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Correlations of condition factor and gonadosomatic, hepatosomatic and lipo-somatic relations of Leptodactylus macrosternum (ANURA: Leptodactylidae) in the Brazilian Semi-arid

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Title
Correlations of condition factor and gonadosomatic, hepatosomatic and lipo-somatic relations of Leptodactylus macrosternum (ANURA: Leptodactylidae) in the Brazilian Semi-arid
Published in
Anais da Academia Brasileira de Ciências, September 2017
DOI 10.1590/0001-3765201720160221
Pubmed ID
Authors

Marcio F Chaves, Fernanda C M A Tenório, Igor L V L Santos, Clovis J C L, Valeria W Texeira, Geraldo J B Moura, Álvaro A C Texeira

Abstract

The objective of this study was to assess variations of the condition factor (K1) in relation to the gonadosomatic- RGS and energy reserves (hepatosomatic - RWL and liposomatic - RFB relations) of Leptodactylus macrosternum and their relationship to climate variation in the Northeast of Brazil, Caatinga area, state of Paraiba. The animals were captured fortnightly through active collecting, between January and December 2013. Significant differences were observed in the monthly variations of K1, RGS and RFB indices in male and female L. macrosternum over the months of collection. In males, K1 showed no significant relationship with the other variables. In females, RGS values only show notable correlations with RWF and K1 values. K1 values showed significant correlations with all other weight and length ratios. Climate change in the HFOB region showed significant relationships with the variation of the indexes evaluated, with the exception of RWF. The variation of K1, RGS, RWL and RFB values over the months of collection as well as their relation with the local climatic variation, showed a brief reproductive activity for the species.

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The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 24%
Student > Doctoral Student 2 12%
Researcher 2 12%
Student > Bachelor 2 12%
Lecturer 1 6%
Other 0 0%
Unknown 6 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 18%
Veterinary Science and Veterinary Medicine 2 12%
Environmental Science 2 12%
Medicine and Dentistry 2 12%
Social Sciences 1 6%
Other 1 6%
Unknown 6 35%