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Tree Genetics & Genomes

, 11:119 | Cite as

Apple fruit texture QTLs: year and cold storage effects on sensory and instrumental traits

  • Inès Ben SadokEmail author
  • Aline Tiecher
  • Didiana Galvez-Lopez
  • Marc Lahaye
  • Pauline Lasserre-Zuber
  • Maryline Bruneau
  • Sylvain Hanteville
  • Roland Robic
  • Raphael Cournol
  • François Laurens
Original Article
Part of the following topical collections:
  1. Complex Traits

Abstract

Postharvest texture change is a fundamental question for fruit growers and breeders as it drives consumer acceptability. To decipher the genetic control of fruit texture, we studied an apple segregating population over 2 years at harvest and after 2 months of cold storage. Texture complexity was dissected in quantitative traits, related to (i) sensory perception of fruit quality and (ii) fruit mechanical properties. Genetic models including storage, genotype and their interaction effects were built. After selection of a model, broad sense heritabilities were estimated. Strong genetic and storage effects were identified for all texture traits with significant interaction. Moreover, the structure of traits co-variations was preserved after storage. Based on the new integrated genetic map, numerous quantitative trait loci (QTLs) were detected, revealing multigenic control of fruit texture traits. QTLs were clustered according to the kind of texture assessment i.e. penetrometry, compression and sensory. Moreover, QTL stability over years and storage periods was investigated. Lastly, a short list of relevant texture traits, such as fruit global hardness and fruit deformation until skin failure, is proposed to optimize texture phenotyping for future quantitative genetic studies.

Keywords

Apple fruit texture Postharvest storage Mechanical and sensory components Heritability QTL mapping 

Notes

Acknowledgments

This work was financed by the EU seventh Framework Program FruitBreedomics No. 265582: Integrated Approach for increasing breeding efficiency in fruit tree crops. Aline Tiecher was supported by fellowships from the Capes-Cofecub program. We thank Bernard Petit for meteorogical data collection from the station of Beaucouzé.

Data archiving statement

The data was submitted to the genome database for Rosaceae (GDR). All genotypic data will be public under accession number tfGDR 1021.

Supplementary material

11295_2015_947_MOESM1_ESM.docx (158 kb)
ESM 1 (DOCX 158 kb)

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Inès Ben Sadok
    • 1
    Email author
  • Aline Tiecher
    • 2
  • Didiana Galvez-Lopez
    • 3
  • Marc Lahaye
    • 4
  • Pauline Lasserre-Zuber
    • 5
  • Maryline Bruneau
    • 1
  • Sylvain Hanteville
    • 1
  • Roland Robic
    • 1
  • Raphael Cournol
    • 1
  • François Laurens
    • 1
  1. 1.INRA, UMR1345 Institut de Recherche en Horticulture et SemencesAngersFrance
  2. 2.UNIPAMPAUniversidade Federal do PampaItaquiBrazil
  3. 3.Centro de BiocienciasUniversidad Autónoma de ChiapasTapachulaMexico
  4. 4.INRA, UR1268 Biopolymères Interactions AssemblagesNantesFrance
  5. 5.INRA, UMR 1095 INRA Génétique, Diversité et Ecophysiologie des CéréalesClermont FerrandFrance

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