility index were recorded. Analysis of variance depicted significant difference for all the traits under study, indicated that good amount of inherent variations are present. The phenotypic coefficient of variance was higher than genotypic coefficient of variance for all the traits under study, indicating influence of environment on expression of such traits. The highest value of PCV and GCV were observed for dry fodder yield per plant and the lowest for days to maturity in both moisture conditions. All the traits showed high heritability except days to 50% flowering, days to maturity in limited moisture condition and RWC in both moisture conditions. High heritability coupled with high genetic advance as per cent of mean was observed for grain yield, dry fodder yield, plant height, panicle length, panicle girth, stem girth, leaf area, flag leaf area, number of productive tillers per plant, number or nodes per plant, 1000 grain weight and chlorophyll content in both moisture conditions, indicating these traits were govern by additive gene action. Hence, for the improvement in grain yield, selection on these traits could be practiced. Analysis of correlation coefficient revealed that grain yield per plant had positive and significant correlation with flag leaf area, number of productive tillers per plant, 1000- grain weight, RWC and chlorophyll content in both moisture conditions. Moreover, in normal moisture condition panicle girth and dry fodder yield per plant also showed positive and significant correlation with grain yield per plant. These results illustrating that these traits important in contribution for grain yield. High variations were observed for drought susceptibility index (DSI) in this study. DSI values ranged between 0.350 and 1.376. The genotypes with low DSI value were considered as drought resistant, meaThesisItem Open Access Genetic Variability, Correlation and Path Analysis in Finger Millet [Eleusine coracana (L.) Gaertn](Agriculture University, Jodhpur, 2021-09-25) Bairwa, Ujala; Choudhary, B.R.; Kumhar, S.R.; Shukla, U.N.An experiment entitled “Genetic Variability, Correlation and Path analysis in Finger millet [Eleusine corocana (L.) Gaertn]” was conducted with 35 genotypes in Kharif 2020 at Research Farm of Agricultural Research Station, Mandor, Jodhpur (Rajasthan). The experiment was laid out in RandomizedBlock Design (RBD) with three replications to estimate the extent of genetic variability, heritability, genetic advance, correlation coefficient, path coefficient analysis and genetic divergence among all the genotypes. The analysis of variance exhibited significant difference among the genotypes for all the characters under study indicating the presence of substantial degree of variability. The phenotypic coefficient of variance (PCV) was higher than genotypic coefficient of variance (GCV) for all the traits under study, indicating influence of environment on expression of such traits. The highest value of PCV and GCV was observed for iron content and the lowest for days to 50% flowering. All the traits showed high heritability except number of fingers per ear, number of effective tillers per plant and biological yield per plant. High heritability coupled with high genetic advance as percent of mean were recorded for iron content, test weight, calcium content, finger length, protein content, flag leaf area and days to maturity hence these characters are most likely to be governed by additive gene action and selection for these characters will be very effective. Correlation studies among the characters revealed that grain yield per plant has a strong positive and significant association with characters like flag leaf area, finger length, test weight, biological yield per plant and harvest index at phenotypic and genotypic levels depicting that these are important yield contributing traits. Path coefficient analysis of various quantitative traits indicated that flag leaf area, test weight, biological yield per plant, harvest index and iron content had the maximum positive direct effect on grain yield per plant. Based on the relative magnitude of D2 values, Tochers’s method resulted in formation of seven clusters. Out of seven clusters, cluster I was the largest comprising of fifteen genotypes followed by cluster II with twelve genotypes and cluster III with four genotypes, clusters IV, V, VI and VII were monogenotypic suggested the existence of high degree of heterogeneity among the genotypes. The traits test weight contributed maximum towards genetic divergence. The highest intra cluster distance was recorded in cluster III and cluster II while maximum inter cluster distance was recorded between cluster III and cluster VII followed by cluster I and cluster VII indicated that superior recombinants can be achieved by mating between the lines of the clustersThesisItem Open Access Morphological, Physiological and Molecular Characterization of Pearl millet [Pennisetum glaucum (L.) R. Br.] Hybrids and Varieties(Agriculture University, Jodhpur, 2021-06-08) Geela, Rajesh; Satyavathi, C. Tara; Khandelwal, Vikas; Meena, R.C.An experiment entitled “Morphological, Physiological and Molecular Characterization of Pearl Millet [Pennisetum glaucum (L.) R. Br.] Hybrids and Varieties” was conducted with 24 genotypes in Kharif-2020 at Research Farm of ICAR-AICRP on Pearl Millet, Jodhpur (Rajasthan). The experiment was laid out in randomized block design (RBD) with 3 replications and observations of days to 50 per cent flowering, days to maturity, leaf area, flag leaf area, plant height, panicle length, panicle girth, number of productive tillers per plant, 1000-grain weight, dry fodder yield per plant, relative water content (RWC), chlorophyll content, membrane stability index, SPAD