IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v65y2004i1p101-116.html
   My bibliography  Save this article

Prediction and calculation of morphological characteristics and distribution of assimilates in the ROSGRO model

Author

Listed:
  • Dayan, E.
  • Presnov, E.
  • Fuchs, M.

Abstract

ROSGRO is a mechanistic photosynthesis-based model for better understanding of rose growth under a controlled environment. The rose canopy is composed of two types of shoots: flower shoots (FSs) and side shoots (SSs). Each shoot type is a complex of three components: stem internodes, compound leaflets and whorled petals, characterized by number, weight and morphological dimension. Light interception by the leaf area, photosynthesis and respiration are calculated in order to determine assimilates production and conversion into structural dry matter (DM). Subsequently, the model partitions the DM among plant organs and estimates spatial distribution of plant material from dry weight. DM partitioning between shoots derives from the potential growth rates established according to the potential growth of shoot templates. The potential growth can be estimated by morphological measurements on basal shoots (BSs). The growth and development of each shoot is arbitrarily divided into 20 age classes (ACs). In each AC, the apex of an FS or SS has similar morphogenetic information to the BS apex, but is deficient in its supply of assimilates. The model handles the daily bookkeeping of the number, weight, and length, area or volume of each component by considering birth and growth, death, entry and exit of components in each AC. The model predicts harvest dates and rates of picking by number and weight. It predicts flower quality characteristics and their seasonal evolution. The calculated numbers, weights, and average weights and lengths of picked flowers agree well with measured values.

Suggested Citation

  • Dayan, E. & Presnov, E. & Fuchs, M., 2004. "Prediction and calculation of morphological characteristics and distribution of assimilates in the ROSGRO model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 65(1), pages 101-116.
  • Handle: RePEc:eee:matcom:v:65:y:2004:i:1:p:101-116
    DOI: 10.1016/j.matcom.2003.09.021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475403001459
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.matcom.2003.09.021?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. Dayan, E. & van Keulen, H. & Jones, J. W. & Zipori, I. & Shmuel, D. & Challa, H., 1993. "Development, calibration and validation of a greenhouse tomato growth model: II. Field calibration and validation," Agricultural Systems, Elsevier, vol. 43(2), pages 165-183.
    2. Dayan, E. & van Keulen, H. & Jones, J. W. & Zipori, I. & Shmuel, D. & Challa, H., 1993. "Development, calibration and validation of a greenhouse tomato growth model: I. Description of the model," Agricultural Systems, Elsevier, vol. 43(2), pages 145-163.
    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. Kang, M.Z. & Cournède, P.H. & de Reffye, P. & Auclair, D. & Hu, B.G., 2008. "Analytical study of a stochastic plant growth model: Application to the GreenLab model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(1), pages 57-75.
    2. Wu, Lin & Le Dimet, François-Xavier & de Reffye, Philippe & Hu, Bao-Gang & Cournède, Paul-Henry & Kang, Meng-Zhen, 2012. "An optimal control methodology for plant growth—Case study of a water supply problem of sunflower," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(5), pages 909-923.
    3. Dayan, J & Dayan, E & Strassberg, Y & Presnov, E, 2004. "Simulation and control of ventilation rates in greenhouses," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 65(1), pages 3-17.

    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. Kazuya Maeda & Dong-Hyuk Ahn, 2021. "Estimation of Dry Matter Production and Yield Prediction in Greenhouse Cucumber without Destructive Measurements," Agriculture, MDPI, vol. 11(12), pages 1-10, November.
    2. Oreggioni, G.D. & Luberti, M. & Tassou, S.A., 2019. "Agricultural greenhouse CO2 utilization in anaerobic-digestion-based biomethane production plants: A techno-economic and environmental assessment and comparison with CO2 geological storage," Applied Energy, Elsevier, vol. 242(C), pages 1753-1766.
    3. Hu, Guoqing & You, Fengqi, 2022. "Renewable energy-powered semi-closed greenhouse for sustainable crop production using model predictive control and machine learning for energy management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    4. Golzar, Farzin & Heeren, Niko & Hellweg, Stefanie & Roshandel, Ramin, 2018. "A novel integrated framework to evaluate greenhouse energy demand and crop yield production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 487-501.

    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:matcom:v:65:y:2004:i:1:p:101-116. 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.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    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.