IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v266y2022ics0378377422001135.html
   My bibliography  Save this article

Response of wheat and maize growth-yields to meteorological and agricultural droughts based on standardized precipitation evapotranspiration indexes and soil moisture deficit indexes

Author

Listed:
  • Yao, Ning
  • Li, Yi
  • Liu, Qingzhu
  • Zhang, Siyuan
  • Chen, Xinguo
  • Ji, Yadong
  • Liu, Fenggui
  • Pulatov, Alim
  • Feng, Puyu

Abstract

Drought is a natural hazard that may decrease agricultural production. To investigate crop growth and yield responses to drought conditions are vital for drought prevention during crop growth periods. This study aims to analyze the impacts of meteorological and agricultural droughts on wheat/maize yields from multiple perspectives and to select the key parameters which describe the best relationship between crop yield and drought indices. Using standardized precipitation evapotranspiration index (SPEI) and soil moisture deficit index (SMDI) at 1- to 9-month timescales, the drought characteristics of different crop growth periods at the selected 98 sites in different subregions were analyzed. DSSAT-CERES-Wheat/Maize models were used to simulate the leaf area index (LAI), biomass and yield of spring wheat, spring and summer maize over 1961 − 2018. The relationships between yield related factors and SPEI/SMDI0–10 at different timescales were investigated using Pearson correlation. The key timescale and growth period which showed the best correlations between crop yield/growth and SPEI/SMDI were determined and used to obtain the yield/growth equations using multivariable linear regression. The results showed that: (1) The temporal variations of SPEI and SMDI0–10 differed with different timescales, months and subregions. DSSAT-CERES generally performed well in simulating growth and yields of wheat and maize over 1961–2018. (2) For spring wheat, the correlations of yield and SMDI were highest at 3-month timescale in July, at 5-month timescale in July and at 3-month timescale in June in subregions I, II and IV, respectively. For spring maize, in subregion I, yield correlated with 1-month SPEI in June best), while yield was correlated largest with 4-month SPEI in August in subregion III and IV. For summer maize, the best correlations occurred in August between yield and 4-month SPEI. Therefore, different crop had varying key parameters for drought prevention measures. (3) The multivariable linear equations described yield/growth vs. drought indices relationship well for different crops. The results are referable for providing measures for agricultural production practice under drought.

