Loading...
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.
Browse
Search Results
ThesisItem Embargo STATISTICAL ANALYSIS OF COST OF CULTIVATION OF MAJOR CEREAL CROPS OF KARNATAKA(University of Agricultural Sciences, Bangalore, 2022-12-12) CHETANA, B GULARADDI; SURENDRA, H SCereals have been considered as the principal component of human diet for thousands of years and have played a major role in supplying nutrients to human civilization. Cereals represent around 37 per cent of the total cultivated land in Karnataka state. For the current study three major cereal crops such as Rice, Maize and Jowar was considered. In this research, an effort was made to study the growth rate and trend in area, production and productivity of major cereal crops of Karnataka state using Linear, Quadratic, Cubic, Exponential and Log-logistic model by considering secondary data for the time period of 15 years from 2005-06 to 2019-20. The best fit model model was selected based on the minimum value RMSE. Linear, exponential and cubic models were found to be best fit. Here in this research an attempt was made to evaluate growth rate in area, production and productivity of major cereal crops in Karnataka using compound growth rate formula. Growth rate was found to be decreasing for both Rice and Jowar but for Maize crop the growth rate was increasing in nature. Further the attempt was made to measure the change in composition that is resource use efficiency was estimated using cobb-douglas production function. It is observed that for both Rice (1.253) and Jowar (1.614) returns was found to be increasing where as decreasing returns was observed for Maize crop (0.699).ThesisItem Open Access STATISTICAL MODELS FOR ANALYSING FRUIT FLY INCIDENCE OF BITTER GOURD IN BENGALURU RURAL DISTRICT(University of Agricultural Sciences, Bangalore, 2022-01-13) KARTHIK, M. N.; MOHAN KUMAR, T. L.The present study was undertaken to analyse the distribution pattern, correlation with weather parameters and prediction of fruit fly incidence on bitter gourd during Kharif season for the data collected from IIHR, Hessaraghatta, Bangalore for the period of three year (2018-2020). The average, maximum and minimum incidences of fruit fly was observed 47.81, 138 and 2 number respectively over the study period. One way ANOVA revealed that the average fruit fly incidence was found to be non-significant among the three study years. To determine the distribution pattern of fruit fly incidence, discrete probability distributions viz. Poisson, geometric, negative binomial, logarithmic, zeta and Yule-Simon distributions were employed. The negative binomial distribution was found to be the best fitted distribution during 2018 and 2019, whereas geometric distribution was best fitted distribution during 2020. Correlation analysis revealed that the fruit fly incidence across the year showed positive correlation with maximum temperature, morning relative humidity, evening relative humidity and evaporation whereas, minimum temperature, wind speed and rainfall showed negative correlation. Multiple Linear Regression (MLR), Support Vector Regression (SVR) and Artificial Neural Network (ANN) models were employed to predict fruit fly incidence based on weather parameters. Based on the lowest MAPE value, ANN model was found to be best-fitted model followed by SVR and MLR models on both training (16.82 %) and testing datasets (6.33 %), which indicates superiority of ANN model over other models. Therefore, ANN model can be used for predicting fruit fly incidence in bitter gourd.ThesisItem Embargo STATISTICAL ANALYSIS OF AREA, PRODUCTION AND PRODUCTIVITY OF PADDY CROP IN SELECTED DISTRICTS OF ANDHRA PRADESH(University of Agricultural Sciences, Bangalore, 2022-12-23) GANESH, V; GOPINATH RAO, MIn the present study an attempt was made using secondary data for the period of 23 years (1997 to 2019) to understand the trend in area, production and productivity of paddy crop in selected three districts of Andhra Pradesh viz., East Godavari, Krishna and West Godavari district. Forecast was made for the production of paddy crop and further study carried to identify structural change in area and productivity of paddy crop. Trend analysis was performed by fitting different models such as linear, quadratic, cubic, exponential and log-logistic model. Based on the minimum MAPE value, it was evident that exponential model was best fit for area and cubic model were good fit for production and productivity of paddy in East Godavari district. Exponential model good fit model for area and productivity of paddy and linear model was found better model for production in Krishna district. For West Godavari district linear model was best for area and cubic model were deemed to be the good model for production and productivity. Study also focused to forecast the production of paddy crop in selected district based on the best fitted model for next 5 years. East Godavari and West Godavari districts shows increasing trend while Krishna district shows decreasing trend. The structural break of area and productivity of paddy in East Godavari, Krishna and West Godavari was observed during the post 2000 periodsThesisItem Embargo STATISTICAL ASSESSMENT OF MAJOR CROPS IN UNDIVIDED BALLARI DISTRICT OF KARNATAKA(University of Agricultural Sciences, Bangalore, 2022-12-20) SANGANABASAVA, METI; MEGERI, S NAn effort was made to analyse the trends in area and production of major crops (paddy, maize, cotton, and