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首页> 外文期刊>Aquaculture Nutrition >Adapting bioenergetic factorial modelling to understand the implications of heat stress on barramundi (Lates calcarifer) growth, feed utilisation and optimal protein and energy requirements - potential strategies for dealing with climate change?
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Adapting bioenergetic factorial modelling to understand the implications of heat stress on barramundi (Lates calcarifer) growth, feed utilisation and optimal protein and energy requirements - potential strategies for dealing with climate change?

机译:调整生物能阶乘模型以了解热应激对澳洲肺鱼( Late calcarifer )生长,饲料利用以及最佳蛋白质和能量需求的影响-应对气候变化的潜在策略?

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摘要

The implications of temperature on bioenergetics for barramundi (Lates calcarifer) were defined in an improved factorial model that encompassed revised parameters accounting for effects over the temperature range of 16-39 degrees C and size range of 10-3000 g. A revised growth function describing weight gain by barramundi as a function of fish weight and temperature was derived from farm and laboratory data and included a term for a shift in optimal temperature with fish size: Gain (g fish-1 day-1)=(K+xT+yT2+zT3) * (weight)ax+b. Maintenance energy and protein demand functions were also derived on a similar form, and all three functions combined to form the basis of a factorial model for energy and protein demand. Using this model, optimal iterative feed specifications were defined for a range of fish sizes at temperatures of 25, 30 and 35 degrees C. A feed demand model was also developed based on the demand for digestible energy (DE) at each of these temperatures. The model shows that at high temperatures (35 degrees C), there is an increase in digestible protein (DP) to DE demand, and that with increasing size, there is a decrease in the DP to DE demand.
机译:在改进的因子模型中定义了温度对尖吻鲈生物能量学的影响,该因子模型包含修正的参数,这些参数考虑了在16-39摄氏度的温度范围和10-3000的温度范围内的影响G。修改后的生长函数描述了澳洲肺鱼的增重与鱼类体重和温度的关系,该数据来自农场和实验室数据,其中包括最佳温度随鱼类大小变化的术语:增重(g fish -1 day -1 )=( K + xT + yT 2 + < i> zT 3 )*(权重) ax + b 。维持能量和蛋白质需求函数也以类似的形式导出,所有这三个函数组合在一起,形成了能量和蛋白质需求因子模型的基础。使用该模型,可以在25、30和35摄氏度的温度下为一系列鱼的大小定义最佳的迭代饲料规格。还根据每种温度下的可消化能量需求(DE)建立了饲料需求模型。该模型显示,在高温(35摄氏度)下,对DE的可消化蛋白质(DP)需求增加,而随着大小的增加,对DE的DP需求减少。

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