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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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20201
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Subject: Genetics and Plant Breeding × Author: MEENA, JITENDAR KUMAR ×
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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.