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The new EU project  Fruit Breedomics *: an integrated approach for increasing breeding efficiency in apple and peach Laurens F. , Aranzana M.J.   , Arus P.   , Bonany J.   , Corelli L.   Patocchi A.   , Peil,  A.   , Quilot B., Stella A., Troillard V., Velasco R., van de Weg E, … * FP7 large collaborative Fruit Breedomics
[object Object],[object Object],Context (1) Fruit Breedomics
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Context (1) Fruit Breedomics
[object Object],[object Object],[object Object],[object Object],[object Object],Context (1) Fruit Breedomics
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Context (2) Fruit Breedomics
Context (3) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Fruit Breedomics Fruit Breedomics
[object Object],[object Object],[object Object],[object Object],Fruit Breedomics’ aims: Fruit Breedomics
[object Object],[object Object],[object Object],[object Object],Fruit Breedomics’ aims: Fruit Breedomics
Structure of FruitBreedomics WP1 Breeding 1. Breeding strategies 2. Fine mapping 3. Pilot studies 4. Pipeline 5. DB interface WP2 Pre-Breeding 1. Material evaluation 2. Conventional  pre breeding 3. Fast prebreeding European Breeding Platform Fruit Breedomics
Structure of FruitBreedomics WP1 Breeding 1. Breeding strategies 2. Fine mapping 3. Pilot studies 4. Pipeline 5. DB interface WP2 Pre-Breeding 1. Material evaluation 2. Conventional  pre breeding 3. Fast prebreeding European Breeding Platform Diversity and QTL mapping WP3 PBA 3. QTL Fine mapping 2. QTL new traits 5. Wider QTL mining 4. Genet. div . in EU Breeding 6. QTL validation 1. Adaptation Flex WP4 LD/GA 1. Phen & genet variability 2. Core collection 3. QTL mapping by GWA Fruit Breedomics
Structure of FruitBreedomics WP5 Trait knowledge 1.  Biotic stresses : Monilia 2. Fruit quality : texture, fiber 3. Abiotic stresses:  chilling reqrt, water stress WP1 Breeding 1. Breeding strategies 2. Fine mapping 3. Pilot studies 4. Pipeline 5. DB interface WP2 Pre-Breeding 1. Material evaluation 2. Conventional  pre breeding 3. Fast prebreeding European Breeding Platform Diversity and QTL mapping WP3 PBA 3. QTL Fine mapping 2. QTL new traits 5. Wider QTL mining 4. Genet. div . in EU Breeding 6. QTL validation 1. Adaptation Flex WP4 LD/GA 1. Phen & genet variability 2. Core collection 3. QTL mapping by GWA Fruit Breedomics
Structure of FruitBreedomics RosBREED (US) GDR WP5 Trait knowledge 1. Biotic stresses 2. Fruit quality 3. Abiotic stresses WP1 Breeding 1. Breeding strategies 2. Fine mapping 3. Pilot studies 4. Pipeline 5. DB interface WP2 Pre-Breeding 1. Material evaluation 2. Conventional  pre breeding 3. Fast prebreeding European Breeding Platform Diversity and QTL mapping WP3 PBA 3. QTL Fine mapping 2. QTL new traits 5. Wider QTL mining 4. Genet. div . in EU Breeding 6. QTL validation 1. Adaptation Flex WP4 LD/GA 1. Phen & genet variability 2. Core collection 3. QTL mapping by GWA Fruit Breedomics WP7 bioinfo FruitBreed  DB
Structure of FruitBreedomics PFR RosBREED ARC WP5 Trait knowledge 1. Biotic stresses 2. Fruit quality 3. Abiotic stresses WP1 Breeding 1. Breeding strategies 2. Fine mapping 3. Pilot studies 4. Pipeline 5. DB interface WP2 Pre-Breeding 1. Material evaluation 2. Conventional  pre breeding 3. Fast prebreeding European Breeding Platform Diversity and QTL mapping WP3 PBA 3. QTL Fine mapping 2. QTL new traits 5. Wider QTL mining 4. Genet. div . in EU Breeding 6. QTL validation 1. Adaptation Flex WP4 LD/GA 1. Phen & genet variability 2. Core collection 3. QTL mapping by GWA Fruit Breedomics WP6  SNP chips Low  Medium  Low cost MAB High
Structure of FruitBreedomics WP8 Dissemination WP9. Management WP5 Trait knowledge 1. Biotic stresses 2. Fruit quality 3. Abiotic stresses WP1 Breeding 1. Breeding strategies 2. Fine mapping 3. Pilot studies 4. Pipeline 5. DB interface WP2 Pre-Breeding 1. Material evaluation 2. Conventional  pre breeding 3. Fast prebreeding European Breeding Platform Diversity and QTL mapping WP3 PBA 3. QTL Fine mapping 2. QTL new traits 5. Wider QTL mining 4. Genet. div . in EU Breeding 6. QTL validation 1. Adaptation Flex WP4 LD/GA 1. Phen & genet variability 2. Core collection 3. QTL mapping by GWA Fruit Breedomics WP6  SNP chips Low  Medium  Low cost MAB High  WP7 bioinfo FruitBreed  DB Tools
