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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

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  • Lopez, Jose R.
  • Erickson, John E.
  • Asseng, Senthold
  • Bobeda, Edmundo Lopez

Abstract

There is potential to reduce irrigation water requirements in bioenergy feedstock cropping systems by breeding for deep rooted sweet sorghum cultivars that intercept more rainfall water. Such cultivars would require little or no irrigation in some environments. Consequently, the objective of this study was to quantify the potential benefit of deeper rooted sweet sorghum cultivars by simulating a range of root depth and planting date scenarios in the subtropical climate of the southeastern USA by modifying the CERES grain sorghum cropping system model for sweet sorghum. A two year field study was conducted to collect data for model development. The new sweet sorghum model was validated against independent studies from six different locations around the world. The root mean squared error of prediction of the model was 4.7% for days to maturity (6 days), 21% for total biomass weight, and 22.6% for stem dry weight. We then simulated sweet sorghum growth and yield for nineteen hypothetical rooting depths between 30 and 210cm. Based on model simulations, including uncertainty analysis associated with model parameters, the optimal root depth for our environment in the southeastern USA under rainfed conditions, was between 110 and 140cm to maximize final biomass yield. The simulated hypothetical 120cm root depth sweet sorghum had final biomass yields up to 48.2% higher than the simulated widely grown cultivar ‘M81 E’ in rainfed systems and would require up to 32% less irrigation to meet actual evapotranspiration demand. These results highlight the importance of breeding for deeper rooted sweet sorghum cultivars along with optimized sowing dates for higher biomass yields. However, model simulations also indicated that, even with optimal rooting depth and density, irrigation would be needed to maximize final biomass yields.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:agiwat:v:181:y:2017:i:c:p:47-55
    DOI: 10.1016/j.agwat.2016.11.023
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    References listed on IDEAS

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    1. Pujol, Gilles, 2009. "Simplex-based screening designs for estimating metamodels," Reliability Engineering and System Safety, Elsevier, vol. 94(7), pages 1156-1160.
    2. Boote, K. J. & Kropff, M. J. & Bindraban, P. S., 2001. "Physiology and modelling of traits in crop plants: implications for genetic improvement," Agricultural Systems, Elsevier, vol. 70(2-3), pages 395-420.
    3. Timsina, J. & Humphreys, E., 2006. "Performance of CERES-Rice and CERES-Wheat models in rice-wheat systems: A review," Agricultural Systems, Elsevier, vol. 90(1-3), pages 5-31, October.
    4. N. Dercas & A. Liakatas, 2007. "Water and Radiation Effect on Sweet Sorghum Productivity," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(9), pages 1585-1600, September.
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    1. 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).
    2. Araya, A. & Kisekka, I. & Gowda, P.H. & Prasad, P.V.V., 2018. "Grain sorghum production functions under different irrigation capacities," Agricultural Water Management, Elsevier, vol. 203(C), pages 261-271.
    3. Brainard, D.C. & Byl, B. & Hayden, Z.D. & Noyes, D.C. & Bakker, J. & Werling, B., 2019. "Managing drought risk in a changing climate: Irrigation and cultivar impacts on Michigan asparagus," Agricultural Water Management, Elsevier, vol. 213(C), pages 773-781.

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