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SALADPLAN: a model of the decision-making process in lettuce and endive cropping

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Abstract

Market gardeners are facing new environmental, commercial and safety requirements and regulations that weigh heavily on their crop planting and management decisions. Producing high-quality products and simultaneously reducing the use of chemical products needs change in the multi-field planning of crops. In order to identify which cropping practice may be altered depending on each farm’s characteristics, we built a rule-based model that represents how market gardeners plan cropping cycles of lettuce and endive, here denoted as salad vegetables, on a farm scale. The model is adapted to the specificities of salad vegetable crops in the Mediterranean region, in particular the combination of several cycles per year and of open field and sheltered crops. The output variables are the developed areas allocated to the different salad types and the range of the harvest dates, which are two key factors for commercialisation. The model is based on identifying the successive decision steps of growers when building their farming systems; descriptive variables are the effective surface area and period for salad cultivation, the number of salad cycles per year, the developed surface area of each salad type and the dates of harvest. The decision-making rules leading to each descriptive variable are based on the agronomic characteristics of soil, climate and crops, farmers’ strategic objectives and organisation of farm resources. The cropping decisions were recorded in 38 farms in the large market-gardening region of Languedoc-Roussillon. In the sample, the number of salad types cultivated per farm varied from 1 to 8 and the harvesting period from 3 to 7 months. Our results demonstrate that the model can explain a substantial part of this variability, 26 and 28 farms among 38, respectively, being correctly classified by the model for the two variables. The original result of this work is to enhance the generality of a similar framework built earlier for arable cropping systems. From a practical point of view, this model can be used to determine the leeway available to the farmers for the introduction of technical change in salad cropping. It could therefore be used by agricultural advisors to plan salad crops either for individual farms or on the scale of a marketing structure.

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References

  • Agreste (2001) Recensement agricole fruits et légumes de Pyrénées-Orientales, octobre 2001.

  • Aubry C. (2000) Une modélisation de la gestion de production dans l’exploitation agricole, Revue française de gestion, July–August, pp. 34–46.

  • Aubry C., Paillat J.M., Guerrin F. (2002) Modélisation conceptuelle de la gestion des matières organiques issues des élevages dans les exploitations agricoles. L’exemple de l’Ile de la Réunion, in: Actes du séminaire “Modélisation des flux de biomasse et des transferts de fertilité”, 19–22 June 2002, Montpellier, Cirad.

  • Aubry C., Papy F., Capillon A. (1998) Modelling decision-making processes for annual crop management, Agr. Syst. 56, 45–65.

    Article  Google Scholar 

  • Bellon S., Bertuzzi P., Musset J., Vannier S., Mirambeau C., Laques A.E., Derioz P. (1999) Nitrate pollution of ground waters in a small Mediterranean region, in: Rural and farming systems analyses, environmental perspectives, in: Doppler W., Koutsouris A. (Eds.), Margraf Verlag, proceedings of the 3rd European symposium of AFSRE, Hohenheim, Germany, 25–27/03/1998.

  • Beliard E. (2003) Maladies et ravageurs de la laitue et chicorée à salade en agriculture biologique, Fiche technique, ITAB, Paris.

    Google Scholar 

  • Blancard D., Lot H., Maisonneuve B. (2003) Maladies des salades, identifier, connaître et maîtriser, INRA Ed., Paris, 375 p.

    Google Scholar 

  • Bruno J.F., Papy F. (1992) Mieux gérer la sole de laitue dans la vallée de la Seine, Cahiers Agric. 1, 95–100.

    Google Scholar 

  • Carberry P.S., Hochman Z., McCown R.L., Dalgliesh N.P., Foale M.A., Poulton P.L., Hargreaves J.N.G., Hargreaves D.M.G., Cawthray S., Hillcoat N., Robertson M.J. (2002) The FARMSCAPE approach to decision support: farmers’, advisers’, researchers’ monitoring, simulation, communication and performance evaluation, Agr. Syst. 74, 141–177.

    Article  Google Scholar 

  • Cerf M. (1996) Approche cognitive de pratiques agricoles: intérêts et limites pour les agronomes, Natures, Sciences et Sociétés 4, 327–340

    Google Scholar 

  • Chatelin M.H, Mousset J. (1997) Decision support for work organisation and choice of equipment, in: Ten-Berge H.F., Stein A. (Eds.), Model based decision support in agriculture, ABDLO, Research Institute for Agrobiology and Soil Fertility, Wageningen, NLD, pp. 51–64.

    Google Scholar 

  • Chatelin M.H., Aubry C., Poussin J.C., Meynard J.M., Masse J., Verjux N., Gate P., Bris X.L. (2005) DeciBle, a software package for wheat crop management simulation, Agr. Syst. 83, 77–99.

    Article  Google Scholar 

  • Chaux C., Foury C. (1994) Productions légumières. T.2, Légumes feuilles, tiges, fleurs, racines, bulbes, Agriculture d’aujourd’hui, Sciences Techniques Applications, Lavoisier, Paris, France.

    Google Scholar 

  • de Tourdonnet S. (1998) Maîtrise de la qualité et de la production nitrique en culture de laitue sous abri plastique: diagnostic et modélisation des effets des systèmes de culture, Thesis INAPG, Paris, 192 p.

    Google Scholar 

  • Dogliotti S., Rossing W.A.H., van Ittersum M.K. (2003) ROTAT, a tool for systematically generating crop rotations, Eur. J. Agron. 19, 239–250.

    Article  Google Scholar 

  • Dounias I., Aubry C., Capillon A. (2002) Decision-making processes for crop management on African farms. Modelling from a case study of cotton crops in northern Cameroon, Agr. Syst. 73, 233–260.

