Characterization and Typology of Small-Scale Dairy Farmers Using Artificial Insemination in Senegal

Abstract

The data collected were entered into the software Sphinx plus2 V 4.0 and subjected to descriptive analysis. Subsequently, these data were reprocessed by the SPAD software V4.02 for cluster analysis. Descriptive analysis: It has allowed us to obtain different proportions, means and standard deviations. The results are shown in tabular form. Cluster analysis: Cluster analysis is a method for grouping aggregative individuals segments on the basis of similarities. It offers the advantage of simplifying the information while generating the main features. The following steps were monitored. Choice of variables: The choice of variables is done based on the objectives of the typology. These objectives have been identified and classified in terms dummies active, additional nominal variables and continuous variables illustrative. Analysis of the histogram of eigenvalues and choice of axes from the analysis of the histogram of eigenvalues, we have chosen the most important routes for the factor analysis. These are interpreted in terms of axes and variables that have the maximum information. Description of the factorial axes: This description was made using the methods introduced in the analysis and we have retained terms whose contribution to the establishment of the axis is high. Hierarchical Cluster and cluster identification.