Biotecnología de vitis viniferamodelización mediante inteligencia artificial

  1. Gago Mariño, Jorge
Supervised by:
  1. Pedro Pablo Gallego Veigas Director

Defence university: Universidade de Vigo

Fecha de defensa: 18 December 2009

Committee:
  1. Gloria Revilla Lopez Chair
  2. Mercedes Gallardo Medina Secretary
  3. Isabel Arrillaga Mateos Committee member
  4. Lorenzo Burgos Ortiz Committee member
  5. Jaume Flexas Sans Committee member

Type: Thesis

Teseo: 304390 DIALNET

Abstract

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....