dc.contributor.author
Villalba Mata, Daniel
dc.contributor.author
Díez-Unquera, B.
dc.contributor.author
Carrascal, A.
dc.contributor.author
Bernués, A.
dc.contributor.author
Ruiz, R.
dc.date.accessioned
2024-12-05T21:35:22Z
dc.date.available
2024-12-05T21:35:22Z
dc.date.issued
2019-12-11T13:27:09Z
dc.date.issued
2021-02-25T23:29:58Z
dc.date.issued
2019-02-25
dc.date.issued
2019-12-11T13:27:12Z
dc.identifier
https://doi.org/10.1016/j.agsy.2019.01.011
dc.identifier
http://hdl.handle.net/10459.1/67705
dc.identifier.uri
http://hdl.handle.net/10459.1/67705
dc.description.abstract
A decision support tool for sheep farming systems (PASTOR-DSS) was developed to investigate trade-offs between economic and environmental objectives on Spanish dairy sheep farms. The tool combines a hierarchical stochastic simulation model at three levels with a multi-objective optimisation procedure based on genetic algorithms. The first level of simulation includes rumen, reproduction and nutrient balance submodels. These three submodels are integrated into an animal model, which constitutes the second level. The third level is the farm, which includes the flock, the feeding and reproductive management, the availability of feeding resources, and the farm economics. The multi-objective genetic algorithm applies to the farm level. The tool was validated for the different levels of simulation, with outputs having an acceptable level of accuracy and representing correctly the links between feeding and reproduction. The tool was used to optimise the Latxa breed farming systems of the Basque Country (Spain). Two farm types were simulated: a COAST farm located in low-altitude Atlantic conditions and longer grazing period, and the INLAND farm located in mountain areas with a shorter grazing period. The optimisation provided a set of optimal solutions with different economic and environmental (N excretion) performances. The optimal solutions increased the financial margin over feed costs in both farms (+24% and+22% for COAST and INLAND, respectively). The final space of solutions showed a clear trade-off between the economic and environmental performance (nitrogen excretion). The difference in the financial margin over feed costs between the solutions could be interpreted as the opportunity cost of greening in policy design, i.e., the payment that farmers should receive to change their farming methods to reduce nitrogen pollution.
dc.description.abstract
Funding for this research was provided by INIA (RTA2010-00057, RTA2011-01332), as well as by the Department of Economic Development and Competitiveness of the Basque Government.
dc.format
application/pdf
dc.relation
Versió postprint del document publicat a: https://doi.org/10.1016/j.agsy.2019.01.011
dc.relation
Agricultural Systems, 2019, vol. 173, p. 107-118
dc.rights
cc-by-nc-nd (c) Elsevier, 2019
dc.rights
info:eu-repo/semantics/openAccess
dc.rights
http://creativecommons.org/licenses/by-nc-nd/3.0/es
dc.subject
Bio-economic modelling
dc.subject
Genetic algorithm
dc.subject
Optimal solutions
dc.subject
Trade-off analysis
dc.title
Multi-objective simulation and optimisation of dairy sheep farms: Exploring trade-offs between economic and environmental outcomes
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/acceptedVersion