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Anand Agricultural University, Anand

Anand Agricultural University (AAU) was established in 2004 at Anand with the support of the Government of Gujarat, Act No.(Guj 5 of 2004) dated April 29, 2004. Caved out of the erstwhile Gujarat Agricultural University (GAU), the dream institution of Sardar Vallabhbhai Patel and Dr. K. M. Munshi, the AAU was set up to provide support to the farming community in three facets namely education, research and extension activities in Agriculture, Horticulture Engineering, product Processing and Home Science. At present there seven Colleges, seventeen Research Centers and six Extension Education Institute working in nine districts of Gujarat namely Ahmedabad, Anand, Dahod, Kheda, Panchmahal, Vadodara, Mahisagar, Botad and Chhotaudepur AAU's activities have expanded to span newer commodity sectors such as soil health card, bio-diesel, medicinal plants apart from the mandatory ones like rice, maize, tobacco, vegetable crops, fruit crops, forage crops, animal breeding, nutrition and dairy products etc. the core of AAU's operating philosophy however, continues to create the partnership between the rural people and committed academic as the basic for sustainable rural development. In pursuing its various programmes AAU's overall mission is to promote sustainable growth and economic independence in rural society. AAU aims to do this through education, research and extension education. Thus, AAU works towards the empowerment of the farmers.

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  • ThesisItemOpen Access
    AN ECONOMIC ANALYSIS OF PRODUCTION AND MARKETING OF OKRA (Abelmoschus esculentus) IN MIDDLE GUJARAT
    (B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2018) Rami Vikesh H.; Dr. K. S. Jadav
    The present investigation was undertaken with a view to study the cost and return, resource use efficiency, marketing cost and price spread in production and marketing of okra in central Gujarat. A multistage stratified sampling design was used for selecting the respondents. The study covered 6 talukas, 12 villages and 120 okra growers (59 marginal, 24 small, 23 medium and 14 large) from Anand, Kheda and Vadodara districts. For studying price spread in marketing, 5 functionaries from each category of okra marketing were randomly selected from Anand, Kheda and Vadodara markets. The major analytical tools employed for the study were tabular analysis, percentage, ratios, cost concept and production function analysis.
  • ThesisItemOpen Access
    AN ECONOMIC ANALYSIS OF SORGHUM AND MAIZE FODDER CROPS IN MIDDLE GUJARAT
    (B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2018) Patel Helika R.; Dr. Ganga Devi
    The present investigation was undertaken with a view to study socio-economic profile, cost and return, resource use efficiency, disposable pattern and constraints faced by fodder growers in Middle Gujarat. The study covered 4 talukas and total 120 (4x30) fodder growers (60 sorghum and 60 maize growers) from Ahmedabad and Vadodara districts. The major analytical tools employed for the study were tabular analysis, percentage, ratios, Cobb-Douglas production function and Garrett ranking technique.
  • ThesisItemOpen Access
    AN ECONOMIC ANALYSIS OF PRODUCTION AND MARKETING OF TISSUE CULTURE AND NON-TISSUE CULTURE POINTED GOURD (Trichosanthes diocia Roxb.)(Parwal) IN MIDDLE GUJARAT
    (2018) Rajwadi Alvirakumari A.; Dr. R. S. Pundir
    The present investigation was undertaken with a view to study the cost and return, decomposition analysis, marketing cost and price spread in production and marketing of pointed gourd in middle Gujarat. A multistage stratified sampling design was used for selecting the respondents. The study covered 4 talukas and 80 pointed gourd grower (40 tissue culture and 40 non-tissue culture) from Anand and Kheda districts. For studying price spread in marketing, 6 functionaries from each category of pointed gourd marketing were randomly selected from Anand and Kheda markets. The major analytical tools employed for the study were tabular analysis, percentage, ratios, cost concept, decomposition analysis, logistic regression analysis and garrett ranking technique.