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Adaptation of C 4 Bioenergy Crop Species to Various Environments within the Southern Great Plains of USA

Author

Listed:
  • Sumin Kim

    (Oak Ridge Institute for Science and Education, Oak Ridge, TN 37830, USA)

  • James R. Kiniry

    (USDA, Agricultural Research Service, Grassland Soil and Water Research Laboratory, Temple, TX 76502, USA)

  • Amber S. Williams

    (USDA, Agricultural Research Service, Grassland Soil and Water Research Laboratory, Temple, TX 76502, USA)

  • Norman Meki

    (Texas A&M AgriLife Research, Blackland Research and Extension Center, Temple, TX 76502, USA)

  • Lewis Gaston

    (School of Plant, Environmental, and Soil Science, College of Agriculture at LSI AgCenter, Baton Rouge, LA 70803, USA)

  • Melinda Brakie

    (USDA-NRCS East Texas Plant Materials Center, Nacogdoches, TX 76501, USA)

  • Alan Shadow

    (USDA-NRCS East Texas Plant Materials Center, Nacogdoches, TX 76501, USA)

  • Felix B. Fritschi

    (Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA)

  • Yanqi Wu

    (Oklahoma State University, Stillwater, OK 74078, USA)

Abstract

As highly productive perennial grasses are evaluated as bioenergy feedstocks, a major consideration is biomass yield stability. Two experiments were conducted to examine some aspects of yield stability for two biofuel species: switchgrass ( Panicum vigratum L.) and Miscanthus x giganteus ( Mxg ). Biomass yields of these species were evaluated under various environmental conditions across the Southern Great Plains (SGP), including some sites with low soil fertility. In the first experiment, measured yields of four switchgrass ecotypes and Mxg varied among locations. Overall, plants showed optimal growth performance in study sites close to their geographical origins. Lowland switchgrass ecotypes and Mxg yields simulated by the ALMANAC model showed reasonable agreement with the measured yields across all study locations, while the simulated yields of upland switchgrass ecotypes were overestimated in northern locations. In the second experiment, examination of different N fertilizer rates revealed switchgrass yield increases over the range of 0, 80, or 160 kg N ha −1 year −1 , while Mxg only showed yield increases between the low and medium N rates. This provides useful insights to crop management of two biofuel species and to enhance the predictive accuracy of process-based models, which are critical for developing bioenergy market systems in the SGP.

Suggested Citation

  • Sumin Kim & James R. Kiniry & Amber S. Williams & Norman Meki & Lewis Gaston & Melinda Brakie & Alan Shadow & Felix B. Fritschi & Yanqi Wu, 2017. "Adaptation of C 4 Bioenergy Crop Species to Various Environments within the Southern Great Plains of USA," Sustainability, MDPI, vol. 9(1), pages 1-17, January.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:1:p:89-:d:87439
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    References listed on IDEAS

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    1. Emily Heaton & Stephen Long & Thomas Voigt & Michael Jones & John Clifton-Brown, 2004. "Miscanthus for Renewable Energy Generation: European Union Experience and Projections for Illinois," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 9(4), pages 433-451, October.
    2. Kiniry, James R. & Williams, J. R. & Gassman, Philip W. & Debacke, P., 1992. "General, Process-Oriented Model for Two Competing Plant Species (A)," Staff General Research Papers Archive 483, Iowa State University, Department of Economics.
    3. Chih-Chun Kung & Hualin Xie & Tao Wu & Shih-Chih Chen, 2014. "Biofuel for Energy Security: An Examination on Pyrolysis Systems with Emissions from Fertilizer and Land-Use Change," Sustainability, MDPI, vol. 6(2), pages 1-18, January.
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    Cited by:

    1. Kim, Sumin & Kim, Sojung, 2023. "Optimization of the design of an agrophotovoltaic system in future climate conditions in South Korea," Renewable Energy, Elsevier, vol. 206(C), pages 928-938.

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