Growth of rainbow trout (<i>Oncorhynchus mykiss</i>) in warm-temperate lakes: implications for environmental change

BlairJennifer, M; Ostrovsky, Ilia; Hicks, Brendan J.; PitkethleyRobert, J; ScholesPaul,

doi:10.1139/cjfas-2012-0409

Cited by 13 publications

(11 citation statements)

References 49 publications

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“…This means that the larger the numeric value, the quicker the fish will reach the asymptotic or infinite weight (Malhado et al, 2009). Estimated B values in this study (between 0.008 to 4.9661) have the tendency to be greater than those values (between 0.061 to 1.76) obtained from wild rainbow trout (Blair et al, 2013;Sloat and Reeves, 2014;Cilbiz and Yalim, 2017). Similarly, Lugert et al (2016) found similar differences in parameter B between cultured and wild Scophthalmus maximus, relating these differences to the positive effect of controlled environmental conditions in recirculation production systems.…”

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confidence: 54%

Modeling the weight gain of freshwater-reared rainbow trout ( Oncorhynchus mykiss ) during the grow-out phase

Janampa-Sarmiento

Takata

Freitas

et al. 2020

Revista Brasileira De Zootecnia

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Aquaculture Full-length research article Modeling the weight gain of freshwater-reared rainbow trout (Oncorhynchus mykiss) during the grow-out phase ABSTRACT-We used five nonlinear models to calculate the weight gain of rainbow trout (122.11±15.6 g) during the final grow-out phase of 98 days under three different feed types (two commercials diets, A and B, and one experimental diet, C) in triplicate groups. We fitted the von Bertalanffy growth function with allometric and isometric scaling coefficient, Gompertz, Logistic, and Brody functions to weight (g) at age data of 900 fish, distributed in nine tanks. The equations were fitted to the data based on the least squares method using the Marquardt iterative algorithm. The accuracy of the fitted models was evaluated using a model performance metrics, combining mean squared residuals (MSR), mean absolute error (MAE), and Akaike's Information Criterion corrected for small sample sizes (AICc). All models converged in all cases tested. The evaluation criteria for the Logistic model indicated the best overall fit (0.704) under all different feed types, followed by the Gompertz model (0.148), and the von Bertalanffy-I and von Bertalanffy-A with 0.074 each. The obtained asymptotic values are in agreement with the biological attributes of the species, except for the Brody model, whose values were massively exceeding the biologic traits of rainbow trout in 0.556 of tested cases. Additionally, ∆AICc results identify the Brody model as the only model not substantially supported by the data in any case. All other models are capable of reflecting the effects of various feed types; these results are directly applicable in farm management decisions.

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confidence: 54%

Modeling the weight gain of freshwater-reared rainbow trout ( Oncorhynchus mykiss ) during the grow-out phase

Janampa-Sarmiento

Takata

Freitas

et al. 2020

Revista Brasileira De Zootecnia

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“…Finally, subestuary characteristics such as dissolved oxygen, productivity, depth, and availability of refugia can greatly affect the growth and behavior of fishes (e.g., Pörtner and Peck ; Blair et al. ; Andersen et al. ).…”

Section: Discussionmentioning

confidence: 99%

Density‐Dependence Mediates the Effects of Temperature on Growth of Juvenile Blue Catfish in Nonnative Habitats

Nepal

Fabrizio

2020

Trans Am Fish Soc

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The combined effects of conspecific density and climate warming on the vital rates of invasive fish species have not been well studied, but may be important in predicting how successful they will be in the future. We evaluated the effects of temperature and population density on monthly time series of sizes of age-0 Blue Catfish Ictalurus furcatus in the James, York, and Rappahannock River subestuaries (defined here as tidally influenced bodies of water that feed into the Chesapeake Bay) from 1996 to 2017, using growing degree-days (GDDs,°C day) as a measure of thermal time. Our predictive linear mixed-effects model explained 86% of the variation in the length of age-0 Blue Catfish. In addition, it indicated a strong positive effect of temperature on the growth rate of age-0 Blue Catfish, with individual fish biomass during warm years up to 63% higher than during cool years. Growth rate was influenced negatively by the abundance of age-0 and older fish, resulting in at least fourfold differences in the predicted biomass of Blue Catfish by the end of the first year of life depending on conspecific density. We also observed regional differences in the growth rates of Blue Catfish in the three subestuaries we examined; although growth occurred in all subestuaries, growth was highest for the Rappahannock River population even though this river accumulated the fewest GDDs. Rising water temperatures due to global climate change will likely increase the growth rate of age-0 Blue Catfish in the Chesapeake Bay region, potentially intensifying the negative impacts of this invasive species on the ecology of Chesapeake Bay. However, individual populations respond differently to warming temperatures, and thus, potential increases in the growth rate of age-0 Blue Catfish may be partially offset by local conditions that may serve to limit growth.

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“…2004; Blanck and Lamouroux 2007;Blair et al 2013). Growth rates, in turn, have been linked to various life history traits (Dmitriew 2011).…”

Section: R a F Tmentioning

confidence: 99%

Egg size and lipid content of lake trout (Salvelinus namaycush) in the wild and in captivity

Johnston

2018

Can. J. Fish. Aquat. Sci.

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Egg quality influences early life survival in fishes, but drivers of egg quality variation remain poorly understood. I examined egg quality of a long-lived, iteroparous salmonid (lake trout (Salvelinus namaycush)) with respect to maternal traits and environmental conditions in wild and captively reared populations. Variation was stronger and more consistent for egg size than for lipid content. Among females, egg size was most strongly related to maternal age, in both wild and captive populations, and faster-growing females tended to produce larger eggs. Among wild populations, maternal growth was more strongly associated with indices of ecosystem size or productivity than climate, whereas the opposite was observed for egg size. Egg size and, to a lesser extent, maternal growth in captive populations were positively correlated with egg size and growth, respectively, in their wild source populations. However, captive females grew faster and produced larger eggs at age, but smaller eggs at length, than their wild counterparts. Lake trout egg quality variation has both maternal and environmental components, and captive rearing appears to alter the ontogenetic progression of egg size.

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Growth of rainbow trout (Oncorhynchus mykiss) in warm-temperate lakes: implications for environmental change

Cited by 13 publications

References 49 publications

Modeling the weight gain of freshwater-reared rainbow trout ( Oncorhynchus mykiss ) during the grow-out phase

Modeling the weight gain of freshwater-reared rainbow trout ( Oncorhynchus mykiss ) during the grow-out phase

Density‐Dependence Mediates the Effects of Temperature on Growth of Juvenile Blue Catfish in Nonnative Habitats

Egg size and lipid content of lake trout (Salvelinus namaycush) in the wild and in captivity

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