@article{PAR00004379,
  title = {{G}enotypic and environmental effects on coffee ({C}offea arabica {L}.) bean fatty acid profile : impact on variety and origin chemometric determination},
  author = {{V}illarreal, {D}. and {L}affargue, {A}ndreina and {P}osada, {H}. and {B}ertrand, {B}. and {L}ashermes, {P}hilippe and {D}ussert, {S}t{\'e}phane},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n a previous study, the effectiveness of chlorogenic acids, fatty acids ({FA}), and elements was compared for the discrimination of {A}rabica varieties and growing terroirs. {S}ince {FA} provided the best results, the aim of the present work was to validate their discrimination ability using an extended experimental design, including twice the number of location x variety combinations and 2 years of study. {I}t also aimed at understanding how the environment influences {FA} composition through correlation analysis using different climatic parameters. {P}ercentages of correct classification of known samples remained very high, independent of the classification criterion. {H}owever, cross-validation tests across years indicated that prediction of unknown locations was less efficient than that of unknown genotypes. {E}nvironmental temperature during the development of coffee beans had a dramatic influence on their {FA} composition. {A}nalysis of climate patterns over years enabled us to understand the efficient location discrimination within a single year but only moderate efficiency across years.},
  keywords = {{C}offee ; lipids ; fatty acids ; authentication ; variety ; genotype ; geographical origin ; environment ; temperature},
  booktitle = {},
  journal = {{J}ournal of {A}gricultural and {F}ood {C}hemistry},
  volume = {57},
  numero = {23},
  pages = {11321--11327},
  ISSN = {0021-8561},
  year = {2009},
  DOI = {10.1021/jf902441n},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00004379},
}