Morten Kargo

Multiple Regression and Mediator Variables can be used to Avoid Double Counting when Economic Values are Derived using Stochastic Herd Simulation

Research output: Contribution to conferencePaperResearchpeer-review

Multiple regression and model building with mediator variables was addressed to avoid double counting when economic values are estimated from data simulated with herd simulation modeling (using the SimHerd model). The simulated incidence of metritis was analyzed statistically as the independent variable, while using the traits representing the direct effects of metritis on yield, fertility and occurrence of other diseases as mediator variables. The economic value of metritis was estimated to be €78 per 100 cow-years for each 1% increase of metritis in the period of 1-100 days in milk in multiparous cows. The merit of using this approach was demonstrated since the economic value of metritis was estimated to be 81% higher when no mediator variables were included in the multiple regression analysis
Original languageEnglish
Publication year17 Aug 2014
Number of pages3
Publication statusPublished - 17 Aug 2014
Event10th World Congress on Genetics Applied to Livestock Production (WCGALP) - The Westin Bayshore, 1601 Bayshore Drive, Vancouver, BC V6G 2V4, Vancouver, Canada
Duration: 17 Aug 201422 Aug 2014
Conference number: 10th

Conference

Conference10th World Congress on Genetics Applied to Livestock Production (WCGALP)
Number10th
LocationThe Westin Bayshore, 1601 Bayshore Drive, Vancouver, BC V6G 2V4
CountryCanada
CityVancouver
Period17/08/201422/08/2014

    Research areas

  • dairy catlle, economic values, herd simulation

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