Ex situ and in situ data for endangered livestock breeds in Spain
2021
de Oliveira Silva, Rafael | Cortes Gardyn, Oscar | Hiemstra, Sipke-Joost | Oliveira Marques, Joao, G | Tixier-Boichard, Michèle | Moran, Dominic | The University of Edinburgh | Universidad Complutense de Madrid = Complutense University of Madrid [Madrid] (UCM) | Wageningen University and Research [Wageningen] (WUR) | Génétique Animale et Biologie Intégrative (GABI) ; AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | University of Edinburgh's Data-Driven Innovation Chancellors fellowship | UK Research & Innovation (UKRI), Natural Environment Research Council (NERC) | European Project: 677353,H2020,H2020-SFS-2015-2,IMAGE(2016)
International audience
Afficher plus [+] Moins [-]anglais. Improvements in ex situ storage of genetic and reproductive materials offer an alternative for endangered livestock breed conservation. This paper presents a dataset for current ex situ collections and in situ population for 179 Spanish livestock breeds of seven species, cattle, sheep, pig, chicken, goat, horse and donkey. Ex situ data was obtained via survey administered to 18 functioning gene banks in Spain and relates to the reproductive genetic materials (semen doses) of 210 livestock breeds distributed across the gene banks. In situ data combines CENSUS information with linear regression techniques and relates to the geographic distribution of 179 Spanish autochthonous livestock breeds (2009-2018), and in situ population projections and extinction probabilities (2019-2060). We use a decision variable defining an “acceptable level of risk” that allows decision makers to specify tolerable levels of in situ breed endangerment when taking ex situ collection and storage decisions.
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par Institut national de la recherche agronomique
Découvrez la collection de ce fournisseur de données dans AGRIS