IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i4p3485-d1068094.html
   My bibliography  Save this article

Effects of Meteorological Conditions and Irrigation Levels during Different Growth Stages on Maize Yield in the Jing-Jin-Ji Region

Author

Listed:
  • Zhixiao Zou

    (Key Laboratory of Environmental Change and Natural Disaster, Beijing Normal University, Beijing 100875, China
    State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Changxiu Cheng

    (Key Laboratory of Environmental Change and Natural Disaster, Beijing Normal University, Beijing 100875, China
    State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Shi Shen

    (Key Laboratory of Environmental Change and Natural Disaster, Beijing Normal University, Beijing 100875, China
    State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

Abstract

Maize is a major crop that is particularly sensitive to climate change. In addition, the extreme shortage of water resources threatens crop production. Thus, improving the effective utilization rate of water is an important problem to discuss. In this regard, we quantified the combined effects of meteorological conditions and irrigation levels during different growth stages on city-level maize yields in the Jing-Jin-Ji region from 1993 to 2019. The results show that the sowing period was affected by the minimum temperature, while the other growth stages were affected by the maximum temperature. At the ear stage of summer maize, when the effective irrigation rate reached the average level (52%), the inflection point of the total precipitation was 401.42 mm in the Jing-Jin-Ji region. When the total precipitation was higher than 401.42 mm, the summer maize yield decreased with the increasing total precipitation. Furthermore, the summer maize growth was significantly affected by drought at the seedling stage. At high effective irrigation rates and over long dry spells, as the mean daily temperature during dry spells increased, the maize yield easily increased. The increase in the effective irrigation rate can reverse the decrease in the summer maize yield. Moreover, the effective irrigation rate increased the maize yield with the increase rise in the temperature during longer dry spells, but the maize yield decreased with warmer temperatures during shorter dry spells. As such, our evaluation results will be useful for assessing food security and moving gradually toward achieving a water–energy–food nexus.

Suggested Citation

  • Zhixiao Zou & Changxiu Cheng & Shi Shen, 2023. "Effects of Meteorological Conditions and Irrigation Levels during Different Growth Stages on Maize Yield in the Jing-Jin-Ji Region," Sustainability, MDPI, vol. 15(4), pages 1-11, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3485-:d:1068094
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/4/3485/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/4/3485/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yerli, Caner & Sahin, Ustun & Oztas, Taskin, 2022. "CO2 emission from soil in silage maize irrigated with wastewater under deficit irrigation in direct sowing practice," Agricultural Water Management, Elsevier, vol. 271(C).
    2. Tala Qtaishat, 2013. "Impact of Water Reallocation on the Economy in the Fertile Crescent," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(10), pages 3765-3774, August.
    3. Chengyi Huang & Sjoerd Willem Duiker & Liangji Deng & Conggang Fang & Weizhong Zeng, 2015. "Influence of Precipitation on Maize Yield in the Eastern United States," Sustainability, MDPI, vol. 7(5), pages 1-15, May.
    4. Chunyi Wang & Hans W. Linderholm & Yanling Song & Fang Wang & Yanju Liu & Jinfeng Tian & Jinxia Xu & Yingbo Song & Guoyu Ren, 2020. "Impacts of Drought on Maize and Soybean Production in Northeast China During the Past Five Decades," IJERPH, MDPI, vol. 17(7), pages 1-10, April.
    Full references (including those not matched with items on IDEAS)

    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. Zhang, Dongmei & Guo, Ping, 2016. "Integrated agriculture water management optimization model for water saving potential analysis," Agricultural Water Management, Elsevier, vol. 170(C), pages 5-19.
    2. Abigail Fitzgibbon & Dan Pisut & David Fleisher, 2022. "Evaluation of Maximum Entropy (Maxent) Machine Learning Model to Assess Relationships between Climate and Corn Suitability," Land, MDPI, vol. 11(9), pages 1-20, August.
    3. Hao, Baozhen & Ma, Jingli & Si, Shihua & Wang, Xiaojie & Wang, Shuli & Li, Fengmei & Jiang, Lina, 2024. "Response of grain yield and water productivity to plant density in drought-tolerant maize cultivar under irrigated and rainfed conditions," Agricultural Water Management, Elsevier, vol. 298(C).
    4. Shumin Han & Qiuli Hu & Yonghui Yang & Jiusheng Wang & Ping Wang & Quan Wang, 2015. "Characteristics and Driving Factors of Drainage Water in Irrigation Districts in Arid Areas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5323-5337, November.
    5. Manamboba Mitélama Balaka & Koffi Yovo, 2023. "Effet du changement climatique sur la production vivriere au Togo," African Development Review, African Development Bank, vol. 35(1), pages 11-23, March.
    6. Welikhe, Pauline & Essamuah-Quansah, Joseph & Boote, Kenneth & Asseng, Senthold & El Afandi, Gamal, 2016. "Impact of Climate Change on Corn Yields in Alabama," Professional Agricultural Workers Journal (PAWJ), Professional Agricultural Workers Conference, vol. 4(1), pages 1-16, October.
    7. Zhihui Li & Haowei Wu & Xiangzheng Deng, 2022. "Spatial Pattern of Water Footprints for Crop Production in Northeast China," Sustainability, MDPI, vol. 14(20), pages 1-13, October.
    8. Vuwani Makuya & Weldemichael Tesfuhuney & Mokhele E. Moeletsi & Zaid Bello, 2024. "Assessing the Impact of Agricultural Drought on Yield over Maize Growing Areas, Free State Province, South Africa, Using the SPI and SPEI," Sustainability, MDPI, vol. 16(11), pages 1-24, May.
    9. Hongpeng Guo & Sidong Xie & Chulin Pan, 2021. "The Impact of Planting Industry Structural Changes on Carbon Emissions in the Three Northeast Provinces of China," IJERPH, MDPI, vol. 18(2), pages 1-20, January.
    10. Viktória Benďáková & Henrietta Nagy & Natália Turčeková & Izabela Adamičková & Peter Bielik, 2024. "Assessing the Climate Change Impacts on Maize Production in the Slovak Republic and Their Relevance to Sustainability: A Case Study," Sustainability, MDPI, vol. 16(13), pages 1-21, June.
    11. Yerli, Caner & Sahin, Ustun & Ors, Selda & Kiziloglu, Fatih Mehmet, 2023. "Improvement of water and crop productivity of silage maize by irrigation with different levels of recycled wastewater under conventional and zero tillage conditions," Agricultural Water Management, Elsevier, vol. 277(C).
    12. Hengli Wang & Hong Liu & Danyang Wang, 2022. "Agricultural Insurance, Climate Change, and Food Security: Evidence from Chinese Farmers," Sustainability, MDPI, vol. 14(15), pages 1-17, August.
    13. Hengli Wang & Hong Liu & Rui Ma, 2022. "Assessment and Prediction of Grain Production Considering Climate Change and Air Pollution in China," Sustainability, MDPI, vol. 14(15), pages 1-22, July.
    14. Xuanwei Ning & Peipei Dong & Chengliang Wu & Yongliang Wang & Yang Zhang, 2022. "Influence Mechanisms of Dynamic Changes in Temperature, Precipitation, Sunshine Duration and Active Accumulated Temperature on Soybean Resources: A Case Study of Hulunbuir, China, from 1951 to 2019," Energies, MDPI, vol. 15(22), pages 1-19, November.

    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:jsusta:v:15:y:2023:i:4:p:3485-:d:1068094. 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.