Modelling molecular and inorganic data of Amanita ponderosa mushrooms using artificial neural networks

@article{Salvador2012ModellingMA,
  title={Modelling molecular and inorganic data of Amanita ponderosa mushrooms using artificial neural networks},
  author={C{\'a}tia Salvador and Maria Ros{\'a}rio Martins and Henrique Vicente and Jos{\'e} Neves and Jos{\'e} M. Santos Arteiro and Ana Teresa Caldeira},
  journal={Agroforestry Systems},
  year={2012},
  volume={87},
  pages={295-302}
}
Wild edible mushrooms Amanita ponderosa Malençon and Heim are very appreciated in gastronomy, with high export potential. This species grows in some microclimates, namely in the southwest of the Iberian Peninsula. The results obtained demonstrate that A. ponderosa mushrooms showed different inorganic composition according to their habitat and the molecular data, obtained by M13-PCR, allowed to distinguish the mushrooms at species level and to differentiate the A. ponderosa strains according to… CONTINUE READING

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