Suggested Citation

  • Yao, Ning & Li, Yi & Liu, Qingzhu & Zhang, Siyuan & Chen, Xinguo & Ji, Yadong & Liu, Fenggui & Pulatov, Alim & Feng, Puyu, 2022. "Response of wheat and maize growth-yields to meteorological and agricultural droughts based on standardized precipitation evapotranspiration indexes and soil moisture deficit indexes," Agricultural Water Management, Elsevier, vol. 266(C).
    • Handle: RePEc:eee:agiwat:v:266:y:2022:i:c:s0378377422001135
    DOI: 10.1016/j.agwat.2022.107566
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377422001135
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2022.107566?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Corey Lesk & Pedram Rowhani & Navin Ramankutty, 2016. "Influence of extreme weather disasters on global crop production," Nature, Nature, vol. 529(7584), pages 84-87, January.
    2. Taotao Chen & Guimin Xia & Tiegang Liu & Wei Chen & Daocai Chi, 2016. "Assessment of Drought Impact on Main Cereal Crops Using a Standardized Precipitation Evapotranspiration Index in Liaoning Province, China," Sustainability, MDPI, vol. 8(10), pages 1-16, October.
    3. Xiao, Dengpan & Liu, De Li & Wang, Bin & Feng, Puyu & Bai, Huizi & Tang, Jianzhao, 2020. "Climate change impact on yields and water use of wheat and maize in the North China Plain under future climate change scenarios," Agricultural Water Management, Elsevier, vol. 238(C).
    4. Xiang, Keyu & Li, Yi & Horton, Robert & Feng, Hao, 2020. "Similarity and difference of potential evapotranspiration and reference crop evapotranspiration – a review," Agricultural Water Management, Elsevier, vol. 232(C).
    5. Chen, Xinguo & Li, Yi & Yao, Ning & Liu, De Li & Javed, Tehseen & Liu, Chuncheng & Liu, Fenggui, 2020. "Impacts of multi-timescale SPEI and SMDI variations on winter wheat yields," Agricultural Systems, Elsevier, vol. 185(C).
    6. Yang, Huicai & Wang, Huixiao & Fu, Guobin & Yan, Haiming & Zhao, Panpan & Ma, Meihong, 2017. "A modified soil water deficit index (MSWDI) for agricultural drought monitoring: Case study of Songnen Plain, China," Agricultural Water Management, Elsevier, vol. 194(C), pages 125-138.
    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. Yang, Shuhui & Li, Zhongkai & Zhou, Jianlin & Gao, Yancheng & Cui, Xuefeng, 2024. "Evolving patterns of agricultural production space in China: A network-based approach," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 5(1), pages 121-134.
    2. Yingnan Wei & Han Ru & Xiaolan Leng & Zhijian He & Olusola O. Ayantobo & Tehseen Javed & Ning Yao, 2022. "Better Performance of the Modified CERES-Wheat Model in Simulating Evapotranspiration and Wheat Growth under Water Stress Conditions," Agriculture, MDPI, vol. 12(11), pages 1-15, November.
    3. Qian, Long & Meng, Huayue & Chen, Xiaohong & Tang, Rong, 2023. "Evaluating agricultural drought and flood abrupt alternation: A case study of cotton in the middle-and-lower Yangtze River, China," Agricultural Water Management, Elsevier, vol. 283(C).
    4. Pei Yao & Long Qian & Zhaolin Wang & Huayue Meng & Xueliang Ju, 2022. "Assessing Drought, Flood, and High Temperature Disasters during Sugarcane Growth Stages in Southern China," Agriculture, MDPI, vol. 12(12), pages 1-18, December.
    5. Pilar Benito-Verdugo & José Martínez-Fernández & Ángel González-Zamora & Laura Almendra-Martín & Jaime Gaona & Carlos Miguel Herrero-Jiménez, 2023. "Impact of Agricultural Drought on Barley and Wheat Yield: A Comparative Case Study of Spain and Germany," Agriculture, MDPI, vol. 13(11), pages 1-20, November.
    6. Yao, Yuxia & Liao, Xingliang & Xiao, Junlan & He, Qiulan & Shi, Weiyu, 2023. "The sensitivity of maize evapotranspiration to vapor pressure deficit and soil moisture with lagged effects under extreme drought in Southwest China," Agricultural Water Management, Elsevier, vol. 277(C).

