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

Chary, Killian; Brigolin, Daniele; Callier, Myriam D.

doi:10.1111/raq.12695

Cited by 18 publications

(6 citation statements)

References 226 publications

(583 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In aquaculture research, however, mean trait values continue to be the primary currency by which studies measure and compare growth performance and treatment effects. Even mechanistic frameworks simulating aquaculture operations appear to preferentially report parameter and variable means only (e.g., Chary et al, 2022; Føre et al, 2016; Zhou et al, 2018). As indicated by the proportions of the treatment cohorts that grew to the respective mean body mass or larger, in studies where the body mass distributions become skewed or bimodal over time, there is a risk that measures of central tendency, like the mean, mask important characteristics of the data.…”

Section: Discussionmentioning

confidence: 99%

“…A well‐informed feeding regimen can increase the likelihood of optimum growth, reduce costs, and decrease environmental impacts from waste outputs (Davidson et al, 2016). Implementing such a feeding regimen requires information on environmental conditions and fish cohort properties, such as total biomass, growth rates, feed efficiency, and body size distribution (Chary et al, 2022; Føre et al, 2018; Lugert et al, 2016). Despite extensive monitoring and control opportunities, estimating these cohort properties poses challenges.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modeling the effects of ration on individual growth of Oncorhynchus tshawytscha under controlled conditions

Johne

Carter

Wotherspoon

et al. 2023

Journal of Fish Biology

View full text Add to dashboard Cite

Fed aquaculture is one of the fastest‐growing and most valuable food production industries in the world. The efficiency with which farmed fish convert feed into biomass influences both environmental impact and economic revenue. Salmonid species, such as king salmon (Oncorhynchus tshawytscha), exhibit high levels of plasticity in vital rates such as feed intake and growth rates. Accurate estimations of individual variability in vital rates are important for production management. The use of mean trait values to evaluate feeding and growth performance can mask individual‐level differences that potentially contribute to inefficiencies. Here, the authors apply a cohort integral projection model (IPM) framework to investigate individual variation in growth performance of 1625 individually tagged king salmon fed one of three distinct rations of 60%, 80%, and 100% satiation and tracked over a duration of 276 days. To capture the observed sigmoidal growth of individuals, they compared a nonlinear mixed‐effects (logistic) model to a linear model used within the IPM framework. Ration significantly influenced several aspects of growth, both at the individual and at the cohort level. Mean final body mass and mean growth rate increased with ration; however, variance in body mass and feed intake also increased significantly over time. Trends in mean body mass and individual body mass variation were captured by both logistic and linear models, suggesting the linear model to be suitable for use in the IPM. The authors also observed that higher rations resulted in a decreasing proportion of individuals reaching the cohort's mean body mass or larger by the end of the experiment. This suggests that, in the present experiment, feeding to satiation did not produce the desired effects of efficient, fast, and uniform growth in juvenile king salmon. Although monitoring individuals through time is challenging in commercial aquaculture settings, recent technological advances combined with an IPM approach could provide new scope for tracking growth performance in experimental and farmed populations. Using the IPM framework might allow the exploration of other size‐dependent processes affecting vital rate functions, such as competition and mortality.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling the effects of ration on individual growth of Oncorhynchus tshawytscha under controlled conditions

Johne

Carter

Wotherspoon

et al. 2023

Journal of Fish Biology

View full text Add to dashboard Cite

show abstract

“…In well‐managed marine systems that feed complete pellets, ca. 1%–6% of the distributed feed remains uneaten, 114 but much higher losses have been observed on some farms, 115 depending on feeding systems and practices, feed types, and hydrodynamic conditions. Overfeeding should, and can, be avoided with better record keeping and training of the farmers; in contrast, decreasing metabolic waste is less straightforward.…”

Section: Fourth Principle: Using and Recycling Byproducts Of Agro‐ An...mentioning

confidence: 99%

Transforming sustainable aquaculture by applying circularity principles

Chary,

van Riel,

Muscat

et al. 2023

Reviews in Aquaculture

Self Cite

View full text Add to dashboard Cite

A circular economy is considered one way to reduce environmental impacts of human activities, by more efficient use of resources and recovery, resulting in less waste and emissions compared to linear take‐make‐dispose systems. Muscat et al. developed five ecological principles to guide biomass use towards a circular economy. A few studies have demonstrated environmental benefits of applying these principles to land‐based food systems, but to date, these principles have not been explored in aquaculture. The current study expands on these principles and provides a narrative review to (i) translate them to aquaculture, while identifying implications for the main species and production systems, and (ii) identify the main pathways to make aquaculture more circular. We show that the underlying concepts of the ‘safeguard’, ‘entropy’, and ‘recycle’ principles have been well researched and sometimes well implemented. In contrast, the ‘avoid’ and ‘prioritise’ principles have been explored much less; doing so would provide an opportunity to decrease environmental impacts of aquaculture at the food‐system level. One example is prioritising the production of species that contribute to food and nutrition security, have low environmental impacts and thinking at wider food system scale to avoid feed‐food competition in aquaculture. We identified six priorities that could make aquaculture more circular: (i) increase production and demand for the most essential species, (ii) decrease food loss and waste at farm and post‐harvest stages, (iii) support nutrient recycling practices at multiple scales, (iv) adapt aquafeed formulations, (v) inform consumers about benefits of species of low trophic levels and other environmentally friendly aquatic foods, and (vi) address urgent research gaps.

show abstract

“…The initial steps in this direction have already been taken. For example, there exist a wide variety of farm‐scale models that quantify and predict energy, biomass, feed, waste and economic value in aquaculture (Chary et al., 2022). The design principles for AI‐based digital twin for fish farming are under development (Lan et al., 2023; Ubina et al., 2023).…”

Section: Introduction: the Need For A Digital Twin Of Atlantic Salmonmentioning

confidence: 99%

Premises for a digital twin of the Atlantic salmon in its world: Agency, robustness, subjectivity and prediction

Budaev,

Dumitru,

Enberg

et al. 2024

Aquaculture Fish & Fisheries

View full text Add to dashboard Cite

Aquaculture of Atlantic salmon Salmo salar is in transition to precision fish farming and digitalization. As it is easier, cheaper and safer to study a digital replica than the system itself, a model of the fish can potentially improve monitoring and prediction of facilities and operations and replace live fish in many what‐if experiments. Regulators, consumers and voters also want insight into how it is like to be a salmon in aquaculture. However, such information is credible only if natural physiology and behaviour of the living fish is adequately represented. To be able to predict salmon behaviour in unfamiliar, confusing and stressful situations, the modeller must aim for a sufficiently realistic behavioural model based on the animal's proximate robustness mechanisms. We review the knowledge status and algorithms for how evolution has formed fish to control decisions and set priorities for behaviour and ontogeny. Teleost body control is through genes, hormones, nerves, muscles, sensing, cognition and behaviour, the latter being agentic, predictive and subjective, also in a man‐made environment. These are the challenges when constructing the digital salmon. This perspective is also useful for modelling other domesticated and wild animals in Anthropocene environments.

show abstract

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

Cited by 18 publications

References 226 publications

Modeling the effects of ration on individual growth of Oncorhynchus tshawytscha under controlled conditions

Modeling the effects of ration on individual growth of Oncorhynchus tshawytscha under controlled conditions

Transforming sustainable aquaculture by applying circularity principles

Premises for a digital twin of the Atlantic salmon in its world: Agency, robustness, subjectivity and prediction

Contact Info

Product

Resources

About