Nutrient flows in biofloc-Nile tilapia culture: A semi-physical modelling approach

IF 4.4 1区 农林科学 Q1 AGRICULTURAL ENGINEERING Biosystems Engineering Pub Date : 2024-10-16 DOI:10.1016/j.biosystemseng.2024.09.021
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Abstract

Biofloc culture systems potentially reduce the nutrient losses in aquaculture. However, knowledge of the nutrient flows in the system is not yet well-developed. This study deployed experimental data to develop a semi-physical model to understand the dynamics and flows of carbon (C), nitrogen (N), and phosphorus (P) in a biofloc-Nile tilapia-rearing system. The model involved eight process variables, which are pelleted feed A, C, N, P, fish, biofloc, periphyton, and water volume. Model calibration and validation were done under a Control-diet and High-NSP-diet, respectively. The diets differed by the type of starch in which the latter contains three times higher fibrous starch, called non-starch polysaccharides, than the former. Except for biofloc, the behaviour of the process variables fit the observations with a root mean square error (RMSE) of less than 30% of the corresponding average observations. The biofloc biomass was predicted using exponential growth model and results in a RMSE of 49% and 56% for the Control and High-NSP-diet, respectively. Scenario analyses, using the validated model, showed that the biofloc system generates less waste when the stocking density is doubled, which means double fish production and less nutrient losses. In terms of different diets, the high-NSP-diet resulted in more organic waste than the Control-diet. However, the amount of loss and unutilised C and P were similar which was mainly caused by the ability of biofloc and periphyton to assimilate more waste, especially C, in the High-NSP-diet.
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生物絮团-尼罗罗非鱼养殖中的养分流:半物理建模方法
生物絮团养殖系统有可能减少水产养殖中的营养损失。然而,有关该系统中营养物质流动的知识尚不完善。本研究利用实验数据建立了一个半物理模型,以了解生物絮团-尼罗罗非鱼饲养系统中碳(C)、氮(N)和磷(P)的动态和流动。该模型涉及八个过程变量,即颗粒饲料 A、C、N、P、鱼、生物絮团、浮游生物和水量。模型校准和验证分别在控制日粮和高 NSP 日粮条件下进行。两种日粮的淀粉类型不同,后者的纤维淀粉(非淀粉多糖)含量是前者的三倍。除生物絮凝物外,其他过程变量的表现均符合观测结果,均方根误差(RMSE)小于相应平均观测值的 30%。生物絮团的生物量是通过指数增长模型预测的,结果是对照组和高-NSP-饮食组的均方根误差分别为 49% 和 56%。利用验证模型进行的情景分析表明,当放养密度增加一倍时,生物絮团系统产生的废物更少,这意味着鱼产量增加一倍,营养损失更少。就不同日粮而言,高 NSP 日粮比对照日粮产生更多的有机废物。不过,C 和 P 的损失量和未利用量相似,这主要是由于高 NSP 日粮中的生物絮团和浮游生物能够吸收更多废物,尤其是 C。
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来源期刊
Biosystems Engineering
Biosystems Engineering 农林科学-农业工程
CiteScore
10.60
自引率
7.80%
发文量
239
审稿时长
53 days
期刊介绍: Biosystems Engineering publishes research in engineering and the physical sciences that represent advances in understanding or modelling of the performance of biological systems for sustainable developments in land use and the environment, agriculture and amenity, bioproduction processes and the food chain. The subject matter of the journal reflects the wide range and interdisciplinary nature of research in engineering for biological systems.
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