Prototyping and farm system modelling—Partners on the road towards more sustainable farm systems?

Sterk, B.; Ittersum, M.K. van; Leeuwis, C.; Wijnands, F.G.

doi:10.1016/j.eja.2006.12.006

Cited by 37 publications

(12 citation statements)

References 26 publications

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“…In this study, we consider both types of interactions but without distinguishing them given our aim to focus on better understanding the direct and indirect effects of crop-livestock organization. To analyze those effects, a model-based exploration methodology is used to permit simulating contrasted farming practices while keeping a constant production context (Rossing et al, 1997;Sterk et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Direct and indirect impacts of crop–livestock organization on mixed crop–livestock systems sustainability: a model-based study

Sneessens

Veysset

Benoît

et al. 2016

Animal

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Crop-livestock production is claimed more sustainable than specialized production systems. However, the presence of controversial studies suggests that there must be conditions of mixing crop and livestock productions to allow for higher sustainable performances. Whereas previous studies focused on the impact of crop-livestock interactions on performances, we posit here that crop-livestock organization is a key determinant of farming system sustainability. Crop-livestock organization refers to the percentage of the agricultural area that is dedicated to each production. Our objective is to investigate if crop-livestock organization has both a direct and an indirect impact on mixed crop-livestock (MC-L) sustainability. In that objective, we build a whole-farm model parametrized on representative French sheep and crop farming systems in plain areas (Vienne, France). This model permits simulating contrasted MC-L systems and their subsequent sustainability through the following indicators of performance: farm income, production, N balance, greenhouse gas (GHG) emissions (/kg product) and MJ consumption (/kg product). Two MC-L systems were simulated with contrasted crop-livestock organizations (MC 20 -L 80 : 20% of crops; MC 80 -L 20 : 80% of crops). A first scenario -constraining no crop-livestock interactions in both MC-L systems -permits highlighting that crop-livestock organization has a significant direct impact on performances that implies trade-offs between objectives of sustainability. Indeed, the MC 80 -L 20 system is showing higher performances for farm income (+44%), livestock production (+18%) and crop GHG emissions (−14%) whereas the MC 20 -L 80 system has a better N balance (−53%) and a lower livestock MJ consumption (−9%). A second scenario -allowing for crop-livestock interactions in both MC 20 -L 80 and MC 80 -L 20 systemsstated that crop-livestock organization has a significant indirect impact on performances. Indeed, even if crop-livestock interactions permit improving performances, crop-livestock organization influences the capacity of MC-L systems to benefit from crop-livestock interactions. As a consequence, we observed a decreasing performance trade-off between MC-L systems for farm income (−4%) and crop GHG emissions (−10%) whereas the gap increases for nitrogen balance (+23%), livestock production (+6%) -MJ consumption (+16%) -GHG emissions (+5%) and crop MJ consumption (+5%). However, the indirect impact of crop-livestock organization doesn't reverse the trend of trade-offs between objectives of sustainability determined by the direct impact of crop-livestock organization. As a conclusion, crop-livestock organization is a key factor that has to be taken into account when studying the sustainability of mixed crop-livestock systems.Keywords: livestock, organization, integration, farm modeling, sheep ImplicationsBenefits that mixed crop-livestock systems take over specialized systems are controversial. Whereas previous studies mainly focused on the effect of crop-livestock interactions, we high...

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Section: Introductionmentioning

confidence: 99%

Direct and indirect impacts of crop–livestock organization on mixed crop–livestock systems sustainability: a model-based study

Sneessens

Veysset

Benoît

et al. 2016

Animal

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“…The model-based design cannot and does not aim to replace experimentation but, instead, to facilitate the choice of the most promising production systems (Sterk et al 2007). The candidate systems proposed by this approach should be tested against real conditions, experimented, and, if necessary, adjusted before being recommended to a few testers, re-adjusted if necessary and then evaluated within wider networks.…”

Section: Choice and Disseminationmentioning

confidence: 98%

Model-based design of integrated production systems: a review

Ould-Sidi¹,

Lescourret²

2011

Agronomy Sust. Developm.

