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Evaluating the APEX model for alternative cow-calf grazing management strategies in Central Texas

Author

Listed:
  • Fang, Q.X.
  • Harmel, R.D.
  • Ma, L.
  • Bartling, P.N.S.
  • Derner, J.D.
  • Jeong, J.
  • Williams, J.R.
  • Boone, R.B.

Abstract

Simulation tools are increasingly used to inform grazing management decisions by assessing livestock performance, as well as environmental and economic impacts. Ability to represent the grazing of multiple pastures (i.e., paddocks) that differ in soil, hydrology, vegetation, and management is critical for reliable grazing management decision support.

Suggested Citation

  • Fang, Q.X. & Harmel, R.D. & Ma, L. & Bartling, P.N.S. & Derner, J.D. & Jeong, J. & Williams, J.R. & Boone, R.B., 2022. "Evaluating the APEX model for alternative cow-calf grazing management strategies in Central Texas," Agricultural Systems, Elsevier, vol. 195(C).
    • Handle: RePEc:eee:agisys:v:195:y:2022:i:c:s0308521x21002407
    DOI: 10.1016/j.agsy.2021.103287
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    References listed on IDEAS

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    1. Cheng, G. & Harmel, R.D. & Ma, L. & Derner, J.D. & Augustine, D.J. & Bartling, P.N.S. & Fang, Q.X. & Williams, J.R. & Zilverberg, C.J. & Boone, R.B. & Hoover, D. & Yu, Q., 2021. "Evaluation of APEX modifications to simulate forage production for grazing management decision-support in the Western US Great Plains," Agricultural Systems, Elsevier, vol. 191(C).
    2. Gillespie, Jeffrey M. & Wyatt, Wayne & Venuto, Brad & Blouin, David & Boucher, Robert W., 2008. "The Roles of Labor and Profitability in Choosing a Grazing Strategy for Beef Production in the U.S. Gulf Coast Region," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(1), pages 1-13, April.
    3. Zilverberg, Cody J. & Angerer, Jay & Williams, Jimmy & Metz, Loretta J. & Harmoney, Keith, 2018. "Sensitivity of diet choices and environmental outcomes to a selective grazing algorithm," Ecological Modelling, Elsevier, vol. 390(C), pages 10-22.
    4. Teague, W. R. & Foy, J. K., 2002. "Validation of SPUR2.4 rangeland simulation model using a cow-calf field experiment," Agricultural Systems, Elsevier, vol. 74(2), pages 287-302, November.
    5. Mosnier, C. & Agabriel, J. & Lherm, M. & Reynaud, A., 2009. "A dynamic bio-economic model to simulate optimal adjustments of suckler cow farm management to production and market shocks in France," Agricultural Systems, Elsevier, vol. 102(1-3), pages 77-88, October.
    6. White, Robin R. & Brady, Michael & Capper, Judith L. & Johnson, Kristen A., 2014. "Optimizing diet and pasture management to improve sustainability of U.S. beef production," Agricultural Systems, Elsevier, vol. 130(C), pages 1-12.
    7. Wang, Tong & Richard Teague, W. & Park, Seong C. & Bevers, Stan, 2018. "Evaluating long-term economic and ecological consequences of continuous and multi-paddock grazing - a modeling approach," Agricultural Systems, Elsevier, vol. 165(C), pages 197-207.
    8. McGrann, James M. & Olson, Kent D. & Powell, Timothy A. & Nelson, Ted R., 1986. "Microcomputer Budget Management System," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 18(1), pages 1-10, July.
    9. Zilverberg, Cody J. & Williams, Jimmy & Jones, Curtis & Harmoney, Keith & Angerer, Jay & Metz, Loretta J. & Fox, William, 2017. "Process-based simulation of prairie growth," Ecological Modelling, Elsevier, vol. 351(C), pages 24-35.
    10. Cacho, O. J. & Finlayson, J. D. & Bywater, A. C., 1995. "A simulation model of grazing sheep: II. Whole farm model," Agricultural Systems, Elsevier, vol. 48(1), pages 27-50.
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