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The apple REFPOP-a reference population for genomics-assisted breeding in apple.
Jung, Michaela; Roth, Morgane; Aranzana, Maria José; Auwerkerken, Annemarie; Bink, Marco; Denancé, Caroline; Dujak, Christian; Durel, Charles-Eric; Font I Forcada, Carolina; Cantin, Celia M; Guerra, Walter; Howard, Nicholas P; Keller, Beat; Lewandowski, Mariusz; Ordidge, Matthew; Rymenants, Marijn; Sanin, Nadia; Studer, Bruno; Zurawicz, Edward; Laurens, François; Patocchi, Andrea; Muranty, Hélène.
Afiliação
  • Jung M; Molecular Plant Breeding, Institute of Agricultural Sciences, ETH Zurich, 8092, Zurich, Switzerland.
  • Roth M; Breeding Research group, Agroscope, 8820, Wädenswil, Switzerland.
  • Aranzana MJ; Breeding Research group, Agroscope, 8820, Wädenswil, Switzerland.
  • Auwerkerken A; GAFL, INRAE, 84140, Montfavet, France.
  • Bink M; IRTA (Institut de Recerca i Tecnologia Agroalimentàries), 08140, Caldes de Montbui, Barcelona, Spain.
  • Denancé C; Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, 08193, Bellaterra, Barcelona, Spain.
  • Dujak C; Better3fruit N.V., 3202, Rillaar, Belgium.
  • Durel CE; Biometris, Wageningen University and Research, 6708 PB, Wageningen, The Netherlands.
  • Font I Forcada C; Hendrix Genetics Research, Technology and Services B.V., PO Box 114, 5830AC, Boxmeer, The Netherlands.
  • Cantin CM; IRHS, Université d'Angers, INRAE, Institut Agro, SFR 4207 QuaSaV, 49071, Beaucouzé, France.
  • Guerra W; Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, 08193, Bellaterra, Barcelona, Spain.
  • Howard NP; IRHS, Université d'Angers, INRAE, Institut Agro, SFR 4207 QuaSaV, 49071, Beaucouzé, France.
  • Keller B; IRTA (Institut de Recerca i Tecnologia Agroalimentàries), 08140, Caldes de Montbui, Barcelona, Spain.
  • Lewandowski M; IRTA (Institut de Recerca i Tecnologia Agroalimentàries), 08140, Caldes de Montbui, Barcelona, Spain.
  • Ordidge M; ARAID (Fundación Aragonesa para la Investigación y el Desarrollo), 50018, Zaragoza, Spain.
  • Rymenants M; Research Centre Laimburg, 39040, Auer, Italy.
  • Sanin N; Department of Horticultural Science, University of Minnesota, St. Paul, MN, 55108, USA.
  • Studer B; Institute of Biology and Environmental Sciences, University of Oldenburg, 26129, Oldenburg, Germany.
  • Zurawicz E; Molecular Plant Breeding, Institute of Agricultural Sciences, ETH Zurich, 8092, Zurich, Switzerland.
  • Laurens F; Breeding Research group, Agroscope, 8820, Wädenswil, Switzerland.
  • Patocchi A; Research Institute of Horticulture, 96-100, Skierniewice, Poland.
  • Muranty H; School of Agriculture, Policy and Development, University of Reading, Whiteknights, RG6 6AR, Reading, UK.
Hortic Res ; 7(1): 189, 2020 Nov 01.
Article em En | MEDLINE | ID: mdl-33328447
ABSTRACT
Breeding of apple is a long-term and costly process due to the time and space requirements for screening selection candidates. Genomics-assisted breeding utilizes genomic and phenotypic information to increase the selection efficiency in breeding programs, and measurements of phenotypes in different environments can facilitate the application of the approach under various climatic conditions. Here we present an apple reference population the apple REFPOP, a large collection formed of 534 genotypes planted in six European countries, as a unique tool to accelerate apple breeding. The population consisted of 269 accessions and 265 progeny from 27 parental combinations, representing the diversity in cultivated apple and current European breeding material, respectively. A high-density genome-wide dataset of 303,239 SNPs was produced as a combined output of two SNP arrays of different densities using marker imputation with an imputation accuracy of 0.95. Based on the genotypic data, linkage disequilibrium was low and population structure was weak. Two well-studied phenological traits of horticultural importance were measured. We found marker-trait associations in several previously identified genomic regions and maximum predictive abilities of 0.57 and 0.75 for floral emergence and harvest date, respectively. With decreasing SNP density, the detection of significant marker-trait associations varied depending on trait architecture. Regardless of the trait, 10,000 SNPs sufficed to maximize genomic prediction ability. We confirm the suitability of the apple REFPOP design for genomics-assisted breeding, especially for breeding programs using related germplasm, and emphasize the advantages of a coordinated and multinational effort for customizing apple breeding methods in the genomics era.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Hortic Res Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Hortic Res Ano de publicação: 2020 Tipo de documento: Article