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Fruit Phenolic Profiling: A New Selection Criterion in Olive Breeding Programs.

Ana G Pérez1, Lorenzo León2, Carlos Sanz1

  • 1Department of Biochemistry and Molecular Biology of Plant Products, Instituto de la Grasa, CSIC, Seville, Spain.

Frontiers in Plant Science
|March 15, 2018
PubMed
Summary

This study introduces a new, high-throughput method to assess phenolic compounds in olives, crucial for Virgin olive oil (VOO) quality. This approach enables breeders to select new olive varieties with enhanced oil health benefits and flavor profiles.

Keywords:
Olea europaeagenotypegenotype × environment interactionolive breedingphenolic compoundsvirgin olive oil

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Area of Science:

  • Agricultural Science
  • Plant Breeding
  • Food Chemistry

Background:

  • Traditional olive cultivation relies on established varieties, with limited focus on oil quality traits like phenolic compounds.
  • Improving oil quality, specifically phenolic content, is crucial for Virgin olive oil (VOO) health benefits and sensory properties.
  • Current breeding programs rarely prioritize phenolic composition due to evaluation challenges and limited understanding of genetic/environmental influences.

Purpose of the Study:

  • To develop and validate a high-throughput methodology for evaluating phenolic composition in olive breeding programs.
  • To assess the genetic and environmental factors influencing phenolic profiles in olive fruits and oils.
  • To identify elite olive breeding selections with superior phenolic profiles for enhanced VOO quality.

Main Methods:

  • Phenolic profiling of fruits and oils from breeding selections and control varieties ('Picual', 'Arbequina').
  • Evaluation across three distinct Andalusian environments to assess environmental impact.
  • Statistical analysis to determine genetic and environmental effects on phenolic composition.

Main Results:

  • Significant genetic influence on both fruit and oil phenolic profiles was observed.
  • Breeding selection UCI2-68 demonstrated an optimal phenolic profile, complementing its agronomic performance.
  • High correlation between fruit and oil phenolic content, with significant environmental effects but low genotype x environment interaction.

Conclusions:

  • The proposed high-throughput method simplifies the evaluation of fruit phenolic content, making it suitable for breeding programs.
  • Significant genotypic variance supports breeding for improved phenolic profiles in new olive cultivars.
  • The methodology facilitates the selection of olive varieties with enhanced VOO quality and health-promoting properties.