    Article  Google Scholar 

  • El-Nazer T., McCarl B.A. (1986) The choice of crop rotation: a modelling approach and case study, Am. J. Agr. Eco. 68, 127–136

    Article  Google Scholar 

  • Goisque M.J. (1994) Calendriers de plantation, Salade haute définition, Cahier hors-série Fruits et Légumes, Echo des MIN, 44–47.

  • Jones J.W., Hoogenboom G., Porter C.H., Boote K.J., Batchelor L., Hunt L.A., Wilkens P.W., Singh U., Gisjman A.J., Ritchie J.T. (2003) The DSSAT cropping system model, Eur. J. Agron. 18, 235–265.

    Article  Google Scholar 

  • Keating B.A., Carberry P.S., Hammer G.L., Probert M.E., Robertson M.J., Holzworth D., Huth N.I., Hargreaves J.N.G., Meinke H., Hochman Z., McLean G., Verburg K., Snow V., Dimes J.P., Silburn M., Wang E., Brown S., Bristow K.L., Asseng S., Chapman S., McCown R.L., Freebairn D.M., Smith C.J. (2003) An overview of APSIM, a model designed for farming systems simulation. Modelling cropping systems: science, software and applications. Second special issue with selected papers based on the 2nd International Symposium on Modelling Cropping Systems, Florence, Italy, 16–18 July, 2001, Eur. J. Agron. 18, 267–288

    Article  Google Scholar 

  • Lagier J. (1994) Laitues sous abris plastiques; maîtrise des conditions climatiques, Salade haute définition 1994, 60–65.

    Google Scholar 

  • Le Bail M. (2004) A design for a local crop supply system as a quality management territory, in: Jacobsen S.E. et al. (Eds.), European agriculture in a global context, European Society of Agronomy, Copenhaguen, Denmark, pp. 527–528.

    Google Scholar 

  • Leroy P., Balas B., Deumier J.M., Jacquin C., Plauborg F. (1996) Water management at farm level, in: The management of limited resources in water. Their agronomic consequences, Final report of EU CAMAR 8001CT91-0109 project, pp. 89–151.

  • Maxime F., Mollet J.M., Papy F. (1995) Aide au raisonnement de l’assolement en grande culture, Cahiers Agric. 4, 351–362.

    Google Scholar 

  • Navarrete M., Le Bail M., Papy F., Bressoud F., Tordjman S. (2006) Combining leeway on farm and supply basin scales to promote technical innovations in lettuce production, Agron. Sustain. Dev. 26, 77–87.

    Article  Google Scholar 

  • Nesme T., Lescourret F., Bellon S., Plenet D., Habib R. (2003) Relevance of orchard design issuing from growers’ planting choices to study fruit tree cropping systems, Agronomie 23, 651–660.

    Article  Google Scholar 

  • Oniflhor, Ctifl, Fnpl (2000) Observatoire des exploitations légumières, Paris.

  • Papy F., Attonaty J.M., Laporte C., Soler L.-G. (1988) Work organisation simulation as a basis for farm management advice, Agr. Syst. 27, 295–314.

    Article  Google Scholar 

  • Paul V.H., Sultana C., Jouan B., Fitt B.D.L. (1991) Strategies for control of diseases on linseed and fibre flax in Germany, France and England, Aspects Appl. Biol. 28, 65–70.

    Google Scholar 

  • Rossing W.A.H., Jansma J.E., De Ruijter F.J., Schans J. (1997) Operationalizing sustainability: exploring options for environmentally friendly flower bulb production systems, Eur. J. Plant Pathol. 103, 217–234.

    Article  Google Scholar 

  • Ryder E.J. (1999a) Production methods, in: Lettuce, endive and chicory, CABI publishing, Wallingford, UK, pp. 79–96.

    Google Scholar 

  • Ryder E.J. (1999b) Harvest and post harvest methods, in: Lettuce, endive and chicory, CABI publishing, Wallingford, UK, pp. 97–107.

    Google Scholar 

  • Sebillotte M., Soler M.G. (1990) Les processus de décision des agriculteurs. Acquis et questions vives, in: Brossier J., Vissac B., Le Moigne J.L. (Eds.), Modélisation systémique et systèmes agraires, Paris, INRA, pp. 88–102.

    Google Scholar 

  • Seigneur K. (1996) Déterminisme de la stratégie de cultures de salade en Roussillon. Importance des structures commerciales, Mémoire de fin d’étude d’ingénieur, INAPG, Paris, 88 p.

    Google Scholar 

  • Ten Berge H.F.M., van Ittersum M.K., Rossing W.A.H., van de Ven G.W.J., Schans J., van de Sanden P.A.C.M. (2000) Farming options for the Netherlands explored by multi-objective modelling, Eur. J. Agron. 13, 263–277.

    Article  Google Scholar 

  • Thicoïpe J.P. (1997) Laitues, Ctifl, Paris.

    Google Scholar 

  • Tordjman S., Navarrete M., Papy F. (2004) Les formes de coordination technique entre des structures de première mise et leurs apporteurs, Cahier Agric. 14, 479–484.

    Google Scholar 

  • Wurr D.C.E., Fellows J.R., Suckling R.F. (1988) Crop continuity and prediction of maturity in the crisp lettuce variety Saladin, J. Agr. Camb. 111, 481–486.

    Article  Google Scholar 

Download references

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Correspondence to Mireille Navarrete.

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Navarrete, M., Le Bail, M. SALADPLAN: a model of the decision-making process in lettuce and endive cropping. Agron. Sustain. Dev. 27, 209–221 (2007). https://doi.org/10.1051/agro:2007009

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