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ThesisItem Open Access FORECASTING MODELS FOR INSECT PESTS AND DISEASE IN SOYBEAN (Glycine max (L.) Merill)(University of Agricultural Sciences, Dharwad, 2003) JHA, RAJIV KUMAR; KATARKI, P AABSTRACT NOT AVAILABLEThesisItem Open Access STATISTICAL EVALUATION OF PRICE VARIATION IN TROPICAL TIMBERS [Teak (Tectona grandis Linn.), Rose wood (Dalbergia latifolia Roxb.) and Yellow teak (Adina cordifolia Roxb.)](University of Agricultural Sciences, Dharwad, 2002) VASANTHA KUMAR, T; BHAT, A R SABSTRACT NOT AVAILABLEThesisItem Open Access MODELS OF PRODUCTION AND MARKETING OF ONION AND SPACE-TIME MARKET INTEGRATION MODEL OF ARRIVALS AND PRICES OF ONION IN NORTH KARNATAKA(University of Agricultural Sciences, Dharwad, 2001) KAMBLE, A S; HAVALDAR, Y NABSTRACT NOT AVAILABLEThesisItem Open 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 NWeather 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.ThesisItem Open Access DEVELOPMENT OF EMPIRICAL CROP LOSS MODELS IN GROUNDNUT (Arachis hypogaea L.) AFFECTED BY LATE LEAFSPOTAND RUST(University of Agricultural Sciences, Dharwad, 2000) Chandran, K P; Ashalatha, K V"In the present study, an attempt was made to have am insight into the yield loss mechanism in groundnut [Arachis hypogaea L.) in presence of the fungal diseases viz., late leafspot and rust. Analysis of variance of yield and disease variables, revealed th a t there existed significant variations among the genotypes under study, both for yield potential and response to diseases. Moreover, disease severity was more in late sovra trial and th u s low yield, as compared to the early sown trial. Simple linear regression models of 3deld loss on disease variable at each stage, revealed that in early sown trial for pod, kernel and fodder loss, disease a t 85th day after sowing (DAS) was having more explanatory value compared to other stages, while it was 65th DAS for oil loss (based on r2). In late sown trial, explanatoiy value of the models were low, comparatively and better results were obtained with disease at 95th DAS for all yield loss variables. AUDPC models, polynomial and non linear models could not explain the variations in yield loss more precisely than the models with single point disease variables. Multiple point linear regression models of yield loss on disease a t different stages taken together, improved the explanatory value, b u t could not explain the variation precisely. Stepwise regression analysis on disease variable and physiological traits like leaf area index, harvest index, partitioning coefficient and growth rates improved the value of the models considerably, both in early and late sown trials. Grouping of genotypes with pod loss and disease variables using Mahalonobis D2 showed similar results in both trials, where variety TAG 24, which show moderate yield loss even at high disease severity, was grouped separately."ThesisItem Open Access EVALUATION OF STATISTICAL MODEL FOR NUTRITIONAL STATUS(University of Agricultural Science, Dharwad, 2002) Patil, Rashmi S; Megeri, S N"The term 'adolescence' comes from Latin word adolescere, meaning ""to grow"" or ""to grow to maturity"". It comprises of the penod from 13-18 years for girls and 14-18 years for boys. They contribute to the human potential and impart strength to the nation economy and development; hence the nuthtional status is of great significance. Nutritional status of adolescent girls of residential and non- residential schools was assed by nutritional anthropometry and diei survey. The anthropometnc measurements were compared with Indian and International standards to know the nutritional status by using Z-test. Good nutritional status of the subjects can be seen only if good nutritious food reaches to every section of the people i.e., the benefits should be distributed evenly in the entire population. The intra and inter variations in calone intake among different age group and schools should be minimum. The distnbution of calorie intake per consumption unit is more important than the mean level compansons. Therefore appropriate distributions for the data of Calorie intake per consutnption unit for both the population were tried, the log normal and normal distributions were found appropriate."ThesisItem Open Access EFFECT OF ROW SPACING AND FERTILIZER LEVELS ON GROWTH AND YIELD OF GROUNDNUT GENOTYPES(University of Agricultural Science, Dharwad, 