IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i22p6493-d288238.html
   My bibliography  Save this article

The Genetic Structure of the Field Pea Landrace “Roveja di Civita di Cascia”

Author

Listed:
  • Nicoletta Ferradini

    (Dipartimento di Scienze Agrarie, Alimentari e Ambientali, Università degli Studi di Perugia, 06100 Perugia, Italy
    These authors contributed equally to this work.)

  • Renzo Torricelli

    (Dipartimento di Scienze Agrarie, Alimentari e Ambientali, Università degli Studi di Perugia, 06100 Perugia, Italy
    These authors contributed equally to this work.)

  • Niccolò Terzaroli

    (Dipartimento di Scienze Agrarie, Alimentari e Ambientali, Università degli Studi di Perugia, 06100 Perugia, Italy
    These authors contributed equally to this work.)

  • Emidio Albertini

    (Dipartimento di Scienze Agrarie, Alimentari e Ambientali, Università degli Studi di Perugia, 06100 Perugia, Italy
    These authors contributed equally to this work.)

  • Luigi Russi

    (Dipartimento di Scienze Agrarie, Alimentari e Ambientali, Università degli Studi di Perugia, 06100 Perugia, Italy
    These authors contributed equally to this work.)

Abstract

“Roveja di Civita di Cascia” is a landrace of Pisum sativum grown in marginal land habitats of the Apennines, Central Italy, and is one of the eleven herbaceous crop landraces listed in the Regional Register of local varieties. The objective of the present paper was to assess its genetic structure using 62 morphological traits and five microsatellites. As many as 55 traits showed significant differences with the control entries ( P. sativum subsp. sativum var. arvense and var. sativum ). We tested P. sativum Simple Sequence Repeats (SSRs) for their transferability to “Roveja”, and found that only 12 out of 35 performed well. Of these, we demonstrated that five were sufficient to assess the genetic structure of this landrace, characterized by several private alleles, differentiating it from Paladio and Bluemoon, which were used as controls. Phenotypic and genotypic data evidenced a genetic structure based on a blend of several pure-bred lines. The sustainability of on-farm landrace conservation is discussed.

Suggested Citation

  • Nicoletta Ferradini & Renzo Torricelli & Niccolò Terzaroli & Emidio Albertini & Luigi Russi, 2019. "The Genetic Structure of the Field Pea Landrace “Roveja di Civita di Cascia”," Sustainability, MDPI, vol. 11(22), pages 1-23, November.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:22:p:6493-:d:288238
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/22/6493/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/22/6493/
    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:jsusta:v:11:y:2019:i:22:p:6493-:d:288238. 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.