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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.

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20043
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Subject: Agricultural Statistics and Informatics × Start date: 2004 × End date: 2004 ×
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    ThesisItemOpen Access
    STATISTICAL ANALYSIS OF PHEROMONE TRAP CATCHES OF Spodoptera litura (FAB.) IN GROUNDNUT ECOSYSTEM
    (University of Agricultural Sciences, Dharwad, 2004) RUDRASWAMY, S M; MEGERI, S N
    Weather of particular ecosystem plays a vital role in trapping of moths. The study was conducted to reveal the relationship of different weather parameters namely average weekly maximum temperature, minimum temperature, relative humidity, total rainfall and rainy days in a week with the moth catches of Spodoptera litura (F.) for the ten years data from 1989 to 1998. The data for S. litura moth catches and weather data were collected from Main research station, University of Agricultural sciences, Dhai^wad. Correlation analysis indicated significant positive correlation between weekly maximum temperature and moth catches of Spodoptera litura (F.) m all the ten years and also decade as a whole. Both average weekly minimum temperature and relative humidity are negatively correlated with moth catches. In the path analysis study direct effect from maximum temperature was almost equal to correlation coefficient between moth catches and maximum temperature. In case of other weather parameters direct effect was low compared to the correlation coefficient between moth catches of and respective weather parameters. Indirect effect through maximum temperature was major contributing factor. Different prediction models namely linear, quadratic, cubic, inverse, exponential, logarithmic, power and compound models have been tried to predict moth catches using individual weather parameters. Cubic model was found better followed by quadratic* model based on individual weather parameters in predicting moth catches in most of the years and decade as a whole. Step down multiple regression analysis has been carried out by taking all the weather parameters for predicting moth catches for individual years and decade as a whole, maximum temperature appears as a main contributing factor.
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    ThesisItemOpen Access
    STATISTICAL ANALYSIS OF PRICE FLUCTUATION IN TIMBER
    (UNIVERSITY OF AGRICULTURAL SCIENCES GKVK, BANGALORE, 2004) Basavarajaiah, D M; Bhat, A R S
    "For the present study Thithimathi Government Depot was selected as it is known for the valuable species such as Lagerstroemia lanceolata, Artocarpus hirsuta and Pterocarpus marsupium. Inspite of such fluctuations in price, interestingly no serious attempt has been made to analyse scientifically these changes and look for the reasons for such changes in price. Hence, it was thought that analysis of price fluctuation in timber would provide an insight into the reasons for such fluctuations, It is hoped that the identification of the causes would help the consumers as well as the suppliers in taking appropriate decisions. The demand for forest products is increasing, current demand for industrial wood is 27.9 m^ and the production is 12.8 m^. The precious natural wealth is contributing to plundered even today resulting in the degradation of forest. There has been steep rise in purchasing power of the people. Three notable timber of importance are Lagerstroemia lanceolata, Artocarpus hirsuta and Pterocarpus marsupium. .The secondary data was pertaining to full till the objectives of study. Trend vary with the species to species. For the Pterocarpus marsupium wood, the cyclical and seasonal variation was done completely absent it may be due to scarcity supply of wood. However, it increases or decreases over a period of time. CIB class of Artocarpus hirsuta was significantly differed from other. However, length and girth influences the price variation. Hedonic price analysis was employed to determine the value addition of characteristics of price variation in timber.. Time series analysis and CGR was used on original price data of three species like Lagerstroemia lanceolata, Artocarpus hirsutus and Pterocarpus marsupium to study the irregular variation in timber price movement."
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    ThesisItemOpen Access
    STATISTICAL ANALYSIS OF GROWTH OF TEAK AS INFLUENCED BY ECOLOGICAL FACTORS IN WESTERN GHATS OF KARNATAKA
    (UNIVERSITY OF AGRICULTURAL SCIENCES GKVK, BANGALORE, 2004) Madhu, S C; Katark, P A
    "Statistical analysis of growth of teak is influenced by ecological factors is generally aimed at identifying optimum ecological conditions required for the better growth of teak. Five forest ranges of Western Ghat namely Dharwad, Haliyal, Dandeli, Sirsi and Banavasi were evaluated for various growth parameters to access the influence of ecological factors. Ecological factors includes rainfall, altitude and various edaphic factors. The growth of teak in terms of diameter (0.5538 m), height (14.07 m) and volume (0.2063 m^) was found to have a higher values in Dandeli forest range and Sirsi forest range have a higher values of basal area (0.2063 m^) and these two forest ranges were characterized by high rainfall and high altitude. But, poor growth of teak was noticed under low rainfall and higher altitude. Among the various edaphic factors considered bulk density and particle density have a significantly correlates with all the three growth parameters except diameter but in case of porosity it was required i.e., it has significanth' correlated with diameter only. The pH and electrical conductivity has no substantial effect on growth parameters studied. Nitrogen and phosphorus in soil exhibited positive association with various growth parameters and are significantly correlated, but potassium had a significant result with diameter and basal area and non-significant results with height and volume. When, we consider the growth of teak over the years from its initial stage, we observed that the growth was linear over the years. The maximum increment in height was noticed upto the age of 18 years and then it reduces in the later years. But, care of diameter, minimum increment was observed in the early years and maximum in later years. As the rainfall and altitude increases the growth also increase and if rainfall and altitude decreases then growth also decrease."