MOESM1 of Use of multi-trait and random regression models to identify genetic variation in tolerance to porcine reproductive and respiratory syndrome virus

Lough, Graham; Rashidi, Hamed; Kyriazakis, Ilias; Dekkers, Jack; Hess, Andrew; Hess, Melanie; Deeb, Nader; Kause, Antti; Lunney, Joan; Rowland, Raymond; Mulder, Han; Doeschl-Wilson, Andrea

doi:10.6084/m9.figshare.c.3746456_D1.v1

12711_2017_312_MOESM1_ESM.docx (23.6 kB)

MOESM1 of Use of multi-trait and random regression models to identify genetic variation in tolerance to porcine reproductive and respiratory syndrome virus

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posted on 2017-04-19, 05:00 authored by Graham Lough, Hamed Rashidi, Ilias Kyriazakis, Jack Dekkers, Andrew Hess, Melanie Hess, Nader Deeb, Antti Kause, Joan Lunney, Raymond Rowland, Han Mulder, Andrea Doeschl-Wilson

Additional file 1. Simulating ADG in absence of infection. The additional file provides a detailed methodology on how performance in absence of infection was simulated.

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Biotechnology and Biological Sciences Research Council

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1. Simulating ADG methodology absence regression models multi-trait syndrome virus variation porcine performance tolerance infection MOESM 1

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MOESM1 of Use of multi-trait and random regression models to identify genetic variation in tolerance to porcine reproductive and respiratory syndrome virus

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Biotechnology and Biological Sciences Research Council

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