Biotecnología de vitis viniferamodelización mediante inteligencia artificial

  1. Gago Mariño, Jorge
Zuzendaria:
  1. Pedro Pablo Gallego Veigas Zuzendaria

Defentsa unibertsitatea: Universidade de Vigo

Fecha de defensa: 2009(e)ko abendua-(a)k 18

Epaimahaia:
  1. Gloria Revilla Lopez Presidentea
  2. Mercedes Gallardo Medina Idazkaria
  3. Isabel Arrillaga Mateos Kidea
  4. Lorenzo Burgos Ortiz Kidea
  5. Jaume Flexas Sans Kidea
Saila:
  1. Bioloxía vexetal e ciencias do solo

Mota: Tesia

Teseo: 304390 DIALNET

Laburpena

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....