Zobrazeno 1 - 10
of 523
pro vyhledávání: '"A. Doeschl-Wilson"'
Publikováno v:
Animal, Vol 18, Iss 8, Pp 101248- (2024)
Resilience is commonly defined as the ability of an individual to be minimally affected or to quickly recover from a challenge. Improvement of animals’ resilience is a vital component of sustainable livestock production but has so far been hampered
Externí odkaz:
https://doaj.org/article/303ee503c664450daa3e13735f744c6a
Autor:
M. Taghipoor, M. Pastell, O. Martin, H. Nguyen Ba, J. van Milgen, A. Doeschl-Wilson, C. Loncke, N.C. Friggens, L. Puillet, R. Muñoz-Tamayo
Publikováno v:
Animal, Vol 17, Iss 9, Pp 100925- (2023)
Resilience, when defined as the capacity of an animal to respond to short-term environmental challenges and to return to the prechallenge status, is a dynamic and complex trait. Resilient animals can reinforce the capacity of the herd to cope with of
Externí odkaz:
https://doaj.org/article/70b54cee07634c1ebdb24509e137edb3
Publikováno v:
Animal, Vol 16, Iss 3, Pp 100456- (2022)
Genetic selection focused purely on production traits has proven very successful in improving the productive performance of livestock. However, heightened environmental and infectious disease challenges have raised the need to also improve the resili
Externí odkaz:
https://doaj.org/article/3b0aacb9173649a4ad229ab95c786ccb
Publikováno v:
Animal, Vol 15, Iss , Pp 100286- (2021)
Infectious diseases are a major threat to the sustainable production of high-producing animals. Control efforts, such as vaccination or breeding approaches often target improvements to individual resilience to infections, i.e., they strengthen an ani
Externí odkaz:
https://doaj.org/article/af6be266e4f54fdd88bab7adc5322b3e
Publikováno v:
Royal Society Open Science, Vol 6, Iss 11 (2019)
Markov chain Monte Carlo (MCMC) is widely used for Bayesian inference in models of complex systems. Performance, however, is often unsatisfactory in models with many latent variables due to so-called poor mixing, necessitating the development of appl
Externí odkaz:
https://doaj.org/article/2db3942e099742318bcb4225b7663d78
Publikováno v:
In animal August 2024 18(8)
Autor:
Nisbet, Holly, Lambe, Nicola, Miller, Gemma, Doeschl-Wilson, Andrea, Barclay, David, Wheaton, Alexander, Duthie, Carol-Anne
Publikováno v:
In Meat Science March 2024 209
Akademický článek
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Akademický článek
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Markov chain Monte Carlo (MCMC) is widely used for Bayesian inference in models of complex systems. Performance, however, is often unsatisfactory in models with many latent variables due to so-called poor mixing, necessitating development of applicat
Externí odkaz:
http://arxiv.org/abs/1903.10221