IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0073202.html
   My bibliography  Save this article

Injury Profile SIMulator, a Qualitative Aggregative Modelling Framework to Predict Crop Injury Profile as a Function of Cropping Practices, and the Abiotic and Biotic Environment. I. Conceptual Bases

Author

Listed:
  • Jean-Noël Aubertot
  • Marie-Hélène Robin

Abstract

The limitation of damage caused by pests (plant pathogens, weeds, and animal pests) in any agricultural crop requires integrated management strategies. Although significant efforts have been made to i) develop, and to a lesser extent ii) combine genetic, biological, cultural, physical and chemical control methods in Integrated Pest Management (IPM) strategies (vertical integration), there is a need for tools to help manage Injury Profiles (horizontal integration). Farmers design cropping systems according to their goals, knowledge, cognition and perception of socio-economic and technological drivers as well as their physical, biological, and chemical environment. In return, a given cropping system, in a given production situation will exhibit a unique injury profile, defined as a dynamic vector of the main injuries affecting the crop. This simple description of agroecosystems has been used to develop IPSIM (Injury Profile SIMulator), a modelling framework to predict injury profiles as a function of cropping practices, abiotic and biotic environment. Due to the tremendous complexity of agroecosystems, a simple holistic aggregative approach was chosen instead of attempting to couple detailed models. This paper describes the conceptual bases of IPSIM, an aggregative hierarchical framework and a method to help specify IPSIM for a given crop. A companion paper presents a proof of concept of the proposed approach for a single disease of a major crop (eyespot on wheat). In the future, IPSIM could be used as a tool to help design ex-ante IPM strategies at the field scale if coupled with a damage sub-model, and a multicriteria sub-model that assesses the social, environmental, and economic performances of simulated agroecosystems. In addition, IPSIM could also be used to help make diagnoses on commercial fields. It is important to point out that the presented concepts are not crop- or pest-specific and that IPSIM can be used on any crop.