Structure of FruitBreedomics WP8 Dissemination WP9. Management WP5 Trait knowledge 1. Biotic stresses 2. Fruit quality 3. Abiotic stresses WP1 Breeding 1. Breeding strategies 2. Fine mapping 3. Pilot studies 4. Pipeline 5. DB interface WP2 Pre-Breeding 1. Material evaluation 2. Conventional  pre breeding 3. Fast prebreeding European Breeding Platform Diversity and QTL mapping WP3 PBA 3. QTL Fine mapping 2. QTL new traits 5. Wider QTL mining 4. Genet. div . in EU Breeding 6. QTL validation 1. Adaptation Flex WP4 LD/GA 1. Phen & genet variability 2. Core collection 3. QTL mapping by GWA Fruit Breedomics WP6  SNP chips Low  Medium  Low cost MAB High  WP7 bioinfo FruitBreed  DB Tools Breeding stakeholders Germplasm curators
Interactions within FruitBreedomics WP5 Trait knowledge 1. Biotic stresses 2. Fruit quality 3. Abiotic stresses WP1 Breeding 1. Breeding strategies 2. Fine mapping 3. Pilot studies 4. Pipeline 5. DB interface WP2 Pre-Breeding 1. Material evaluation 2. Conventional  pre breeding 3. Fast prebreeding European Breeding Platform Diversity and QTL mapping WP3 PBA 3. QTL Fine mapping 2. QTL new traits 5. Wider QTL mining 4. Genet. div . in EU Breeding 6. QTL validation 1. Adaptation Flex WP4 LD/GA 1. Phen & genet variability 2. Core collection 3. QTL mapping by GWA Fruit Breedomics
15 22 23 24 16 18 19 20 21 3 4 7 14 17 13 12 10 9 8 6 5 2 11 Israël NZ Chine Afrique du Sud 1 + close links with : Rosbreed (WSU) …  Fruit Breedomics
[object Object],Expected impacts ,[object Object],[object Object],[object Object],[object Object],Fruit Breedomics
Acknowledgement to the  Fruit Breedomics  consortium The most difficult  (but the most challenging) is to come!! Fruit Breedomics
Acknowledgement to the  Fruit Breedomics  consortium The most difficult  (but the most challenging) is to come!! Fruit Breedomics
Role of the coordinator ,[object Object],[object Object],[object Object]
Role of the coordinator ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Role of the European Project Manager ,[object Object],[object Object],[object Object],[object Object],[object Object]

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FruitBreedomics KOM 29 03-2011 1 introduction

  • 1. The new EU project Fruit Breedomics *: an integrated approach for increasing breeding efficiency in apple and peach Laurens F. , Aranzana M.J. , Arus P. , Bonany J. , Corelli L. Patocchi A. , Peil, A. , Quilot B., Stella A., Troillard V., Velasco R., van de Weg E, … * FP7 large collaborative Fruit Breedomics
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9. Structure of FruitBreedomics WP1 Breeding 1. Breeding strategies 2. Fine mapping 3. Pilot studies 4. Pipeline 5. DB interface WP2 Pre-Breeding 1. Material evaluation 2. Conventional pre breeding 3. Fast prebreeding European Breeding Platform Fruit Breedomics
  • 10. Structure of FruitBreedomics WP1 Breeding 1. Breeding strategies 2. Fine mapping 3. Pilot studies 4. Pipeline 5. DB interface WP2 Pre-Breeding 1. Material evaluation 2. Conventional pre breeding 3. Fast prebreeding European Breeding Platform Diversity and QTL mapping WP3 PBA 3. QTL Fine mapping 2. QTL new traits 5. Wider QTL mining 4. Genet. div . in EU Breeding 6. QTL validation 1. Adaptation Flex WP4 LD/GA 1. Phen & genet variability 2. Core collection 3. QTL mapping by GWA Fruit Breedomics
  • 11. Structure of FruitBreedomics WP5 Trait knowledge 1. Biotic stresses : Monilia 2. Fruit quality : texture, fiber 3. Abiotic stresses: chilling reqrt, water stress WP1 Breeding 1. Breeding strategies 2. Fine mapping 3. Pilot studies 4. Pipeline 5. DB interface WP2 Pre-Breeding 1. Material evaluation 2. Conventional pre breeding 3. Fast prebreeding European Breeding Platform Diversity and QTL mapping WP3 PBA 3. QTL Fine mapping 2. QTL new traits 5. Wider QTL mining 4. Genet. div . in EU Breeding 6. QTL validation 1. Adaptation Flex WP4 LD/GA 1. Phen & genet variability 2. Core collection 3. QTL mapping by GWA Fruit Breedomics
