IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v11y2021i11p1115-d675498.html
   My bibliography  Save this article

Hazelnut Kernel Size and Industrial Aptitude

Author

Listed:
  • Agusti Romero-Aroca

    (Institut de Recerca i Tecnologia Agroalimentàries IRTA-Mas Bové, Ctra. Reus-El Morell km 3.8, 43120 Constantí, Spain)

  • Mercè Rovira

    (Institut de Recerca i Tecnologia Agroalimentàries IRTA-Mas Bové, Ctra. Reus-El Morell km 3.8, 43120 Constantí, Spain)

  • Valerio Cristofori

    (Dipartimento di Scienze Agrarie e Forestali (DAFNE), Università degli Studi della Tuscia, Via S. Camillo de Lellis snc, 01100 Viterbo, Italy)

  • Cristian Silvestri

    (Dipartimento di Scienze Agrarie e Forestali (DAFNE), Università degli Studi della Tuscia, Via S. Camillo de Lellis snc, 01100 Viterbo, Italy)

Abstract

Kernel size is the main hazelnut quality parameter for the consumption market. However, industrial purposes are the main destination for the main hazelnut cultivars. This work aims to identify industrial aptitude relationships to kernel size, and qualitative nut and kernel traits eligible to enhance hazelnut’s commercial value. The qualitative hazelnut traits of cv “Negret” and “Pauetet” were assessed via in-shell and shelled nut sizes for two years. In-shell hazelnuts were tested for weight, shape, percent kernel, yield and shell thickness. Kernels were measured for shape, weight, roasting aptitude, skin color, moisture content and water activity, free acidity, fat content, crude protein, total sugars, minerals, fatty acid composition, α-tocopherol and oil stability. In-shell hazelnut traits significantly differed between cultivars, sizes and storage period. Shell thickness and nut roundness increased almost linearly with nut caliber, whereas kernel percentage decreased. Kernel roundness increased linearly with caliber. The blanching and roasting aptitude of “Negret” increased linearly with caliber, whereas no significant trend was observed for “Pauetet”. Significant differences between cultivars were confirmed for water activity, oil acidity and skin color. Regarding chemical composition, fat content increased linearly with caliber in both cultivars, and α-tocopherol followed the same trend in “Negret”. The sugar content tended to decrease with caliber, whereas crude protein, fiber and minerals did not show any significant relationship with kernel size. Unsaturated and polyunsaturated fatty acids fitted to linear models related to caliber, showing differences between cultivars. Unsaturated fatty acids increased with caliber, whereas polyunsaturated fatty acids decreased, and the oil stability increased linearly with kernel size. These results show that some hazelnut key traits change significantly with kernel size. The linear models presented could be a powerful tool for the confectionery industry to modulate the industrial value of given hazelnut batches.

Suggested Citation

  • Agusti Romero-Aroca & Mercè Rovira & Valerio Cristofori & Cristian Silvestri, 2021. "Hazelnut Kernel Size and Industrial Aptitude," Agriculture, MDPI, vol. 11(11), pages 1-16, November.
  • Handle: RePEc:gam:jagris:v:11:y:2021:i:11:p:1115-:d:675498
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/11/11/1115/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/11/11/1115/
    Download Restriction: no
    ---><---

    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:gam:jagris:v:11:y:2021:i:11:p:1115-:d:675498. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.