SciELO - Scientific Electronic Library Online

vol.11 número3La fertirrigación inteligente, pilar de una agricultura sostenibleSistema para la alerta temprana de los efectos del cambio climático en la agricultura índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados




  • Não possue artigos citadosCitado por SciELO

Links relacionados

  • Não possue artigos similaresSimilares em SciELO


Revista Cubana de Ciencias Informáticas

versão On-line ISSN 2227-1899


GARCIA BRIZUELA, Jorge; SANTIESTEBAN-TOCA, Cosme E.  e  CAPDESUNER RUIZ, Yanelis. Heuristic determination of relations between the structures and the production of secondary metabolites. Rev cuba cienc informat [online]. 2017, vol.11, n.3, pp.50-63. ISSN 2227-1899.

ABSTRACT The tobacco culture and production, especially in tropical countries, is highly dependent of pesticides. But, the application of pesticides is often ineffective and dangerous to the humans and the environment. Moreover, it is well known that some secondary metabolites play an essential role in the protection of plants against pathogens. However, establishing the relationship between the production of secondary metabolites and the phonotypical traits requires an extensive experimentation and manual tracking information. Moreover, from the metabolite profile of a particular plant we can derive its biological activity, but it is impossible to deduce the exact metabolic profile of plants according to their biological activity. Therefore, the objective of this research is to design a method based on machine learning techniques, trained on the plants phenotypic profile, which is able to learn the correlation between the secondary metabolites and phenotypic traits of tobacco plants. Finding the relationship between phenotypes and the expression level of a given metabolite, is a regression problem. For this reason, some traditional statistics techniques and machine learning techniques were employed. As a result of experimentation, it was determined that the use of a REPTree regression tree, determines the characteristics that best correlate with the studied metabolite. Also, as an added value, it is able to return a set of simple rules that describe this process.

Palavras-chave : correlation; metabolites; phenotypes; regression.

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )


Creative Commons License Todo o conteúdo deste periódico, exceto onde está identificado, está licenciado sob uma Licença Creative Commons