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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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2004 - 20095
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Subject: Agricultural Statistics and Informatics × End date: 2009 × Start date: 2004 × Thesis Type: M.Sc ×
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Now showing 1 - 5 of 5
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    ThesisItemOpen Access
    CLUSTERING OF VILLAGES BASED ON SOIL PARAMETERS – A CASE STUDY OF PANCHMAHAL DISTRICT
    (AAU, Anand, 2008-02) ABBASALI N. KHOKHAR M. Sc.(; Dr. S. K. Dixit
    The present investigation was carried out to study the pattern of variability of five soil parameters simultaneously across the villages and to group the villages having same pattern by considering data of villages in eleven different talukas of Panchamahal district. The data on five soil parameters viz., pH, electrical conductivity , organic carbon, available P and K of the district obtained from Soil Health Card programme were subjected to various statistical analysis. The Analysis of Variance (ANOVA) technique was employed to test the significance of variation in each of the five soil parameters separately between the villages. To test the significance of variation based on all the five parameters simultaneously between the villages Multivariate Analysis of Variance (MANOVA) technique was used. To take care of within variability of the village means, the different soil parameter means were converted into uncorrelated variables using the pivotal condensation method. The transformed uncorrelated variables were subjected to group the villages by Ward‟s method involving squared Euclidean distance. Optimum number of cluster was calculated based on cluster selection criteria. The cluster characteristics viz. cluster means and Intra and Inter cluster distances were studied. In order to find out the distinguishing parameter that contributed maximum for the formation of clusters, two yard sticks, viz., R2 ( ratio of inter-cluster variances to the total variance) and CVb (%) (Inter-cluster coefficient of variation) were estimated for each of the five soil parameters. The ANOVA test indicated that the variation due to EC, OC and P among the villages in all the talukas were highly significant. In case of pH the mean values between the villages of different talukas were highly significant except Lunawada taluka. The K mean values between the villages of different talukas were highly significant except Kadana taluka. The MANOVA test revealed a significant variability pattern between the villages in all the talukas when all the five soil parameters were considered simultaneously. Grouping of villages were carried out using Ward‟s hierarchical clustering techniques involving squared Euclidean distance. Minimum numbers of clusters (3) were formed in case of Godhara taluka which consists of 47 villages. The minimum value of D2 (0.070) was observed between the villages Ambali and Odidra; maximum value of D2 (313.00) was observed between the villages Rampur Jodka and Tuwa of this taluka. The maximum R2 value of 0.87 was obtained for OC, followed by 0.67 of EC. The maximum CVb (%) was 24.19 for EC .The two parameters namely OC and EC were found responsible in cluster formation. Maximum numbers of clusters (9) were formed in case of Jambughoda taluka which consists of 46 villages. The minimum value of D2 (0.280) was observed between the villages Garmula and Rampura; maximum value of D2 (271.24) was observed between the villages Fulpari and Pipia. The maximum R2 value of 0.93 was obtained for OC, followed by 0.81 of EC; 0.73 of pH. The maximum CVb (%) was 25.29 for EC. Three parameters namely pH, EC and OC were the important parameters in cluster formation of Jambughoda. All the 56 villages in each of the Kaalol and Lunawada talukas were grouped into four different clusters. In both the talukas the parameters EC and OC were found responsible for clustering. In the Ghoghamba and Shahera taluka consisting of 27 and 41 villages respectively five different clusters occurred. In both the taluka‟s the parameters EC and OC played a dominant role in clustering. The 40 villages of Khanpur and 67 villages of Santrampur talukas were grouped individually into six clusters. In both the talukas the parameters EC and OC played a crucial role in cluster formation. The Halol, Morva and Kadana talukas were consist of 51, 39 and 47 villages respectively. In each of the taluka there were seven clusters. In all the talukas, the parameters EC and OC were found responsible for clustering.
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    ThesisItemOpen Access
    STATISTICAL INVESTIGATION ON THE RELATIONSHIP BETWEEN RAINFALL AND GROUNDNUT PRODUCTIVITY IN GUJARAT
    (Anand Agricultural University, Anand, 2005) R.S.Parmar; Dr. P.R.Vaishnav
    India is one of the major oilseed producing countries in the world. Among oilseeds, groundnut (Arachis hypogaea L.) is a major oil seeds crop of India. Groundnut in Gujarat is predominantly grown as rainfed crop in five districts of Saurashtra region. These districts are Amreli, Bhavnagar, Jamnagar, Junagadh and Rajkot. The fluctuations in the groundnut productivity over the years are wide and mainly attributed to erratic behaviour of rainfall. The present investigation was undertaken to study the effect of rainfall and its distribution on the yield of groundnut and also to have pre-harvest estimate of groundnut yield in Gujarat
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    ThesisItemOpen Access
    PRE-HARVEST FORECASTING OF RICE (Oryza sativa L.) YIELD BASED ON WEATHER PARAMETERS IN KHEDA DISTRICT OF GUJARAT
    (Anand Agricultural University, Anand, 2004) G.B.Patel; Dr. P.R. Vaishnav
    A timely and reliable forecast of yield of crop needs little emphasis for monsoon dependent country like India and where, the economy is mainly based on agricultural production. Weather is a major factor, affecting crop production in advanced agricultural systems in our country. The large variation in yield is predominantly due to weather parameters. In view of fluctuating weather effects, a timely and reliable forecast of crop yield could help in deciding the policies. Rice is an important staple food of masses in the country. The present study has been taken up to identify the nature of the effect of weather parameters and technological advancement on rice crop and thereby to suggest suitable preharvest forecast models for Kheda district of Gujarat state.
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    ThesisItemOpen Access
    Statistical Investigation on Area, Production and Productivity of Kharif Groundnut (Arachis hypogaea L.) in Gujarat
    (Anand Agricultural University, Anand, 2007) R.K.Shukla; Dr. J. S. Patel
    The time series data on kharif groundnut area, production and productivity for the years 1949-50 to 1999-2000 (except to 1975-76, 1976-77and 1977-78 due to drought) were collected from the reports published by Directorate of Agriculture, Gujarat state, Gandhinagar. The data were recorded for five major groundnut growing districts viz. Amreli, Bhavnagar, Jamnagar, Junagadh and Rajkot and for the state as a whole. An attempt was made in present investigation to fit polynomial and ARIMA models to arrive at a methodology that can precisely explain the fluctuation in area, production and productivity for groundnut crop in different districts of Gujarat state and to compare different models
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    ThesisItemOpen Access
    APPLICATION OF PARAMETRIC AND NONPARAMETRIC REGRESSION MODELS FOR AREA, PRODUCTION AND PRODUCTIVITY TRENDS OF MAJOR CROPS OF GUJARAT
    (Anand Agricultural University, Anand, 2009) Bhagyashree S. Dhekale; Dr.A.Rajarathinam
    An attempt was made in present investigation to fit the parametric and nonparametric regression models to arrive at a methodology that can precisely estimate the trend and growth rates in area, production and productivity of major crops grown in Gujarat state. For a period of 55 years time-series data from 1949-50 to 2003-04 on area, production and productivity of major crops of the Gujarat state were collected from the Gujarat government web site www.agri.gujarat.gov.in.