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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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Subject: Agricultural Statistics and Informatics × Author: ABBASALI N. KHOKHAR M. Sc.( × End date: 2009 × Start date: 2004 × Thesis Type: M.Sc ×
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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.