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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
    COEFFICIENT OF VARIATION IN FIELD EXPERIMENTS AND YARDSTICK THEREOF - AN EMPIRICAL STUDY
    (AAU, Anand, 1994) Patel, Jayati K.; Patel, N. M.
    The coefficient of variation (in per cent) is a good index of reliability of the results of field experiments. The precision of the treatment estimates depends on the magnitude of experimental error which is usually expressed in term of coefficient of variation (C. V. %). Besides, fertility variation among experimental units (plots), experimental and climatic factors are also affecting the C. V.%. There is no yardstick for accepting the experimental results on the basis of C. V. %. It was felt worthwhile to identify the factors influencing variability existed in the experimental data (C. V. %). and also to determine the yardstick for C. V. % which can help in accepting or rejecting the experimental results.