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Optimizing Sericea Lespedeza Fodder Production in the Southeastern US: A Climate-Informed Geospatial Engineering Approach

Author

Listed:
  • Sudhanshu S. Panda

    (Institute for Environmental Spatial Analysis, University of North Georgia, 3820 Mundy Mill Road, Oakwood, GA 30566, USA)

  • Thomas H. Terrill

    (Department of Agricultural Sciences, Fort Valley State University, 1005 State University Drive, Fort Valley, GA 31030, USA)

  • Ajit K. Mahapatra

    (Department of Agricultural Sciences, Fort Valley State University, 1005 State University Drive, Fort Valley, GA 31030, USA)

  • Eric R. Morgan

    (Institute for Global Food Security, Queen’s University, University Road, Belfast BT7 1NN, UK)

  • Aftab Siddique

    (Department of Agricultural Sciences, Fort Valley State University, 1005 State University Drive, Fort Valley, GA 31030, USA)

  • Andres A. Pech-Cervantes

    (Department of Agricultural Sciences, Fort Valley State University, 1005 State University Drive, Fort Valley, GA 31030, USA)

  • Jan A. van Wyk

    (Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Private Bag X04, Onderstepoort 0110, South Africa)

Abstract

Lack of attention to rural healthcare for livestock in the southeastern United States has led to a focus on small ruminant farming, mainly using sericea lespedeza [SL; Lespedeza cuneata (Dum-Cours) G. Don], a drought-resistant forage species with nutraceutical benefits. Climate change has increased land availability for SL cultivation, further expanding the potential of this bioactive (anti-parasitic) legume. This study aims to create a geospatial engineering and technology-assisted model for identifying suitable SL production areas for supporting profitable small ruminant farming. The cultivation of SL depends on specific weather conditions and soil properties, with minimum requirements for temperature and rainfall, non-clay soil with reduced bulk density, and open land cover. The main objective was to develop an automated geospatial model using ArcGIS Pro ModelBuilder to assess SL production suitability. This model also aimed to identify appropriate locations for small ruminant production in Georgia in the southeastern United States, characterized by increasing temperature fluctuations. A web-based geographic information system (webGIS) platform was developed using the ArcGIS Online dashboard interface, allowing agriculturalists to access decision support for SL production suitability tailored to their land. This forage production suitability analysis, conducted in the context of climate change, offers valuable guidance for pasture managers in other nations with similar environmental attributes, promoting global adaptability and resilience.

Suggested Citation

  • Sudhanshu S. Panda & Thomas H. Terrill & Ajit K. Mahapatra & Eric R. Morgan & Aftab Siddique & Andres A. Pech-Cervantes & Jan A. van Wyk, 2023. "Optimizing Sericea Lespedeza Fodder Production in the Southeastern US: A Climate-Informed Geospatial Engineering Approach," Agriculture, MDPI, vol. 13(9), pages 1-15, August.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:9:p:1661-:d:1223224
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    References listed on IDEAS

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    1. Sudhanshu S. Panda & Thomas H. Terrill & Ajit K. Mahapatra & Brian Kelly & Eric R. Morgan & Jan A. van Wyk, 2020. "Site-Specific Forage Management of Sericea Lespedeza: Geospatial Technology-Based Forage Quality and Yield Enhancement Model Development," Agriculture, MDPI, vol. 10(9), pages 1-17, September.
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    Cited by:

    1. Sudhanshu S. Panda & Thomas H. Terrill & Aftab Siddique & Ajit K. Mahapatra & Eric R. Morgan & Andres A. Pech-Cervantes & Jan A. Van Wyk, 2024. "Development of a Decision Support System for Animal Health Management Using Geo-Information Technology: A Novel Approach to Precision Livestock Management," Agriculture, MDPI, vol. 14(5), pages 1-20, April.

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