RESUMO

The present study evaluated the influence of thermal management during the larviculture of Betta splendens on survival and sex ratio, aiming to increase the proportion of males. Newly hatched larvae were subjected to different thermal regimes, namely, T25, T28, T30 and T33 (25, 28, 30 and 33°C, respectively). The experiment was laid out in a completely randomized design, with 4 treatments and 10 repetitions. Thermal treatment was maintained until 15 days post-hatch (DPH). Mortality was determined at the end of the thermal regime and again at 45 DPH. At the end of the experiment, the number of males and females obtained in the different thermal treatments was counted to analyze the obtained sex ratio. There was a significant effect on mortality as a function of temperature only at 15 DPH (p <0.001), with the lowest values recorded in treatments T25, T28 and T30. In terms of sex ratio, up to 65% of males were obtained in treatment T33 (p = 0.037). In conclusion, thermal management during the larval period can be a strategy to increase the proportion of males, but the increase in mortality due to the rise in temperature should be considered.(AU)

O presente estudo avaliou a influência da manipulação térmica durante a larvicultura de Betta splendens na sobrevivência e razão sexual, buscando aumento na proporção de machos. Larvas recém-eclodidas foram submetidas a diferentes regimes térmicos, denominados: T25, T28, T30 e T33 (25, 28, 30 e 33°C, respectivamente). Seguiu-se um delineamento inteiramente casualizado, com 4 tratamentos e 10 repetições. O tratamento termal foi mantido até os 15 DPE (dias pós-eclosão). No encerramento do regime termal e novamente aos 45 DPE foi contabilizada a mortalidade. No final do experimento foi contabilizado o número de machos e fêmeas obtidos nos diferentes tratamentos térmicos para análise da proporção sexual obtida. Houve efeito significativo da mortalidade em função da temperatura apenas aos 15 DPE (p <0,001) e os tratamentos T25, T28 e T30 apresentaram os menores valores para tal parâmetro. Para a razão sexual, foram obtidos até 65% de machos no tratamento T33 (p = 0,037). Conclui-se que a manipulação termal durante o período larval pode ser uma estratégia para o aumento da proporção de machos, considerando o aumento da mortalidade em função da elevação da temperatura.(AU)

Assuntos

RESUMO

The present study evaluated the influence of thermal management during the larviculture of Betta splendens on survival and sex ratio, aiming to increase the proportion of males. Newly hatched larvae were subjected to different thermal regimes, namely, T25, T28, T30 and T33 (25, 28, 30 and 33°C, respectively). The experiment was laid out in a completely randomized design, with 4 treatments and 10 repetitions. Thermal treatment was maintained until 15 days post-hatch (DPH). Mortality was determined at the end of the thermal regime and again at 45 DPH. At the end of the experiment, the number of males and females obtained in the different thermal treatments was counted to analyze the obtained sex ratio. There was a significant effect on mortality as a function of temperature only at 15 DPH (p <0.001), with the lowest values recorded in treatments T25, T28 and T30. In terms of sex ratio, up to 65% of males were obtained in treatment T33 (p = 0.037). In conclusion, thermal management during the larval period can be a strategy to increase the proportion of males, but the increase in mortality due to the rise in temperature should be considered.

O presente estudo avaliou a influência da manipulação térmica durante a larvicultura de Betta splendens na sobrevivência e razão sexual, buscando aumento na proporção de machos. Larvas recém-eclodidas foram submetidas a diferentes regimes térmicos, denominados: T25, T28, T30 e T33 (25, 28, 30 e 33°C, respectivamente). Seguiu-se um delineamento inteiramente casualizado, com 4 tratamentos e 10 repetições. O tratamento termal foi mantido até os 15 DPE (dias pós-eclosão). No encerramento do regime termal e novamente aos 45 DPE foi contabilizada a mortalidade. No final do experimento foi contabilizado o número de machos e fêmeas obtidos nos diferentes tratamentos térmicos para análise da proporção sexual obtida. Houve efeito significativo da mortalidade em função da temperatura apenas aos 15 DPE (p <0,001) e os tratamentos T25, T28 e T30 apresentaram os menores valores para tal parâmetro. Para a razão sexual, foram obtidos até 65% de machos no tratamento T33 (p = 0,037). Conclui-se que a manipulação termal durante o período larval pode ser uma estratégia para o aumento da proporção de machos, considerando o aumento da mortalidade em função da elevação da temperatura.

Assuntos

RESUMO

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.(AU)

Assuntos