Breeding for pepper fruit quality: a genitical metabolomics approach

Y. Wahyuni

Research output: Thesisinternal PhD, WU



A diverse collection of 32 pepper accessions was analysed for variation in health-related metabolites, such as carotenoids, capsaicinoids, flavonoids and vitamins C and E. For each of the metabolites analysed, there was a lot of variation among the accessions and it was possible to identify accessions with high amounts of specific metabolites. While all accessions contained high levels of vitamin C, accession C. chinenseAC2212 was found to be an excellent source of vitamin E, whereas C. annuumLong Sweet accumulated high levels of the flavonoid quercetin. A genetical metabolomics approach was used to study the genetic basis of metabolic traits in a segregating F2 population based on a cross between two contrasting pepper genotypes. This led to the identification of several metabolites QTL hotspots. The genetic basis for the accumulation of several flavonoids in pepper fruit was further investigated, by combining metabolic, gene expression and candidate gene-based marker data. This provided valuable insight into the key genes important for flavonoid accumulation in pepper fruit. The results of this study will help breeders to assist future breeding programs aimed at optimizing the levels of nutritional compounds in pepper fruit.

Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Wageningen University
  • Bino, Raoul, Promotor
  • Bovy, Arnaud, Co-promotor
  • Sudarmonowati, E., Co-promotor, External person
  • Ballester, A.R., Co-promotor, External person
Award date4 Jun 2014
Place of PublicationWageningen
Print ISBNs9789461739582
Publication statusPublished - 4 Jun 2014


  • capsicum annuum
  • capsicum frutescens
  • capsicum chinense
  • capsicum baccatum
  • plant breeding
  • metabolomics
  • crop quality
  • secondary metabolites
  • health
  • genetic mapping
  • ripening


Dive into the research topics of 'Breeding for pepper fruit quality: a genitical metabolomics approach'. Together they form a unique fingerprint.

Cite this