IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i18p8461-d1754237.html
   My bibliography  Save this article

Spatial Typology of Lorena Avocado Production Systems in Colombian Lowlands (Casanare): Integrating Agronomic and Socioeconomic Characteristics

Author

Listed:
  • Juan P. Taramuel-Taramuel

    (Escuela de Administración y Contaduría Pública, Facultad de Ciencias Económicas, Universidad Nacional de Colombia, Bogotá 111321, Colombia
    Grupo de Investigación Biogénesis, Departamento de Desarrollo Rural y Agroalimentario, Facultad de Ciencias Agrarias, Universidad Nacional de Colombia, Bogotá 111321, Colombia)

  • Iván A. Montoya-Restrepo

    (Departamento de Ingeniería de la Organización, Facultad de Minas, Universidad Nacional de Colombia, Medellín 050034, Colombia)

  • Aquiles Enrique Darghan Contreras

    (Departamento de Agronomía, Facultad de Ciencias Agrarias, Universidad Nacional de Colombia, Bogotá 111321, Colombia)

  • Diego Miranda Lasprilla

    (Departamento de Agronomía, Facultad de Ciencias Agrarias, Universidad Nacional de Colombia, Bogotá 111321, Colombia)

  • Dursun Barrios

    (Grupo de Investigación Biogénesis, Departamento de Desarrollo Rural y Agroalimentario, Facultad de Ciencias Agrarias, Universidad Nacional de Colombia, Bogotá 111321, Colombia)

Abstract

Understanding the diversity of avocado production systems is crucial for developing effective agricultural policies and extension strategies. This study examined the Colombian avocado variety “Lorena” in the Colombian lowlands of Casanare through spatial typology analysis to inform sustainable agricultural development strategies. We employed spatial autoregressive modeling and clustering techniques to analyze data from 45 production systems, revealing heterogeneity despite small-scale operations with productivity (2.9 ton ha −1 ) below regional (8 ton ha −1 ) and national averages (11.03 ton ha −1 ). Five distinct typologies emerged: transitional traditional ( n = 15), intensive technical management ( n = 4), experience-based traditional ( n = 5), balanced management ( n = 10), and comprehensive technical systems ( n = 11). In contrast to conventional assumptions about economies of scale, productivity was not primarily determined by farm size, as smaller intensive technical management systems achieved the highest yields (3375 kg) despite having the smallest size (162.50 trees), followed by experience-based traditional systems (3280 kg). The spatial autoregressive model effectively captured spatial dependence in yield patterns, demonstrating the importance of geographic context in agricultural system analysis. Technology/practice adoption patterns varied markedly, with high adoption of established practices (>90%) but low foliar analysis adoption (17.78%). High organic fertilization adoption (93.33%) reflected a commitment to environmental sustainability but may partially explain productivity gaps, highlighting trade-offs between sustainability and short-term yield optimization. Socioeconomic analysis revealed characteristics of part-time farming systems, with 91.11% of producers having additional income sources and 95.56% using hired labor, suggesting evolved livelihood strategies that may enhance resilience. These findings challenge one-size-fits-all development approaches and demonstrate the need for tailored, spatially targeted interventions that account for specific production system characteristics, multiple pathways to sustainable intensification, and the complex interactions between productivity, sustainability, and socioeconomic factors in smallholder agriculture.

Suggested Citation

  • Juan P. Taramuel-Taramuel & Iván A. Montoya-Restrepo & Aquiles Enrique Darghan Contreras & Diego Miranda Lasprilla & Dursun Barrios, 2025. "Spatial Typology of Lorena Avocado Production Systems in Colombian Lowlands (Casanare): Integrating Agronomic and Socioeconomic Characteristics," Sustainability, MDPI, vol. 17(18), pages 1-17, September.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:18:p:8461-:d:1754237
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/18/8461/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/18/8461/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:17:y:2025:i:18:p:8461-:d:1754237. 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.