Reproductive Viability Analysis (RVA) as a new tool for ex situ population management.

Animal Husbandry Animals Animals, Zoo Breeding Conservation of Natural Resources / methods Endangered Species
ex situ reproductive success sustainability

Journal

Zoo biology
ISSN: 1098-2361
Titre abrégé: Zoo Biol
Pays: United States
ID NLM: 8807837

Informations de publication

Date de publication:
Jan 2019
Historique:
received: 04 07 2018
revised: 14 12 2018
accepted: 21 12 2018
pubmed: 17 1 2019
medline: 21 3 2019
entrez: 17 1 2019
Statut: ppublish

Résumé

Many animal populations managed by the Association of Zoos and Aquariums' (AZA) Species Survival Plans® (SSPs) have low rates of reproductive success. It is critical that individuals recommended to breed are successful to achieve genetic and demographic goals set by the SSP. Identifying factors that impact reproductive success can inform managers on best practices and improve demographic predictions. A Reproductive Viability Analysis (RVA) utilizes data gathered from Breeding and Transfer Plans, studbooks, and SSP documents, and through modeling identifies factors associated with reproductive success in a given species. Here, we describe the RVA process, including different statistical models with the highest accuracy for predicting reproductive success in fennec foxes (Vulpes zerda) and Mexican wolves (Canis lupus baileyi). Results from the RVA provide knowledge that can be used to make evidence-based decisions about pairing and breeding strategies as well as improving reproductive success and population sustainability.

Identifiants

DOI: 10.1002/zoo.21477 PMID: 30650208
pubmed: 30650208
doi: 10.1002/zoo.21477
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

55-66

Informations de copyright

© 2019 Wiley Periodicals, Inc.

Auteurs

Karen Bauman (K)

Saint Louis Zoo, Saint Louis, Missouri.
ORCID: 0000-0001-8964-9575

John Sahrmann (J)

AZA Reproductive Management Center, Saint Louis Zoo, Saint Louis, Missouri.

Ashley Franklin (A)

AZA Reproductive Management Center, Saint Louis Zoo, Saint Louis, Missouri.
ORCID: 0000-0002-0818-5156

Cheryl Asa (C)

AZA Reproductive Management Center, Saint Louis Zoo, Saint Louis, Missouri.

Mary Agnew (M)

AZA Reproductive Management Center, Saint Louis Zoo, Saint Louis, Missouri.

Kathy Traylor-Holzer (K)

IUCN SSC Conservation Planning Specialist Group, Apple Valley, Minnesota.
ORCID: 0000-0002-3816-6706

David Powell (D)

Saint Louis Zoo, Saint Louis, Missouri.
ORCID: 0000-0002-1462-2826

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Classifications MeSH

questionsmedicales.fr › Technologie, industrie et agriculture › Agriculture › Élevage › Reproductive Viability Analysis (RVA) as a new...
questionsmedicales.fr › Eucaryotes › Animaux › Reproductive Viability Analysis (RVA) as a new...
questionsmedicales.fr › Eucaryotes › Animaux › Groupes animaux › Animaux de zoo › Reproductive Viability Analysis (RVA) as a new...
questionsmedicales.fr › Phénomènes génétiques › Sélection › Reproductive Viability Analysis (RVA) as a new...
questionsmedicales.fr › Environnement et santé publique › Environnement › Conservation des ressources naturelles › Reproductive Viability Analysis (RVA) as a new...
questionsmedicales.fr › Environnement et santé publique › Environnement › Écosystème › Biodiversité › Espèce en voie de disparition › Reproductive Viability Analysis (RVA) as a new...