- author = "A. R. Smith and H. E. Johnson and M. Hall",
- title = "Metabolic fingerprinting of salt-stressed tomatoes",
- journal = "Bulgarian Journal of Plant Physiology",
- year = "2003",
- volume = "29",
- pages = "153--163",
- note = "Special Issue. Proceedings of the European Workshop on Environmental Stress and Sustainable Agriculture, 07-12 Sept. 2002 Varna, Bulgaria",
- keywords = "genetic algorithms, genetic programming, metabolic fingerprinting, salt stress, tomatoes",
- ISSN = "1310-4586",
-
URL = "
http://www.bio21.bas.bg/ipp/gapbfiles/essa-03/03_essa_153-163.pdf",
-
URL = "
http://www.bio21.bas.bg/ipp/gapbfiles/essa-03/essa-03.html",
- size = "11 pages",
-
abstract = "Increased salinisation of agricultural land is having
a significant impact on agriculture, decreasing crop
productivity. The research presented is part of a
collaborative EU INCO-DC project. Data will be
presented on two objectives: firstly the selection and
screening of tomato varieties for potential salt
tolerance and secondly, studies on the effect of
salinity on fruit yield and quality.
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).",
-
notes = "See \cite{johnson:2003:mfsst}
As from 2005 journal renamed 'General and Applied Plant Physiology'
https://core.ac.uk/download/pdf/207636835.pdf",
