SciELO - Scientific Electronic Library Online

 
vol.35 issue2Sarcophagidae (Diptera) of forensic importance in Colombia: taxonomic keys, notes on biology, and distributionSusceptibility of Aedes aegypti (Diptera: Culicidae) to temephos in Atlántico-Colombia author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Revista Colombiana de Entomología

Print version ISSN 0120-0488On-line version ISSN 2665-4385

Abstract

DALMIRO CAZORLA, P. Multivariate morphometric differentiation between females of two cryptic species of Lutzomyia subgenus Helcocyrtomyia (Diptera: Psychodidae). Rev. Colomb. Entomol. [online]. 2009, vol.35, n.2, pp.197-201. ISSN 0120-0488.

The vectorial capacity of sibling species of the Neotropical genus Lutzomyia is likely to differ, thus a means of identifying the most important vector species is of critical importance to the epidemiology and control of the leishmanioses. Multivariate statistical procedures were employed to determine whether the females of two sibling sandfly species (genus Lutzomyia) of the subgenus Helcocyrtomyia, L. ceferinoi (N= 31) and L. erwindonaldoi (N= 32), can be discriminated on the basis of quantitative metric characters. Size independent discriminant analysis compared a set of three morphological characters of the wing (length of veins δ and α, and width of wing) measured from known specimens to detect differences between the two species. Morphometric discriminant analysis allowed differentiation of the females of both species with a high degree of accuracy (canonical correlation = 0.97; P << 0.01). The discriminant equations obtained may represent a useful and practical complementary taxonomic tool to distinguish accurately between previously unidentified female specimens of L. ceferinoi and L erwindonaldoi by measuring just three wing characters; these data can even be analyzed in the field for epidemiological in situ studies, aided by the widespread availability of laptops and statistical software

Keywords : Sandflies; Multivariate analysis; Leishmanioses; Sibling species.

        · abstract in Spanish     · text in English     · English ( pdf )

 

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