Loading...
University of Agricultural Sciences, Dharwad
The University of Agricultural Sciences, Dharwad was established on October 1, 1986.
The University has 5 Colleges, 27 Research Stations, 6 Agriculture Extension Education Centers, 6 Krishi Vigyan Kendras and ATIC. The University has its jurisdiction over 7 districts namely Bagalkot, Belgaum, Bijapur, Dharwad, Gadag, Haveri, and Uttar Kannada in northern Karnataka. Greater diversity exists in soil types, climate, topography cropping and farming situations. The jurisdiction includes dry-farming to heavy rainfall and irrigated area. Important crops of the region include sorghum, cotton, rice, pulses, chilli, sugarcane, groundnut, sunflower, wheat, safflower etc. The region is also known for many horticultural crops.
Considerable progress has been registered in the field of education, research and extension from this University.
Browse
10 results
Search Results
ThesisItem Open Access Price behaviour of mulberry silk cocoon in Ramanagar and siddlaghatta market - A statistical analysis(UAS, Dharwad, 2009) R.P.Bharathi; Y.N.HavaldarSilk is the queen of textiles, have endearing qualities such as natural sheen, light weight with high durability. The present study was conducted to study the fluctuations in silk cocoon prices in Ramnagar and Siddlaghatta markets. The information on prices and arrivals of cocoon were collected from the respective markets for the study period from 1998-99 to 2007-08. In case of arrivals, the growth rate was found to be positive and significant in Ramnagar and Siddlaghatta markets. But in case of prices, the growth rate was found to be negative and non-significant in both the markets. Seasonal indices of arrivals and prices of cocoon in Ramnagar market revealed that the highest arrival index was noticed in the month of March (139.00) and the highest price index was noticed in the month of February (109.53). Similarly in Siddlaghatta market, the highest arrival index was noticed in the month of March (125.74) and the highest price index was noticed in the month of April (110.23). No cyclical index was observed in both arrivals and prices of cocoon in both the markets. The data was fitted to sixth degree polynomial and the increasing trend was observed for arrivals in both Ramnagar and Siddlaghatta markets. Negative relationship between arrivals and prices was noticed for Ramnagar market and then negative and significant relationship was observed for Siddlaghatta market. In concurrent deviation method, positive relationship was noticed for arrivals between Ramnagar and Siddlghatta markets. Similarly positive relationship was recorded for prices between Ramnagar and Siddlaghatta markets. Forecasted values of arrivals showed an increasing trend and prices showed decreasing trend in Ramnagar markets. Similarly forecasted values of arrivals showed an increasing trend and prices showed decreasing trend in Siddlaghatta market.ThesisItem Open Access Application of univariate and multivariate techniques in evaluation of chickpea (Cicer arietinum L.) genotypes(UAS, Dharwad, 2009) Tanveer.Ahmed Khan; A.R.S.BhattThe role of statistics in research is to function as a tool in designing research and drawing conclusions their form. A Plant Breeding Experiment was tried for the evaluation of 175 Genotypes of Chickpea with two replications under RCBD. Statistical tools that are used to obtain the accurate results with minimizing the errors in the experiment which includes Analysis of Variance (ANOVA), Analysis of Co-Variance (ANCOVA), Nearest Neighbor Analysis (NNA), and Multivariate Analysis of Variance (MANOVA). The Efficiency of genotypes as measured by using Scaling technique and Linear Discriminant Analysis (LDA). The observations recorded for plant height, number of branches per plant, days to 50% flowering, number of pods per plant, wilt index at 1st, 2nd and 3rd stage and total yield of crop .The soil pH is used for the purpose of ANOVA, ANCOVA and NNA. ANOVA was found significant with respect to all the variables both at 5 percent and 1 percent level of , except days to 50% flowering and soil pH. Whereas it has found Significant in ANCOVA when they were taken as covariate for total yield of genotype. The relative efficiency of ANCOVA is observed on par with the ANOVA. NNA methods were used to remove spatial trends and correlated errors between adjacent plots. The higher yield in variance and covariance techniques is due to influence of spatial effect which has removed in NNA technique. The wilk’s L criteria has found significant in MANOVA at 1percent level of for all eight characters .In Scaling technique 67genotypes were classified under best performing. In medium and poor performing genotypes 51and 57 have identified respectively. An overall 79.4 percent of original grouped genotypes under Scaling technique were correctly classified under LDA also.ThesisItem Open Access Developing statistical models to study the growth and instability in oilseed production of Karnataka(UAS, Dharwad, 2009) Deepak B.Joshi; P.A.KatarkiThe Study concerning with developing statistical models to study the growth