Developmental Programming, Evolution, and Animal Welfare : A Case for Evolutionary Veterinary Science

The conditions animals experience during the early developmental stages of their lives can have critical ongoing effects on their future health, welfare, and proper development. In this paper we draw on evolutionary theory to improve our understanding of the processes of developmental programming, particularly Predictive Adaptive Responses (PAR) that serve to match offspring phenotype with predicted future environmental conditions. When these predictions fail, a mismatch occurs between offspring phenotype and the environment, which can have long-lasting health and welfare effects. Examples include metabolic diseases resulting from maternal nutrition and behavioral changes from maternal stress. An understanding of these processes and their evolutionary origins will help in identifying and providing appropriate developmental conditions to optimize offspring welfare. This serves as an example of the benefits of using evolutionary thinking within veterinary science and we suggest that in the same way that evolutionary medicine has helped our understanding of human health, the implementation of evolutionary veterinary science (EvoVetSci) could be a useful way forward for research in animal health and welfare.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:26

Enthalten in:

Journal of applied animal welfare science : JAAWS - 26(2023), 4 vom: 16. Okt., Seite 552-564

Sprache:

Englisch

Beteiligte Personen:

Veit, Walter [VerfasserIn]
Browning, Heather [VerfasserIn]

Links:

Volltext

Themen:

Animal health
Animal nutrition
Animal welfare
Developmental programming
Evolutionary medicine
Journal Article
Maternal nutrition
Predictive adaptive response

Anmerkungen:

Date Revised 22.08.2023

published: Print-Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.1080/10888705.2021.2014838

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM334500222