Aquacultural System Management Tool (AQUASMAT) I: Model development

Anyadike, C.C.; Mbajiorgu, C.C.; Ajah, Genesis Nnaemeka

doi:10.1016/j.aquaeng.2015.10.002

Cited by 5 publications

(6 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Examples of modelling of aquaculture systems include the works of, e.g. Halachmi, Simon and Mozes () and Anyadike, Mbajiorgu and Ajah (). The present paper will mention the work of M. Føre, M. Alver, J‐A.…”

Section: Introductionmentioning

confidence: 99%

Tank size and fish management history matters in experimental design

et al. 2016

View full text Add to dashboard Cite

To investigate the questions: (1) does tank size affect fish performance; (2) does tank size prior to an experiment affect later fish performance and (3) how does performance in experimental tanks compare with rearing in industry-scale cages, Atlantic salmon smolts were acclimatized to 190, 3 or 0.9 m 3 tanks (Phase 1; 1.5 months) before redistributed to Phase 2 for 5 months. Question 1: fish in 190 m 3 tank were redistributed to 0.9 m 3 (190 m 3 ? 0.9 m 3 ), 3 m 3 (190 m 3 ? 3 m 3 ), or 103 m 3 (190 m 3 ? 103 m 3 ) tanks. Question 2: fish in 0.9 m 3 tanks were redistributed to 3 m 3 tanks (0.9 m 3 ? 3 m 3 ), and compared to fish from 190 m 3 tank (190 m 3 ? 3 m 3 ). Question 3: fish were placed directly in 3 m 3 tanks, not moved (3 m 3 ? 3 m 3 ), and compared to reference sea cages. Phase 2 mortality: 190 m 3 ? 0.9 m 3 (46%), 190 m 3 ? 3 m 3 (29%), 190 m 3 ? 103 m 3 (19%), 3 m 3 ? 3 m 3 and 0.9 m 3 ? 3 m 3 (<5%). Most mortality happened shortly after transfer. Our study suggests tank size dependent performance, based on growth and feed intake that increased with tank size. 190 m 3 ? 103 m 3 fish were more active than 190 m 3 ? 0.9 m 3 and 190 m 3 ? 3 m 3 fish. 190 m 3 ? 103 m 3 tanks had lowest relative variance. Previous tank scale history affected survival, since 0.9 m 3 ? 3 m 3 fish showed higher survival than 190 m 3 ? 3 m 3 fish. However, previous scale history did not affect growth rate, feed intake or somatic indexes. Fish performance in 3 m 3 ? 3 m 3 tanks did not differ from the reference sea cages. However, fish in 103 m 3 tanks performed better than reference cages, suggesting potential for improved commercial production. This study demonstrates that management practices can influence fish performance and should be taken into account when designing experiments.

show abstract

Section: Introductionmentioning

confidence: 99%

Tank size and fish management history matters in experimental design

et al. 2016

View full text Add to dashboard Cite

show abstract

“…Bioenergetic models use a variety of methods to estimate dissolved waste. N excretion can be considered proportional to oxygen consumption, 65,86 assimilated energy from protein 43 or ingested N. 40 The same type of approach can be used for P excretion, but this variable is usually estimated from N excretion. 65 The excretion term in standard DEB models is not a single process, as it is in traditional bioenergetic models.…”

Section: Feed Assimilation Egestion and Excretion Of Metabolic Wastesmentioning

confidence: 99%

“…Refs. 27,40,49) performed a sensitivity analysis of parameters, which ranks the most influential ones; for instance, Cuenco et al 27 identified that food-consumption parameters were more influential, and thus critical, than metabolism parameters.…”

Section: Model Uncertaintymentioning

confidence: 99%

“…Uncertainties in model initialisation and parameter values are explored more often.Some of the FSMs reviewed (e.g. Refs 27,40,49). performed a sensitivity analysis of parameters, which ranks the most influential ones; for instance, Cuenco et al27 identified that food-consumption parameters were more influential, and thus critical, than metabolism parameters.Based on the confidence with which parameters were estimated, and their uncertainty, one can obtain a preliminary indication of the potential overall uncertainty in model predictions.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Farm‐scale models in fish aquaculture – An overview of methods and applications

Chary

Brigolin

Callier

2022

Reviews in Aquaculture

View full text Add to dashboard Cite

Models are important tools to address sustainability challenges associated with developing aquaculture at farm, regional and global scales. Farm-scale models (FSMs), which are integrated mathematical models developed to simulate farm operations, can quantify energy, mass or economic input flows and predict a variety of outputs such as fish biomass, waste and by-products. The variety of farming systems, equa-

show abstract

“…Os múltiplos estudos que têm sido realizados para avaliação econômica de projetos e investimentos nesse setor (MACFADYEN et al, 2012;AZEVEDO et al, 2015; EL-SAYED; DICKSON; EL-NAGGAR, 2015; DE BEZERRA et al, 2016) são em geral, específicos, oriundos da área tecnológica para avaliação econômica de melhoramento genético (DOMÍNGUEZ-CASTANEDO et al, 2014) ou para dietas e sistemas de produção de peixes (ANYADIKE;MBAJIORGU;AJAH, 2015;EMERY et al, 2016).…”

Section: Introductionunclassified

Proposta De Análise De Desempenho Financeiro Em Pequenas Empresas Rurais: O Caso Da Piscicultura

et al. 2019

View full text Add to dashboard Cite

Este estudo tem por objetivos propor e avaliar um modelo de gestão financeira para a pequena empresa rural da piscicultura na expectativa de trazer informações para o processo decisório deste setor específico do agronegócio, e que, igualmente, permita comparar o seu desempenho com outras atividades do mercado. Com mais de 5,5 milhões de hectares de água doce, o Brasil é responsável por 0,76% da produção aquícola mundial, sendo que a informalidade da atividade e dos seus processos de decisão é uma realidade para o caso brasileiro, o que restringe uma melhor e maior exploração dos recursos potenciais do país. Os estudos empíricos para este setor concentram-se em avaliações econômicas de projetos específicos, sendo um desafio e até um desconhecimento o potencial de rentabilidade da empresa inserida na aquicultura no Brasil. O caso foi estudado durante seis meses com visitas in loco, observações participantes e análise de documentos. A propriedade está situada no Estado do Mato Grosso do Sul e atua na produção de tilápias (Oreochromis Niloticus), em estruturas de tanque-rede com capacidade nominal de 1.930 ton/ano. O resultado da pesquisa abrange desde uma estrutura metodológica para a identificação, reconhecimento e apuração dos gastos da propriedade a partir dos lotes de produção até a consolidação em uma estrutura de fluxo de caixa e controle de patrimônio. Esta estrutura de informações permite a gestão do orçamento, do caixa e da análise do desempenho por meio de indicadores para a propriedade rural de piscicultura.

show abstract

Aquacultural System Management Tool (AQUASMAT) I: Model development

Cited by 5 publications

References 27 publications

Tank size and fish management history matters in experimental design

Tank size and fish management history matters in experimental design

Farm‐scale models in fish aquaculture – An overview of methods and applications

Proposta De Análise De Desempenho Financeiro Em Pequenas Empresas Rurais: O Caso Da Piscicultura

Contact Info

Product

Resources

About