and instability in oilseed production of Karnataka was carried out at College of Agriculture, Dharwad during 2007-2009. For this study 26 years data on area, production and yield for four important oilseed crops viz, Groundnut, Safflower and Sesame and Sunflower was collected for 20 districts of Karnataka from the crop reports complied by Directorate of Economics and Statistics, Bangalore. Growth rates were found out by using different models. Variability between two periods, districts and crops were tested. Among the oilseeds considered for the study Groundnut, Safflower and Sesame showed increasing trend in period-I (1980-81 to 1993-94) while sunflower has showed decreasing trend. And in period-II (1994-95 to 2005-06) only sunflower has shown positive trend for production. The groundnut area in period-I showed increasing trend except in Belgaum district. In period-II all the districts showed negative trend except Belgaum. With respect to yield the significant negative trend was noticed in Kodagu district. The sunflower area has shown positive trend in period-II. Almost all districts show significant increse during period-II. With respect to yield in period-II almost all of the districts showed incresing trend, except Belgaum, Bidar, Bijapur, Dakshin Kannada, Dharwad, Kodagu, Mandya and Mysore. Sesame area for period-I has shown the decreasing trend in Bangalore and Bellary. Where as for period-II Bangalore, Bellary and Chikmagalur showed positive trend. With respect to yields increasing trend has been observed in all districts for period-I except Kodagu district. The safflower area in period-I showed acceleration while in period-II it has decreased. With respect to yield almost all districts showed decreasing trends. The Chitradurga district showed significant decrease in yields during period-I In almost all models the cubic model was found to be better as compared to others.ThesisItem Open Access Prediction models in teak based agroforestry systems in northern transitional zone of Karnataka(UAS, Dharwad, 2009) H.M.Chethana; S.N.MegeriThe study was conducted based on secondary data collected from AICRP on agroforestry, UAS Dharwad. The main objectives of the study were to predict the yield of teak and agriculture crop and to fit growth curves for measuring identified parameters in teak based agroforestry systems. To study the influence of perennial crop in relation to associated field crop in teak based agroforestry system and for studying the economics of teak based agroforestry systems. The data pertaining to yield of teak and associated agriculture crop at different spacing combinations Viz., 10m and 20m spacing between two rows of teak were collected. In predicting diameter growth MMF model was found to be the best followed by Gompertz and Weibull models for both 10m and 20m spacing combinations. In predicting the height growth in 10m spacing, MMF model is again found to be the best followed by Weibull and Richards model. For 20m spacing combination, the models were MMF, Logistic and Weibull. MMF model was used to predict the diameter and height of the teak crop for the future years because the model’s R2 was found to be high and less standard error. To study the influence of the tree crop on the associated field crop the yield of field crops at different distance from the tree components was taken and changes were studied. It was found that in the initial years when the height of the tree component was less the yield levels of field crop were high and as the height increases, decreasing trend is noticed in the field crop. It was also found that net income from agroforestry systems was very high compared to that of sole farming. Field crop+teak combination ranks first followed by field crop+teak+grass and field crop+teak+subabul which are on par with AICRP results.ThesisItem Open Access A statistical study on the impact of rain water harvesting on farming economy(UAS, Dharwad, 2009) K.S.Shwetha; K.V.AshalathaPresent investigation was carried out in Dharwad taluk to study the influence of weather parameter on ground water level, impact of rain water harvesting structures on farming economy and constraints in adoption of rain water harvesting structures. Secondary data on weather parameters viz., rainfall, temperature, relative humidity and wind speed were collected from District Statistical Office Dharwad and data on ground water level was collected from Department of Mines and Geology, Dharwad. The collected data was subjected to correlation analysis, linear, polynomial regression and backward regression techniques. The results of the analysis indicated that the weather parameter was significantly correlated with rainfall (positively) and temperature (negatively). Polynomial model of 5th order was found better among all models used for prediction of ground water level using rainfall. In case of temperature linear model was found better. The Markov chain analysis of rainfall and ground water level indicated that around 46 per cent of the wet years were observed in the study area. Therefore the study area can be considered as mild to moderate drought