Modeling of waste outputs in the aquatic environment from a commercial cage farm under neotropical climate conditions

Author:

Bueno GW1,Bernal FEM2,Roubach R3,Skipper Skipper-Horton JO4,Sampaio FG5,Fialho NS1,Bureau DP4

Affiliation:

1. Aquaculture Center CAUNESP, São Paulo State University (UNESP), Campus Jaboticabal, 14884-900 Jaboticabal, Brazil

2. Faculty of Agronomy and Veterinary Medicine, University of Brasilia (UnB), Darcy Ribeiro Campus - ICC Sul, Asa Norte, 70910-900 Brasília, DF, Brazil

3. Fisheries and Aquaculture Department, Food and Agriculture Organization of the United Nations (FAO/UN), Rome 00153, Italy

4. Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada

5. Embrapa Environment, Brazilian Agricultural Research Corporation (EMBRAPA), Rod. SP 340, Km 127,5, CEP: 13.918-110, Jaguariúna, SP, Brazil

Abstract

The present study used a bioenergetics modeling approach to estimate the solid and dissolved waste outputs of a Nile tilapia Oreochromis niloticus net-cage farm. Historical production data for 30 cages were obtained from a commercial farm in the Chavantes Reservoir, São Paulo State, Brazil. In addition, an experiment was carried out in 4 net-cages at the farm to validate this dataset and collect fish samples. A total of 32400 tilapias with an initial weight averaging 35 ± 2.73 g were equally distributed in the experimental net cages. After 210 d, the fish showed a final individual weight of ~789 ± 5.12 g. Fish growth performance was monitored, and body composition was analyzed each month. Digestibility trials of commercial diets used for juvenile stages JVI and JVII and market weight were performed. Relationships of body weight with body content data of water, protein, fat, ash, gross energy, phosphorus, and nitrogen were evaluated by regression analysis. The total digestible energy requirement and estimated residues of the fish were assessed using the factorial bioenergetics model, adapted to the growing conditions of a neotropical reservoir. The model estimated ~320 kg of total solid waste released per tonne of tilapia, including ~10 kg of solid nitrogen and ~5 kg of solid phosphorus. Approximately 3 and 47 kg of dissolved phosphorus and nitrogen, respectively, were estimated per tonne of tilapia. The bioenergetics model is a valuable and equitable method for assessing and monitoring waste outputs. It can improve the nutritional and environmental efficiency of aquaculture activities, helping producers to reduce feed costs while strengthening the environmental sustainability of aquaculture.

Publisher

Inter-Research Science Center

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Aquatic Science

Reference48 articles.

1. Alves RCP, Baccarin AL (2005) Efeitos da produção de peixes em tanques-rede sobre sedimentação de material em suspensão e de nutrientes no Córrego da Arribada (UHE Nova Avanhandava) baixo Rio Tietê. In: Nogueira MG, Henry R, Jorcin A (eds) Ecologia de reservatórios: impactos potenciais. Ações de manejo e sistemas em cascata. Rima, São Carlos, p 329-348

2. AOAC (Association of Official Analytical Chemists) (2000) Method 985.01. In: Official methods of analysis of the Association of Official Analytical Chemists, 16th edn. AOAC, Arlington, VA

3. APHA (American Public Health Association) (2005) Standard methods for the examination of water and wastewater. APHA, Washington, DC

4. Estimation of waste outputs by a rainbow trout cage farm using a nutritional approach and monitoring of lake water quality

5. Environmental impacts of existing and future aquaculture production: Comparison of technologies and feed options in Singapore

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3