A web-based combined nutritional model to precisely predict growth, feed requirement and waste output of gibel carp (Carassius auratus gibelio) in aquaculture operations
A web-based combined nutritional model to precisely predict growth, feed requirement and waste output of gibel carp (Carassius auratus gibelio) in aquaculture operations
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基于网络的组合营养模型，可精确预测水产养殖中银鲤（Carassius auratus gibelio）的生长、饲料需求和废物排放量
DOI：
10.1016/j.aquaculture.2018.04.019
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发表时间：
2018-07
期刊：
影响因子：
4.5
通讯作者：
Bureau Dominique P
中科院分区：
文献类型：
--
作者：
Liu Xiaojuan;Sha Zongyao;Wang Chunfang;Li Dapeng;Bureau Dominique P
水产营养模型在鱼类养殖管理中起着至关重要的作用。本研究以异育银鲫（Carassius auratusgibelio）为研究对象，基于多个养殖场的数据和已发表的研究成果，构建了异育银鲫生长、饲料需求和排泄量的综合营养模型，并开发了基于Web的模型服务平台。该组合模型包括生长模型、饲料需求模型和废物（氮和磷）输出模型。根据宁波荆州两个养殖场的生长数据和已发表的研究结果，分析了不同生长模型的性能和异育银鲫的生长轨迹。采用最小二乘法对各生长阶段的生长系数进行优化，选择最佳拟合生长模型，即热单位生长系数（TGC）模型。利用TGC模型，发现异育银鲫在整个生活史中有3个生长阶段，即第一次摄食（1 g）至13.5 g（阶段1）、13.3至175.5 g（阶段2）和> 175.5 g（阶段3）。以消化能需要量（DEreq）为指标，综合回收能（RE）、基础代谢（HeE）、摄食热增量（HiE）、尿排和鳃排（UE + ZE）等指标，确定了不同生长阶段鱼的摄食量。采用营养物质平衡法估算异育银鲫在不同生长阶段投喂不同饲料时的废物排放量，并开发了一个基于网络的服务，可在网上免费获取。该程序的设计与实现包括三个层次，前端用户端，应用层和数据存储，也报告了在目前的研究。概述了用户界面、应用层功能和数据库设计。该服务可以通过任何浏览器和移动终端访问，为养殖户、养殖场管理者和学术界研究人员提供了一个方便的渔业管理工具。对预测体重和饲料转化率的验证表明，该组合模型对异育银鲫养殖场的生长、饲料需要量和废弃物排放量的估算具有很大的参考价值。基于Web的模型服务可以是一个有效的工具，基准的生长性能，提供差异化的生产，减少饲料浪费，增加经济效益，并评估在不同的异育银鲫养殖业务的水产养殖污染。
Aquaculture nutritional models play a vital role in the management of fish culture operations. This study reported a combined nutritional model constructed based on the data from several fish farms and published studies in order to predict the growth, feed requirement and waste output of gibel carp (Carassius auratusgibelio) and the web-based model service platform. This combined model comprised a growth model, a feed requirement model and waste (nitrogen and phosphorus) output model. The performance of different growth models and the growth trajectory of gibel carp were analyzed based on growth data obtained from two fish farms in Jingzhou, Ningbo (China) and published studies. The least squares method was used to optimize the growth coefficient within each growth stanza and to choose the best fit of growth model, which was the thermal-unit growth coefficient (TGC) model. Three growth stanzas of gibel carp in its life cycle were found by using TGC model, which were from first-feeding (1 g) to 13.5 g (Stanza 1); from 13.3 to 175.5 g (Stanza 2); and > 175.5 g (Stanza 3). Feed requirement of fish in different growth stages were determined by digestible energy requirement (DEreq), estimated based on the summary of recovered energy (RE), basal metabolism (HeE), heat increment of feeding (HiE), and urinary and branchial excretion (UE + ZE). Nutrient mass balance method was used to estimate waste output when the different growth stages of gibel carp was fed with different diets.The combined model was developed as a web-based service which could be obtained freely online. The design and implementation of the program which included three layers, i.e., front user side, application layer and data storage, were also reported in the current study. The user interface, functionalities of the application layer and database design were outlined. The service could be accessed by any browser and mobile device, providing a convenient tool for fishery management for farmers, farm managers and researchers in academia.The validation of the predicted body weight and feed conversion rate (FCR) showed that the current combined model has a great reference value in estimating the growth, feed requirement and waste discharge in gibel carp farms. The web-based model service could be an effective tool for benchmarking the growth performance, providing differentiated production, reducing feed waste, increasing economic benefits, and evaluating aquaculture pollution in different gibel carp culture operations.
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DOI：
10.1016/s1546-5098(01)18006-4
发表时间：
2001-12
期刊：
Fish Physiology
影响因子：
--
作者：
A. Rowlerson;A. Veggetti
通讯作者：
A. Rowlerson;A. Veggetti
DOI：
--
发表时间：
1999
期刊：
Wsq: Women's Studies Quarterly
影响因子：
--
作者：
Y. Cui;S. Xie;M. Theodorou
通讯作者：
Y. Cui;S. Xie;M. Theodorou
影响因子：
2
作者：
H. Tveiten;H. Johnsen;M. Jobling
通讯作者：
H. Tveiten;H. Johnsen;M. Jobling
影响因子：
4.5
作者：
CHO, CY
通讯作者：
CHO, CY
DOI：
10.1139/f66-125
发表时间：
1966-09
期刊：
Wsq: Women's Studies Quarterly
影响因子：
--
作者：
R. Parker;W. E. Vanstone
通讯作者：
R. Parker;W. E. Vanstone