prone area. The primary data for the study was collected using prestructured schedules. The sample farmers included both beneficiaries and non beneficiaries of RWHS. Statistical tools like t-test and Chi-square test have been used to evaluate the impact of rain water harvesting (RWH) on farming economy in Dharwad taluk. The study indicated that the farmers of with RWHS were found to have positive impact on land holding, cropping intensity. Investment of farmers of with RWHS indicated favorable results in terms of B: C ratio.Present investigation was carried out in Dharwad taluk to study the influence of weather parameter on ground water level, impact of rain water harvesting structures on farming economy and constraints in adoption of rain water harvesting structures. Secondary data on weather parameters viz., rainfall, temperature, relative humidity and wind speed were collected from District Statistical Office Dharwad and data on ground water level was collected from Department of Mines and Geology, Dharwad. The collected data was subjected to correlation analysis, linear, polynomial regression and backward regression techniques. The results of the analysis indicated that the weather parameter was significantly correlated with rainfall (positively) and temperature (negatively). Polynomial model of 5th order was found better among all models used for prediction of ground water level using rainfall. In case of temperature linear model was found better. The Markov chain analysis of rainfall and ground water level indicated that around 46 per cent of the wet years were observed in the study area. Therefore the study area can be considered as mild to moderate drought prone area. The primary data for the study was collected using prestructured schedules. The sample farmers included both beneficiaries and non beneficiaries of RWHS. Statistical tools like t-test and Chi-square test have been used to evaluate the impact of rain water harvesting (RWH) on farming economy in Dharwad taluk. The study indicated that the farmers of with RWHS were found to have positive impact on land holding, cropping intensity. Investment of farmers of with RWHS indicated favorable results in terms of B: C ratio.ThesisItem Open Access Application of Multivariate Techniques In Evaluation of Sunflower Genotypes (Helianthus annus L.)(UAS, Dharwad, 2005) B.S.Therthappa; A.R.S.BhattSunflower (Helianthus annuus) a member of family Asteraceae, is an important edible oilseed crop originated in the central high lands of Mexico and USA and was introduced to India during 1916. Commercial cultivation of sunflower was started in India during 1972 after the introduction of Russian varieties EC 68414 and EC 68415. Twenty six genotypes of sunflower (Helianthis annus) were studied based on eight characters to ascertain the correlation and path coefficient effect of yield and yield components, prediction of seed yield and the magnitude of genetic divergence. Different prediction models namely Liner, Quadratic, Cubic, Inverse, Exponential and Logarithmic models have been tried to predict seed yield of sunflower with the help of individual yield contributing characters. Quadratic model found better followed by cubic model based on individual yield characters in predicting seed yield. Step wise multiple regression has been carried out by taking all the yield contributing characters of sunflower, days to 50 per cent flowering, head diameter and disease at second stage was found better in predicting seed yield. The 26 genotype were found to possess higher magnitude of genetic diversity as evident from the canonical variate analysis and D2 analysis. Clustering based on deviation from regression to categorize the genotypes in to high, low and medium yield groups. Since, the yield is an important character of the genotypes. The entries 4, 11, 13, 16, 18, 19 and 23 are grouped under high yield groups and rest of others grouped under medium yield group. In this method of grouping we are interested in high and low yielding groups. Here we considered only high yielding groups for further applicationThesisItem Open Access Development of Statistical Model For Comparision of Wheat Genotypes(UAS, Dharwad, 2005) N.O.Pradeepkumar; Y.N.HavaldarIn order to asses the best general and specific combiners among 12 dicoccum wheat genotypes and to find out the relationship between genetic divergence among the parents and heterosis for grain yield, an investigation was undertaken. The data were collected from Dr. Sanjaya Rajaram Wheat Laboratory, MARS, UAS, Dharwad. The data subjected to Griffing’s method 2, model I for half diallel analysis. ANOVA was carried out to find out the variance associated among the genotypes for 17 characters under both timely and late sown conditions. Estimation of general combining ability effects was undertaken. The genotypes DDK- 1001, DDK-1013, DDK-1017, and MACS-2925 identified as the best general combiners in timely sown condition as well as in late sown condition. In specific combining ability effects estimation, the crosses DDK-1001 x MACS-2928, DDK-1009 x DDK-1013, DDK-1001 x MACS-2912, DDK-1013 