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University of Agricultural Sciences, Bengaluru

University of Agricultural Sciences Bangalore, a premier institution of agricultural education and research in the country, began as a small agricultural research farm in 1899 on 30 acres of land donated by Her Excellency Maharani Kempa Nanjammanni Vani Vilasa Sannidhiyavaru, the Regent of Mysore and appointed Dr. Lehmann, German Scientist to initiate research on soil crop response with a Laboratory in the Directorate of Agriculture. Later under the initiative of the Dewan of Mysore Sir M. Vishweshwaraiah, the Mysore Agriculture Residential School was established in 1913 at Hebbal which offered Licentiate in Agriculture and later offered a diploma programme in agriculture during 1920. The School was upgraded to Agriculture Collegein 1946 which offered four year degree programs in Agriculture. The Government of Mysore headed by Sri. S. Nijalingappa, the then Chief Minister, established the University of Agricultural Sciences on the pattern of Land Grant College system of USA and the University of Agricultural Sciences Act No. 22 was passed in Legislative Assembly in 1963. Dr. Zakir Hussain, the Vice President of India inaugurated the University on 21st August 1964.

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20011
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Subject: Agricultural Statistics and Informatics × End date: 2003 × Start date: 2000 ×
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    ThesisItemOpen Access
    DEVELOPMENT OF EMPIRICAL CROP LOSS MODELS IN GROUNDNUT (Arachis hypogaea L.) AFFECTED BY LATE LEAFSPOT AND RUST
    (UNIVERSITY OF AGRICULTURAL SCIENCES GKVK BANGALORE, 2001-08-13) CHANDRAN, K.P.; ASHALATHA, K. V.
    In the present study, an attempt was made to have an insight into the yield loss mechanism in groundnut (Arachis hypogaea L.) in presence of the fungal diseases viz., late leafspot and rust. Analysis of variance of yield and disease variables, revealed that there existed significant variations among the genotypes under study, both for yield potential and response to diseases. Moreover, disease severity was more in late sown trial and thus low yield, as compared to the early sown trial. Simple linear regression models of yield loss on disease variable at each stage, revealed that in early sown trial for pod, kernel and fodder loss, disease at 85th day after sowing DAS) was having more explanatory value compared to other stages, while it was 65th DAS for oil loss (based on r^). In late sown trial, explanatory value of the models were low, comparatively and better results were obtained with disease at 95th DAS for all yield loss variables. AUDPC models, polynomial and non linear models could not explain the variations in yield loss more precisely than the models with single point disease variables. Multiple point linear regression models of yield loss on disease at different stages taken together, improved the explanatory value, but could not explain the variation precisely. Stepwise regression analysis on disease variable and physiological traits like leaf area index, harvest index, partitioning coefficient and growth rates improved the R2 value of the models considerably, both in early and late sown trials. Grouping of genotypes with pod loss and disease variables using Mahalonobis D2 showed similar results in both trials, where variety TAG 24, which show moderate yield loss even at high disease severity, was grouped separately.