Every three to four years, Hypor carries out an in-depth review of the quantitative tools that we use to estimate breeding values to ensure that they deliver the highest level of accuracy possible, and ultimately, an improved rate of genetic progress.
Many models and software are used by Hypor to estimate breeding value, based on the complex array of factors involved in genetics. As in many other genetics applications, we rely on best linear unbiased prediction (BLUP) in the context of linear mixed modelling to ensure that the influence of random effects is incorporated in our estimation of breeding value.
At the end of 2014, a team of R&D and other experts from Hypor worked together to evaluate these and new quantitative models and the genetic parameters used to define these models. The evaluation was done by comparing the predictive ability of the different tested models.