2018
DOI: 10.1111/jfb.13635
|View full text |Cite
|
Sign up to set email alerts
|

Age and growth of the endemic Xingu River stingray Potamotrygon leopoldi validated using fluorescent dyes

Abstract: Between 2003 and 2005, vertebrae of 151 Xingu River Potamotrygon leopoldi (Potamotrygonidae) (75 males and 76 females) were analysed to derive a growth curve for this species. The disc width (W ) was significantly different between sexes, with females measuring 149-700 mm W and males 109-500 mm W . The average percentage error for vertebrae readings of the whole sample was 2·7%. The marginal increment ratio (R ) showed an increasing trend with the highest value in November, decreasing from December on. The maj… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
7
0
1

Year Published

2019
2019
2023
2023

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 10 publications
(8 citation statements)
references
References 36 publications
(57 reference statements)
0
7
0
1
Order By: Relevance
“…Dashes indicate that data were not available because variables were not included in a model. (Hale and Lowe, 2008;Cicia et al, 2009;Charvet et al, 2018). This validation does not imply a generalized pattern for batoids, but it does allow inference that yearly periodicity occurs regularly in this group, regardless of the taxonomic classification, habitats, or latitudinal distributions of the species.…”
Section: Discussionmentioning
confidence: 94%
“…Dashes indicate that data were not available because variables were not included in a model. (Hale and Lowe, 2008;Cicia et al, 2009;Charvet et al, 2018). This validation does not imply a generalized pattern for batoids, but it does allow inference that yearly periodicity occurs regularly in this group, regardless of the taxonomic classification, habitats, or latitudinal distributions of the species.…”
Section: Discussionmentioning
confidence: 94%
“…Both methods of model fitting were used to determine best fit as one method may provide additional information over the other when size‐at‐age data is limited, such as with the lack of an asymptote (LS) or for nonlinear data and small sample sizes (ML) (Cotton et al ., 2011). Akaike information criterion (AIC) analysis was used to determine which growth model would yield the best fit for the DW‐at‐age data for least‐squares regressions, while ML estimation used a form of AIC (AICc) with adjustment for small‐sample biases (Charvet et al ., 2018; Cotton et al ., 2011; Gianeti et al ., 2019).…”
Section: Methodsmentioning
confidence: 99%
“…A principal crítica a esses modelos é a sua escolha a priori, ao invés de uma abordagem multimodelo para decisão sobre o melhor descritor do crescimento (Katsanevakis & Maravelias 2008). Abordagens multi-modelo foram adotadas nos estudos de Colossoma macropomum (Characiformes, Serrasalmidae) (Penna et al 2005) e Potamotrygon leopoldi (Myliobatiformes, Potamotrygonidae) (Charvet et al 2018), sendo que o modelo de von Bertalanffy foi o mais robusto e adequado para descrever o crescimento das espécies analisadas. No caso de P. trucha (Lopez Cazorla & Sidorkewicj 2011), o melhor ajuste foi o modelo de Gompertz.…”
Section: Retrocálculounclassified