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Maize (Zea mays L.) physiological responses to drought and rewatering, and the associations with water stress degree

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  • Cai, Fu
  • Zhang, Yushu
  • Mi, Na
  • Ming, Huiqing
  • Zhang, Shujie
  • Zhang, Hui
  • Zhao, Xianli

Abstract

A thorough understanding of the plant drought response mechanism and the relationships between plant functional traits and drought will help to improve the key biophysical process parameterization scheme in ecological and crop growth models. In this study, a drought level evaluation indicator, named water stress degree (Dws), was established by synthetically considering soil water content (WC), evapotranspiration, and drought duration to obtain a quantitative description of drought level. The maize physiological and functional traits responses to drought and subsequent rewatering were also investigated. Drought-rewatering field experiments with no water addition for 40 days during the vegetative period (VP) and reproductive period (RP) were respectively conducted at Jinzhou Agrometerological Experimental Station, northeast China in 2014 and 2016. The Dws values indicated that there were significant differences between growth stages and between years because the environmental conditions in 2014 and 2016 were different during the maize growth periods. Furthermore, Dws was larger in 2016 than in 2014 during the VP and RP. Leaf photosynthesis had a certain adaptability to drought, and the transpiration rate (E) drought response (DR) was quicker than the photosynthetic rate (Pn) response, and Pn recovery was greater than E recovery when the plants were rewatered during the VP. However, leaf photosynthesis is more sensitive to drought and less available to recover as normal in subsequent rewatering during the RP than the VP, which was intensified as Dws rose between 2014 and 2016. In addition, the leaf WC drought response was faster than the photosynthetic DR during the VP and RP, and leaf and stalk WCs responded more rapidly to drought during the VP than the RP. The decrease in ear WC during the earlier grouting period was larger in the VP than in the RP treatment. However, the drought-induced decrease in daily sap flow rate (DSF) during the RP was larger than during the VP, while the differences in DSF drought response and DSF recovery during rewatering were attributed to the inter-annual variation in Dws. Furthermore, the drought-caused reductions in leaf, stalk, and plant total dry matters and in leaf and stalk WCs had positively exponential or linear relationships with Dws. The results can help to understand the disaster-causing mechanism of drought-stricken maize.

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  • Cai, Fu & Zhang, Yushu & Mi, Na & Ming, Huiqing & Zhang, Shujie & Zhang, Hui & Zhao, Xianli, 2020. "Maize (Zea mays L.) physiological responses to drought and rewatering, and the associations with water stress degree," Agricultural Water Management, Elsevier, vol. 241(C).
    • Handle: RePEc:eee:agiwat:v:241:y:2020:i:c:s0378377420303036
    DOI: 10.1016/j.agwat.2020.106379
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    1. Gheysari, Mahdi & Sadeghi, Sayed-Hossein & Loescher, Henry W. & Amiri, Samia & Zareian, Mohammad Javad & Majidi, Mohammad M. & Asgarinia, Parvaneh & Payero, Jose O., 2017. "Comparison of deficit irrigation management strategies on root, plant growth and biomass productivity of silage maize," Agricultural Water Management, Elsevier, vol. 182(C), pages 126-138.
    2. Jiang, Xuelian & Kang, Shaozhong & Tong, Ling & Li, Sien & Ding, Risheng & Du, Taisheng, 2019. "Modeling evapotranspiration and its components of maize for seed production in an arid region of northwest China using a dual crop coefficient and multisource models," Agricultural Water Management, Elsevier, vol. 222(C), pages 105-117.
    3. Li, Yibo & Song, He & Zhou, Li & Xu, Zhenzhu & Zhou, Guangsheng, 2019. "Tracking chlorophyll fluorescence as an indicator of drought and rewatering across the entire leaf lifespan in a maize field," Agricultural Water Management, Elsevier, vol. 211(C), pages 190-201.
    4. Kigalu, Julius M., 2007. "Effects of planting density on the productivity and water use of tea (Camellia sinensis L.) clones: I. Measurement of water use in young tea using sap flow meters with a stem heat balance method," Agricultural Water Management, Elsevier, vol. 90(3), pages 224-232, June.
    5. Shi, Jianchu & Yasuor, Hagai & Yermiyahu, Uri & Zuo, Qiang & Ben-Gal, Alon, 2014. "Dynamic responses of wheat to drought and nitrogen stresses during re-watering cycles," Agricultural Water Management, Elsevier, vol. 146(C), pages 163-172.
    6. Nielsen, David C. & Vigil, Merle F. & Benjamin, Joseph G., 2009. "The variable response of dryland corn yield to soil water content at planting," Agricultural Water Management, Elsevier, vol. 96(2), pages 330-336, February.
    7. Du, Taisheng & Kang, Shaozhong & Sun, Jingsheng & Zhang, Xiying & Zhang, Jianhua, 2010. "An improved water use efficiency of cereals under temporal and spatial deficit irrigation in north China," Agricultural Water Management, Elsevier, vol. 97(1), pages 66-74, January.
    8. Jiang, Xuelian & Kang, Shaozhong & Li, Fusheng & Du, Taisheng & Tong, Ling & Comas, Louise, 2016. "Evapotranspiration partitioning and variation of sap flow in female and male parents of maize for hybrid seed production in arid region," Agricultural Water Management, Elsevier, vol. 176(C), pages 132-141.
    9. Katerji, Nader & Campi, Pasquale & Mastrorilli, Marcello, 2013. "Productivity, evapotranspiration, and water use efficiency of corn and tomato crops simulated by AquaCrop under contrasting water stress conditions in the Mediterranean region," Agricultural Water Management, Elsevier, vol. 130(C), pages 14-26.
    10. Green, Steve R. & Kirkham, M.B. & Clothier, Brent E., 2006. "Root uptake and transpiration: From measurements and models to sustainable irrigation," Agricultural Water Management, Elsevier, vol. 86(1-2), pages 165-176, November.
    11. Hussain, Mubshar & Farooq, Shahid & Hasan, Waseem & Ul-Allah, Sami & Tanveer, Mohsin & Farooq, Muhammad & Nawaz, Ahmad, 2018. "Drought stress in sunflower: Physiological effects and its management through breeding and agronomic alternatives," Agricultural Water Management, Elsevier, vol. 201(C), pages 152-166.
    12. Chabot, Rosanne & Bouarfa, Sami & Zimmer, Daniel & Chaumont, Cedric & Moreau, Sylvain, 2005. "Evaluation of the sap flow determined with a heat balance method to measure the transpiration of a sugarcane canopy," Agricultural Water Management, Elsevier, vol. 75(1), pages 10-24, July.
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    5. Roman Rolbiecki & Ali Yücel & Joanna Kocięcka & Atılgan Atilgan & Monika Marković & Daniel Liberacki, 2022. "Analysis of SPI as a Drought Indicator during the Maize Growing Period in the Çukurova Region (Turkey)," Sustainability, MDPI, vol. 14(6), pages 1-29, March.
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