Progress towards the development of an integrated management system for broiler chicken production

Frost, A.R.; Parsons, David; Stacey, Kathleen; Robertson, A.P.; Welch, Sean; Filmer, Deon; Fothergill, A.

doi:10.1016/s0168-1699(03)00082-6

Cited by 32 publications

(22 citation statements)

References 8 publications

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“…For example, in poultry (Frost et al, 2003, Stacey et al, 2004, pig (Parsons et al, 2007) and diary cow (Frost et al, 1997) industries, systems for collecting real-time data have been developed for controlling growth, health and reproduction (Frost et al, 1997).…”

Section: Introductionmentioning

confidence: 99%

A baseline method for benchmarking mortality losses in Atlantic salmon (Salmo salar) production

et al. 2011

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On-farm databases provide a large diversity of information regarding fish health and stock performance. Mortality records held in on-farm database are indicators of fish health status and of great interest for studying fish health, such as patterns of diseases. Mortality records from a Scottish Atlantic salmon production database of one company were used to develop a method of benchmarking production losses due to mortality. The records used concerned mortality loss numbers of Atlantic salmon in the seawater phase. The median, 10th and 90th percentiles of mortality were calculated for each week of production from 88 production recorded cycles. These values were used to delimit the range of a standard mortality curve through the production cycle. The effects of the different mortality losses from each cycle on production in terms of costs and time consumed were also described. Likewise, substantial interannual variation in mortality time series is described as well as the mortality variation associated with three diseases (Pancreas Disease, Cardiomyopathy Syndrome and Infectious Pancreatic Necrosis).

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Section: Introductionmentioning

confidence: 99%

A baseline method for benchmarking mortality losses in Atlantic salmon (Salmo salar) production

et al. 2011

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“…The modern process control techniques in livestock production have been extended in an integrated management system in which not only growth but pollutant emissions and heat production could be controlled (Aerts et al, 2003c;Frost et al, 2003). Being highly advantageous in favor of broiler welfare, this paper aimed to test the growth control strategy in livestock production developed by Aerts et al in real-time farming conditions using several different target weight trajectories.…”

Section: Introductionmentioning

confidence: 99%

Effects of Different Target Trajectories on the Broiler Performance in Growth Control

et al. 2008

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Applying altered trajectories in broiler growth control with early feed restriction and a consequent accelerated catch-up growth has been approved to result in a better feed conversion ratio and a reduction in mortality. The properties of the growth trajectory and the resulting time and duration of the feed restriction can be crucial for animal welfare and production performance. The objective of this work was to test broiler growth control strategy online in field conditions using different target trajectories. Several experiments were conducted, and the best target trajectory has been proven to result in an end weight of 2,616 g and feed conversion ratio of 1.54 for Ross-type birds and an end weight of 2,472 g and a feed conversion ratio of 1.67 for Cobb-type birds.

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“…An alternative approach to the modelling problem was taken by Frost and colleagues (Frost et al 2003;Stacey et al 2004). They judged that a detailed mechanistic model would be too slow for practical implementation in the controller, and instead developed and used a semi-mechanistic growth model predicting broiler growth from feed intake and feed composition (lysine, protein, organic matter, lipid and energy content, and nutrient digestibility) each day.…”

Section: Control Engineering Approaches To Biological Systems (A) Bacmentioning

confidence: 99%

An engineering approach to modelling, decision support and control for sustainable systems

Day

Audsley

Frost

2007

Phil. Trans. R. Soc. B

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Engineering research and development contributes to the advance of sustainable agriculture both through innovative methods to manage and control processes, and through quantitative understanding of the operation of practical agricultural systems using decision models. This paper describes how an engineering approach, drawing on mathematical models of systems and processes, contributes new methods that support decision making at all levels from strategy and planning to tactics and real-time control. The ability to describe the system or process by a simple and robust mathematical model is critical, and the outputs range from guidance to policy makers on strategic decisions relating to land use, through intelligent decision support to farmers and on to real-time engineering control of specific processes. Precision in decision making leads to decreased use of inputs, less environmental emissions and enhanced profitability-all essential to sustainable systems.

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Progress towards the development of an integrated management system for broiler chicken production

Cited by 32 publications

References 8 publications

A baseline method for benchmarking mortality losses in Atlantic salmon (Salmo salar) production

A baseline method for benchmarking mortality losses in Atlantic salmon (Salmo salar) production

Effects of Different Target Trajectories on the Broiler Performance in Growth Control

An engineering approach to modelling, decision support and control for sustainable systems

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