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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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20194
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Subject: Agricultural Statistics and Informatics × End date: 2020 × Start date: 2019 × Type: Thesis × Thesis Type: M.Sc ×
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Now showing 1 - 4 of 4
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    ThesisItemOpen Access
    PRICE FORECASTING OF BRINJAL AND CHILLI (GREEN) – A STATISTICAL EVALUATION
    (DEPARTMENT OF AGRICULTURAL STATISTICS B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2019) VIKASH PAL; Dr. V. B. Darji
    A timely and reliable forecast of prices for different agricultural crops is highly needed and required for now a day. Forecasting of prices for agricultural commodities remain difficult because they are influenced by many factors. The uncertainty of future price, production and consumption level makes agricultural market strategy and investment planning difficult. Vegetable price changes fast and unstable making hard to predict the vegetable price. Perishability and seasonal nature of vegetables affect a lot to the vegetable prices. Therefore the present investigation on Price forecasting of Brinjal and Chilli (green) was undertaken.
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    ThesisItemOpen Access
    FITTING OF THE DISTRIBUTION FOR CV VALUE OF FIELD EXPERIMENTS
    (DEPARTMET OF AGRICULTURAL STATISTICS B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2019) Rajubhai H. Chaudhari; Dr. A. N. Khokhar
    Coefficient of variation can be used to compare the variation of a trait in two (or more) populations or, more commonly, the variation of different traits in a population of study. If the CV was within certain limits one can say that block has homogeneity in the character under study. To obtain such limits i.e., to obtain confidence limits for the necessary important parameter. The study of such confidence interval can be carried out for the distribution which was fitted to the given data through CV. Thus, for the reliability of the results of the field experiments the analysis of CV was necessary. Depending on which distribution was to be used for modeling of the CV data of an experiment which was a common problem in agricultural science.
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    ThesisItemOpen Access
    COMPARISON OF SELECTION INDICES USING DIFFERENT WEIGHTS IN MAIZE (Zea mays L.)
    (DEPARTMET OF AGRICULTURAL STATISTICS B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2019) Himanshu V. Patel; Dr. A. D. Kalola
    The data on six different biometrical characters of fifty seven genotypes/hybrids of maize were collected from Main Maize Research Station (MMRS), A.A.U., Godhara during Rabi season of the year 2015-16 for the present study entitled “Comparison of selection indices using different weights in maize (Zea mays L.)”. The experiment was conducted in randomized block design with three replications. Six characters grain yield per plant, cob height, cob length, number of grains per row, number of rows per cob and 100 kernel weight were used in the present study.
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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