Journal
JOURNAL OF PLANT PHYSIOLOGY
Volume 167, Issue 15, Pages 1226-1231Publisher
ELSEVIER GMBH
DOI: 10.1016/j.jplph.2010.04.008
Keywords
ANNs; Artificial intelligence; Grapevine; In vitro culture; Micropropagation
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Funding
- Xunta de Galicia [2007/097, PGIDIT02BTF30102PR]
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This study employs artificial neural networks (ANNs) to create a model to identify relationships between variables affecting the in vitro rhizogenesis and acclimatization of two cultivars of Vitis vinifera L Albarino and Mencia. The effects of three factors (inputs), the type of cultivar, concentration and exposure time to indolebutyric acid (IBA), on the success of in vitro rhizogenesis and acclimatization were evaluated. The developed model, using ANNs software, was assessed using a separate set of validation data and was in good agreement with the observed results. Exposure time to IBA was found to have the dominant role in influencing the height of acclimatized plantlets. ANNs can be a useful tool for modeling different complex processes and data sets, in plant tissue cultures or, more generally, in plant biology. (C) 2010 Elsevier GmbH. All rights reserved.
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