Created by W.Langdon from gp-bibliography.bib Revision:1.7177
Results indicated that a variety, Edkawy, displayed properties of salt tolerance hence it was selected as a model for metabolomic fingerprinting studies. Preliminary data obtained using Pyrolysis Mass Spectrometry (PyMS) and analysed by Principal Component Analysis (PCA) enabled discrimination between fruit according to ripeness stage, fruit ripened on- and off-the-vine and fruit artificially ripened with ethylene. Tomatoes grown under conditions of high and low-salt concentrations were analysed using Fourier Transform InfraRed spectroscopy (FTIR) with the aim of identifying biochemical features linked to salinity in the environment. FTIR spectra of whole tissue extracts are not amenable to visual analysis so evolutionary computer modelling methods were applied which were capable of classifying samples on their spectral characteristics. Genetic Programming (GP) models proved to be successful in enabling a chemical interpretation of biochemical fingerprint differences to be proposed. The authors acknowledge the support of the Analytical Biotechnology and Machine Learning group (http://www.aber.ac.uk/biology/research/abml.html).",
As from 2005 journal renamed 'General and Applied Plant Physiology'
Genetic Programming entries for Aileen R Smith Helen E Johnson Michael A Hall