IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v9y2019i4p75-d222012.html

Effect of Heavy Rainfall Events on the Dry Matter Yield Trend of Whole Crop Maize ( Zea mays L.)

Author

Listed:
  • Moonju Kim

    (Institute of Animal Resources, Kangwon National University, Chuncheon 24341, Korea)

  • Befekadu Chemere

    (College of Animal Life Sciences, Kangwon National University, Chuncheon 24341, Korea)

  • Kyungil Sung

    (Department of Animal Industry Convergence, College of Animal Life Sciences, Kangwon National University, Chuncheon 24341, Korea)

Abstract

The objective of this study was to detect the historical dry matter yield (DMY) trend and to evaluate the effects of heavy rainfall events on the observed DMY trend of whole crop maize (WCM, Zea mays L.) using time-series analysis in Suwon, Republic of Korea. The climatic variables corresponding to the seeding to harvesting period, including the growing degree days, mean temperature, etc., of WCM along with the DMY data ( n = 543) during 1982–2011, were used in the analysis. The DMY trend was detected using Autoregressive Integrated Moving Average with the explanatory variables (ARIMAX) form of time-series trend analysis. The optimal DMY model was found to be ARIMAX (1, 1, 1), indicating that the DMY trend follows the mean DMY of the preceding one year and the residual of the preceding one year with an integration level of 1. Furthermore, the SHGDD and SHHR were determined to be the main variables responsible for the observed trend in the DMY of WCM. During heavy rainfall events, the DMY was found to be decreasing by 4745.27 kg/ha ( p < 0.01). Our analysis also revealed that both the intensity and frequency of heavy rainfall events have been increasing since 2005. The forecasted DMY indicates the potential decrease, which is expected to be 11,607 kg/ha by 2045. This study provided us evidence for the correlation between the DMY and heavy rainfall events that opens the way to provide solutions for challenges that summer forage crops face in the Republic of Korea.

