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The contribution of solar brightening to the US maize yield trend

Author

Listed:
  • Matthijs Tollenaar
  • Jon Fridgen

    (Advanced Agrilytics)

  • Priyanka Tyagi

    (North Carolina State University)

  • Paul W. Stackhouse Jr

    (NASA Langley Research Center)

  • Saratha Kumudini

Abstract

Gains in maize yield from the US Corn Belt have been attributed to agricultural technologies. A study now shows that solar brightening was responsible for approximately 27% of yield growth from 1984 to 2013.

Suggested Citation

  • Matthijs Tollenaar & Jon Fridgen & Priyanka Tyagi & Paul W. Stackhouse Jr & Saratha Kumudini, 2017. "The contribution of solar brightening to the US maize yield trend," Nature Climate Change, Nature, vol. 7(4), pages 275-278, April.
    • Handle: RePEc:nat:natcli:v:7:y:2017:i:4:d:10.1038_nclimate3234
    DOI: 10.1038/nclimate3234
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    Cited by:

    1. Qu, Ziren & Luo, Ning & Guo, Jiameng & Xu, Jie & Wang, Pu & Meng, Qingfeng, 2024. "Enhancing sustainability in the new variety-based low emergy system for maize production by nitrogen optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    2. Jiang, Hou & Lu, Ning & Huang, Guanghui & Yao, Ling & Qin, Jun & Liu, Hengzi, 2020. "Spatial scale effects on retrieval accuracy of surface solar radiation using satellite data," Applied Energy, Elsevier, vol. 270(C).
    3. Paolo Agnolucci & Vincenzo De Lipsis, 2020. "Long-run trend in agricultural yield and climatic factors in Europe," Climatic Change, Springer, vol. 159(3), pages 385-405, April.
    4. Tian Han & Ying Wang & Xiao Wang & Kang Chen & Huaiwu Peng & Zhenxin Gao & Lanxin Cui & Wentong Sun & Qinke Peng, 2023. "Mixed Multi-Pattern Regression for DNI Prediction in Arid Desert Areas," Sustainability, MDPI, vol. 15(17), pages 1-16, August.
    5. Qimeng Pan & Lysa Porth & Hong Li, 2022. "Assessing the Effectiveness of the Actuaries Climate Index for Estimating the Impact of Extreme Weather on Crop Yield and Insurance Applications," Sustainability, MDPI, vol. 14(11), pages 1-24, June.
    6. Junjun Cao & Guoyong Leng & Peng Yang & Qingbo Zhou & Wenbin Wu, 2022. "Variability in Crop Response to Spatiotemporal Variation in Climate in China, 1980–2014," Land, MDPI, vol. 11(8), pages 1-13, July.
    7. Wang, Hong & Sun, Fubao & Wang, Tingting & Liu, Wenbin, 2018. "Estimation of daily and monthly diffuse radiation from measurements of global solar radiation a case study across China," Renewable Energy, Elsevier, vol. 126(C), pages 226-241.
    8. Yuhe Ji & Guangsheng Zhou & Qijin He & Lixia Wang, 2018. "The Effect of Climate Change on Spring Maize ( Zea mays L.) Suitability across China," Sustainability, MDPI, vol. 10(10), pages 1-10, October.
    9. Shan Yu & Aaron M. Kusmec & Li Wang & Dan Nettleton, 2023. "Fusion Learning of Functional Linear Regression with Application to Genotype-by-Environment Interaction Studies," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 28(3), pages 401-422, September.
    10. Magdalena Cornejo & Nicolás Merener & Ezequiel Merovich, 2024. "Extreme Dry Spells and Larger Storms in the U.S. Midwest Raise Crop Prices," Working Papers 303, Red Nacional de Investigadores en Economía (RedNIE).
    11. Ortiz-Bobea, Ariel & Tack, Jesse B., 2018. "Another genetic yield revolution is needed to offset climate change effects on U.S. maize," 2018 Annual Meeting, August 5-7, Washington, D.C. 274380, Agricultural and Applied Economics Association.
    12. Paulo M. M. Rodrigues & Mirjam Salish & Nazarii Salish, 2024. "Saving for sunny days: The impact of climate (change) on consumer prices in the euro area," Papers 2401.03740, arXiv.org.

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