Identification of Relevant Phytochemical Constituents for Characterization and Authentication of Tomatoes by General Linear Model Linked to Automatic Interaction Detection (GLM-AID) and Artificial Neural Network Models (ANNs)

There are a large number of tomato cultivars with a wide range of morphological, chemical, nutritional and sensorial characteristics. Many factors are known to affect the nutrient content of tomato cultivars. A complete understanding of the effect of these factors would require an exhaustive experim...

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Detalles Bibliográficos
Autores principales: Hernández Suárez, Marcos, Astray Dopazo, Gonzalo, Larios López, Dina, Espinosa, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4467870/
https://www.ncbi.nlm.nih.gov/pubmed/26075889
http://dx.doi.org/10.1371/journal.pone.0128566

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4467870/
https://www.ncbi.nlm.nih.gov/pubmed/26075889
http://dx.doi.org/10.1371/journal.pone.0128566

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