Suggested Citation

  • Moonju Kim & Befekadu Chemere & Kyungil Sung, 2019. "Effect of Heavy Rainfall Events on the Dry Matter Yield Trend of Whole Crop Maize ( Zea mays L.)," Agriculture, MDPI, vol. 9(4), pages 1-11, April.
    • Handle: RePEc:gam:jagris:v:9:y:2019:i:4:p:75-:d:222012
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/9/4/75/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/9/4/75/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dixon, Bruce L. & Hollinger, Steven E. & Garcia, Philip & Tirupattur, Viswanath, 1994. "Estimating Corn Yield Response Models To Predict Impacts Of Climate Change," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(01), pages 1-11, July.
    2. Intergovernmental Panel on Climate Change IPCC, 2008. "Intergovernmental Panel on Climate Change: Fourth Assessment Report: Climate Change 2007: Synthesis Report," Working Papers id:1325, eSocialSciences.
    3. Befekadu Chemere & Jiyung Kim & Baehun Lee & Moonju Kim & Byongwan Kim & Kyungil Sung, 2018. "Detecting Long-Term Dry Matter Yield Trend of Sorghum-Sudangrass Hybrid and Climatic Factors Using Time Series Analysis in the Republic of Korea," Agriculture, MDPI, vol. 8(12), pages 1-10, December.
    4. Nam, Won-Ho & Hayes, Michael J. & Svoboda, Mark D. & Tadesse, Tsegaye & Wilhite, Donald A., 2015. "Drought hazard assessment in the context of climate change for South Korea," Agricultural Water Management, Elsevier, vol. 160(C), pages 106-117.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yongqing Zhao & Rendong Li & Juan Qiu & Xiangdong Sun & Lu Gao & Mingquan Wu, 2019. "Prediction of Human Brucellosis in China Based on Temperature and NDVI," IJERPH, MDPI, vol. 16(21), pages 1-15, November.
    2. Jinglun Peng & Moonju Kim & Kyungil Sung, 2020. "Yield Prediction Modeling for Sorghum–Sudangrass Hybrid Based on Climatic, Soil, and Cultivar Data in the Republic of Korea," Agriculture, MDPI, vol. 10(4), pages 1-11, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cai, Ruohong & Bergstrom, John C. & Mullen, Jeffrey D. & Wetzstein, Michael E. & Shurley, W. Donald, 2011. "Principal Component Analysis of Crop Yield Response to Climate Change," Faculty Series 103947, University of Georgia, Department of Agricultural and Applied Economics.
    2. Kamila Hodasová & Dávid Krčmář & Ivana Ondrejková, 2025. "Satellite-based drought assessment: integrating AHP method and fuzzy logic for comprehensive vulnerability and risk analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(10), pages 11609-11632, June.
    3. Zarsky, Lyuba, 2010. "Climate-Resilient Industrial Development Paths: Design Principles and Alternative Models," Working Papers 179080, Tufts University, Global Development and Environment Institute.
    4. Chhabra, Vibhuti & Bambery, Keith & Bhattacharya, Sankar & Shastri, Yogendra, 2020. "Thermal and in situ infrared analysis to characterise the slow pyrolysis of mixed municipal solid waste (MSW) and its components," Renewable Energy, Elsevier, vol. 148(C), pages 388-401.
    5. Wen, Shaoting & Buyukada, Musa & Evrendilek, Fatih & Liu, Jingyong, 2020. "Uncertainty and sensitivity analyses of co-combustion/pyrolysis of textile dyeing sludge and incense sticks: Regression and machine-learning models," Renewable Energy, Elsevier, vol. 151(C), pages 463-474.
    6. Tatàno, Fabio & Acerbi, Nadia & Monterubbiano, Chiara & Pretelli, Silvia & Tombari, Lucia & Mangani, Filippo, 2012. "Shoe manufacturing wastes: Characterisation of properties and recovery options," Resources, Conservation & Recycling, Elsevier, vol. 66(C), pages 66-75.
    7. Seeberg-Elverfeldt, Christina & Schwarze, Stefan & Zeller, Manfred, 2008. "Payments for environmental services : incentives through carbon sequestration compensation for cocoa-based agroforestry systems in Central Sulawesi, Indonesia," Research in Development Economics and Policy (Discussion Paper Series) 92827, Universitaet Hohenheim, Department of Agricultural Economics and Social Sciences in the Tropics and Subtropics.
    8. Kaiwen Li & Ming Wang & Kai Liu, 2021. "The Study on Compound Drought and Heatwave Events in China Using Complex Networks," Sustainability, MDPI, vol. 13(22), pages 1-15, November.
    9. Yun, Seong Do & Gramig, Benjamin M & Delgado, Michael S. & Florax, Raymond J.G.M., 2015. "Does Spatial Correlation Matter in Econometric Models of Crop Yield Response and Weather?," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205465, Agricultural and Applied Economics Association.
    10. Hong, Minki & Lee, Sang-Hyun & Lee, Seung-Jae & Choi, Jin-Yong, 2021. "Application of high-resolution meteorological data from NCAM-WRF to characterize agricultural drought in small-scale farmlands based on soil moisture deficit," Agricultural Water Management, Elsevier, vol. 243(C).
    11. Andrew, Jane & Kaidonis, Mary A. & Andrew, Brian, 2010. "Carbon tax: Challenging neoliberal solutions to climate change," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 21(7), pages 611-618.
    12. He, Xiaoping, 2015. "Regional differences in China's CO2 abatement cost," Energy Policy, Elsevier, vol. 80(C), pages 145-152.
    13. Omolola M. Adisa & Muthoni Masinde & Joel O. Botai & Christina M. Botai, 2020. "Bibliometric Analysis of Methods and Tools for Drought Monitoring and Prediction in Africa," Sustainability, MDPI, vol. 12(16), pages 1-22, August.
    14. Trnka, Miroslav & Vizina, Adam & Hanel, Martin & Balek, Jan & Fischer, Milan & Hlavinka, Petr & Semerádová, Daniela & Štěpánek, Petr & Zahradníček, Pavel & Skalák, Petr & Eitzinger, Josef & Dubrovský,, 2022. "Increasing available water capacity as a factor for increasing drought resilience or potential conflict over water resources under present and future climate conditions," Agricultural Water Management, Elsevier, vol. 264(C).
    15. Mark Colas & John M. Morehouse, 2022. "The environmental cost of land‐use restrictions," Quantitative Economics, Econometric Society, vol. 13(1), pages 179-223, January.
    16. Ibrahim Sufiyan & J.I. Magaji & A.T. Ogah & K. Karagama, 2020. "Evaluation And Impact Of Climatic Variability On Guinea Corn (Sorghum Bicolor) In Selected State In Nigeria," Environment & Ecosystem Science (EES), Zibeline International Publishing, vol. 4(1), pages 10-14, February.
    17. Lund, P.D., 2010. "Fast market penetration of energy technologies in retrospect with application to clean energy futures," Applied Energy, Elsevier, vol. 87(11), pages 3575-3583, November.
    18. Elizabeth Carabine & Emily Wilkinson, 2016. "How Can Local Governance Systems Strengthen Community Resilience? A Social-Ecological Systems Approach," Politics and Governance, Cogitatio Press, vol. 4(4), pages 62-73.
    19. Juárez-Torres, Miriam & Sánchez-Aragón, Leonardo & Vedenov, Dmitry, . "Weather Derivatives and Water Management in Developing Countries: An Application for an Irrigation District in Central Mexico," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 42(2).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:9:y:2019:i:4:p:75-:d:222012. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.