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Subject: Statistics × End date: 2016 × Start date: 2016 × Type: Thesis ×
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    ThesisItemOpen Access
    Development of Decision Support System on Pulse Crops (Cowpea and Chickpea) in Dharwad District (Karnataka)
    (University of Agricultural Science, Dharwad, 2016-06) Das, Chiranjib; Ashalatha K.V.
    The Decision Support System (DSS) has been developed in MySQL (My Structured Query Language) and windows 8 operating system is used. MySQL is relational database management system which provides data definition language to create relations and data manipulation language to execute SQL queries. Secondary data is used for the present research. Software includes seven windows, user has required to feed the mandatory details to get required information of selected crops based on package of practices, area and production. DSS includes question and answer forum through which farmers will be able to query regarding any problems about crops and experts can give their suggestions to the queries. Extensively agricultural extension workers, scientists, researchers can use this software. This DSS is farmers friendly. Farmers, having little aware of computer can use. They can contact with the agricultural organisation, using this type of database system which can help farmers by giving valuable suggestion. Come back facility is there in each window. This DSS can be updated further. Statistical investigation was carried out to know shift in area of pulse crops, instability of selected pulse crops and relationship between area, weather parameters and production of selected crops in Dharwad. Markov chain analysis, Coppock’s instability analysis, correlation and multiple regression analysis were used as tools. Markov chain analysis revealed that the retention was highest in chickpea crop and lowest retention was noticed in cowpea and arhar crops, instability analysis revealed that overall instability was higher in case of chickpea than cowpea throughout the periods. Multiple regression results revealed that in case of chickpea crop, maximum temperature relative humidity and rainfall were contributing significantly to the production of chickpea out of five parameters viz. area, maximum temperature, minimum temperature, relative humidity and rainfall, maximum temperature has significant negative impact to the production of cowpea crop.
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    ThesisItemOpen Access
    Trends and Patterns in Migration of Agricultural Labourers in Dharwad District - A Statistical Study
    (University of Agricultural Science, Dharwad, 2016-06) Karemmanavar, Anita H.; Ashalatha, K.V.
    Migration is an important feature of human civilization. It reflects, human endeavour to survive in the most testing conditions both natural and manmade. There are several reasons for the migration, thus the study was carried out based on the secondary data and primary data. Secondary data was collected from different websites, district statistical office etc. and primary data collected from the two taluks of Dharwad district viz., Dharwad, Kundgol. Totally 100 samples were selected from two taluks. Tabular analysis showed that in 2011 there was sudden fall in agricultural labourers percentage i.e., 11.77 to 7.94. Survival ratio method showed that highest estimated net migration was observed in districts like Raichur, Gulbarga and Shimoga in 1971-81 and in 2001-11, highest migration was seen in Belgaum, Bellary and Gulbarga. Correlation coefficients for the variables viz., agricultural labourers, area and production, crops like Maize, Jowar, Wheat, Groundnut and Cotton revealed that there was significant relation between the area of Maize, Jowar and Cotton with migration of agricultural labourers. Multiple regression analysis showed that area of Jowar and Cotton crops were significantly contributing to the migration of agricultural labourers. Socio-personal characteristics showing that, 56 per cent of the agricultural labourers were belongs to the lower middle class. Garrett ranking technique shows that, Drought is one of most important push factor for migration and employment opportunities is one of the most important pull factors for migration. Paired ‘t’ test showing the impact of migration on agricultural labourers that is the socio economic changes in agricultural labourers was much better after migration than before migration.
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    ThesisItemOpen Access
    Development of Database Management System for Selected Commercial Crops
    (University of Agricultural Science, Dharwad, 2016-06) Sali, Ashika; Bhat, A.R.S.
    A study was carried out on development of database management system in Dharwad district for chilli (Capsicum annuum) and potato (Solanum tuberosum) crop using secondary data of about twenty years from 1991 to 2010. Transitional probability matrix was used to study the shift in area of selected crops. Highest shift was found in chilli crop (93 %) followed by cotton and sunflower crop (92 % and 70 % respectively). Multiple regression analysis for the study of influence of climatic factors on production of selected commercial crops revealed that maximum temperature, minimum temperature and relative humidity (morning) were significant for chilli production with R2 value 71.7 per cent and only maximum temperature was found significant for potato crop production with R2 value 36.1 per cent. Coppocks instability index showed highest instability for productivity of chilli crop (117.54 %) and production in potato crop (145.75 %). The database management system is designed with an objective of providing solutions to the crop related problems which has additional platform for interaction between source updater and end users for their queries. It’s mainly used to provide agriculture extension services to farmers and to transfer the latest technical knowledge to the farming community, so that the overall agricultural production will be increased over district. The database management system has been developed in the MySQL database and server type hardware. Name of the webpage is given as “KRUISHIDHAMA”, which contain detailed information about package of practice i.e. origin, introduction, botany, seeds, sowing, varieties, pests, diseases, weed and water management & harvesting of selected commercial crops grown in Dharwad. This tool provides necessary information to farmers, administrator, agriculture extension workers, researchers and students.