reading, harvest index and grain yield per plant were recorded. Analysis of variance depicted significant difference for all the traits under study, indicating that good amount of inherent variations were present. The phenotypic coefficient of variation (PCV) was higher than genotypic coefficient of variation (GCV) for all the traits under study, indicating influence of environment on expression of such traits. The highest value of PCV and GCV were observed for flag leaf area and the lowest for days to maturity. Traits showing high heritability were leaf area, flag leaf area, panicle girth, relative water content, chlorophyll content and grain yield per plant. High heritability coupled with high genetic advance as per cent of mean was observed for grain yield per plant, leaf area, flag leaf area, relative water content at seedling stage and chlorophyll content, indicating that these traits were governed by additive gene action. Hence, for the improvement in grain yield, selection on these traits could be made. Analysis of correlation coefficient revealed that grain yield per plant had positive and significant correlation with days to 50 per cent flowering, days to maturity, number of productive tillers per plant, plant height, panicle girth, 1000-grain weight, relative water content and membrane stability index at seedling stage, chlorophyll content and SPAD chlorophyll content at flowering stage, harvest index and dry fodder yield per plant. These results illustrate that these traits are important in contribution to grain yield. Based on the physiological parameters genotypes, RHB 177, RHB 173, MPMH 17, GHB 1231, AHB 1269 and HHB 223 were emerged as suitable for arid zone of Rajasthan. Out of 92 SSRs, 77 SSR markers were found polymorphic and 2 were not amplified, while 13 exhibited monomorphism. The number of alleles varied from 2 to 9. The mean alleles per locus were found to be 3.41. PIC value ranged from 0.197 to 0.875 with an average of 0.58. Cluster analysis based on UPGMA following software NTSYS lead to grouping of 24 genotypes into 3 major clusters and which further divided into minor clusters (1st into 5 sub clusters). The similarity coefficient varied from 0.31 to 0.72 with mean value of 0.515. SSR markers revealed a good level of polymorphism among the studied pearl millet genotypes. The information revealed in this study can be further used in pearl millet improvement programs.ThesisItem Open Access Genetic Variability, Correlation and Path Analysis in Cumin (Cuminum cyminum L.)(Agriculture University, Jodhpur, 2021-06-08) Singh, Amninder; Kumhar, S.R.; Khandelwal, Vikas; Ram, MoolaA field experiment entitled “Genetic Variability, Correlation and Path analysis in Cumin [Cuminum cyminum L.]” was carried out during Rabi, 2019 at Agricultural Research Station, Mandor-Jodhpur (Rajasthan). The experiment was laid out in Randomized Block Design with 40 genotypes and three replications. The observations of days to 50 per cent flowering, days to maturity, plant height, number of branches per plant, number of umbels per plant, number of umbellates per umbel, number of seeds per umbellate,1000 seeds weight (g.), biological yield per plant (g.), seed yield per plant(g.), harvest index and crude oil content were recorded to estimate the extent of genetic variability, heritability, genetic advance, the correlation between yield and other characters, the direct and indirect effect of yield contributing traits through path coefficient analysis. Analysis of variance exhibited significant difference for all the traits under study, showing sufficient inherent genetic variations present. The phenotypic coefficient of variation (PCV) was marginally higher than genotypic coefficient of variation (GCV) for all the characters under study which inferred that low influence of environment on the experimental genotypes. The highest value of PCV and GCV were observed for seed yield per plant and the lowest for days to maturity. High heritability and high genetic advance as per cent of mean was reported in all the characters expect days to maturity, number of branches per plant and number of umbellates per umbel. this suggested that these traits were governed by additive gene action. Hence, these traits are much likely to prove effective in selection to improve seed yield per plant in cumin. Correlation among the characters studied revealed that seed yield per plant has positive significant association with characters like the plant height , number of branches per plant , number of umbels per plant, number of umbellates per umbel, number of seeds per umbellate, 1000 seeds weight, biological yield per plant, harvest index and crude oil content. it also showed negative significant genotypic and phenotypic correlation with days to 50 per cent flowering. Path coefficient analysis of various quantitative characters indicated that at genotypic level the highest positive direct effect on seed yield per plant exerted by biological yield per plant followed by harvest index and crude oil content. At phenotypic level the highest positive direct effect on seed yield per plant exerted by harvest index followed by biological yield per plant and plant height. Whereas, number of umbellates per umbel, days to maturity and number of branches per plant contributed considerable negative direct effect on seed yield per plant at genotypic level. number of umbellates per umbel and 1000 seeds weight contributed considerable negative direct effect on seed yield per plant at phenotypic level. Out of 40 genotypes MCU-105, MCU-59, MCU-34, MCU-64, GC-4, MCU-32 and MCU-36 were found superior in seed yield and for other characters based on mean performance. Hence these genotypes would be used as parental source for future breeding programme.
