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hal.structure.identifierBiologie intégrée pour la valorisation de la diversité des Arbres et de la Forêt [BioForA]
dc.contributor.authorTIRET, Mathieu
hal.structure.identifierBiologie intégrée pour la valorisation de la diversité des Arbres et de la Forêt [BioForA]
hal.structure.identifierBiodiversité, Gènes & Communautés [BioGeCo]
dc.contributor.authorPÉGARD, Marie
hal.structure.identifierBiologie intégrée pour la valorisation de la diversité des Arbres et de la Forêt [BioForA]
dc.contributor.authorSANCHEZ, Leopoldo
dc.date.issued2021-09-13
dc.identifier.issn1752-4563
dc.description.abstractEnIn breeding, Optimal Contribution Selection (OCS) is one of the most effective strategies to balance short- and long-term genetic responses, by maximizing genetic gain and minimizing global coancestry. Considering genetic diversity in the selection dynamic – through coancestry – is undoubtedly the reason for the success of OCS, as it avoids preliminary loss of favorable alleles. Originally formulated with the pedigree relationship matrix, global coancestry can nowadays be assessed with one of the possible formulations of the realized genomic relationship matrix. Most formulations were optimized for genomic evaluation, but few for the management of coancestry. We introduce here an alternative formulation specifically developed for Genomic OCS (GOCS), intended to better control heterozygous loci, and thus better account for Mendelian sampling. We simulated a multi-generation breeding program with mate allocation and under GOCS for twenty generations, solved with quadratic programming. With the case study of Populus nigra, we have shown that, although the dynamic was mainly determined by the trade-off between genetic gain and genetic diversity, better formulations of the genomic relationship matrix, especially those fostering individuals carrying multiple heterozygous loci, can lead to better short-term genetic gain and a higher selection plateau.
dc.language.isoen
dc.publisherBlackwell
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enoptimal contribution selection
dc.subject.engenomic selection
dc.subject.enquantitative genetics
dc.subject.enheterozygote x homozygote relationship
dc.subject.ensimulation
dc.title.enHow to achieve a higher selection plateau in forest tree breeding? Fostering Heterozygote x Homozygote relationships in Optimal Contribution Selection in the case study of Populus nigra
dc.title.enHeterozygote x Homozygote in OCS
dc.typeArticle de revue
dc.identifier.doi10.1111/eva.13300
dc.subject.halSciences du Vivant [q-bio]/Génétique
dc.subject.halMathématiques [math]
dc.subject.halSciences de l'environnement/Biodiversité et Ecologie
dc.subject.halSciences de l'environnement/Milieux et Changements globaux
dc.subject.halSciences du Vivant [q-bio]/Bio-Informatique, Biologie Systémique [q-bio.QM]
dc.subject.halSciences du Vivant [q-bio]/Biodiversité
dc.subject.halSciences du Vivant [q-bio]/Sciences agricoles/Sylviculture, foresterie
dc.subject.halStatistiques [stat]/Machine Learning [stat.ML]
bordeaux.journalEvolutionary Applications
bordeaux.page2635–2646.
bordeaux.volume14
bordeaux.peerReviewedoui
hal.identifierhal-03347727
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03347727v1
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