SciELO - Scientific Electronic Library Online

 
vol.11 número3Predicción del rendimiento y la calidad de tres gramíneas en el valle del cautoSistema clasificador borroso basado en algoritmos genéticos para evaluar el estado de ejecución de proyectos índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Artigo

Indicadores

  • Não possue artigos citadosCitado por SciELO

Links relacionados

  • Não possue artigos similaresSimilares em SciELO

Compartilhar


Revista Cubana de Ciencias Informáticas

versão On-line ISSN 2227-1899

Resumo

MOLINA CONCEPCION, Osmany et al. Taxobanger v.1.0: Computer application in R for the taxonomic analysis in plant germplasm banks. Rev cuba cienc informat [online]. 2017, vol.11, n.3, pp. 159-173. ISSN 2227-1899.

ABSTRACT Plant genetic resources have become a scientific priority, which makes it so important to analyze this diversity through quantitative methods that help to group populations of the same genus or species. The language and programming environment for statistical analysis and graph known as R, was used in order to develop an application software for the taxonomic analysis of the germplasm collections preserved in the Institute of Research of Tropical Root and Tuber Crops. Agglutination was achieved in a single program of functions that allows the collection and manipulation of data, the definition of the level of measurement of variables and the execution of four strategies for classification. These strategies define different data structures from the combination of statistical techniques that determine those conglomerates that better match the characteristics of germplasm collections.  In addition, this application software allows the curators of germplasm banks to have a computer tool that helps in the classification of preserved variability according to its characters, no need to have an extensive knowledge in the statistics and computational techniques. This is highly qualified, because it saves time in statistical processing and provides broader vision and reliability in the obtained results. The present research favors the management of the biodiversity preserved in germplasm banks and extends its use in the genetic improvement of plant species, since it allows a better use of the information and an efficient handling of the genetic material.

Palavras-chave : Classification; free software; R programming language; genetic resources.

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

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License