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Pest resistance and water pollution are major issues caused by the excessive use of pesticides in intensive agriculture. The concept of integrated production system (IPS) has been thus designed to solve those issues and also to meet the need for better food quality and production. Methodologies such as agronomic diagnosis-based design, prototyping, and model-based design have been developed.Here we review the model-based design of IPS. We identify tools for the development of comprehensive models. Once comprehensive models have been developed, model-based design of IPS can be formulated as an optimization problem to be solved using different approaches. Thus, we review the choice of corresponding criteria, constraints, and mathematical formulations found in the literature. We analyze successful model-based design in transportation and drug development. We learn from these areas to overcome the inherent difficulties involved in the modelbased design of IPS. We recommend the following major points: IPS model-based design should use integrative modeling platforms, process-oriented modeling, and object-oriented techniques to improve the genericity, modularity, reuse of crop models, and the data sharing. The spatial dimension of IPS has to be accounted for by making crop models spatially explicit. The design evaluation criteria have to be standardized and carefully chosen by promoting stakeholders involvement. The design of IPS should be formulated as a multiobjective optimization problem, for which non-aggregative approaches should be preferred. Finally, it is necessary to establish a true dialogue between prototyping and model-based design practitioners in order to test, and if necessary to improve, the proposed systems.

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“…Le calculateur Altrop est un outil qui permet au chercheur ou au conseiller en élevage d'interagir avec le producteur autour d'une représentation simplifiée de la gestion alimentaire d'un lot de bovins (Sterk et al, 2007 ;Dedieu et al, 2011 ;Le Gal et al, 2013), de stimuler le processus de réflexion et d'apprentissage concernant les techniques d'alimentation des animaux (Bos et al, 2009 ;Martin et al, 2013). Le calculateur offre la possibilité de tester ex-ante l'équilibre alimentaire du plan de rationnement d'un lot d'animaux, mais aussi de l'ajuster pendant la phase de mise en oeuvre du projet (Le Gal et al, 2011aGal et al, , 2011b, ce qui peut être utile pour adapter en temps réel l'offre alimentaire aux besoins des animaux et éviter d'éventuels déficits graves, ou parfois des gaspillages d'aliments coûteux.…”

Section: Altrop Favorise La Réflexion Et L'apprentissage Pour Maîtrisunclassified

Altrop, un calculateur des rations des bovins pour l’accompagnement des projets d’élevage familiaux

Delma¹,

Bougouma-Yameogo²,

Nacro³

et al. 2016

Int. J. Bio. Chem. Sci

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Cette étude a été soutenue grâce au financement du projet Options d'intensification durable (AusAid, Coraf) et par une subvention de doctorat Aird/Cirad. RÉSUMÉ Au Burkina Faso, les producteurs ont des difficultés à satisfaire les besoins alimentaires de leurs bovins (boeufs de trait, vaches laitières, bovins à l'engraissement) en fonction de leur niveau de production et à certaines saisons. L'étude avait pour but de présenter un outil permettant de mieux gérer l'alimentation de lots de bovins, en prenant en compte la logique des pratiques d'alimentation des producteurs, tout en intégrant les références zootechniques permettant d'ajuster l'offre aux besoins alimentaires des animaux. Altrop est un calculateur permettant d'ajuster l'offre alimentaire proposée à un lot de bovins affectés à une production particulière aux besoins de ces derniers. Il permet de simuler des scénarios d'amélioration des stratégies d'alimentation, de voir rapidement les effets sur l'ajustement de l'offre aux besoins, et de calculer les stocks de fourrages et d'aliments nécessaires à la réalisation de ces scénarios. En réduisant les déséquilibres des pratiques d'alimentation, souvent observées chez les producteurs, Altrop permet d'améliorer la rentabilité des projets d'élevage familiaux.

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Prototyping and farm system modelling—Partners on the road towards more sustainable farm systems?

Cited by 37 publications

References 26 publications

Direct and indirect impacts of crop–livestock organization on mixed crop–livestock systems sustainability: a model-based study

Direct and indirect impacts of crop–livestock organization on mixed crop–livestock systems sustainability: a model-based study

Model-based design of integrated production systems: a review

Altrop, un calculateur des rations des bovins pour l’accompagnement des projets d’élevage familiaux

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