Modern breeding schemes, utilizing both advanced reproductive, statistical and molecular genetics methods and technologies, harvest high genetic progress, but also high rates of inbreeding. This has increased the need for tools to monitor and control rates of inbreeding in a population, such as optimal genetic contribution selection (OCS). EVA is a software package aimed at describing inbreeding in a population and predicting genetic contributions of breeding candidates while maximizing response to selection given a penalty on/constraining the rate of inbreeding.
By optimal balancing of inbreeding and genetic gain, EVA provides means for sustainable long-term breeding decisions regardless of population size or structure. EVA has been successfully applied and tested in both commercial and endangered populations in the Nordic and Baltic countries.
To use EVA you will need accurate and consistent pedigree information. An ordinary desktop computer has in most cases enough capacity to run EVA, with exception of very large population sizes.
NordGen regularly arranges workshops on OCS. The last workshop was arranged in June 2016 in Hafjell, Norway. Lectures and exercises from the workshop are available on the workshop website.
EVA is freely available for Windows , Linux and Mac . If you are a new user of EVA, please send an email to Linn Fenna Groeneveld to register.
Berg P., Nielsen J. and Sørensen M.K. 2006. EVA: Realized and predicted optimal genetic contributions. CD communication 27-09, 2pp. WCGALP, 2006, s.246.
Linn Fenna Groeneveld, email@example.com
Henryon M, Ostersen T, Ask B, Sørensen AC and Berg P, 2015. Most of the long-term genetic gain from optimum-contribution selection can be realised with restrictions imposed during optimisation. Genet. Sel. Evol. 47:21. Available from: http://www.gsejournal.org/content/47/1/21
Sørensen MK, Sørensen AC, Baumung R, Borchersen S and Berg P, 2008. Optimal genetic contribution selection in Danish Holstein depends on pedigree quality. Livestock Science 118: 212-222.
Available from: http://www.sciencedirect.com/science/article/pii/S1871141308000243