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Bihar Agricultural University, Sabour

Bihar Agricultural University, Sabour established on 5th August, 2010 is a basic and strategic institution supporting more than 500 researchers and educationist towards imparting education at graduate and post graduate level, conducting basic, strategic, applied and adaptive research activities, ensuring effective transfer of technologies and capacity building of farmers and extension personnel. The university has 6 colleges (5 Agriculture and 1 Horticulture) and 12 research stations spread in 3 agro-ecological zones of Bihar. The University also has 21 KVKS established in 20 of the 25 districts falling under the jurisdiction of the University. The degree programmes of the university and its colleges have been accredited by ICAR in 2015-16. The university is also an ISO 9000:2008 certified organisation with International standard operating protocols for maintaining highest standards in teaching, research, extension and training.VisionThe Bihar Agricultural University was established with the objective of improving quality of life of people of state especially famers constituting more than two third of the population. Having set ultimate goal of benefitting society at large, the university intends to achieve it by imparting word-class need based agricultural education, research, extension and public service.

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  • ThesisItemOpen Access
    Genetic Diversity in Chickpea (Cicer arietinum L.) under Normal and Late sown conditions
    (Department of Plant Breeding and Genetics, BAU, Sabour, 2017-07) Agrawal, Tajashwini; Kumar, Anand
    Chickpea (Cicer arietinum L.), a member of Fabaceae family, is one of the most important rabi pulse crops in India contributing 20% to the pulse production in world. The present investigation was carried out in 2016-17 (rabi season) in the area specified to pulse section in Bihar Agricultural University, Sabour (Bhagalpur) in order to screen 36 chickpea genotypes including 4 checks (PG-186, GCP 105, KWR 108, BG 372) for genetic variability, heritability and genetic advance using 16 quantitative traits under late and normal sown conditions. Also, correlation between yield and component traits and their direct and indirect effects were studied. In order to identify high yielding suitable parents for future breeding programme, genetic diversity analysis using Mahalanobis D2 statistics and SSR markers was performed. Significant treatment differences were found for most of the characters under study. For most of the traits, phenotypic coefficient of variation (PCV %) was higher than genotypic coefficient of variation (GCV %). Highest PCV % and GCV % were noted for grain yield per plant followed by biological yield and effective pods per plant under both, normal and late sown conditions. Pods per plant, seed index, plant height, grain yield per plant and yield in kg/ha were the key traits identified that can be used in selection for breeding programs. Genetic variation was also found for traits such as canopy temperature and chlorophyll index. Correlation analysis revealed that total as well as effective pods per plant under normal sown conditions and seed index under late sown conditions had positive and highly significant association with grain yield per plant and yield respectively. Effective pods per plant and biological yield per plant had maximum and positive direct effects on grain yield whereas plant height had highest negative direct effect on grain yield under normal conditions. However under late sown condition, chlorophyll index followed by total pods per plant showed significantly positive direct effects and days to maturity the vice versa. Mahalanobis D2 statistics revealed 7 clusters. Among the seven clusters, cluster II (13) and cluster IV (10) consisted maximum number of genotypes accounting to 36% and 27.8% in total genetic diversity under normal and late sown conditions respectively. Based on inter-cluster distances and mean performances of clusters for different traits, the advance breeding line among genotypes belonging to cluster VII and II (for normal sown) and cluster VII and cluster III (for late sown) are expected to produce desirable segregants for yield and other yield related traits. Seed index had largest contribution towards total divergence under both conditions.