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Integrating environmental gradients into breeding: application of genomic reactions norms in a perennial species

hal.structure.identifierBiodiversité, Gènes & Communautés [BioGeCo]
dc.contributor.authorPAPIN, Victor
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorBOSC, Alexandre
hal.structure.identifierBiologie intégrée pour la valorisation de la diversité des Arbres et de la Forêt [BioForA]
dc.contributor.authorSANCHEZ, Leopoldo
hal.structure.identifierBiodiversité, Gènes & Communautés [BioGeCo]
dc.contributor.authorBOUFFIER, Laurent
dc.date.accessioned2024-07-02T02:01:58Z
dc.date.available2024-07-02T02:01:58Z
dc.date.issued2024-06-28
dc.identifier.issn0018-067X
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/200692
dc.description.abstractEnGlobal warming threatens the productivity of forest plantations. We propose here the integration of environmental information into a genomic evaluation scheme using individual reaction norms, to enable the quantification of resilience in forest tree improvement and conservation strategies in the coming decades. Random regression models were used to fit wood ring series, reflecting the longitudinal phenotypic plasticity of tree growth, according to various environmental gradients. The predictive ability of the models was considered to select the most relevant environmental gradient, namely a gradient derived from an ecophysiological model and combining trunk water potential and temperature. Even if the individual ranking was preserved over most of the environmental gradient, strong genotype x environment interactions were detected in the extreme unfavorable part of the gradient, which includes environmental conditions that are very likely to be more frequent in the future. Combining genomic information and longitudinal data allowed to predict the growth of individuals in environments where they have not been observed. Phenotyping of 50% of the individuals in all the environments studied allowed to predict the growth of the remaining 50% of individuals in all these environments with a predictive ability of 0.25. Without changing the total number of observations, adding observations in a reduced number of environments for the individuals to be predicted, while decreasing the number of individuals phenotyped in all environments, increased the predictive ability to 0.59, highlighting the importance of phenotypic data allocation. We found that genomic reaction norms are useful for the characterization and prediction of the function of genetic parameters and facilitate breeding in a climate change context.
dc.language.isoen
dc.publisherNature Publishing Group
dc.subject.enGenomic selection
dc.subject.enMaritime pine
dc.subject.enPhenotypic plasticity
dc.subject.enRandom regression
dc.subject.entree rings
dc.subject.enEnvironmental indices
dc.title.enIntegrating environmental gradients into breeding: application of genomic reactions norms in a perennial species
dc.typeArticle de revue
dc.identifier.doi10.1038/s41437-024-00702-4
dc.subject.halSciences du Vivant [q-bio]
bordeaux.journalHeredity
bordeaux.hal.laboratoriesBioGeCo (Biodiversité Gènes & Communautés) - UMR 1202*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-04629198
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04629198v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Heredity&rft.date=2024-06-28&rft.eissn=0018-067X&rft.issn=0018-067X&rft.au=PAPIN,%20Victor&BOSC,%20Alexandre&SANCHEZ,%20Leopoldo&BOUFFIER,%20Laurent&rft.genre=article


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