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20156
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Subject: Agricultural Statistics and Informatics × End date: 2016 × Start date: 2014 ×
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Now showing 1 - 6 of 6
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    ThesisItemOpen Access
    DEVELOPMENT OF STATISTICAL INDEX TO ANALYSE THE SUICIDAL TENDENCY OF FARMERS
    (University of Agricultural Sciences Dharwad, 2015-06) CHANDSAB NADAF; Dr. ASHALATHA K. V.
    The present investigation was carried out in Dharwad and Gadag districts of Karnataka state. Purposive sampling procedure has been adopted for the selection of the district and respondents to collect the required information for the research work. Secondary data on the number of suicide cases in the districts were collected from Joint Director of Agriculture and Assistant Commissioner Offices of respective districts. Forty two households of suicide victims were chosen and 35 control cases were selected randomly for comparison. The total sample size was seventy seven (N=77). For evaluating the specific objectives of the study, necessary primary data were obtained from the families of selected suicidal and non-suicidal farmers, through personal interviews with the help of well-structured schedule. The data collected were entered in MS-Excel, tabulated and analyzed by using frequency, percentage, Chi-square and principle component analysis. The chi-square study of suicidal and non-suicidal farmers revealed that, there was association between the suicidal tendency and age, family type, type of agriculture practiced, land holding of farmers, range of loan taken, cropping pattern, income level, socio-economic status, stress level, mental health and depression. Suicidal reasons (education, family type, land holding, cast, type of agriculture practiced, farming experience, cropping pattern, income level, range of loan taken and source of capital taken), stress level, mental health and depression level were found to be main factors that influence suicidal tendency of farmers. Based on the result of principal component analysis, the suicidal tendency index was developed.
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    ThesisItemOpen Access
    MODELING STUDIES IN Simarouba glauca BASED AGROFORESTRY SYSTEM
    (University of Agricultural Sciences, Dharwad, 2015-06) ASHWINI BASAVARAJ GAMANAGATTI; Dr. S. N. MEGERI
    The study was conducted based on secondary data collected from AICRP on Agro-forestry, UAS Dharwad. The objective of the study was to predict the yield of soybean in Simarouba glauca based agroforestry system in relation to weather parameters and to fit growth curves and models for Simarouba tree species. The data pertaining to growth parameters that is height (m), DBH (cm), crown area (m2/plant) and yield of associated crop soybean (kg/ha) for ten years at different spacing’s viz. 5x3, 5x4 and 5x5 meters for Kali and Gauri varieties of Simarouba glauca were collected. The various statistical tools viz. correlation, multiple and stepwise regression were carried out to know influence of tree component on yield of soybean at different spacing’s in relation to weather parameters. The result revealed that, the yield of soybean showed decreasing trend as increase in the crown area. Different nonlinear models were tried for predicting height and diameter growth of Kali and Gauri varieties of Simarouba glauca. Among all models studied, MMF model was best fit followed by Logistic and Weibull models based on highest R2 value and least standard error for predicting height and diameter growth of Simarouba glauca at different spacing’s. The highest B:C ratio for soybean yield with Simarouba glauca was observed in 5m x 5m spacing followed by 5m x 4m and 5m x 3m spacing. This revealed that the yield of the soybean in Simarouba glauca at 5m x 5m spacing is profitable almost up to eight years whereas in case of 5m x 4m spacing and 5m x 3m spacing it is profitable up to three years only.
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    ThesisItemOpen Access
    ESTIMATION OF YIELD AND YIELD RELATED PARAMETERS IN CHILLI CROP
    (University of Agricultural Sciences Dharwad, 2015-06) PRAMOD H. D.; Dr. A. R. S. BHAT
    Chilli (Capsicum annuum L.) belongs to the family Solanaceae and is the leading vegetable-cum-spice crop of India. Yield forecast using agro-meteorological inputs into a statistical regression is rather common. The present study gives the piece of information regarding the climate change and its impact on chilli yield and yield parameters and also the information regarding association of yield traits and their direct and indirect effect on yield. The secondary data on yield and yield related characters of chilli were collected from department of Agronomy and department of Soil Science for the years 2003 to 2014. The meteorological data for the respective years were collected from Main Agricultural Research Station, UAS Dharwad. Different statistical techniques like correlation analysis, simple regression, multiple linear regression, backward regression and path analysis were employed. Correlation study revealed that maximum temperature and rainfall were significant and positively related with the chilli yield (optimum temperature 20-250 c), no. of fruits per plant and oleoresin percentage. Per cent discoloured fruits were found to be having highly significant and positive relation with maximum temperature and negatively related with other weather parameters. An effort is made to build suitable models for the identifying effect of weather parameters by using different statistical models. Based on R2 and RMSE best fit were identified. In case of chilli yield, cubic and quadratic were found to be significant and best fit for maximum temperature and rainfall respectively. In case of no. of fruits per plant cubic model was found to be best fit for both maximum temperature and minimum temperature. Path analysis revealed that there was a genuine relationship of no. of fruits per plant and 100 fruit weight with chilli yield and direct selection through these traits in the desirable direction would be rewarding in improvement of chilli yield.
