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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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Subject: Agricultural Statistics and Informatics × End date: 1959 ×
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    ThesisItemOpen Access
    STATISTICAL ANALYSIS OF PRODUCTION AND PRICE OF COFFEE IN KARNATAKA
    (University of Agricultural Sciences GKVK, Bangalore, 18-11-11) YASHAVANTH, B. S; Munirajappa, R
    Coffee is a very important commercial crop of the tropics. Out of the total Indian coffee production, 65 per cent was contributed by Robusta coffee and the rest by Arabica coffee. In Karnataka, there are three major coffee growing districts viz., Chickmagalur, Kodagu and Hassan. Among these, Kodagu stands first in area (83,150 ha), production (73,940metric tonnes) and productivity (about 1,080 kg/ha). The present study was conducted using the information on yearly production (1973 to 2008), monthly wholesale prices and ICO Composite indicator prices (Jan-1995 to Dec-2008, for Karnataka and world market) collected from various published sources and from Coffee board, Bangalore. Polynomials of fifth degree are used to fit the trends in total production, production of Arabica and Robusta varieties. The coefficients are estimated using least square technique. The study shows that the total production, production of Arabica and Robusta varieties had increased over the years with a significant drop after 2002 for total and Arabica production. Box-Jenkins procedure was used to fit ARIMA models for the prices of Arabica and Robusta Coffee varieties. Since the price series were non-stationary, the differenced series were used. The study indicates that the price of Arabica coffee is linearly related to the past year’s prices and the price of Robusta coffee is linearly related to the previous year’s error terms and past year’s prices with existence of significant seasonal moving average (SMA) component. The unequal variance t- test was used to compare the price and production among Arabica and Robusta varieties of coffee. The study shows that there is significant difference between production and prices of Arabica and Robusta varieties of Coffee. Engel-Granger method of Cointegration analysis was employed to examine the extent of integration among World and Karnataka Coffee markets. The results of the cointegration tests showed that there is integration between Karnataka and World market prices in case of both Arabica and Robusta varieties of coffee.
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    ThesisItemOpen Access
    ESTIMATION OF RICE PRODUCTIVITY IN RELATION TO SPATIAL-THERMAL VARIATIONS–A STATISTICAL ANALYSIS
    (University of Agricultural Sciences GKVK, Bangalore, 10-08-12) YOGEESH, K J; Gowda, D M
    Climate change and agriculture production are interrelated process. Change in weather parameter at different stage of crop growth influence crop output. The present study attempt to analyse the impact of spatial –thermal variations on productivity of rice crop. The data of rice yield and weather variables were consider for the period of 1992 to 2011 for Mandya and Kathalagere locations. Trend analysis revealed that maximum and minimum temperature at the two locations selected for the study registered a positive trend. The trend analysis indicated minimum temperature registered negative trend during tillering stage at Mandya and germination stage at Kathalagere. The correlation between maximum temperature and productivity showed positive relationship during germination stage and negative relationship during flowering stage. Relative humidity and productivity were positively related during maturity stage. Multiple linear regression models indicated maximum temperature during germination and maturity stage for both the locations had significant impact on productivity. While maximum temperature during flowering stage had negative significant coefficient for both the locations. It reveals that increasing maximum temperature during flowering stage results in reduction of yield. Quadratic function fitted to estimate the optimal thermal regimes that facilitate to realize the potential yield of rice crop in both the locations. At Mandya the maximum temperature in the range from 290c to 31.50c and minimum temperature in the range from 18.50c to 20.50c and for Kathalagere the maximum temperature range from 290c to 310c and minimum temperature range from 190c to 200c to be ideal to trap optimum potential yield.