Bertalanffy Growth Model (bertalanffy + growth_model)

Distribution by Scientific Domains

Kinds of Bertalanffy Growth Model

  • von bertalanffy growth model

  • Selected Abstracts

    The growth of the common two-banded seabream, Diplodus vulgaris (Teleostei, Sparidae), in Canarian waters, estimated by reading otoliths and by back-calculation

    J. G. Pajuelo
    Summary The yearly nature of increment formation in the otoliths of 1,9-year-old seabream, Diplodus vulgaris (E. Geoffrey Saint-Hilaire 1817), from the Canary Islands was validated. The marginal increment method showed that the opaque rings were formed in summer, and the translucent rings in winter. The Brody Proportional Hypothesis and the power length,radius relationship used to back-calculate the growth trajectories of D. vulgaris showed that this growth model could provide reasonable growth estimates in this species. Growth back-calculation and growth estimates obtained by direct otolith readings were similar. Data on age and size used to estimate the parameters of the von Bertalanffy growth model for D. vulagris from the Canary Islands showed that males and females had similar growth rates. [source]

    Age, growth and reproduction of Marcusenius pongolensis, Oreochromis mossambicus and Schilbe intermedius in an oligotrophic impoundment in Swaziland

    Anthony J. Booth
    Abstract The age, growth and reproductive biology of Marcusenius pongolensis, Oreochromis mossambicus and Schilbe intermedius were investigated in the Mnjoli Dam, Swaziland. Otolith annulus formation occurred in winter for M. pongolensis, and in spring/summer for O. mossambicus and S. intermedius. Maximum ages of 8, 6 and 8 years were recorded for M. pongolensis, O. mossambicus and S. intermedius, respectively. Growth was described by the von Bertalanffy growth model as Lt = 238.73(1 , exp,0.27(t+2.27) mm fork length (FL) for M. pongolensis, Lt = 226.83(1 , exp,0.45(t+2.02)) mm total length (TL) for O. mossambicus, and Lt = 214.59(1 , exp,0.60(t+1.20)) mm FL for S. intermedius. Sexual maturity was estimated for male and female M. pongolensis at 134 mm FL and 119 mm FL, respectively. Marcusenius pongolensis matured within their first year. Female O. mossambicus and S. intermedius matured at 239 mm TL and 205 mm FL, corresponding to 2 and 4 years of age, respectively. Extended spawning periods, with two spawning peaks was observed for M. pongolensis, one in spring (September) and the second in autumn (March) and one peak over late-summer for S. intermedius. Résumé L'âge, la croissance et la biologie reproductive de Marcusenius pongolensis, Oreochromis mossambicus et Schilbe intermedius ont étéétudiés dans le barrage de Mnjoli, au Swaziland. La formation des anneaux des otolithes se passe en hiver pour M. pongolensis et au printemps/été pour O. mossambicus et S. intermedius. On a enregistré les âges maximum de 8, 6 et 8 ans respectivement pour Marcusenius pongolensis, Oreochromis mossambicus et Schilbe intermedius. La croissance a été décrite selon le modèle de croissance de von Bertalanffy selon la formule suivante: Lt = 238.73(1 , exp,0.27(t+2.27) mm LF pour M. pongolensis, Lt = 226.83(1 , exp,0.45(t+2.02)) mm LT pour O. mossambicus, et Lt = 214.59(1 , exp,0.60(t+1.20)) mm LF pour S. intermedius. On a estimé que la maturité sexuelle était atteinte à 134 LF et à 119 LF respectivement pour le mâle et la femelle de M. pongolensis, qui arrivaient à maturité au cours de leur première année. Les femelles d'O. mossambicus et de S. intermedius devenaient matures à 239 mm LT et 205 mm LF, ce qui correspond à l'âge de 2 et de 4 ans, respectivement. On a observé des périodes de frai prolongées, avec deux périodes de frai pour M. pongolensis, une au printemps (septembre) et la seconde en automne (mars), et un pic en fin d'été pour S. intermedius. [source]

    Age and growth of the round stingray Urobatis halleri at Seal Beach, California

    L. F. Hale
    The age and growth of the round stingray Urobatis halleri was determined using vertebral sections from animals collected at Seal Beach, California from 2002 to 2005. Annual periodicity was validated from U. halleri injected with oxytetracycline and maintained in captivity over a 2 year period (n= 7). The coefficients estimated by the von Bertalanffy growth model were the disc width asymptote (WD,) (286 mm for males and 224 mm for females) and K (0·09 year,1 for males and 0·15 year,1 for females). The age structure of the population consisted of mostly older, mature males and females. Age at maturity was estimated at 3·80 years for females and 3·75 years for males, and the maximum assessed age was 14 years old. Males were more numerous than females throughout the year; however, from May to September, females outnumbered males. The U. halleri age and growth coefficients were comparable to other species in the family Urolophidae. Based on the seasonality and age structure of this population, Seal Beach offers warm-water refuge for U. halleri of reproductive maturity, and the U. halleri at Seal Beach may garner some behavioural thermoregulation benefit. [source]

    Joint Spatial Modeling of Recurrent Infection and Growth with Processes under Intermittent Observation

    BIOMETRICS, Issue 2 2010
    F. S. Nathoo
    Summary In this article, we present a new statistical methodology for longitudinal studies in forestry, where trees are subject to recurrent infection, and the hazard of infection depends on tree growth over time. Understanding the nature of this dependence has important implications for reforestation and breeding programs. Challenges arise for statistical analysis in this setting with sampling schemes leading to panel data, exhibiting dynamic spatial variability, and incomplete covariate histories for hazard regression. In addition, data are collected at a large number of locations, which poses computational difficulties for spatiotemporal modeling. A joint model for infection and growth is developed wherein a mixed nonhomogeneous Poisson process, governing recurring infection, is linked with a spatially dynamic nonlinear model representing the underlying height growth trajectories. These trajectories are based on the von Bertalanffy growth model and a spatially varying parameterization is employed. Spatial variability in growth parameters is modeled through a multivariate spatial process derived through kernel convolution. Inference is conducted in a Bayesian framework with implementation based on hybrid Monte Carlo. Our methodology is applied for analysis in an 11-year study of recurrent weevil infestation of white spruce in British Columbia. [source]