IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v149y2016icp99-111.html
   My bibliography  Save this article

Learning from commercial crop performance: Oil palm yield response to management under well-defined growing conditions

Author

Listed:
  • Cock, J.
  • Kam, S.P.
  • Cook, S.
  • Donough, C.
  • Lim, Y.L.
  • Jines-Leon, A.
  • Lim, C.H.
  • Primananda, S.
  • Yen, B.T.
  • Mohanaraj, S.N.
  • Samosir, Y.M.S.
  • Oberthür, T.

Abstract

Farmers learn from their own experiences. However, they are rarely sure if an exceptionally good or bad outcome is due to chance effects or whether it is due to a given combination of management practices and environmental conditions. We surmised that, if each harvest event is adequately characterized and a large number of these events are analyzed together, it should be possible to associate crop response to management within a particular set of growth conditions. We tested this hypothesis using the perennial crop, oil palm.

Suggested Citation

  • Cock, J. & Kam, S.P. & Cook, S. & Donough, C. & Lim, Y.L. & Jines-Leon, A. & Lim, C.H. & Primananda, S. & Yen, B.T. & Mohanaraj, S.N. & Samosir, Y.M.S. & Oberthür, T., 2016. "Learning from commercial crop performance: Oil palm yield response to management under well-defined growing conditions," Agricultural Systems, Elsevier, vol. 149(C), pages 99-111.
    • Handle: RePEc:eee:agisys:v:149:y:2016:i:c:p:99-111
    DOI: 10.1016/j.agsy.2016.09.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X16304784
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agsy.2016.09.002?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lacy, John, 2011. "Cropcheck: Farmer benchmarking participatory model to improve productivity," Agricultural Systems, Elsevier, vol. 104(7), pages 562-571, September.
    2. Jiménez, Daniel & Cock, James & Jarvis, Andy & Garcia, James & Satizábal, Héctor F. & Damme, Patrick Van & Pérez-Uribe, Andrés & Barreto-Sanz, Miguel A., 2011. "Interpretation of commercial production information: A case study of lulo (Solanum quitoense), an under-researched Andean fruit," Agricultural Systems, Elsevier, vol. 104(3), pages 258-270, March.
    3. Cock, James & Oberthür, Thomas & Isaacs, Camilo & Läderach, Peter Roman & Palma, Alberto & Carbonell, Javier & Victoria, Jorge & Watts, Geoff & Amaya, Alvaro & Collet, Laure & Lema, Germán & Anderson,, 2011. "Crop management based on field observations: Case studies in sugarcane and coffee," Agricultural Systems, Elsevier, vol. 104(9), pages 755-769.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Agus, Fahmuddin & Tenorio, Fatima A. & Saleh, Shofia & Purwantomo, Dwi Kuntjoro G. & Yustika, Rahmah D. & Marwanto, Setiari & Suratman, & Sidhu, Manjit Singh & Cock, James & Kam, Suan Pheng & Fairhurs, 2024. "Guiding oil palm intensification through a spatial extrapolation domain framework," Agricultural Systems, Elsevier, vol. 213(C).
    2. Hoffmann, M.P. & Donough, C.R. & Cook, S.E. & Fisher, M.J. & Lim, C.H. & Lim, Y.L. & Cock, J. & Kam, S.P. & Mohanaraj, S.N. & Indrasuara, K. & Tittinutchanon, P. & Oberthür, T., 2017. "Yield gap analysis in oil palm: Framework development and application in commercial operations in Southeast Asia," Agricultural Systems, Elsevier, vol. 151(C), pages 12-19.
    3. Culman, María & de Farias, Claudio M. & Bayona, Cristihian & Cabrera Cruz, José Daniel, 2019. "Using agrometeorological data to assist irrigation management in oil palm crops: A decision support method and results from crop model simulation," Agricultural Water Management, Elsevier, vol. 213(C), pages 1047-1062.
    4. Abdul-Hamid, Asma-Qamaliah & Ali, Mohd Helmi & Osman, Lokhman Hakim & Tseng, Ming-Lang & Lim, Ming K., 2022. "Industry 4.0 quasi-effect between circular economy and sustainability: Palm oil industry," International Journal of Production Economics, Elsevier, vol. 253(C).

    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. Martínez-Alvarez, V. & García-Bastida, P.A. & Martin-Gorriz, B. & Soto-García, M., 2014. "Adaptive strategies of on-farm water management under water supply constraints in south-eastern Spain," Agricultural Water Management, Elsevier, vol. 136(C), pages 59-67.
    2. Cock, James & Oberthür, Thomas & Isaacs, Camilo & Läderach, Peter Roman & Palma, Alberto & Carbonell, Javier & Victoria, Jorge & Watts, Geoff & Amaya, Alvaro & Collet, Laure & Lema, Germán & Anderson,, 2011. "Crop management based on field observations: Case studies in sugarcane and coffee," Agricultural Systems, Elsevier, vol. 104(9), pages 755-769.
    3. Culman, María & de Farias, Claudio M. & Bayona, Cristihian & Cabrera Cruz, José Daniel, 2019. "Using agrometeorological data to assist irrigation management in oil palm crops: A decision support method and results from crop model simulation," Agricultural Water Management, Elsevier, vol. 213(C), pages 1047-1062.
    4. Kim Lowell & Lindsay Smith & Ian Miller & Christopher Pettit & Eloise Seymour, 2012. "Extension Activity Support System (EASY): A Web-Based Prototype for Facilitating Farm Management," Future Internet, MDPI, vol. 4(1), pages 1-23, January.
    5. Agus, Fahmuddin & Tenorio, Fatima A. & Saleh, Shofia & Purwantomo, Dwi Kuntjoro G. & Yustika, Rahmah D. & Marwanto, Setiari & Suratman, & Sidhu, Manjit Singh & Cock, James & Kam, Suan Pheng & Fairhurs, 2024. "Guiding oil palm intensification through a spatial extrapolation domain framework," Agricultural Systems, Elsevier, vol. 213(C).

    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:eee:agisys:v:149:y:2016:i:c:p:99-111. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    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.