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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.

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2020 - 20216
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Subject: Genetics and Plant Breeding ×
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Now showing 1 - 6 of 6
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    ThesisItemOpen Access
    Genetic Variability, Correlation and Path Analysis in Linseed (Linum usitatissimum L.) Genotypes
    (COLLEGE OF AGRICULTURE, UMMEDGANJ, KOTA, 2020-08-14) Meena, Ashok Kumar
    The experiment entitled “Genetic Variability, Correlation and Path Analysis in Linseed (Linum usitatissimum L.) Genotypes” was conducted at College of Agriculture, Ummedganj, Agriculture University, Kota (Raj.) during Rabi 2019-20. The experiment consisted thirty-six genotypes including checks and it was conducted with three replications in Randomized Block Design (RBD). Statistical analysis was done for genetic variability, heritability, genetic advance as per cent of mean, correlation and path analysis. Highly significant differences were found between the linseed genotypes for all the character studied. The phenotypic coefficient of variation (PCV) was higher than genotypic coefficient of variation (GCV) for all the character studied. GCV and PCV were highest for number of capsules per plant followed by number of primary branches per plant. Heritability was high for all the characters except number of seeds per capsule, protein content and seed yield per plant. Greater magnitude of heritability coupled with moderate to high genetic advance as per cent of mean was observed for number of capsules per plant, number of primary branches per plant, plant height, seed yield per plant and 1000 seed weight revealed that simple selection can be led to fast genetic improvement of the linseed genotypes under the study. Seed yield per plant showed positive correlation with plant height, number of capsules per plant, 1000 seed weight and protein content, while highly correlated with number of capsules per plant. Path coefficient analysis revealed that number of capsules per plant had strong positive direct effect on seed yield per plant. Based upon genetic variability, heritability, genetic advance as per cent of mean, correlation and path coefficient analysis, it was concluded that number of capsules per plant, number of primary branches per plant, 1000 seed weight and plant height were most important yield components in linseed breeding programme. Based upon mean performance of the linseed genotypes RL-15582, RL-15594,180206, 180203, RL-15597 considerably showed higher mean values for seed yield basis, so these genotypes can be used in further breeding application for development of varieties and in hybridization programme. * A post graduate student, Department of Genetics and Plant Breeding, College of Agriculture, Ummedganj, Kota, Agriculture University, Kota. ** Thesis submitted in partial fulfillment of the requirement for M.Sc. (Ag.) degree in Genetics and Plant Breeding under the supervision of Dr. Sandhya, Assistant Professor, Department of Genetics and Plant Breeding, Agriculture University, Kota.
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    ThesisItemOpen Access
    Variability, Correlation and Path Analysis in Lentil (Lens culinaris Medik.) Genotypes [
    (COLLEGE OF AGRICULTURE, UMMEDGANJ, KOTA, 2020-10-01) MEENA, JITENDAR KUMAR; Singh, Khajan
    The present investigation entitled “Variability, Correlation and Path Analysis in Lentil (Lens culinaris Medik.) Genotypes” was carried out with 155 genotypes including five checks. The genotypes were planted in augmented randomized complete block design during Rabi 2019-20 at experimental field of AICRP on MULLaRP, Agricultural Research Station, Kota. Observation were recorded on thirteen characters viz., days to 50% flowering, days to maturity, plant height, number of primary branches per plant, number of secondary branches per plant, number of peduncles per plant, number of pods per plant, number of seeds per pod, 100-seed weight, biological yield per plant, harvest index, protein content and seed yield per plant. Observation on days to 50% flowering and days to maturity were recorded on population basis and for rest of the trait’s observation were recorded on five plants selected randomly from each entry. Variability parameters, correlation coefficients and path coefficients were computed. In general, different genotypes exhibited superiority for different characters over the best check. However, genotype RKL-14-42, RKL-14-276, RKL-14-49 and RKL-16-300 were superior not only for seed yield per plant but also related traits like plant height, number of primary branches per plant, number of secondary branches per plant, number of peduncles per plant, number of pods per plant, number of seeds per pod, 100-seed weight, biological yield per plant, harvest index and protein content. These different genotypes were with high mean of seed yield as well as component traits, hence can be used in further breeding programme. The analysis of variance indicated the existence of significant differences among genotypes for all the characters studied, suggesting good deal of variability in the material under study. Biological yield per plant, number of peduncles per plant, number of pods per plant, number of primary branches per plant, number of secondary branches per plant and seed yield per plant recorded high GCV, high heritability and high genetic gain. Hence, direct selection would be effective for the improvement of these characters.The correlation coefficient analysis indicated that biological yield per plant, harvest index, number of peduncles per plant, number of pods per plant, number of primary branches per plant and plant height exhibited significant correlation with seed yield per plant. Path analysis exhibited that out of seven characters which were positively correlated with seed yield per plant, only three characters viz., biological yield per plant, harvest index and number of pods per plant had positive and high direct effect. The positive correlation of other characters was mainly due to their indirect effects via. biological yield per plant, harvest index and number of pods per plant. Hence these characters may be considered for further breeding programme to improve the seed yield in lentil.
