Evaluación de la tasa de consumo de oxígeno de (5x3x3), utilizando un respirómetro de 20 L y una bomba de recirculación de agua. Las mediciones del CO fueron realizadas cada 5 min mediante el uso de un oxímetro digital. Los resultados indican que el CO mantiene relación directa con la temperatura del agua e inversa con el peso corporal de los organismos (P < 0,05). Las regresiones entre las variables independientes y el CO se ajustaron a ecuaciones potenciales: CO = 2844,9 P -0,734, CO = 2555,9 P -0,624 y CO = 1945,4 P -0,507 a 21, 26 y 31°C respectivamente; donde P se expresa en kg, obteniéndose altos coeficientes de correlación y determinación. La ecuación resultante del análisis multivariado de regresión lineal múltiple fue: CO = 4,839 -(0,708* P) + (9,106* T). Los resultados ofrecen información para estimar la capacidad de un ambiente acuícola en base a la demanda de oxígeno de C. macropomum, aportando al desarrollo de una acuicultura con mayor sustento técnico. Palabras clave: Colossoma macropomum, consumo de oxígeno, peso, temperatura, respirómetro, acuicultura. Evaluation of oxygen consumption rate of Colossoma macropomum regarding the body weight and water temperatureABSTRACT. Colossoma macropomum is a species in the Amazon region pertaining to the greatest diversity of freshwater fish family Characidae. At the laboratory level, the rate of oxygen consumption of (CO) was determined in a routine metabolism at different body weights: 40, 60, 90, 140 and 250 g (expressed per unit of body mass) and water temperature of 21, 26 and 31°C. The experiment was design as a completely randomized factorial arrangement (5x3x3), using a respirometer of 20 L and a water recirculation pump. CO measurements were recorded every 5 min by using a digital oximeter. It was shown that the CO maintains interaction with body weight (P) and water temperature (T) (P < 0.05). The results indicate that CO remains directly related to water temperature and inversely with body weight of the organisms. The regression between independent variables and CO were adjusted to potential equations: CO = 2844.9 P -0.734, CO = 2555.9 P -0.624 and CO = 1945.4 P -0.507 for 21, 26 y 31°C respectively; where P expressed in kg, yielding high coefficients of correlation and determination. The resulting equation of the multivariate regression analysis was: CO = 4.839 -(0.706* P) + (9.106* T). The results provide information to estimate the capacity in an aquaculture environment based upon the oxygen demand of C. macropomum, contributing to the development of aquaculture with greater technical support.
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