The Application of Mivque For Estimating Genetics Variance In Dairy Milk Production

Abstract

There are a lot of factors that influence the variance of dairy milk production. In peral, it can be divided into two major factors, genetics and environment factors. A high value of genetics variance means that the environment has small effect in dairy milk production. In the real world. the true variance is impossible to know, so statistical methods are needed with the purpose of estimating them. Statistical analysis that is frequently used for analyzing tho woci.tion between the response and explanatory variable Is linear model. However, this analysis is restricted by the assumption that it can only involve variables that are considered fixed. Another approach is needed If the variables concerned arc random variables. Linear mixed model is a suitable method. because it provides analysis for both fixed and random variables. The result showed that the stage of lactation is the only flxed effect to be significant. Unstructured Covariance, based on the Ale value, is the best covariance struciure to model the random effects. N. final point, Varlour type is the most superi()r sire with the highest genetic contribution to its daughter" milk production, and by the maximum genetic progress,·compared to additional types.