dry chilli) by considering the data of 23 years i.e., from 1997- 98 to 2019-20 in the undivided Ballari district of Karnataka. The models used for trend analysis included linear, quadratic, quartic, exponential, log-logistic, and GAM models. The model with the least MAPE was chosen as the best fit. GAM was the best-fitting model for maize and cotton area and production. The same model performed well for maize and dry chilli production; quartic and quadratic models were the best fit for the areas of maize and dry chilli, respectively. Based on the best-fit model, the study was also extended to forecast the production of major crops in the district for the next five years, and the results revealed that there is, an increasing trend in production of paddy, maize, and dry chilli, while a slight decreasing trend was observed in cotton production. In addition, an attempt was made to analyse the extent of agricultural diversification in the district, which was studied using the Herfindahl, Simpson, and Entropy indices, and sixteen major crops were considered for the study. From 2000-01 to 2019-20, the district demonstrated greater diversification across all three indices. Furthermore, the entire study period was divided in to two decades for better comparison and the results suggests that both decades are highly diverse, with the first decade being more diverse than the second.ThesisItem Embargo STATISTICAL ANALYSIS OF PRODUCTION IN MAJOR OILSEEDS IN SELECTED DISTRICTS OF KARNATAKA(University of Agricultural Sciences, Bangalore, 2022-12-20) RAMESH, KETANNAVAR; SURENDRA, H SAn effort was made to analyse the trends in area and production of major oilseed crops (Groundnut, Soybean and Sunflower) in selected districts of Karnataka state, using linear, quadratic, cubic, exponential and log-logistic model for the time period of 1997- 2019. The best fit model was selected based on the minimum MAPE value and highest R2 value. Log-logistic model was the best fitted model for area under groundnut and for production log-logistic, exponential and cubic models were the best fitted in Tumkur, Chitradurga and Dharwad district respectively. For soybean, linear model was best fitted for area in Belagavi, log-logistic model was best fit for both Bidar and Dharwad. While, for production exponential worked best fit in Bidar and Belagavi, whereas cubic model worked best in Dharwad. For sunflower, the log-logistic model had the best area fit, while the log-logistic, cubic and quadratic models had the best production fit in the Vijayapura, Kalaburagi, and Raichur districts, respectively. Further, an attempt was made to identify the suitable weather parameters influencing the production of selected oilseed crops, considering production as dependent variable and using rainfall, maximum temperature, minimum temperature, wind speed and relative humidity as independent variables. Multicollinearity was not seen among the independent variables. Multiple linear regression (MLR) model and stepwise multilinear regression (SMLR) model, were tried to identify the weather parameters. It is observed that rainfall had the significant influence on production for most of the crops and less significant influence was seen from the otherweather parameters.ThesisItem Embargo MODEL BASED STATISTICAL INVESTIGATION OF SELECTED RABI CROPS IN DHARWAD DISTRICT OF KARNATAKA(University of Agricultural Sciences, Bangalore, 2022-12-16) ARCHANA VEERANAGOUDA, PATIL; MEGERI, S NIn this study, an effort was made to analyze the trends in area, production and productivity of selected rabi crops (Chickpea, Wheat, Sorghum, Safflower) for a period of 23 years from 1997 to 2019 in Dharwad district of Karnataka. Linear, quadratic, cubic, quartic, exponential and log-logistic models were used for trend analysis. The best fit model was selected based on the least MAPE. Quartic model was the best fitted model for area of chickpea and sorghum. Same model was the best fit for productivity of all selected rabi crops. Quartic model was also fit the best for the production of selected rabi crops except chickpea. Exponential, log-logistic and cubic models were the best fit for production of chickpea, area of wheat and safflower respectively. Further, an attempt was made to predict the production of rabi crops based on best fit model. Increasing trend was noticed in all the crops for next five years in production. The extent of agriculture diversification in Dharwad district was studied using Herfindahl, Simpson and Entropy indices by considering sixteen major crops viz rice, wheat, sorghum, maize, chickpea, minor pulses, groundnut, safflower, sunflower, soyabean, sugarcane, cotton, garlic, coriander and fruits and vegetables. District showed greater degree of diversification under all three indices for entire study period from 2000-01 to 2019-20.ThesisItem Open Access TESTS FOR NON-STATIONARITY OF TIME SERIES - A CASE OF FOOD GRAINS OF KARNATAKA(UNIVERSITY OF AGRICULTURAL SCIENCES GKVK BANGALORE, 1998-12-29) JAYASHREE, A.S.; GOPINATH RAO, M.ThesisItem Open Access A STATISTICAL APPRAISAL OF BIO-DIVERSITY MEASURES(UNIVERSITY OF AGRICULTURAL SCIENCES GKVK BANGALORE, 2001-10-24) KUMAR SAHU, PRASANTA; SRIDHARA, Dr. H.ThesisItem Open Access MULTIVARIATE HERITABILITY SOME STUDIES ON THE DEVELOPMENT OF THE CONCEPT AND ESTIMATION PROCEDURES(University of Agricultural Science, BANGALORE, 1996) ARVIND KUMAR SINGH; SRIDHARA, HAbstract not available
- «
- 1 (current)
- 2
- 3
- »