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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
    COMPARISON OF UNIFORMITY TRIAL DATA WITH EXPERIMENTAL DATA FOR PLOT TECHNIQUE
    (DEPARTMENT OF AGRICULTURAL STATISTICS B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2019) Bhavika Damor; Dr. V. B. Darji
    The most important factor having direct impact on the efficiency of the field experimentation is plot size. The problem in deciding optimum plot size frequently arises because variability of experimental area is unknown which is main component of experimental error. Several workers have determined optimum plot size in many crops. But information regarding comparison for the plot size based on CV per cent of uniformity trial data and experimental data are not available in literature. Conducting the uniformity trial is costlier. Hence, there is a need to find out alternative way to replace uniformity trials by utilizing the huge data of field experiments conducted on different crops at various Research Stations. The utilization of different crops data reduces the use of resources, cost, time etc and give baseline of optimum plot size to conduct experiments at different locations. The present study, therefore, was under taken to compare plot size based on CV per cent of uniformity trials (crops) data with experimental (crops) data