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Stakeholder-driven modelling the impact of animal profile and market conditions on optimal delivery weight in growing-finishing pig production

Frederik Leen, Alice Van den Broeke, Marijke Aluwe, Ludwig Lauwers UGent, Sam Millet and Jef Van Meensel (2018) AGRICULTURAL SYSTEMS. 162. p.34-45
abstract
Pig delivery weight optimisation (PDWO) has been studied extensively and has resulted in several optimisation models. A previous participatory analysis of the problem has revealed that existing models are too complex and might therefore be under-valorised. Farmers desire a simple but reliable model based on available farm data to learn about the problem. A spreadsheet simulation model was therefore developed based on empirical animal performance models. The present study aims at conceptualising a stakeholder-driven model concerning PDWO that should provide insights into four key questions: I) how do the driving forces behind the optimisation determine the optima, II) what is the dependency of the optimal delivery weight on market conditions, III) how do the opportunity costs due to suboptimal delivery evolve, in addition to the mere optimisation results and IV) what is the effect of differences in animal performance profile, in terms of growth, feed intake and average carcass quality on the optimal delivery results? The results generated by the simulation model generally align with those generated using more sophisticated modelling approaches in previous studies. Our results indicate that the animal's growth and feed intake profile can more importantly affect the location of the optima, the stability of the optima and economic importance of delivery weight optimisation compared to market conditions. Moreover, the effect of market conditions on the optimisation was dependent on the animal profile, which determines the flatness of the payoff curve per pig. The possible flat payoff curves imply that the benefits of accurate PDWO can be limited and that some error margin in decisions on PDWO can be exploited. Moreover, this finding illustrates and corroborates the increased benefit of a shift in technology, i.e. an improved animal performance, compared to striving for the optimum on the production function of an inferior technology. Using this simplified model, farmers can investigate the flatness of their farm-specific payoff curve and the stability of their farm-specific optima. That information may help them to determine the appropriateness of a robust decision-supportive rule about optimal delivery weight on their farm.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
DECISION-MAKING, SWINE, PERFORMANCE, ECONOMICS, GROWTH
journal title
AGRICULTURAL SYSTEMS
Agric. Syst.
volume
162
pages
34 - 45
Web of Science type
Article
Web of Science id
000428822500005
ISSN
0308-521X
1873-2267
DOI
10.1016/j.agsy.2018.01.013
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
8559402
handle
http://hdl.handle.net/1854/LU-8559402
date created
2018-04-19 07:32:29
date last changed
2018-05-18 12:15:31
@article{8559402,
  abstract     = {Pig delivery weight optimisation (PDWO) has been studied extensively and has resulted in several optimisation models. A previous participatory analysis of the problem has revealed that existing models are too complex and might therefore be under-valorised. Farmers desire a simple but reliable model based on available farm data to learn about the problem. A spreadsheet simulation model was therefore developed based on empirical animal performance models. The present study aims at conceptualising a stakeholder-driven model concerning PDWO that should provide insights into four key questions: I) how do the driving forces behind the optimisation determine the optima, II) what is the dependency of the optimal delivery weight on market conditions, III) how do the opportunity costs due to suboptimal delivery evolve, in addition to the mere optimisation results and IV) what is the effect of differences in animal performance profile, in terms of growth, feed intake and average carcass quality on the optimal delivery results? The results generated by the simulation model generally align with those generated using more sophisticated modelling approaches in previous studies. Our results indicate that the animal's growth and feed intake profile can more importantly affect the location of the optima, the stability of the optima and economic importance of delivery weight optimisation compared to market conditions. Moreover, the effect of market conditions on the optimisation was dependent on the animal profile, which determines the flatness of the payoff curve per pig. The possible flat payoff curves imply that the benefits of accurate PDWO can be limited and that some error margin in decisions on PDWO can be exploited. Moreover, this finding illustrates and corroborates the increased benefit of a shift in technology, i.e. an improved animal performance, compared to striving for the optimum on the production function of an inferior technology. Using this simplified model, farmers can investigate the flatness of their farm-specific payoff curve and the stability of their farm-specific optima. That information may help them to determine the appropriateness of a robust decision-supportive rule about optimal delivery weight on their farm.},
  author       = {Leen, Frederik and Van den Broeke, Alice and Aluwe, Marijke and Lauwers, Ludwig and Millet, Sam and Van Meensel, Jef},
  issn         = {0308-521X},
  journal      = {AGRICULTURAL SYSTEMS},
  keyword      = {DECISION-MAKING,SWINE,PERFORMANCE,ECONOMICS,GROWTH},
  language     = {eng},
  pages        = {34--45},
  title        = {Stakeholder-driven modelling the impact of animal profile and market conditions on optimal delivery weight in growing-finishing pig production},
  url          = {http://dx.doi.org/10.1016/j.agsy.2018.01.013},
  volume       = {162},
  year         = {2018},
}

Chicago
Leen, Frederik, Alice Van den Broeke, Marijke Aluwe, Ludwig Lauwers, Sam Millet, and Jef Van Meensel. 2018. “Stakeholder-driven Modelling the Impact of Animal Profile and Market Conditions on Optimal Delivery Weight in Growing-finishing Pig Production.” Agricultural Systems 162: 34–45.
APA
Leen, F., Van den Broeke, A., Aluwe, M., Lauwers, L., Millet, S., & Van Meensel, J. (2018). Stakeholder-driven modelling the impact of animal profile and market conditions on optimal delivery weight in growing-finishing pig production. AGRICULTURAL SYSTEMS, 162, 34–45.
Vancouver
1.
Leen F, Van den Broeke A, Aluwe M, Lauwers L, Millet S, Van Meensel J. Stakeholder-driven modelling the impact of animal profile and market conditions on optimal delivery weight in growing-finishing pig production. AGRICULTURAL SYSTEMS. 2018;162:34–45.
MLA
Leen, Frederik, Alice Van den Broeke, Marijke Aluwe, et al. “Stakeholder-driven Modelling the Impact of Animal Profile and Market Conditions on Optimal Delivery Weight in Growing-finishing Pig Production.” AGRICULTURAL SYSTEMS 162 (2018): 34–45. Print.