  • 12. Structure of FruitBreedomics RosBREED (US) GDR WP5 Trait knowledge 1. Biotic stresses 2. Fruit quality 3. Abiotic stresses WP1 Breeding 1. Breeding strategies 2. Fine mapping 3. Pilot studies 4. Pipeline 5. DB interface WP2 Pre-Breeding 1. Material evaluation 2. Conventional pre breeding 3. Fast prebreeding European Breeding Platform Diversity and QTL mapping WP3 PBA 3. QTL Fine mapping 2. QTL new traits 5. Wider QTL mining 4. Genet. div . in EU Breeding 6. QTL validation 1. Adaptation Flex WP4 LD/GA 1. Phen & genet variability 2. Core collection 3. QTL mapping by GWA Fruit Breedomics WP7 bioinfo FruitBreed DB
  • 13. Structure of FruitBreedomics PFR RosBREED ARC WP5 Trait knowledge 1. Biotic stresses 2. Fruit quality 3. Abiotic stresses WP1 Breeding 1. Breeding strategies 2. Fine mapping 3. Pilot studies 4. Pipeline 5. DB interface WP2 Pre-Breeding 1. Material evaluation 2. Conventional pre breeding 3. Fast prebreeding European Breeding Platform Diversity and QTL mapping WP3 PBA 3. QTL Fine mapping 2. QTL new traits 5. Wider QTL mining 4. Genet. div . in EU Breeding 6. QTL validation 1. Adaptation Flex WP4 LD/GA 1. Phen & genet variability 2. Core collection 3. QTL mapping by GWA Fruit Breedomics WP6 SNP chips Low Medium Low cost MAB High
  • 14. Structure of FruitBreedomics WP8 Dissemination WP9. Management WP5 Trait knowledge 1. Biotic stresses 2. Fruit quality 3. Abiotic stresses WP1 Breeding 1. Breeding strategies 2. Fine mapping 3. Pilot studies 4. Pipeline 5. DB interface WP2 Pre-Breeding 1. Material evaluation 2. Conventional pre breeding 3. Fast prebreeding European Breeding Platform Diversity and QTL mapping WP3 PBA 3. QTL Fine mapping 2. QTL new traits 5. Wider QTL mining 4. Genet. div . in EU Breeding 6. QTL validation 1. Adaptation Flex WP4 LD/GA 1. Phen & genet variability 2. Core collection 3. QTL mapping by GWA Fruit Breedomics WP6 SNP chips Low Medium Low cost MAB High WP7 bioinfo FruitBreed DB Tools
  • 15. Structure of FruitBreedomics WP8 Dissemination WP9. Management WP5 Trait knowledge 1. Biotic stresses 2. Fruit quality 3. Abiotic stresses WP1 Breeding 1. Breeding strategies 2. Fine mapping 3. Pilot studies 4. Pipeline 5. DB interface WP2 Pre-Breeding 1. Material evaluation 2. Conventional pre breeding 3. Fast prebreeding European Breeding Platform Diversity and QTL mapping WP3 PBA 3. QTL Fine mapping 2. QTL new traits 5. Wider QTL mining 4. Genet. div . in EU Breeding 6. QTL validation 1. Adaptation Flex WP4 LD/GA 1. Phen & genet variability 2. Core collection 3. QTL mapping by GWA Fruit Breedomics WP6 SNP chips Low Medium Low cost MAB High WP7 bioinfo FruitBreed DB Tools Breeding stakeholders Germplasm curators
  • 16. Interactions within FruitBreedomics WP5 Trait knowledge 1. Biotic stresses 2. Fruit quality 3. Abiotic stresses WP1 Breeding 1. Breeding strategies 2. Fine mapping 3. Pilot studies 4. Pipeline 5. DB interface WP2 Pre-Breeding 1. Material evaluation 2. Conventional pre breeding 3. Fast prebreeding European Breeding Platform Diversity and QTL mapping WP3 PBA 3. QTL Fine mapping 2. QTL new traits 5. Wider QTL mining 4. Genet. div . in EU Breeding 6. QTL validation 1. Adaptation Flex WP4 LD/GA 1. Phen & genet variability 2. Core collection 3. QTL mapping by GWA Fruit Breedomics
  • 17. 15 22 23 24 16 18 19 20 21 3 4 7 14 17 13 12 10 9 8 6 5 2 11 Israël NZ Chine Afrique du Sud 1 + close links with : Rosbreed (WSU) … Fruit Breedomics
  • 18.
  • 19. Acknowledgement to the Fruit Breedomics consortium The most difficult (but the most challenging) is to come!! Fruit Breedomics
  • 20. Acknowledgement to the Fruit Breedomics consortium The most difficult (but the most challenging) is to come!! Fruit Breedomics
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  • 23.