New standards in stochastic simulations of dairy cow disease modelling: Bio-economic dynamic optimization for rational health management decision-making

Ferchiou, Ahmed; Lhermie, Guillaume; Raboisson, Didier

doi:10.1016/j.agsy.2021.103249

Cited by 8 publications

(14 citation statements)

References 53 publications

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“…For a dairy farmer, the main drivers for farm AMU are disease occurrence and the economic and epidemiological benefits of antimicrobial treatments, which are directly related to the farmer’s decision-making regarding the farm’s technical and sanitary management [ 29 , 30 ]. The bioeconomic modeling approach presented in this study evaluated a broad range of farmer management strategies for udder health and treatments at dry-off [ 12 ], and a marginal abatement evaluation of AMU was used to evaluate the impacts of AM use reduction on farmer income and resource allocation. The combination of different mastitis management strategies is associated with a wide range of relative risks of mastitis occurrence and, therefore, different levels of AMU.…”

Section: Discussionmentioning

confidence: 99%

“…The bioeconomic sequential optimization model DHS© was used. An extensive application of DHS© has been reported previously [ 12 ] and a description is reported in Supplemental Data . This model consists of a biological simulation model coupled to an economic optimization model.…”

Section: Methodsmentioning

confidence: 99%

“…The recursive mean–variance optimization framework economic model dynamically represented farmers’ input allocation decisions while maximizing utility under constraints [ 12 ]. The two constraints used for optimization in the present trial were the workload and AMU [ 12 ]. The output of the model is the farmer’s utility and expected income under different combinations of daily activity constraints.…”

Section: Methodsmentioning

confidence: 99%

“…This situation calls for integrative approaches to mastitis management, including the consideration of mastitis economics that include farmer behaviors and daily constraints. Unfortunately, the bioeconomic simulation models commonly reported in the literature are often limited to monetary problem solving and do not consider resource allocation decisions, especially multicriteria decisions, although these decisions are often made by farmers [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

The Marginal Abatement Cost of Antimicrobials for Dairy Cow Mastitis: A Bioeconomic Optimization Perspective

Ferchiou

Ndiaye

Mandour

et al. 2023

Veterinary Sciences

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Maintaining udder health is the primary indication for antimicrobial use (AMU) in dairy production, and modulating this application is a key factor in decreasing AMU. Defining the optimal AMU and the associated practical rules is challenging since AMU interacts with many parameters. To define the trade-offs between decreased AMU, labor and economic performance, the bioeconomic stochastic simulation model DairyHealthSim (DHS)© was applied to dairy cow mastitis management and coupled to a mean variance optimization model and marginal abatement cost curve (MACC) analysis. The scenarios included three antimicrobial (AM) treatment strategies at dry-off, five types of general barn hygiene practices, five milking practices focused on parlor hygiene levels and three milk withdrawal strategies. The first part of economic results showed similar economic performances for the blanked dry-off strategy and selective strategy but demonstrated the trade-off between AMU reduction and farmers’ workload. The second part of the results demonstrated the optimal value of the animal level of exposure to AM (ALEA). The MACC analysis showed that reducing ALEA below 1.5 was associated with a EUR 10,000 loss per unit of ALEA on average for the farmer. The results call for more integrative farm decision processes and bioeconomic reasoning to prompt efficient public interventions.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Marginal Abatement Cost of Antimicrobials for Dairy Cow Mastitis: A Bioeconomic Optimization Perspective

Ferchiou

Ndiaye

Mandour

et al. 2023

Veterinary Sciences

Self Cite

View full text Add to dashboard Cite

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“…In this study, the costs of two such managerial strategies were assessed using partial budget analysis, a planning and decision-making tool that allows the evaluation of whether a new strategy in farm management or production practices will change the net benefit by considering the effects on net cost change and net benefit change (14-16). Stochastic partial budget analysis, where the range of values and the distribution of a selected indicator are considered, has become a popular tool for analyzing the economic effects of animal disease control (17,18) and for decision-making to improve animal welfare (19). Measuring and estimating animal health and welfare in terms of economics is complex due to the multifactorial background and the limitations in the assumptions needed (20).…”

Section: Introductionmentioning

confidence: 99%

Stochastic partial budget analysis of strategies to reduce the prevalence of lung lesions in finishing pigs at slaughter

et al. 2022

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Ante- and post-mortem inspections of food-producing animals at slaughter are mandatory activities carried out in many countries to ensure public health, animal health, and meat quality. In finishing pigs, lung lesions are the most frequent defects found in meat inspections. It is possible to implement managerial strategies on-farm to reduce the occurrence and spread of respiratory diseases, but such strategies come with additional costs that could impede implementation. This study assessed the economic impact of two strategies aimed at reducing the prevalence of lung lesions in finishing pigs at slaughter by improving the health conditions of the animals during the production cycle. First, a farrow-to-finish pig farm with 355 sows was modeled based on the current standard practice for finishing pig production in Sweden, using economic data, meat inspection data and biological variables from the literature and expert opinions. A partial budget analysis was then performed in which the baseline farm was compared with two hypothetical strategies aimed at reducing the occurrence and spread of respiratory diseases during pig production: (S1) avoiding mixing of litters after weaning and (S2) keeping purchased pregnant gilts separated from sows during gestation, farrowing and lactation. Both these strategies intended to reduce the occurrence of respiratory disease in finishing pigs at slaughter gave an average gain in annual net income (33,805 SEK in S1 and 173,160 SEK in S2, equal to 3,146€ and 16,113€, respectively, at the time of analysis), indicating that both were economically sustainable under the assumed conditions. The impact analysis of the two strategies revealed that the reduced prevalence of lung lesions when adopting one of the strategies was the most influential factor in net benefit change on the farm. Overall, the results suggest that with the increasing prevalence of lung lesions in Swedish pig production (as also observed worldwide in recent years), adopting an effective strategy to decrease respiratory infections will become more relevant and economically beneficial.

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Recent advances in decision support for beef and dairy farming: modeling approaches and opportunities

Bang

Guajardo

Hansen

2023

Int Trans Operational Res

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This paper surveys recent literature on decision support for beef and dairy farming, covering 110 articles published between 2016 and 2022. We classify these articles based on the type of farm, country of application, objectives and decisions, model scope, and methodology. The paper provides guidance for future research efforts by discussing the choice between whole farm and intrafarm modeling, the choice between optimization and simulation, and how to leverage existing modeling frameworks. Additionally, we identify opportunities for future research and discuss possibilities for increasing the adoption of decision‐support tools in practice by farmers and industry advisors.

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New standards in stochastic simulations of dairy cow disease modelling: Bio-economic dynamic optimization for rational health management decision-making

Cited by 8 publications

References 53 publications

The Marginal Abatement Cost of Antimicrobials for Dairy Cow Mastitis: A Bioeconomic Optimization Perspective

The Marginal Abatement Cost of Antimicrobials for Dairy Cow Mastitis: A Bioeconomic Optimization Perspective

Stochastic partial budget analysis of strategies to reduce the prevalence of lung lesions in finishing pigs at slaughter

Recent advances in decision support for beef and dairy farming: modeling approaches and opportunities

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