Biotecnología de vitis viniferamodelización mediante inteligencia artificial

  1. Gago Mariño, Jorge
unter der Leitung von:
  1. Pedro Pablo Gallego Veigas Doktorvater/Doktormutter

Universität der Verteidigung: Universidade de Vigo

Fecha de defensa: 18 von Dezember von 2009

Gericht:
  1. Gloria Revilla Lopez Präsidentin
  2. Mercedes Gallardo Medina Sekretär/in
  3. Isabel Arrillaga Mateos Vocal
  4. Lorenzo Burgos Ortiz Vocal
  5. Jaume Flexas Sans Vocal

Art: Dissertation

Teseo: 304390 DIALNET

Zusammenfassung

This thesis deals in the subject of the Biotechnology of Vitis vinifera L.: modeling through Artificial Intelligence. Three major chapters are developed: The firs chapter employs artificial neural networks (ANNs) to create a model to identify relationships between variables affecting the in vitro rhizogenesis and acclimatization has been 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 on influencing the heigth of acclimatizated plantelets. ANNs can be considered a useful tool for modeling and optimizing different complex process, or data set, in plant tissue culture or, more generally, in plant biology. The second chapter deeps in the understanding of the cause-effect relationships between culture conditions....