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    ThesisItemOpen Access
    Studies on Genetic Variability, Characters Association and Genetic Divergence among Rice (Oryza sativa L.) Genotypes [
    (COLLEGE OF AGRICULTURE, UMMEDGANJ, KOTA, 2020-08-18) Meena, Deepak; Kumar, (Manoj
    The present investigation was carried out to estimate “Studies on Genetic Variability, Characters Association and Genetic Divergence among 25 Rice Genotypes for 10 characters viz., days to 50 per cent flowering, days to maturity, plant height, number of productive tillers per plant, panicle length, number of grains per panicle, 1000-grain weight, amylose content, protein content and grain yield per plant. The experiment was laid out in a Randomized Block Design with three replications at Agricultural Research Station, Ummedganj, Kota during Kharif 2019. The analysis of variance indicated the existence of significant differences among genotypes for all the characters studied. High GCV and PCV values were observed for grain yield per plant, number of productive tillers per plant, number of grains per panicle and 1000-grain indicating the presence of good amount of genetic variability for these characters so, direct selection for these characters would be effective. The characters viz., number of productive tillers per plant and grain yield per plant exhibited high heritability coupled with high genetic advance indicating the involvement of additive gene action in the inheritance of these traits hence simple selection would be rewarding. The result of character association indicated that grain yield per plant showed significant positive correlation with most of the traits except number of grains per panicle, amylose content and protein content at both the levels. Genetic divergence studies by Mahalanobis D² analysis indicated the existence of significant diversity among rice genotypes which were grouped into six clusters. Greater genetic divergence was found between cluster III and VI. Cluster II was the largest comprising of eight genotypes and other clusters viz., cluster I contain seven genotypes, cluster III comprising four genotypes, cluster IV include three genotypes, cluster V include two genotypes and cluster I was represented by single genotype indicating high degree of heterogeneity among the genotypes. The pattern of group constellations indicated significant diversity among the genotypes.The cluster I having highest mean value for grain yield per plant and productive tillers per plant, cluster III for days to 50 per cent flowering, days to maturity and plant height, cluster IV for highest protein content and cluster V for number of grains per panicle and cluster VI having highest panicle length, 1000-grain weight and amylose content. The genotype RSK-1155-6-3-1, RSK-1157-4-5-1, RSK-1157-6-3-1, RSK-1157-9-2-2 and RSK-1155-3-3-1 were superior not only for grain yield per plant but also related traits like plant height, number of productive tillers per plant, days to 50 per cent flowering, days to maturity, panicle length, number of grains per panicle, 1000-grain weight, amylose and protein content. These superior genotypes may be directly used in future breeding programmes in rice.
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    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.
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    ThesisItemOpen Access
    ASSESSMENT OF SELECTION PARAMETERS FOR YIELD AND OIL CONTENT IN INDIAN MUSTARD [Brassica juncea (L.) Czern & Coss.]
