Genomic Resources to Improve Fruit Size and Quality Traits in Cherry

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Genomic Resources to Improve Fruit Size and
Quality Traits in Cherry

• Amy Iezzoni, Wayne Loescher,
• Dechun Wang, Esther van der Knaap

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Goal Develop the genomic resources necessary
to implement marker-assisted selection (MAS) for
fruit size and quality in cherry breeding
programs.
Approach A QTL strategy using a
pseudo-testcross population followed by QTL
validation and allele mining using a pedigree
genotyping approach.
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Unique features

• Parents Domesticated versus undomesticated

• Population size 617 F1 individuals

• Trait phenotyping Identify the trait components
  where the genetic variation gt environmental
  variation.

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Trait phenotyping - Example
See Poster 230

• Fruit size is a quantitative trait.

• Fruit size cell size x cell number.

s2E gt s2G

• Cell size

s2E lt s2G

• Cell number

Environmental stability

• Mesocarp cell numbers for 7.6 and 9.4 g Bing
  fruit are not statistically different.

• Mesocarp cell numbers for Bing fruit grown in
  WA and MI not significantly different.

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QTL validation and allele discovery using a
pedigree mapping approach.
www.flexqtl.nl
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Project Outcomes

• A sweet cherry linkage map and comparative map.
• For important fruit size and quality traits
• QTL identification and validation
• High resolution maps of QTL regions
• Allelic diversity
• Markers for MAS
• Data availability on GDR and

www.cherrygenetics.org
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Research Team
MSU Amy Iezzoni breeder/geneticist Wayne
Loescher plant physiologist Dechun Wang
quantitative geneticist
OSU Esther van der Knaap molecular geneticist
Key collaborations WSU and MSU cherry breeding
programs Marco Bink - Biometris/NL