Improving knowledge of plant tissue culture and media formulation by neurofuzzy logic: A practical case of data mining using apricot databases

Publication year: 2011
Source: Journal of Plant Physiology, In Press, Corrected Proof, Available online 14 June 2011

Jorge, Gago , Olaya, Pérez-Tornero , Mariana, Landín , Lorenzo, Burgos , Pedro P., Gallego

Plant tissue growth can be regulated and controlled via culture media composition. A number of different laborious and time-consuming approaches have been used to attempt development of optimized media for a wide range of species and applications. However, plant tissue culture is a very complex task, and the identification of the influences of process factors such as mineral nutrients or plant growth regulators on a wide spectrum of growth responses cannot always well comprehended.This study employs a new approach, data mining, to uncover and integrate knowledge hidden in multiple data from plant tissue culture media formulations using apricot micropropagation databases…