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    ThesisItemOpen Access
    CROP MODELLING ON ESTIMATION OF YIELD AND YIELD RELATED PARAMETERS IN SOYBEAN
    (University of Agricultural Sciences, Dharwad, 2015-06) SANTHOSHA KUMARA M. A.; Dr. ASHALATHA K. V.
    Soybean (Glycine max (L.) Merrill) is known as Golden bean and miracle crop of 20thcentury. The research data for soybean was collected based on the experiment conducted by All India Co-ordinated Research Project (AICRP) on soybean and meteorological data (on maximum temperature, minimum temperature, rainfall, relative humidity) were collected from meteorological observatory of Main Agricultural Research Station of UAS, Dharwad for the year 2011 to 2014. The technique of model fitting, correlation analysis, simple linear regression, multiple linear regression, backward regression and path analysis were adopted in respect to study the fluctuations and to study the impact of weather parameters on soybean yield. Correlation study revealed that among the weather parameters the maximum temperature (upto 30 0C) was significant and positively correlated with yield of soybean in case of both JS-335 and DSb-21. Hence, selection of model based on maximum temperature is preferable. Test weight and plant height were significantly and positively correlated with maximum and minimum temperature. For soybean yield, plant height and test weight exponential model, cubic and quadratic models were found to be significant. In case of multiple linear regressions, among the weather parameters, maximum temperature was contributing significantly to the yield of soybean similar result was supported by backward regression analysis. Path analysis for yield revealed that all the characters such as plant height, days to fifty per cent flowering, test weight and days to maturity had positive correlation with yield. Days to maturity and test weight has high direct effect on yield of soybean. Plant height, days to fifty per cent flowering and test weight have exhibited indirect positive effect on the yield. The total indirect effect of days to maturity was negative. The study revealed that there is a genuine relationship between test weight and days to fifty per cent flowering with soybean yield.
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    ThesisItemOpen Access
    STATISTICAL INVESTIGATIONS IN Melia azadirach BASED AGROFORESTRY SYSTEM
    (University of Agricultural Sciences Dharwad, 2015-06) MANJUNATH. N. BENIWAD; Dr. S. N. MEGERI
    The study was conducted based on secondary data collected from AICRP (All India Co-ordinated Research Project) on Agroforestry, UAS Dharwad. The main objectives of the study were to predict the yield of agriculture crop (Soybean) and Melia azadirach and to fit growth curves and models. The data pertaining to growth parameter of tree crop Melia azadirach viz. height (m), Diameter at Breast Height or DBH (cm), crown area (m2/plant) and yield of associated agriculture crop (Soybean) (kg/ha) for eight years from 2002-2010 at different spacing combinations viz. 5x1, 5x2, 5x3 and 5x4 meters spacing between two rows of Melia azadirach were collected. The various statistical tools viz. correlation analysis, multiple regression analysis and stepwise regression analysis were done to know the relationship among tree and crop in relation to weather parameters. The study revealed that the crown area was the main factor for the reduction of the yield of the component crop among other parameters like rainfall, mean temperature and relative humidity. It was found that in the initial years when the height and crown area was less the yield levels of field crop were normal and as the height and crown area increases, decreasing trend was noticed in the field crop Different nonlinear models were tried in predicting the height and diameter growth. Among all the models studied MMF model was found to be the best fit with highest R2 value and least standard error in most of the treatment combinations in predicting the height growth and diameter growth and also used in predicting the future yield of the tree crop to know the economic benefit of the tree crop over the years.
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    ThesisItemOpen Access
    STATISTICAL ANALYSIS OF THRIPS POPULATION DYNAMICS STUDY IN ONION BASED ON WEATHER PARAMETERS
    (University of Agricultural Sciences Dharwad, 2015-06) HARSHA BUDIGOWDA BANAKAR; Mr. Y. N. HAVALDAR
    Onion (Allium cepa L.) is mainly grown for its bulb, which is used in every home, almost daily. Onion is popularly referred as ‘Queen of the kitchen’. Onion thrips, Thrips tabaci, is the major insect pest of onion and its control is critical in production and profitability of this crop. The experimental data on onion varieties (Arka Kalyan, Afrifound Light Red, N-2-4-1 and Bhima Shakti) was collected based on the experiment conducted by All India Network Project on Onion and Garlic and meteorological data were collected from meteorological observatory of Main Agricultural Research Station, Dharwad for the years 2010, 2011, 2012 and 2013. Correlation study revealed that all the weather parameters (viz., maximum temperature, minimum temperature, relative humidity and rainfall) are positively or negatively correlated with the thrips population buildup for all the three years. This correlation between thrips population and the weather parameters was mainly dependent on climatic conditions prevailing in that particular year. Multiple linear regression study revealed that for all the three years irrespective of variety even though R2 was high and found to be significant or non-significant, but none of the coefficients were contributing significantly towards dependent variable, it may be due to interaction effect among independent variables and dependent variable. Stepwise regression analysis revealed that the minimum temperature and relative humidity were the main constraints for the thrips population build-up, whereas, maximum temperature and rainfall effects were also important in the thrips population build-up. Simple linear regression study showed that reduction in Onion bulb yield will mainly depends on the thrips population, however, the weather parameters like rainfall was the main factor in getting good bulb yields. If heavy rains are received at any stage of the crop that reduces the thrips population significantly. Yield loss estimation is also carried out.