Biotecnología de vitis viniferamodelización mediante inteligencia artificial

  1. Gago Mariño, Jorge
Dirigée par:
  1. Pedro Pablo Gallego Veigas Directeur

Université de défendre: Universidade de Vigo

Fecha de defensa: 18 décembre 2009

Jury:
  1. Gloria Revilla Lopez President
  2. Mercedes Gallardo Medina Secrétaire
  3. Isabel Arrillaga Mateos Rapporteur
  4. Lorenzo Burgos Ortiz Rapporteur
  5. Jaume Flexas Sans Rapporteur
Département:
  1. Bioloxía vexetal e ciencias do solo

Type: Thèses

Teseo: 304390 DIALNET

Résumé

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....