Use of network analysis to capture key traits affecting tomato organoleptic quality

  title={Use of network analysis to capture key traits affecting tomato organoleptic quality},
  author={P. Carli and S. Arima and V. Fogliano and L. Tardella and L. Frusciante and M. Ercolano},
  journal={Journal of Experimental Botany},
  pages={3379 - 3386}
  • P. Carli, S. Arima, +3 authors M. Ercolano
  • Published 2009
  • Biology, Medicine
  • Journal of Experimental Botany
  • The long-term objective of tomato breeders is to identify metabolites that contribute to defining the target flavour and to design strategies to enhance it. This paper reports the results of network analysis, based on metabolic phenotypic and sensory data, to highlight important relationships among such traits. This tool allowed a reduction in data set complexity, building a network consisting of 35 nodes and 74 links corresponding to the 74 significant (positive or negative) correlations among… CONTINUE READING

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