    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, Ziya & Li, Yi & Chen, Xinguo & Wang, Yanzi & Niu, Ben & Liu, De Li & He, Jianqiang & Pulatov, Bakhtiyor & Hassan, Ishtiaq & Meng, Qingtao, 2023. "Impact of climate change and planting date shifts on growth and yields of double cropping rice in southeastern China in future," Agricultural Systems, Elsevier, vol. 205(C).
    2. Tan, Lili & Feng, Puyu & Li, Baoguo & Huang, Feng & Liu, De Li & Ren, Pinpin & Liu, Haipeng & Srinivasan, Raghavan & Chen, Yong, 2022. "Climate change impacts on crop water productivity and net groundwater use under a double-cropping system with intensive irrigation in the Haihe River Basin, China," Agricultural Water Management, Elsevier, vol. 266(C).
    3. Chen, Xinguo & Li, Yi & Yao, Ning & Liu, De Li & Javed, Tehseen & Liu, Chuncheng & Liu, Fenggui, 2020. "Impacts of multi-timescale SPEI and SMDI variations on winter wheat yields," Agricultural Systems, Elsevier, vol. 185(C).
    4. He, Liuyue & Xu, Zhenci & Wang, Sufen & Bao, Jianxia & Fan, Yunfei & Daccache, Andre, 2022. "Optimal crop planting pattern can be harmful to reach carbon neutrality: Evidence from food-energy-water-carbon nexus perspective," Applied Energy, Elsevier, vol. 308(C).
    5. El-Saied E. Metwaly & Hatim M. Al-Yasi & Esmat F. Ali & Hamada A. Farouk & Saad Farouk, 2022. "Deteriorating Harmful Effects of Drought in Cucumber by Spraying Glycinebetaine," Agriculture, MDPI, vol. 12(12), pages 1-16, December.
    6. Chrisendo, Daniel, 2023. "Gender-based discrimination and global crop yield," 2023 Annual Meeting, July 23-25, Washington D.C. 335489, Agricultural and Applied Economics Association.
    7. N. Zhang & H. Huang, 2018. "Assessment of world disaster severity processed by Gaussian blur based on large historical data: casualties as an evaluating indicator," 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. 92(1), pages 173-187, May.
    8. Liu, Zhipeng & Jiao, Xiyun & Zhu, Chengli & Katul, Gabriel G. & Ma, Junyong & Guo, Weihua, 2021. "Micro-climatic and crop responses to micro-sprinkler irrigation," Agricultural Water Management, Elsevier, vol. 243(C).
    9. Teresa Armada Brás & Jonas Jägermeyr & Júlia Seixas, 2019. "Exposure of the EU-28 food imports to extreme weather disasters in exporting countries," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(6), pages 1373-1393, December.
    10. Islam, AFM Tariqul & Islam, AKM Saiful & Islam, GM Tarekul & Bala, Sujit Kumar & Salehin, Mashfiqus & Choudhury, Apurba Kanti & Dey, Nepal C. & Hossain, Akbar, 2022. "Adaptation strategies to increase water productivity of wheat under changing climate," Agricultural Water Management, Elsevier, vol. 264(C).
    11. Singh, Kuntal & McClean, Colin J. & Büker, Patrick & Hartley, Sue E. & Hill, Jane K., 2017. "Mapping regional risks from climate change for rainfed rice cultivation in India," Agricultural Systems, Elsevier, vol. 156(C), pages 76-84.
    12. Yusifzada, Tural, 2022. "Response of Inflation to the Climate Stress: Evidence from Azerbaijan," MPRA Paper 116522, University Library of Munich, Germany, revised 20 Sep 2022.
    13. Dániel Fróna & János Szenderák & Mónika Harangi-Rákos, 2019. "The Challenge of Feeding the World," Sustainability, MDPI, vol. 11(20), pages 1-18, October.
    14. Phetheet, Jirapat & Hill, Mary C. & Barron, Robert W. & Gray, Benjamin J. & Wu, Hongyu & Amanor-Boadu, Vincent & Heger, Wade & Kisekka, Isaya & Golden, Bill & Rossi, Matthew W., 2021. "Relating agriculture, energy, and water decisions to farm incomes and climate projections using two freeware programs, FEWCalc and DSSAT," Agricultural Systems, Elsevier, vol. 193(C).
    15. Francisco Costa & Fabien Forge & Jason Garred & João Paulo Pessoa, 2023. "The Impact of Climate Change on Risk and Return in Indian Agriculture," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(1), pages 1-27, May.
    16. Cunha, Angélica Carvalho & Filho, Luís Roberto Almeida Gabriel & Tanaka, Adriana Aki & Goes, Bruno Cesar & Putti, Fernando Ferrari, 2021. "Influence Of The Estimated Global Solar Radiation On The Reference Evapotranspiration Obtained Through The Penman-Monteith Fao 56 Method," Agricultural Water Management, Elsevier, vol. 243(C).
    17. Balázs Varga & Zsuzsanna Farkas & Emese Varga-László & Gyula Vida & Ottó Veisz, 2022. "Elevated Atmospheric CO 2 Concentration Influences the Rooting Habits of Winter-Wheat ( Triticum aestivum L.) Varieties," Sustainability, MDPI, vol. 14(6), pages 1-14, March.
    18. 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.
    19. Alejandro del Pozo & Nidia Brunel-Saldias & Alejandra Engler & Samuel Ortega-Farias & Cesar Acevedo-Opazo & Gustavo A. Lobos & Roberto Jara-Rojas & Marco A. Molina-Montenegro, 2019. "Climate Change Impacts and Adaptation Strategies of Agriculture in Mediterranean-Climate Regions (MCRs)," Sustainability, MDPI, vol. 11(10), pages 1-16, May.
    20. Shahzad, Muhammad Faisal & Abdulai, Awudu, 2020. "Adaptation to extreme weather conditions and farm performance in rural Pakistan," Agricultural Systems, Elsevier, vol. 180(C).

    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:eee:agiwat:v:266:y:2022:i:c:s0378377422001135. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    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.