Pakistan Science Abstracts
Article details & metrics
No Detail Found!!
A cladistic analysis of pyralid species (Lepidoptera: pyralidae) from Pakistan.
Author(s):
1. SYED KAMALUDDIN: Fedral Urdu University of Arts, Sciences and Technology, Gulshan-e-Iqbal, Karachi, Pakistan
2. ISMA YASIR: Fedral Urdu University of Arts, Sciences and Technology, Gulshan-e-Iqbal, Karachi, Pakistan
3. SHAKIRA: Govt . Degree Science and Commerce college, orange Township, Karachi, Pakistan
4. NADEEM BAIG: APWA Government Higher Secondary School, Liaquatabad, Karachi, Pakistan
Abstract:
A cladistic analysis of thirty species of twenty five genera of the family Pyralidae is carried out from Pakistan using their apomorphic characters and discuss their relationships to each other. The cladistic analysis is a task which gives the results of evolutionary relationship of the studied taxa. Most of the authors attempted this task using the apamorphic similarities . Among the different families of the Lepidoptera Peigler (1993) , Kamaluddin et al., (1997 , 1999 , 2000 , 2013 a and b and recently 2015) , Emerson et al., (1997), Brower (2000) and Decamargo et al., (2009) were attempted. In Pakistan the cladistic analysis of the representatives of different families attempted and revived by Kamaluddin et al., (1997) with reference to Lymartrid genera , Kamaluddin et al., (1999) attempted key to the genera , distributional ranges and cladistic analysis of sphingid genera, Kamaluddin et al., (2000 , 2013a and 2013b) attempted cladistic analysis of the subfamily Trifinae , Plucinae and Noctuinae respectively of the family Noctuidae using apomorphies of the included taxa, and recently in 2015 attempted cladistic analysis of the family Geomatridae.
Page(s): 61-73
DOI: DOI not available
Published: Journal: FUUAST Journal of Biology, Volume: 7, Issue: 1, Year: 2017
Keywords:
Keywords are not available for this article.
References:
References are not available for this document.
Citations
Citations are not available for this document.
0

Citations

0

Downloads

32

Views