2021
DOI: 10.1101/2021.03.12.435064
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Management programs as a key factor for genetic conservation of small populations : The case of French local chicken breeds

Abstract: On-going climate change will drastically modify agriculture in the future, with a need for more sustainable systems, for animal production in particular. In this context, genetic diversity is a key factor for adaptation to new conditions: local breeds are likely to harbor unique adaptive features and represent a key component of diversity to reach resilience. Nevertheless, they are often suffering from small population size putting these valuable resources at risk of extinction. In chickens, management program… Show more

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Cited by 3 publications
(2 citation statements)
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“…Целенасочената селекция в промишленото птицевъдство води до значителна загуба на генетично разнообразие при домашната кокошка (Malomane et al, 2021). Със запазване на това разнообразие се гарантира консервацията на адаптивния генетичния потенциал в животновъдството (Notter, 1999), в случай на променени условия на отглеждане, хранене, потребителски нагласи (Restoux et al, 2022).…”
Section: въведениеunclassified
“…Целенасочената селекция в промишленото птицевъдство води до значителна загуба на генетично разнообразие при домашната кокошка (Malomane et al, 2021). Със запазване на това разнообразие се гарантира консервацията на адаптивния генетичния потенциал в животновъдството (Notter, 1999), в случай на променени условия на отглеждане, хранене, потребителски нагласи (Restoux et al, 2022).…”
Section: въведениеunclassified
“…Genomic characterisation of gene bank collections is important to unlock their genetic potential, to assess the genetic diversity captured in gene bank collections, and to understand genetic changes over time better. Examples of the use of genomics to characterise populations and gene bank collections include the characterisation of French local chicken breeds (Restoux et al 2018) and Dutch cattle breeds (van Breukelen et al 2019). In this thesis I have used a range of techniques for the analysis of genomic data to better conserve Dutch livestock breeds.…”
Section: Introductionmentioning
confidence: 99%