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首页> 外文期刊>Marine _Freshwater Research >Modelling and comparison of growth of the silver-lip pearl oyster Pinctada maxima (Jameson) (Mollusca : Pteriidae) cultured in West Papua, Indonesia
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Modelling and comparison of growth of the silver-lip pearl oyster Pinctada maxima (Jameson) (Mollusca : Pteriidae) cultured in West Papua, Indonesia

机译:在印度尼西亚西巴布亚养殖的银唇珍珠贝牡蛎Pinctada maxima(Jameson)(软体动物:Pteriidae)生长的建模和比较

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摘要

A commonly used approach to quantifying growth is to fit mathematical models to length-at-age data. Growth of the silver-lip pearl oysters, Pinctada maxima, cultured at a commercial pearl farm in West Papua, Indonesia was expressed mathematically by fitting five growth models (Gompertz, Richards, Logistic, Special von Bertalanffy Growth Function (VBGF) and General VBGF) to length-at-age data. The criteria used to determine the best fit model were a low mean residual sum of squares (MRSS), high coefficient of determination (r2) and low deviation of the asymptotic length (L∞) from the maximum length (Lmax). Using these criteria, the models were ranked accordingly: Special VBGF; General VBGF; Gompertz; Richards and Logistic models. The Special VBGF yielded the best fit (L∞ = 168.38 mm; K = 0.930 year–1; t0 = 0.126; MRSS = 208.64; r2 = 0.802; Deviation of L∞ from Lmax = 37.52 mm) and, accordingly, was used to model the growth of oysters cultured at three sites and two depths within the farm. Likelihood ratio tests were used to compare growth of oysters cultured at these sites and depths. Based on L∞ and K values, favourable sites and depths could be determined that optimised growth requirements for the various stages of P. maxima culture. Sites with high K and L∞ values were preferred sites for culturing juvenile oysters before pearl production, when high growth rate is essential to produce large numbers of oysters in the shortest time possible. In addition, high L∞ may facilitate implantation of larger nuclei conducive to the production of larger, more valuable pearls. Conversely, sites with low K values were preferred sites for weakening P. maxima before pearl ‘seeding’, a process undertaken to minimise nucleus rejection after seeding.
机译:量化增长的常用方法是使数学模型适合年龄长度数据。通过拟合五个生长模型(Gompertz,Richards,Logistic,von von Bertalanffy增长函数(VBGF)和General VBGF)来数学表达在印度尼西亚西巴布亚商业珍珠养殖场养殖的银唇珍珠牡蛎的生长。到年龄长度数据。用于确定最佳拟合模型的标准是低均值残差平方和(MRSS),高确定系数(r2)和渐进长度(L∞)与最大长度(Lmax)的低偏差。使用这些标准,对模型进行了相应的排名:特殊VBGF;通用VBGF; Gompertz;理查兹和物流模型。特殊VBGF产生了最佳拟合(L∞= 168.38 mm; K = 0.930年–1; t0 = 0.126; MRSS = 208.64; r2 = 0.802;L∞与Lmax的偏差= 37.52 mm),因此,用于模拟养殖场中三个地点和两个深度的牡蛎的生长。可能性比测试用于比较在这些地点和深度养殖的牡蛎的生长。根据L∞和K值,可以确定有利的部位和深度,从而优化最大体育培养各个阶段的生长要求。具有高K和L∞值的养殖场是珍珠养殖前养殖少年牡蛎的首选地点,因为高生长率对于在尽可能短的时间内生产大量牡蛎至关重要。另外,高L∞可以促进较大核的植入,这有利于生产更大,更有价值的珍珠。相反,低K值的位点是在珍珠“播种”之前弱化极大假单胞菌的首选位点,该过程旨在最大程度地减少播种后的核排斥。

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