Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/77927
Título: Biomarkers of fitness and welfare in dairy animals: healthy living
Autores/as: de Almeida, André M.
Zachut, Maya
Hernández Castellano, Lorenzo Enrique 
Šperanda, Marcela
Gabai, Gianfranco
Mobasheri, Ali
Clasificación UNESCO: 3104 Producción Animal
Palabras clave: Biomarkers
Dairy animals
Fitness
Health
Stress
Fecha de publicación: 2019
Publicación seriada: Journal of Dairy Research 
Resumen: Increased animal productivity has reduced animal fitness, resulting in increased susceptibility to infectious and metabolic diseases, locomotion problems and subfertility. Future animal breeding strategies should focus on balancing high production levels with health status monitoring and improved welfare. Additionally, understanding how animals interact with their internal and external environment is essential for improving health, fitness, and welfare. In this context, the continuous validation of existing biomarkers and the discovery and field implementation of new biomarkers will enable us to understand the specific physiological process and regulatory mechanisms used by the organism to adapt to different environmental conditions. Thus, biomarkers may be used to monitor welfare and improve management and breeding strategies. In this article, we describe major achievements in the establishment of biomarkers in dairy cows and small ruminants. This review mainly focuses on the physiological biomarkers used to monitor animal responses to, and recovery from, environmental perturbations. We highlight future avenues for research in this field and present a timely positioning document to the scientific community.
URI: http://hdl.handle.net/10553/77927
ISSN: 0022-0299
DOI: 10.1017/S0022029919000803
Fuente: Journal of Dairy Research [ISSN 0022-0299], v. 86(4), p. 379 - 387
Colección:Artículos
miniatura
Adobe PDF (300,88 kB)
Vista completa

Citas de WEB OF SCIENCETM
Citations

21
actualizado el 17-nov-2024

Visitas

71
actualizado el 29-ene-2023

Descargas

57
actualizado el 29-ene-2023

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.