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Prediction of genetic value for sweet cherry fruit maturity among environments using a 6K SNP array

hal.structure.identifierQueensland Alliance for Agriculture and Food Innovation [QAAFI]
dc.contributor.authorHARDNER, Craig M.
hal.structure.identifierQueensland Alliance for Agriculture and Food Innovation [QAAFI]
dc.contributor.authorHAYES, Ben J.
hal.structure.identifierHawke's Bay Research Centre
dc.contributor.authorKUMAR, Satish
hal.structure.identifierDepartment of Horticulture
dc.contributor.authorVANDERZANDE, Stijn
hal.structure.identifierDepartment of Horticulture
dc.contributor.authorCAI, Lichun
hal.structure.identifierDepartment of Horticulture
dc.contributor.authorPIASKOWSKI, Julia
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorQUERO-GARCIA, José
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorCAMPOY-CORBALAN, José Antonio
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorBARRENECHE, Teresa
hal.structure.identifierConsiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria = Council for Agricultural Research and Economics [CREA]
dc.contributor.authorGIOVANNINI, Daniela
hal.structure.identifierConsiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria = Council for Agricultural Research and Economics [CREA]
dc.contributor.authorLIVERANI, Alessandro
hal.structure.identifierCentre Technique Interprofessionnel des Fruits et Légumes [CTIFL]
dc.contributor.authorCHARLOT, Gérard
hal.structure.identifierQueensland Alliance for Agriculture and Food Innovation [QAAFI]
dc.contributor.authorVILLAMIL-CASTRO, Miguel
hal.structure.identifierWashington State University [WSU]
dc.contributor.authorORAGUZIE, Nnadozie
hal.structure.identifierDepartment of Horticulture
dc.contributor.authorPEACE, Cameron P.
dc.date.issued2019
dc.identifier.issn2052-7276
dc.description.abstractEnThe timing of fruit maturity is an important trait in sweet cherry production and breeding. Phenotypic variation for phenology of fruit maturity in sweet cherry appears to be under strong genetic control, but that control might be complicated by phenotypic instability across environments. Although such genotype-by-environment interaction (G × E) is a common phenomenon in crop plants, knowledge about it is lacking for fruit maturity timing and other sweet cherry traits. In this study, 1673 genome-wide SNP markers were used to estimate genomic relationships among 597 weakly pedigree-connected individuals evaluated over two seasons at three locations in Europe and one location in the USA, thus sampling eight ‘environments’. The combined dataset enabled a single meta-analysis to investigate the environmental stability of genomic predictions. Linkage disequilibrium among marker loci declined rapidly with physical distance, and ordination of the relationship matrix suggested no strong structure among germplasm. The most parsimonious G × E model allowed heterogeneous genetic variance and pairwise covariances among environments. Narrow-sense genomic heritability was very high (0.60–0.83), as was accuracy of predicted breeding values (>0.62). Average correlation of additive effects among environments was high (0.96) and breeding values were highly correlated across locations. Results indicated that genomic models can be used in cherry to accurately predict date of fruit maturity for untested individuals in new environments. Limited G × E for this trait indicated that phenotypes of individuals will be stable across similar environments. Equivalent analyses for other sweet cherry traits, for which multiple years of data are commonly available among breeders and cultivar testers, would be informative for predicting performance of elite selections and cultivars in new environments.
dc.language.isoen
dc.publisherNature Publishing Group
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.title.enPrediction of genetic value for sweet cherry fruit maturity among environments using a 6K SNP array
dc.typeArticle de revue
dc.identifier.doi10.1038/s41438-018-0081-7
dc.subject.halSciences du Vivant [q-bio]/Biologie végétale
bordeaux.journalHorticulture research
bordeaux.volume6
bordeaux.issue1
bordeaux.peerReviewedoui
hal.identifierhal-02620841
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02620841v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Horticulture%20research&rft.date=2019&rft.volume=6&rft.issue=1&rft.eissn=2052-7276&rft.issn=2052-7276&rft.au=HARDNER,%20Craig%20M.&HAYES,%20Ben%20J.&KUMAR,%20Satish&VANDERZANDE,%20Stijn&CAI,%20Lichun&rft.genre=article


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