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Calibrating APSIM for forage sorghum using remote sensing and field data under sub-optimal growth conditions

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  • Della Nave, Facundo N.
  • Ojeda, Jonathan J.
  • Irisarri, J. Gonzalo N.
  • Pembleton, Keith
  • Oyarzabal, Mariano
  • Oesterheld, Martín

Abstract

Mechanistic sorghum models have been mostly used to estimate sorghum yield for grain sorghum for a range of genotype, management, and environmental conditions. There is a lack of model testing for crop growth and development responses for forage genotypes and information for phenological parameterization under sub-optimal water and nitrogen stress conditions in forage systems.

Suggested Citation

  • Della Nave, Facundo N. & Ojeda, Jonathan J. & Irisarri, J. Gonzalo N. & Pembleton, Keith & Oyarzabal, Mariano & Oesterheld, Martín, 2022. "Calibrating APSIM for forage sorghum using remote sensing and field data under sub-optimal growth conditions," Agricultural Systems, Elsevier, vol. 201(C).
    • Handle: RePEc:eee:agisys:v:201:y:2022:i:c:s0308521x22000956
    DOI: 10.1016/j.agsy.2022.103459
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    References listed on IDEAS

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    2. Grigera, Gonzalo & Oesterheld, Martin & Pacin, Fernando, 2007. "Monitoring forage production for farmers' decision making," Agricultural Systems, Elsevier, vol. 94(3), pages 637-648, June.
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    4. Lopez, Jose R. & Erickson, John E. & Asseng, Senthold & Bobeda, Edmundo Lopez, 2017. "Modification of the CERES grain sorghum model to simulate optimum sweet sorghum rooting depth for rainfed production on coarse textured soils in a sub-tropical environment," Agricultural Water Management, Elsevier, vol. 181(C), pages 47-55.
    5. Farre, Imma & Faci, Jose Maria, 2006. "Comparative response of maize (Zea mays L.) and sorghum (Sorghum bicolor L. Moench) to deficit irrigation in a Mediterranean environment," Agricultural Water Management, Elsevier, vol. 83(1-2), pages 135-143, May.
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    Cited by:

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