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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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2008 - 200912010 - 20182
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Author: RAMESH × Start date: 1985 × Type: Thesis × Thesis Type: M.Sc ×
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    ThesisItemOpen Access
    STATISTICAL ANALYSIS OF AREA, PRODUCTION AND PRODUCTIVITY OF COTTON CROP IN SELECTED DISTRICTS OF KARNATAKA
    (University of Agricultural Sciences, Bengaluru, 2018-09-01) RAMESH; Krishnamurthy, K. N.
    In the present study an attempt was made using secondary data for forty six years (from 1970 to 2016) to understand the growth rates and trend in area, production and productivity of cotton crop in selected districts of Karnataka viz., Dharwad, Ballari and Raichur. Further, forecast was made for the production of cotton crop. The results revealed that area, production and productivity of cotton crop marked significant increasing growth rate during the study period. In case of both Dharwad and Ballari districts, increasing growth in area, production and productivity was observed. Whereas, in case of Raichur district, a decreasing growth under area and an increasing growth in production and productivity was seen. The polynomial regression models were fitted to assess the trend in area, production and productivity of cotton crop. Based on adjR2 and RMSE values, it was evident that quadratic, cubic and linear models were best fit for area, production and productivity of cotton in Dharwad district. For Ballari district, quartic model was found to be best for area and production, while, cubic model was best fit for productivity. Similarly, for Raichur district, area and production was best fitted with quadratic model while, cubic model was best fit for productivity. Forecasting was carried out using ARIMA based on RMSE and MAPE values for production of cotton crop in selected districts of Karnataka. It was found that ARIMA (2, 1, 2) model was appropriate for both Dharwad and Ballari districts while, ARIMA (1, 1, 1) model was found to be most suitable for forecasting production of cotton in Raichur district.
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    ThesisItemOpen Access
    STATISTICAL ANALYSIS OF DEVELOPMENT PATTERN IN KARNATAKA
    (UNIVERSITY OF AGRICULTURAL SCIENCES GKVK, BENGALURU, 2015-11-11) RAMESH; Gowda, D. M
    There exists a variation in the level of development across nations, be it developed or developing. The development pattern is influenced by different sectors of the economy like the primary sector, secondary sector and the tertiary sector. The primary sector predominantly covers agriculture, animal husbandry, forestry etc. the secondary sector include the industry and manufacturing sector. The services sector comprises of banking, education, insurance, etc. Countries across the globe have concentrated on these three sectors in varying proportion to realize the growth potential of the economy. The primary focus of the Governments of the day is the total maximum welfare of its citizens. After independence, the Indian economy was characterized by not only stagnation but also wide regional disparities. The successive five year plans in India have focused on addressing this issue of regional disparity. The third five year plan (1961-66) document devoted a separate chapter on balanced regional development, identification of backward areas, indicators for development for different sectors and policies for the development of backward areas. Even the finance commission appointed by government of India have addressed to regional inequalities across states especially while exercising resource transfer from the center to the States.
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    ThesisItemOpen Access
    Genetic Variability for Morphological and Physiological traits related to Water Use Efficiency and Grain Yield in three different crosses of Rice (Oryza sativa L.)
    (UNIVERSITY OF AGRICULTURAL SCIENCES GKVK, BENGALURU, 2008-02-10) RAMESH; RAJANNA, M P
    Rice has adapted to complex environment niches. Accordingly, the current rice breeding programme is directed towards formulating effective selection procedures for target environment to improve polygenic traits like yield and yield contributing characters. One such target environment is breeding for high water use efficiency. Besides, making any meaning full selection it is pre-requisite to know the genetic variability, heritability and genetic advance for some of the important traits which contribute towards water use efficiency (WUE) and grain yield. With this background an experiment was conducted during summer 2007 in aerobic condition to study the F2 population of three cross combinations along with five parents in rice for 10 quantitative characters to know the genetics of water use efficiency based on relation between carbon isotope discrimination (Δ13C) and grain yield. High phenotypic coefficient of variation and genotypic coefficient of variation was noted for characters like productive tillers per plant, grains per panicle, harvest index and Δ13C. Discrimination studies were carried for all the F2 plants in three crosses along with the parents. The results confirmed that there exists an inverse relationship between Δ13C and grain yield in all the three crosses. Top ten transgressive segregants among the F2 population of three cross combination were selected based on Δ13C values and grain yield in comparison to both the parental values. F2 transgressive segregants Viz., 33, 417 of cross I and 194 of cross II were found to be outstanding with respect to grain yield coupled with low Δ13C values. Hence, selections for low Δ13C resulted in increased grain yield. Besides, Δ13C, selections of single plants based on productive tillers per plant, grains per panicle and grain yield will be effective since these traits showed high heritability coupled with high genetic advance. The superior transgressive segregants obtained in F2 population of three crosses can be advanced to further generations so as to stabilize the selections for higher water use efficiency and grain yield.