Application of Statistical Procedures for Analysis of Genetic Diversity in Domestic Animal Populations

Abstract

Problem statement: A wide range of studies for the assessment of gene tic diversity in livestock breed were conducted using genetic distan ce. For high-accuracy and unbiased estimation sampling methods, criteria of choosing type of DNA markers, distance measurement strategies, cluster analysis will be important for any genetic diversit y projects. Approach: Main objective of this short review is focusing on application statistical proce dures and methods in analysis of genetic diversity data in animals. Results: There is no simple strategy to address for best an d effectively genetic diversity results by the way regarding to some impo rtant factors can make reliable results for next analysis. Conclusion: There is still a distinct need for developing compr ehensive and user-friendly statistical packages that facilitate an integrated analysis of different data sets for generating reli able information about genetic relationships, genome div ersity, and favorable allele variation. Equally important and perhaps more challenging, is the conc erted and planned utilization of genome information in animal breeding programs on the bas is of knowledge accrued from studies on genetic diversity.