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    ThesisItemOpen Access
    Effect of Weather Parameters and Nutrient Uptake on Production of Rabi Sorghum- A Statistical Analysis
    (University of Agricultural Science, Dharwad, 2016-06) Shruthi H.D.; Havaldar, Y.N.
    Sorghum (Sorghum bicolor L. Moench) is one of the main staple crops for the world's poorest and most food-insecure people. It is considered as king of millet and “Camel crop”. The research data for sorghum was collected based on the experiment conducted by All India Co-ordinated Research Project (AICRP) on Sorghum and meteorological data (on maximum temperature, minimum temperature, rainfall, relative humidity at morning and relative humidity at evening) were collected from meteorological observatory at Main Agricultural Research Station, UAS, Dharwad from 2011 to 2014. The technique of model fitting, simple linear regression, multiple linear regression, factorial design and path analysis were adopted to study the fluctuations, impact of weather parameters and fertilizers on rabi sorghum yield. For rabi sorghum yield, plant height and 100 seed weight, cubic and quadratic models were found to be significant. In case of multiple linear regressions, among the weather parameters, maximum temperature was contributing significantly and negatively to the yield of sorghum and rainfall was significantly and positively contributing to the yield of sorghum. In case of multiple regression on recommended dose of fertilizers, plant height and 100 seed weight were significantly contributing to the yield of rabi sorghum when 100 per cent RDF was applied. Path analysis for yield of sorghum revealed that all the characters such as plant height and harvest index had positive correlation with yield. Plant height and 100 seed weight had direct effect on yield of rabi sorghum. The 100 seed weight and harvest index have exhibited indirect positive effect on the yield. The total indirect effect of plant height was negative. The study indicated that there is a genuine relationship between plant height and 100 seed weight with rabi sorghum yield.
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    ThesisItemOpen Access
    Development of Web Portal on Selected Cereals
    (University of Agricultural Science, Dharwad, 2016-06) Pujeri, Paravayya C.; Havaldar, Y.N.
    The study was conducted to develop a web-portal on selected cereals (Maize and Jowar) and the web-portal “KRUSHIDHAMA” has been developed with the MySQL database management system. Includes detailed information about package of practice i.e. origin, introduction, botany, seed and sowing, varieties, pests and diseases, weed and water management and harvesting of cereal crops. Comprehensive research studied the change in area of cereal crops (cropping pattern) and relationship between weather parameters and its impact on production of cereals in Dharwad district. The secondary data 1995-2013 was collected from authenticated sources on same for the study analysis. This tool provides necessary information to Farmers, Administrator, Agriculture extension workers, researchers and students regarding area, production, yield, weather parameters and pest & disease management of selected crops. Also, has an additional platform for interact between source updater and end users of their queries both in English and Kannada. The transitional probability matrix were depicted a broader idea of change in the area of cereal crops over a period of last nineteen years. It was revealed that the paddy crop had maximum retention of area (78%) and retention of area was almost similar for the selected crops (maize and jowar) in Dharwad (68% to70%) and lowest retention of area was noticed in ragi and others (00.00%) respectively. Multiple linear regressions indicated that the area and rainfall were contributing significantly to the yield of maize and the area, minimum temperature and rainfall were contributing significantly to the yield of jowar.
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    ThesisItemOpen Access
    A Statistical Analysis of Socio-Economic Status of Farmers on Application of Fertilizer
    (University of Agricultural Sciences, Dharwad, 2016-06) Seddy Bhagyamma; Bhat, A.R.S.
    A study on statistical analysis of socio-economic status of farmers on application of fertilizer was undertaken in selected districts of Karnataka i.e. Dharwad and Davangere. Compound growth rate analysis was used to know the growth of NPK consumption over a period of years. Binary logistic regression analysis was used to know the influence of socio-economic characteristics on application of recommended dose of fertilizer (RDF) under different crops. Multiple linear regression analysis was used to estimate the effect of NPK on yield. The result revealed that NPK usage pattern in Dharwad district had negative growth rate (-5.77 %) over the years (2004-2015). Amongst all the three major nutrients, usage of phosphatic fertilizer showed significant negative growth (-7.70 %) followed by nitrogen (-3.9 5 %) and potassic fertilizer (-3.39 %). In Davangere district, it was observed that usage of nitrogenous (5.38 %) and phosphatic (3.07 %) fertilizers had positive growth rates. But, potassic fertilizer showed negative growth rate (-0.66 %). The Binary logistic regression analysis revealed that experience of the farmer, size of land holding, type of the ownership, distance from shop to field, number of shops in the locality and annual income were found to be significantly influencing the adoption of RDF in different crops grown under the Dharwad district. Whereas in Davangere district the factors like age, experience, type of the family, size of land holding, farming expenditure, type of land ownership, distance from shop to field and number of shops were found to be significant factors. Application of nitrogen played a significant role in increasing the yield of maize and Bt cotton, whereas application of phosphorous played a significant role in increasing the yield of soybean.