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20114
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Subject: Agricultural Statistics × End date: 2011 × Start date: 2011 ×
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    ThesisItemOpen Access
    Application of Small Area Estimation Technique in Estimating the Number of Households Engaged in Income Generating Farm Activities
    (UAS, Dharwad, 2011) Santhosh N. Shanbhag; A.R.S. Bhat
    In the present study the Coastal Area under Arabian Sea is considered as broad area and villages in the Coastal Area are considered as small area. The sampling units (non-farm households) are selected by the method of two stage samplings. Villages are considered as first stage units and farming households are considered as second stage units. The coastal area was separated into two parts namely Udupi and Dakshina Kannada. Small area estimates were obtained for the villages by fitting regression based models considering each of the above as broad area. Small area estimates were also obtained considering all these areas together as one broad area. The estimates were obtained by fitting Poisson regression model and Logistic regression models. For fitting Poisson and Logistic regression models, the explanatory variables used are family size, education level of household (number of years of schooling), total land holding (in acres), total annual non-farm income (in thousand rupees). The fitted models are then used to estimate the number of households engaged in non-farm activities for non-sampled villages in the broad area. The present investigation indicates that Logistic estimator and Composite estimator are the best small area estimators. The information on household’s farm activities at village level has a greater importance to the government and NGO’s in policy formulation, fund allocation for socio-economic development of a region and for establishment of small scale industries at the village level.
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    ThesisItemOpen Access
    Use of Statistical Tools in Organic Farming Practices in Northern Zones of Karnataka
    (UAS, Dharwad, 2011) Manjunatha G.R.; Ashalatha K.V.
    The study was attempted to estimate the crop preferences under organic farming, to asses the effect of number of years of organic farming practices and to test the efficacy of organic farming on crop productivity. Multistage purposive random sampling was employed for the selection of sample respondents. Wherein three zones viz, Hilly zone, Northern Transitional zones and northern dry zones were selected from Northern Karnataka. From each zones one district viz., Uttar Kannada, Dharwad and Bijapur were selected based on the maximum area under organic farming. From each district one taluk and two villages were chosen. The total sample size of 150 comprising 75 each of organic and inorganic farmers was chosen. Organic soil sample of about 27 were collected from respective zones. Optimal scaling technique, ANOVA technique and Regression models were employed for analysis of data. The results of correspondence analysis revealed a stronger association between crops and zones and organic farming practices and selected zones. While ANOVA technique signaled a significant influence of years of farming and zonal organic practices on various soil indicators viz., organic carbon, nitrogen, phosphorus and potassium. Exponential growth in productivity level was observed over the period of practicing organic farming in selected zones. The significant difference was noticed on yield levels of performing organic and inorganic farming for different crops in selected zones of Karnataka.
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    ThesisItemOpen Access
    Application of Statistical Models for Milk Yield Estimation in Surti Buffalo
    (UAS, Dharwad, 2011) Prabhakara C.; S.N. Megeri
    Indian buffaloes represent 56 per cent of the world buffalo population and have the privilege of having the best breeds of buffaloes for milk production. Surti buffalo is one of the best breed which is originated from Kaira district of Gujarat. Milk production is being most predominant for any dairy farm hence in order to keep the dairy profitable manner, models were essential for growth performance of any given animal. The study was carried out based on secondary data. The data was collected from the Department of Animal Sciences, UAS, Dharwad from 1974-75 to 2004-05 for 31 years. The present study was carried on utilizing the information available on 310 Surti buffaloes of 1340 lactations were considered on farm born buffaloes. Cobb Douglas model was used for estimation of 305 days milk yield and total milk yield in Surti buffalo with high efficiency. This model utilises multiple characters for estimates, hence it was found to be more efficient. Sixth degree polynomial was found to be more efficient in estimating individual 305 days milk yield and total milk yield up to four lactations followed by Richards model for individual lactations, the number of observations available varied. This would help the farm managers to use the equation for early estimation of production availability of Surti buffalo. Multiple linear regression equations to estimate life time milk production of Surti buffalo. The productive life of Surti buffalo can be safely estimated up to fourth lactation, by using the equations developed. This would help in taking proper managerial decisions to remove low producing animals from the farm.
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    ThesisItemOpen Access
    Statistical Evaluation of Milk and Milk Products of Tumkur Milk Union Limited (TUMUL)
    (UAS, Dharwad, 2011) Puneeth V.; Y.N. Havaldar
    Dairy development is a major component strategy to expand agricultural output in India. Indian dairy industry has emerged as the largest dairy industry in the world with milk production 112 million tonnes. Hence, in this context, it was undertaken to analyse in detail about Tumkur milk union limited (TUMUL). The study was carried out based on secondary data. Data was collected from the union for fifteen years (1994-2009) with respect to milk procurement and milk products production, in order to analyse the milk procurement and production of milk products using polynomial functions, ARIMA, Exponential and Markov chain analysis. The different degree polynomials were tried in order to examine trends in milk procurement and milk products production .Best models were selected based on highest R2 and lowest RMSE values. In case of milk procurement, curd and peda showed an increasing trend over the years. Whereas butter, ghee and cream showed an increasing trend and trend with ups and downs over the years. ARIMA and Exponential models were used to forecast the milk procurement and milk products production of TUMUL. These models were showed an increasing trend in all the milk products production and procurement of milk except in peda production. Markov-chain analysis was used for changing pattern of milk products production in TUMUL was carried out using transition probabilities. Five products butter, ghee, cream, curd and peda were considered in the transitional model. Results showed that curd was one of the most stable products of TUMUL followed by cream, curd, butter and ghee.