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

Horticulture Research 2019年第1期6卷 1623-1637页

作者： Craig M.Hardner Ben J.Hayes Satish Kumar Stijn Vanderzande Lichun Cai Julia Piaskowski JoséQuero-Garcia JoséAntonio Campoy Teresa Barreneche daniela giovannini Alessandro Liverani Gérard Charlot Miguel Villamil-Castro Nnadozie Oraguzie Cameron P.Peace University of Queensland Queensland Alliance for Agriculture and Food InnovationBrisbaneQLD 4072Australia The New Zealand Institute for Plant and Food Research Limited Hawke’s Bay Research CentreHastings 4130New Zealand Department of Horticulture Washington State UniversityPullmanWA 99164USA Department of Horticulture Michigan State UniversityEast LansingMI 48824USA UMR 1332 BFP INRAUniversity of Bordeaux33140 Nouvelle-AquitaineFrance Council for Agricultural Research and Economics(CREA) Fruit Unit of ForlìVia la Canapona1 bis47121 Emilia-RomagnaItaly Centre Technique Interprofessionnel des Fruits et Légumes(CTIFL) 751 Chemin de Balandran30127 BellegardeFrance Department of Horticulture Washington State UniversityIrrigated Agriculture Research and Extension Center24106N Bunn RoadProsserWA 99350USA

The timing of fruit maturity is an important trait in sweet cherry production and *** 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 *** 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 *** 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 *** disequilibrium among marker loci declined rapidly with physical distance,and ordination of the relationship matrix suggested no strong structure among *** most parsimonious G×E model allowed heterogeneous genetic variance and pairwise covariances among ***-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 *** indicated that genomic models can be used in cherry to accurately predict date of fruit maturity for untested individuals in new *** G×E for this trait indicated that phenotypes of individuals will be stable across similar *** 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.

关键词： maturity environments breeding

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