首页> 外文期刊>Fisheries and Aquaculture Journal >Optimum Harvest Time of the Nile Tilapia ( Oreochromis niloticus ) in Honduras: A Two Step OLS Procedure to Obtain the Growth Function
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Optimum Harvest Time of the Nile Tilapia ( Oreochromis niloticus ) in Honduras: A Two Step OLS Procedure to Obtain the Growth Function

机译:洪都拉斯尼罗罗非鱼(Oreochromis niloticus)的最佳收获时间:获得生长功能的两步OLS方法

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Several aquaculture firms in Honduras lack a profit function for tilapia production, which complicates their decision-making. Furthermore, several statistical procedures used to obtain a production function are too complex for these firms to implement on their own. Thus, a simple, yet efficient, model was developed for these firms to follow. The model for this function consists of a gross-margin function composed of an income and a cost function. The OLS procedure in this model differs from several studies by using the OLS obtained length-weight parameter, “b” as an input to estimate “k” in a second OLS regression. The latter regression is applied to a log-lin model of a weight-based von Bertalanffy growth function. The estimated length-weight exponent, “b” used in the growth function, the growth parameter per day, “k” and the mortality parameter per day, “z” are 2.92289, 0.00821 and 0.00086 respectively. The optimum harvest time estimated for one period is 199 Days after Stocking (DAS) when there is no restriction in the market for the size of fish and 208 DAS when minimum market length is 20 cm. The optimum harvest time for infinite time horizon is 117 DAS if there is no size restriction.
机译:洪都拉斯的一些水产养殖公司缺乏罗非鱼生产的利润函数,这使他们的决策复杂化。此外,用于获得生产函数的几种统计程序对于这些公司来说过于复杂而无法自行实施。因此,为这些公司开发了一个简单而有效的模型。该函数的模型包括由收入和成本函数组成的毛利函数。该模型中的OLS程序与一些研究不同,通过使用OLS获得的长度权重参数“ b”作为输入来估计第二次OLS回归中的“ k”。后一种回归应用于基于权重的von Bertalanffy生长函数的log-lin模型。生长函数中使用的估计的长体重指数“ b”,每天的生长参数“ k”和每天的死亡率参数“ z”分别为2.92289、0.00821和0.00086。当市场上对鱼的大小没有限制时,一个时期的最佳收获时间估计是放养后199天(DAS),而最小市场长度为20 cm时则为208 DAS。如果没有大小限制,则无限时间范围内的最佳收获时间为117 DAS。

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