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

ABSTRACT: 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 the variables studied. A number of links among traits contributing to fruit organoleptic quality and to the perception of sensory attributes were identified. Modular partitioning of the characteristics involved in fruit organoleptic perception captured the essential fruit parameters that regulate in

SUBMITTER: Carli P 

PROVIDER: S-EPMC2724691 | biostudies-literature | 2009

REPOSITORIES: biostudies-literature