Biotecnología de vitis viniferamodelización mediante inteligencia artificial

  1. Gago Mariño, Jorge
Dirixida por:
  1. Pedro Pablo Gallego Veigas Director

Universidade de defensa: Universidade de Vigo

Fecha de defensa: 18 de decembro de 2009

Tribunal:
  1. Gloria Revilla Lopez Presidenta
  2. Mercedes Gallardo Medina Secretario/a
  3. Isabel Arrillaga Mateos Vogal
  4. Lorenzo Burgos Ortiz Vogal
  5. Jaume Flexas Sans Vogal

Tipo: Tese

Teseo: 304390 DIALNET

Resumo

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....