    (COLLEGE OF AGRICULTURE, UMMEDGANJ, KOTA, 2021-12-07) YADAV, HEMANT; Meena, P.K. Prem
    The present experiment entitled “Assessment of selection parameters for yield and oil content in Indian Mustard [Brassica juncea (L.) Czern & Coss.]” was accomplished during Rabi 2020-21 consisting of forty sepytoneg of Indian mustard. Analysis was done for twelve quantitative characters ziv ,. days to 50 % flowering, days to maturity, plant height (cm), number of primary branches per plant, number of secondary branches per plant, number of siliquae per plant, 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, Kota (Agriculture University, Kota). The analysis of variance revealed highly significant differences among the forty genotypes of Indian mustard for twelve quantitative characters under study. The estimates of PCV and GCV were found high for harvest index. Moderate estimates of PCV and GCV were observed for 1000-seed weight, seed yield per plant and number of secondary branches per plant while, low estimates were observed for number of siliquae per plant, days to 50 % flowering, number of seeds per siliqua, plant height, oil content and days to maturity. Very low differences in the magnitude of PCV and GCV were observed for the characters viz., days to maturity, days to 50% flowering and oil content indicated less influence of environment on these characters. High heritability coupled with high genetic advance as per cent of mean was observed for harvest index, 1000-seed weight, number of secondary branches per plant and seed yield per plant indicating good chances of improvement of these traits through simple selection. Correlation study revealed that harvest index, 1000-seed weight and number of siliquae per plant expressed highly significant and positive correlation with seed yield per plant at both genotypic and phenotypic level. Thus, it can be inferred thatselection based on any one of these characters either alone or in combination, will help to identifying high yielding genotypes. Study of path coefficient analysis revealed the direct and positive influence of harvest index, number of siliquae per plant, 1000-seed weight and length of siliqua towards seed yield per plant. The genotypes viz., Giriraj, RH-749, Kranti, RGN-73 and Varuna were found five top yielders among the forty genotypes which showed higher mean value for seed yield per plant and their performance was also superior for other traits like harvest index, oil content and 1000-seed weight. So, these genotypes could be used for further crop improvement programme.
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    ThesisItemOpen Access
    GENETIC VARIABILITY AND CHARACTER ASSOCIATION STUDIES FOR YIELD AND ITS CONTRIBUTING TRAITS IN CORIANDER (Coriandrum sativum L.)
    (COLLEGE OF AGRICULTURE, UMMEDGANJ, KOTA, 2021-10-29) CHOUDHARY, VISHNU; Verma, Preeti
    Genetic variability, correlation and path coefficient analysis were estimated in a set of 60 genotypes of coriander (Coriandrum sativum L.) along with five checks grown in an Augmented Complete Block Design with five blocks during Rabi 2020-21. Analysis of variance showed significant differences among the genotypes for all the traits studied except days to 50 percent flowering, plant height and harvest index while, significant variability among checks were noted with respect to all the traits studied except harvest index. The high percentage of PCV and GCV were observed for biological yield per plant, seed yield per plot and number of umbels per plant. The high estimates of heritability and genetic advance as percentage of mean were found for biological yield per plant, seed yield per plot, umbels per plant and test weight. Correlation studies revealed that seed yield per plot exhibited highly significant positive correlation with biological yield per plant, test weight, number of umbels per plant, number of seeds per umbellet, plant height and harvest index. Seed yield per plot had non-significant positive correlation with number of umbellets per umbel and non-significant negative correlation with days to 50 percent flowering. Path analysis revealed the highest positive direct effect of biological yield per plant, test weight and harvest index on seed yield per plot. The traits like number of umbellets per umbel, days to maturity, plant height and number of seeds per umbellet expressed low positive direct effect towards seed yield per plot while, number of umbels per plant and days to 50 percent flowering showed very low and negative direct effects on seed yield per plot. The screening results showed that out of 65 genotypes, none of the genotype was completely free from the disease. Two genotypes viz., ACr-1 and ACr-2 showed resistance, 49 genotypes were moderately susceptible while 14 genotypes were susceptible against stem gall disease. The essential oil content was highest in genotype CS-131 and lowest in genotype RD-416.Based on the mean performance of the genotypes, LCC-229, NDCOR-110, CS-131 and LCC-250 were found superior over checks for seed yield per plot and were also promising for other traits. These genotypes can be used in further hybridization programme to develop high yielding coriander varieties with desirable yield contributing characters.