IDEAS home Printed from https://ideas.repec.org/a/caa/jnlrae/v66y2020i4id11-2020-rae.html
   My bibliography  Save this article

Physical and mechanical properties of berries and biological features of red currant growth for mechanized harvesting

Author

Listed:
  • Olga Panfilova
  • Olga Kalinina

    (Russian Research Institute of Fruit Crop Breeding, Zhilina, Russia)

  • Olga Golyaeva

    (Russian Research Institute of Fruit Crop Breeding, Zhilina, Russia)

  • Sergey Knyazev

    (Russian Research Institute of Fruit Crop Breeding, Zhilina, Russia)

  • Mikhail Tsoy

    (Russian Research Institute of Fruit Crop Breeding, Zhilina, Russia)

Abstract

The physical and mechanical parameters of berries and the morphometric features of the structure of the bush growth habit are important criteria in predicting the use of berry harvesting equipment. In this research, six red currant cultivars have been studied. The berry separation force, the crushing force, and the strength of attachment of the berries to the stalk were assigned to the physical and mechanical parameters and were determined using the "PLODTEST-1" and "Dina-2" devices (Russia). For the optimal operation of the berry harvester, the crushing force of the berries must be more than 2 N, the berry separation force must be in the range of 0.5-1.5 N. A high correlation between the separation and crushing forces was determined (R = 0.71). During the period of technical maturity, the strength of the attachment of the berries in the raceme was more than 0.5 N and, by the end of maturation, this indicator decreased. Most of the studied cultivars have a compact, optimal bush volume. The red currant cultivars Niva, Asya and Vika are promising for mechanised harvesting.

Suggested Citation

  • Olga Panfilova & Olga Kalinina & Olga Golyaeva & Sergey Knyazev & Mikhail Tsoy, 2020. "Physical and mechanical properties of berries and biological features of red currant growth for mechanized harvesting," Research in Agricultural Engineering, Czech Academy of Agricultural Sciences, vol. 66(4), pages 156-163.
  • Handle: RePEc:caa:jnlrae:v:66:y:2020:i:4:id:11-2020-rae
    DOI: 10.17221/11/2020-RAE
    as

    Download full text from publisher

    File URL: http://rae.agriculturejournals.cz/doi/10.17221/11/2020-RAE.html
    Download Restriction: free of charge

    File URL: http://rae.agriculturejournals.cz/doi/10.17221/11/2020-RAE.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.17221/11/2020-RAE?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.

    Citations

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


    Cited by:

    1. Piotr Kuźniar & Katarzyna Pentoś & Józef Gorzelany, 2023. "Evaluation of the Use of Machine Learning to Predict Selected Mechanical Properties of Red Currant Fruit ( Ribes rubrum L.) Ozonized during Storage," Agriculture, MDPI, vol. 13(11), pages 1-18, November.

    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:caa:jnlrae:v:66:y:2020:i:4:id:11-2020-rae. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    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.