2002) Jambale, Appanna S; Meli, S SA field experiment was conducted during rainy season of 2000-01 at Main Research Station, University of Agricultural Sciences, Dharwad, to Investigate the effect of row spacing and fertilizer levels on growth and yield of groundnut genotypes. This experiment was laidout in a split-plot design with three replications. Treatments consisted of three groundnut genotypes viz., GPBD-4, TGLPS -3 and JL-24 as main plots and four levels of spacing and fertilizers viz., S,F - 30 x 10 cm + 100% RDF (25: 75 : 25 kg N, PO, KO/ha), S,F2-30x 10 cm + 150% RDF (37.5 : 112.5 : 37.5 N, PO, KO/ha), 5 , - 45 X 10 cm + 100% RDF and S / - 45 x 10 cm + 150% RDF) as sub-plot treatments. The results showed that, groundnut genotypes differed significantly. Genotype GPBD-4 recorded significantly higher dry pod, kernel and oil yield (2892.58, 2256.33 and 1093.87 kg/ha, respectively) as compared to TGLPS-3 (2685.30, 1822.17 and 865.07 kg/ha, respectively) and JL-24 (2475.50, 1829.33 and 862.34, kg/ha, respectively). There was significant difference in dry pod, kernel and oil yield due to row spacing. Closer row spacing of 30 x 10 cm recorded higher dry pod yield (2754.55 kg/ha), kernel yield (1980.50 kg/ha) and oil yield (943.74 kg/ha) as compared to wider row spacing of 45 x 10 cm (2614.39, 1957.80 and 937.11 kg/ha), respectively). Increasing the levels of NPK from 100 to150 per cent of recommended dose resulted in numerical increase in dry pod, kernel and oil yield. Growth and yield characters followed the similar trend. The interaction effects were significant due to genotypes, spacing and levels of NPK. Genotype GPBD-4 recorded higher dry pod yield (3223.00 kg/ha), kernel yield (2580.00 kg/ha) and oil yield (1238.67 kg/ha) at wider row spacing of 45 X 10 cm with lower levels of NPK (25: 75: 25 kg N, PO and KO/ha). The genotype GPBD-4 recorded significantly higher net returns (Rs.27380/ ha) and B:C ratio (3.29) as compared to TGLPS-3 (Rs.l6977/ha and 2.09, respectively) and JL-24 (Rs.13807/ha and 1.96, respectively) at wider row spacing of 45 x 10 cm with lower levels of NPK (25: 75: 25 kg N, PO and KO/ ha) application.ThesisItem Open Access STATISTICAL ANALYSIS OF INFLUENCE OF MORPHOLOGICAL CHARACTERS ON YIELD IN SELECTED VEGETABLE CROPS(University of Agricultural Science, Dharwad, 2005) Vijayan, S; Kataraki, P AABSTRACT NOT AVAILABLEThesisItem Open Access BEHAVIOUR OF PRICE AND ARRIVALS OF MAIZE IN BELGAUM DISTRICT - A STATISTICAL INVESTIGATION(University of Agricultural Science, Dharwad, 2002) Nadaf, M R; Havaldar, Y N"Maize is one of the important food grains in the world. Apart from its use as a food grain for human consumption, it is being used for manufacturing industrial products. The information on price and arrivals of maize has been collected from Gokak, Ramdurga and Saundatti regulated markets. The secondary data pertaining to monthly, model price Rs. per quintals and monthly total arrivals in respective markets for evaluating different objectives. It was noticed in all the markets arrivals were an increasing trend. Whereas, price is increasing in Saundatti market, but slight decreasing trend is noticed in Gokak and Ramdurga markets. The arrivals of maize were presence of seasonality effects within the year and constancy of such effects from year to year. The season starts from August to September and it is peak from December to February in both Gokak and Ramdurga markets. However, November to January in Saundatti market, in case of price, there is a presence of seasonality effects among months but the effects were of the same pattern over all years, higher price was in June to August in Gokak and Ramdurga markets but August to October in Saundatti market. In all markets correlation coefficient was significant between farm harvest price and regulated market price. Among three markets in Gokak market high correlation was found. Positive and significant correlation between farm harvest price and regulated market price indicate an increase in regulated market price necessarily increase the farm harvest price. For studying the market integration, the correlation coefficients calculated between any two markets for the unadjusted price as well as adjusted price of maize crop. It indicated that the coefficients generally high in unadjusted price series than an adjusted price series. Among the three markets, Gokak and Ramdurga markets are generally weJJ integrated."