Suggested Citation

  • Jean-Noël Aubertot & Marie-Hélène Robin, 2013. "Injury Profile SIMulator, a Qualitative Aggregative Modelling Framework to Predict Crop Injury Profile as a Function of Cropping Practices, and the Abiotic and Biotic Environment. I. Conceptual Bases," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-12, September.
  • Handle: RePEc:plo:pone00:0073202
    DOI: 10.1371/journal.pone.0073202
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0073202
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0073202&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0073202?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Tiffany L. Fess & James B. Kotcon & Vagner A. Benedito, 2011. "Crop Breeding for Low Input Agriculture: A Sustainable Response to Feed a Growing World Population," Sustainability, MDPI, vol. 3(10), pages 1-31, October.
    2. Kropff, M. J. & Teng, P. S. & Rabbinge, R., 1995. "The challenge of linking pest and crop models," Agricultural Systems, Elsevier, vol. 49(4), pages 413-434.
    3. Kropff, M. J. & Bouma, J. & Jones, J. W., 2001. "Systems approaches for the design of sustainable agro-ecosystems," Agricultural Systems, Elsevier, vol. 70(2-3), pages 369-393.
    4. Bohanec, Marko & Messéan, Antoine & Scatasta, Sara & Angevin, Frédérique & Griffiths, Bryan & Krogh, Paul Henning & Žnidaršič, Martin & Džeroski, Sašo, 2008. "A qualitative multi-attribute model for economic and ecological assessment of genetically modified crops," Ecological Modelling, Elsevier, vol. 215(1), pages 247-261.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. M. Sujithra & Subhash Chander, 2013. "Simulation of rice brown planthopper, Nilaparvata lugens (Stal.) population and crop-pest interactions to assess climate change impact," Climatic Change, Springer, vol. 121(2), pages 331-347, November.
    2. Negm, L.M. & Youssef, M.A. & Skaggs, R.W. & Chescheir, G.M. & Jones, J., 2014. "DRAINMOD–DSSAT model for simulating hydrology, soil carbon and nitrogen dynamics, and crop growth for drained crop land," Agricultural Water Management, Elsevier, vol. 137(C), pages 30-45.
    3. Tesfamariam, Eyob H. & Annandale, John G. & Steyn, Joachim M. & Stirzaker, Richard J. & Mbakwe, Ikenna, 2015. "Use of the SWB-Sci model for nitrogen management in sludge-amended land," Agricultural Water Management, Elsevier, vol. 152(C), pages 262-276.
    4. Fargue-Lelièvre, A. & Le Cœur, D. & Baudry, J., 2011. "Integrating farming techniques in an ecological matrix model: Implementation on the primrose (Primula vulgaris)," Ecological Modelling, Elsevier, vol. 222(4), pages 1002-1015.
    5. Olubanjo, Obafemi O. & Adaramola, Oluwafemi D. & Alade, Adebolu E. & Azubuike, Chukwudi J., . "Development of Drip Flow Technique Hydroponic in Growing Cucumber," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 11(2).
    6. Vasileios Greveniotis & Elisavet Bouloumpasi & Stylianos Zotis & Athanasios Korkovelos & Constantinos G. Ipsilandis, 2021. "Assessment of Interactions between Yield Components of Common Vetch Cultivars in Both Conventional and Low-Input Cultivation Systems," Agriculture, MDPI, vol. 11(4), pages 1-18, April.
    7. Cittadini, E.D. & Lubbers, M.T.M.H. & de Ridder, N. & van Keulen, H. & Claassen, G.D.H., 2008. "Exploring options for farm-level strategic and tactical decision-making in fruit production systems of South Patagonia, Argentina," Agricultural Systems, Elsevier, vol. 98(3), pages 189-198, October.
    8. Debeljak, Marko & Trajanov, Aneta & Stojanova, Daniela & Leprince, Florence & Džeroski, Sašo, 2012. "Using relational decision trees to model out-crossing rates in a multi-field setting," Ecological Modelling, Elsevier, vol. 245(C), pages 75-83.
    9. Olubanjo, Obafemi O. & Adaramola, Oluwafemi D. & Alade, Adebolu E. & Azubuike, Chukwudi J., . "Development of Drip Flow Technique Hydroponic in Growing Cucumber," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 11(2).
    10. Chopin, Pierre & Blazy, Jean-Marc & Guindé, Loïc & Wery, Jacques & Doré, Thierry, 2017. "A framework for designing multi-functional agricultural landscapes: Application to Guadeloupe Island," Agricultural Systems, Elsevier, vol. 157(C), pages 316-329.
    11. Selvaraj Krishnan & Subhash Chander, 2015. "Simulation of climatic change impact on crop-pest interactions: a case study of rice pink stem borer Sesamia inferens (Walker)," Climatic Change, Springer, vol. 131(2), pages 259-272, July.
    12. Samuel Le Féon & Théo Dubois & Christophe Jaeger & Aurélie Wilfart & Nouraya Akkal-Corfini & Jacopo Bacenetti & Michele Costantini & Joël Aubin, 2021. "DEXiAqua, a Model to Assess the Sustainability of Aquaculture Systems: Methodological Development and Application to a French Salmon Farm," Sustainability, MDPI, vol. 13(14), pages 1-28, July.
    13. Norman Siebrecht, 2020. "Sustainable Agriculture and Its Implementation Gap—Overcoming Obstacles to Implementation," Sustainability, MDPI, vol. 12(9), pages 1-27, May.
    14. Higgins, Andrew & Antony, George & Sandell, Gary & Davies, Ian & Prestwidge, Di & Andrew, Bill, 2004. "A framework for integrating a complex harvesting and transport system for sugar production," Agricultural Systems, Elsevier, vol. 82(2), pages 99-115, November.
    15. Johnson Holt & Adrian W. Leach & Gritta Schrader & Françoise Petter & Alan MacLeod & Dirk Jan van der Gaag & Richard H. A. Baker & John D. Mumford, 2014. "Eliciting and Combining Decision Criteria Using a Limited Palette of Utility Functions and Uncertainty Distributions: Illustrated by Application to Pest Risk Analysis," Risk Analysis, John Wiley & Sons, vol. 34(1), pages 4-16, January.
    16. Salembier, Chloé & Segrestin, Blanche & Berthet, Elsa & Weil, Benoît & Meynard, Jean-Marc, 2018. "Genealogy of design reasoning in agronomy: Lessons for supporting the design of agricultural systems," Agricultural Systems, Elsevier, vol. 164(C), pages 277-290.
    17. Mohamed Gafsi & Geneviève Nguyen & Bruno Legagneux & Patrice Robin, 2006. "Sustainability and multifunctionality in French farms: Analysis of the implementation of Territorial Farming Contracts," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 23(4), pages 463-475, December.
    18. Yan-yun Han & Kai-yi Wang & Zhong-qiang Liu & Shou-hui Pan & Xiang-yu Zhao & Qi Zhang & Shu-feng Wang, 2020. "Research on Hybrid Crop Breeding Information Management System Based on Combining Ability Analysis," Sustainability, MDPI, vol. 12(12), pages 1-16, June.
    19. repec:mth:jas888:v:7:y:2019:i:2:p:11-26 is not listed on IDEAS
    20. Rinaldi, Michele & Ventrella, Domenico & Gagliano, Caterina, 2007. "Comparison of nitrogen and irrigation strategies in tomato using CROPGRO model. A case study from Southern Italy," Agricultural Water Management, Elsevier, vol. 87(1), pages 91-105, January.
    21. Obafemi O. Olubanjo & Oluwafemi D. Adaramola & Adebolu E. Alade & Chukwudi J. Azubuike, 2022. "Development of Drip Flow Technique Hydroponic in Growing Cucumber," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 11(2), pages 1-67, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0073202. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.