x MACS-2931, DDK-1001 x MACS-2931 and DDK-1017 x MACS-2928 were the best specific combiners in timely sown condition. In late sown condition the crosses DDK-1001 x DDK-1009, MACS-2928 x LKDK- 247, DDK-1013 x DDK-1017, DDK-1001 x LKDK-247, NP-200 x DDK-2931, DDK-1009 x DDK-1017 and DDK-1001 x MACS-2928 were identified as the best specific combiners. The crosses DDK-1001 x MACS-2928, DDK-1009 x DDK-1013, NP-200 x LKDK-247, DDK-1013 x MACS-2920, HW-2000 x LKDK-247, MACS-2912 x MACS-2928, DDK-1017 x MACS-2912, DDK-1001 x MACS-2912, NP-200 x MACS-2925 were recognized as the best specific combiners under both the conditions. To find the divergence among the genotypes Mahalanobis D2 analysis and Tocher’s method was carried out for clustering the genotypes. Two clusters were formed under both the conditions. Heterosis for grain yield over better parent carried out in both conditions to relate the parental divergence with heterosis. It was found that most of heterotic crosses for grain yield over better parent could be obtained from the optimum divergent group of parents.ThesisItem Open Access Statistical analysis on rare, endangered and threatened (ret) medicinal plants in sacred groves of Kodagu, central western ghats(UAS, Dharwad, 2005) C.R.Vijay; P.A.KatarkiSacred groves are unique landscapes and relies of original vegetation being preserved under community conservation concept. The assessment of population status of RET species was carried out in the sacred groves of Kodagu district. The growing stocks and regeneration status of RET species with respect to their potential spatial distribution that are influenced by ecological factors was assessed in ten sacred groves under semi-evergreen and seven groves under moist-deciduous vegetation. Species diversity of trees (H =2.570) and regeneration (H =3.673) and richness of both trees (17) and regeneration (8.00) were higher in sacred groves of semi-evergreen than that of moist deciduous vegetation. With respect to spatial pattern of RET trees Cannarium strictum showed clumped pattern ( 2 = 8.7042) where as other species showed neither clumped nor random pattern. In spatial distribution pattern of regeneration only Artocarpus hirsutus showed clumped pattern (x2= 6.6716). Assessment of species abundance was also done from data of both vegetation types. Cinommomum macrocarpum acquired first position (398) with relative abundance (0.3376) in case of growing stock and also in regeneration with recorded number of 245 individuals and relative abundance of 0.4890. while considering individual vegetation type, Cinommomum macrocarpum had 723 and 275 individuals in sacred groves of semi-evergreen and moist deciduous vegetation respectively. From the pooled data of regeneration of both vegetation types, the abundance with individuals of 188 and 157 and with relative frequency of 0.5000 and 0.4830. Regarding assessment of influence of ecological factors on population of RET species, the ecological parameters such as latitude, longitude and rainfall had significant influence on girth, height and basal area (r = 0.630, 0.49 and 0.597) respectively. The present study confirms the hypothesis that mild disturbance had great influence on higher density of RET medicinal species.ThesisItem Open Access A Statistical study of variation in arrivals and prices of potato in the selected markets of Karnataka(UAS, Dharwad, 2005) H.Gangadharappa; S.N.MegeriPotato is an edible starchy tuber produced by certain plants of the genus – solanum and family – solanaceae. Potato is the fourth most important food crop in the world exceeded only by wheat, rice and maize for human consumption. The present study was conducted in Bangalore, Belgaum, Kolar, Hassan and Hubli markets during 1996-97 to 2003-04. The secondary data pertaining to monthly model price rupees per quintal, monthly total arrivals in quintals were collected from Karnataka State Agriculture Marketing Board, Bangalore. For evaluation of different objectives, multiplicative time series analysis, two way ANOVA, correlation coefficient, co-integration test and ARIMA model were used. The study shows, the peak arrivals season in the months of August, September and October, whereas the prices are high during April, June and July months were observed in all the selected markets. It was noticed in all the selected markets that there was an positive trend. The arrivals have increased in all the selected markets except in Hubli market, but the quantum of increasing arrivals varies from market to market. The cyclical component was not found in all the selected markets for both arrivals and prices. The correlation coefficients were calculated between the arrivals and prices of all the selected markets, which indicated that the coefficient are significant except Bangalore market. All the selected markets are integrated with zero order of integration. Since, the trend forecast is not precise for owing to non-stationarity of data, it is not always reliable. So, Box-Jenkin’s method is applied for precise forecasting of arrivals and prices of potato for monthly data to all the selected markets.