Reproduction of Mugil cephalus (Percoidei: Mugilidae) off the Central Mexican Pacific Coast

Espino-Barr, Elaine; Gallardo-Cabello, Manuel; Puente-Gómez, Marcos; García-Boa, Arturo

doi:10.4172/2150-3508.1000180

Cited by 13 publications

(11 citation statements)

References 10 publications

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“…The glossary terminology of Secor et al [10], was used to describe the labyrinth system and the sagittae of this species. In the case of the asterisci and lapilli, similar concepts were used for description as in Gallardo-Cabello et al [11][12][13][14][15][16][17], and Espino-Barr et al [18][19][20][21].…”

Section: Methodsmentioning

confidence: 99%

Study of the Age of Centropomus robalito by Otoliths Analysis of sagitta, asteriscus and lapillus in Mexican Central Pacific

Barr¹,

Manzanillo²

2019

AAF

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Morphology, morphometry and growth rings of the otoliths: Sagitta, asteriscus and lapillus of Centropomus robalito Jordan and Gilbert 1882 in Cuyutlan lagoon, Colima, Mexico were studied. Samples were taken from October 2015 to September 2016. Differences between sexes, as right and left of the three pairs of otoliths were analyzed. In all cases the growth of the otoliths was eccentric to the core. The relationship between total length of the fish and length of the sagitta showed that this structure is suitable to determine the age of this species. Nine growth rings were identified on sagittae. The identification of growth rings was carried out only in sagittae. Data on lengths obtained by polymodal curves of C. robalito were compared to the present results.

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Section: Methodsmentioning

confidence: 99%

Study of the Age of Centropomus robalito by Otoliths Analysis of sagitta, asteriscus and lapillus in Mexican Central Pacific

Barr¹,

Manzanillo²

2019

AAF

Self Cite

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“…As for a computationally simpler method of obtaining initial estimates for the best fit parameters, there is a large body of literature using the Walford plot for data fitting (e.g., Espino-Barr et al, 2015 ), which was explained in Fig. 1 .…”

Section: Methodsmentioning

confidence: 99%

On the exponent in the Von Bertalanffy growth model

Renner-Martin

Brunner

Kühleitner

et al. 2018

PeerJ

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Von Bertalanffy proposed the differential equation m′(t) = p × m(t)a − q × m(t) for the description of the mass growth of animals as a function m(t) of time t. He suggested that the solution using the metabolic scaling exponent a = 2/3 (Von Bertalanffy growth function VBGF) would be universal for vertebrates. Several authors questioned universality, as for certain species other models would provide a better fit. This paper reconsiders this question. Based on 60 data sets from literature (37 about fish and 23 about non-fish species) it optimizes the model parameters, in particular the exponent 0 ≤ a < 1, so that the model curve achieves the best fit to the data. The main observation of the paper is the large variability in the exponent, which can vary over a very large range without affecting the fit to the data significantly, when the other parameters are also optimized. The paper explains this by differences in the data quality: variability is low for data from highly controlled experiments and high for natural data. Other deficiencies were biologically meaningless optimal parameter values or optimal parameter values attained on the boundary of the parameter region (indicating the possible need for a different model). Only 11 of the 60 data sets were free of such deficiencies and for them no universal exponent could be discerned.

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“…As for a computationally simpler method, there is a large body of literature using the 270 Walford plot for data fitting (e.g. Espino-Barr et al, 2015), which was explained in Figures 3 and 271 5. However, that method did not always provide good initial estimates.…”

Section: Introductionmentioning

confidence: 99%

On the exponent in the von Bertalanffy growth model

Renner-Martin

Brunner

Kühleitner

et al. 2017

Preprint

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Bertalanffy proposed the differential equation m´(t) = p × m (t) a -q × m (t) for the description of the mass growth of animals as a function m(t) of time t. He suggested that the solution using the metabolic scaling exponent a = 2/3 (von Bertalanffy growth function VBGF) would be universal for vertebrates. Several authors questioned universality, as for certain species other models would provide a better fit. This paper reconsiders this question. Using the Akaike information criterion it proposes a testable definition of 'weak universality' for a taxonomic group of species. (It roughly means that a model has an acceptable fit to most data sets of that group.) This definition was applied to 60 data sets from literature (37 about fish and 23 about non-fish species) and for each dataset an optimal metabolic scaling exponent 0 ≤ a opt < 1 was identified, where the model function m(t) achieved the best fit to the data. Although in general this optimal exponent differed widely from a = 2/3 of the VBGF, the VBGF was weakly universal for fish, but not for nonfish. This observation supported the conjecture that the pattern of growth for fish may be distinct. The paper discusses this conjecture. E-mail corresponding author: katharina.renner-martin@boku.ac.at 8 9 Abstract. Bertalanffy proposed the differential equation m´(t) = pm(t) a -qm(t) for the description of the mass growth 10 of animals as a function m(t) of time t. He suggested that the solution using the metabolic scaling exponent a = 2/3 11 (von Bertalanffy growth function VBGF) would be universal for vertebrates. Several authors questioned universality, 12 as for certain species other models would provide a better fit. This paper reconsiders this question. Using the Akaike 13 information criterion it proposes a testable definition of 'weak universality' for a taxonomic group of species. (It 14 roughly means that a model has an acceptable fit to most data sets of that group.) This definition was applied to 60 15 data sets from literature (37 about fish and 23 about non-fish species) and for each dataset an optimal metabolic scaling 16 exponent 0 ≤ a opt < 1 was identified, where the model function m(t) achieved the best fit to the data. Although in 17 general this optimal exponent differed widely from a = 2/3 of the VBGF, the VBGF was weakly universal for fish, 18 but not for non-fish. This observation supported the conjecture that the pattern of growth for fish may be distinct. The 19 paper discusses this conjecture. PeerJ Preprints20 Keywords: Akaike's information criteria (AIC), multi-model inference, von Bertalanffy growth function (VBGF), 21 metabolic scaling exponent, weak universality 22 Introduction23 Growth models: Size at age is a key metric of productivity for any animal population (MacNeil 24 et al., 2017) and since Verhulst' (1838) seminal work about the logistic function a wide range of 25 growth models to describe the size of animals as a function of time has been developed. Amongst 26 applications are improved otolith analysis for age estimat...

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Reproduction of Mugil cephalus (Percoidei: Mugilidae) off the Central Mexican Pacific Coast

Cited by 13 publications

References 10 publications

Study of the Age of Centropomus robalito by Otoliths Analysis of sagitta, asteriscus and lapillus in Mexican Central Pacific

Study of the Age of Centropomus robalito by Otoliths Analysis of sagitta, asteriscus and lapillus in Mexican Central Pacific

On the exponent in the Von Bertalanffy growth model

On the exponent in the von Bertalanffy growth model

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