E-LIB Suche - Ergebnisse für: Doeschl-Wilson, A

1

Validating statistical properties of resilience indicators ..:

Ghaderi Zefreh, M. ; Pong-Wong, R. ; Doeschl-Wilson, A.
animal. 18 (2024) 8 - p. 101248 , 2024

Link: https://doi.org/10.1016/..

2

36. Co-infection impacts on resistance and tolerance to nem..:

Zulfa, I. ; Chase-Topping, M. ; Dry, I....
Animal - science proceedings. 15 (2024) 1 - p. 38-39 , 2024

Link: https://doi.org/10.1016/..

3

4. Towards conclusive evidence that dairy cattle vary genet..:

Madenci, D. ; Sanchez-Molano, E. ; Winters, M....
Animal - science proceedings. 15 (2024) 1 - p. 3-4 , 2024

Link: https://doi.org/10.1016/..

4

117. Machine learning algorithms for the prediction of EURO..:

Nisbet, H. ; Lambe, N. ; Miller, G....
Animal - science proceedings. 15 (2024) 1 - p. 130-131 , 2024

Link: https://doi.org/10.1016/..

5

Detection of genetic variability in dairy cattle infectivit..:

Madenci, D. ; Sanchez-Molano, E. ; Winters, M....
Animal - science proceedings. 14 (2023) 2 - p. 416-417 , 2023

Link: https://doi.org/10.1016/..

6

Animal board invited review: Quantification of resilience i..:

Taghipoor, M. ; Pastell, M. ; Martin, O....
animal. 17 (2023) 9 - p. 100925 , 2023

Link: https://doi.org/10.1016/..

7

Animal Board Invited Review: Meta-analysis of genetic param..:

Mucha, S. ; Tortereau, F. ; Doeschl-Wilson, A...
animal. 16 (2022) 3 - p. 100456 , 2022

Link: https://doi.org/10.1016/..

8

Review: Livestock disease resilience: from individual to he..:

Doeschl-Wilson, A. ; Knap, P.W. ; Opriessnig, T..
Animal. 15 (2021) - p. 100286 , 2021

Link: https://doi.org/10.1016/..

9

Development of a critical appraisal tool for models predict..:

Frank, J.W. ; Marion, G. ; Doeschl-Wilson, A.
Public Health. 201 (2021) - p. 55-60 , 2021

Link: https://doi.org/10.1016/..

10

Enhancing genetic disease control by selecting for lower ho..:

Tsairidou, Smaragda ; Anacleto, O. ; Woolliams, J. A..
Heredity. 122 (2019) 6 - p. 742-758 , 2019

Link: https://doi.org/10.1038/..

11

Posterior-based proposals for speeding up Markov chain Mont..:

Pooley, C. M. ; Bishop, S. C. ; Doeschl-Wilson, A..
Royal Society Open Science. 6 (2019) 11 - p. 190619 , 2019

Link: https://doi.org/10.1098/..

12

Estimation of residual energy intake and its genetic backgr..:

Shirali, M. ; Doeschl-Wilson, A. ; Duthie, C....
Livestock Science. 168 (2014) - p. 17-25 , 2014

Link: https://doi.org/10.1016/..

13

Meta-analysis of effects of gender in combination with carc..:

Trefan, L. ; Doeschl-Wilson, A. ; Rooke, J.A...
Journal of Animal Science. 91 (2013) 3 - p. 1480-1492 , 2013

Link: https://doi.org/10.2527/..

14

Bayesian meta-analysis of the effect of fasting, transport ..:

Salmi, B. ; Trefan, L. ; Bünger, L....
Meat Science. 90 (2012) 3 - p. 584-598 , 2012

Link: https://doi.org/10.1016/..

15

Nitrogen excretion at different stages of growth and its as..:

Shirali, M. ; Doeschl-Wilson, A. ; Knap, P.W....
Journal of Animal Science. 90 (2012) 6 - p. 1756-1765 , 2012

Link: https://doi.org/10.2527/..