IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v306y2024ics0378377424004724.html
   My bibliography  Save this article

Influences of residual stomatal conductance on the intrinsic water use efficiency of two C3 and two C4 species

Author

Listed:
  • Ye, Zi Piao
  • He, Jian Qiang
  • An, Ting
  • Duan, Shi Hua
  • Kang, Hua Jing
  • Wang, Fu Biao

Abstract

Intrinsic water use efficiency (WUEi) is a critical parameter that encapsulates the equilibrium between carbon assimilation and the concomitant water expenditure. Enhancing the WUEi of crops is not only instrumental in bolstering their resilience to drought but also enables higher carbon fixation efficiency under conditions of scarce water resources. Improving the WUEi of crop varieties has become a major goal because water has become a critical limiting factor in crop productivity within the context of global change. The WUEi, traditionally calculated by WUEi=(Ca−Ci)/1.6(Ca, atmospheric CO2 concentration; Ci, intercellular CO2 concentration), may vary from that derived from WUEi=A/gsw(A, net photosynthetic rate; gsw, stomatal conductance to water vapor). In the study, the LI-6400 portable photosynthesis system was used for monitoring the leaf gas exchange of two C3 (soybean and wheat) and two C4 (maize and grain amaranth) species under changing irradiance (I) and CO2 concentration conditions. One paired-sample t test was used to compare the significant differences between WUEi values calculated by different equations and the observed values. The results showed that WUEi=(Ca−Ci)/1.6 significantly overestimated the calculated WUEi values than their corresponding observations by at least 17.78 %, 23.20 %, 9.07 %, and 14.26 % in light-response of WUEi (WUEi–I) and by at least 23.28 %, 22.02 %, 13.44 %, and 12.59 % in CO2-response of WUEi (WUEi–Ci) curves for soybean, wheat, maize, and grain amaranth, respectively. However, the relationship between net photosynthetic rate (A) and stomatal conductance to CO2 (gsc) can be improved by incorporating an empirical slope (g1) and residual stomatal conductance (g0), which can be characterized asA=(gsc–g0)(Ca–Ci)/g1. Consequently, WUEi can be calculated by WUEi=11.6g1(1−1.6g0gsw)(Ca−Ci). It is highlighted that this modified equation can not only more accurately characterize the WUEi in responses to varying I and CO2 concentration conditions but also yields a remarkably high coefficient of determination (R2 > 0.989) for the four species. These findings will provide plant physiologists and agronomists with a precise calculation tool to better understand and optimize crop water use efficiency in the face of environmental challenges.

Suggested Citation

  • Ye, Zi Piao & He, Jian Qiang & An, Ting & Duan, Shi Hua & Kang, Hua Jing & Wang, Fu Biao, 2024. "Influences of residual stomatal conductance on the intrinsic water use efficiency of two C3 and two C4 species," Agricultural Water Management, Elsevier, vol. 306(C).
  • Handle: RePEc:eee:agiwat:v:306:y:2024:i:c:s0378377424004724
    DOI: 10.1016/j.agwat.2024.109136
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377424004724
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2024.109136?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Farooq, Muhammad & Hussain, Mubshar & Ul-Allah, Sami & Siddique, Kadambot H.M., 2019. "Physiological and agronomic approaches for improving water-use efficiency in crop plants," Agricultural Water Management, Elsevier, vol. 219(C), pages 95-108.
    2. França, Ana Carolina Ferreira & Coelho, Rubens Duarte & da Silva Gundim, Alice & de Oliveira Costa, Jéfferson & Quiloango-Chimarro, Carlos Alberto, 2024. "Effects of different irrigation scheduling methods on physiology, yield, and irrigation water productivity of soybean varieties," Agricultural Water Management, Elsevier, vol. 293(C).
    3. Wellens, Joost & Raes, Dirk & Fereres, Elias & Diels, Jan & Coppye, Cecilia & Adiele, Joy Geraldine & Ezui, Kodjovi Senam Guillaume & Becerra, Luis-Augusto & Selvaraj, Michael Gomez & Dercon, Gerd & H, 2022. "Calibration and validation of the FAO AquaCrop water productivity model for cassava (Manihot esculenta Crantz)," Agricultural Water Management, Elsevier, vol. 263(C).
    4. Wei, Zhenhua & Abdelhakim, Lamis Osama Anwar & Fang, Liang & Peng, Xiaoying & Liu, Jie & Liu, Fulai, 2022. "Elevated CO2 effect on the response of stomatal control and water use efficiency in amaranth and maize plants to progressive drought stress," Agricultural Water Management, Elsevier, vol. 266(C).
    5. Jia, Qianmin & Xu, Ranran & Chang, Shenghua & Zhang, Cheng & Liu, Yongjie & Shi, Wei & Peng, Zechen & Hou, Fujiang, 2020. "Planting practices with nutrient strategies to improves productivity of rain-fed corn and resource use efficiency in semi-arid regions," Agricultural Water Management, Elsevier, vol. 228(C).
    6. Yu, Liuyang & Gao, Xiaodong & Zhao, Xining, 2020. "Global synthesis of the impact of droughts on crops’ water-use efficiency (WUE): Towards both high WUE and productivity," Agricultural Systems, Elsevier, vol. 177(C).
    7. Moreno-Ortega, G. & Pliego, C. & Sarmiento, D. & Barceló, A. & Martínez-Ferri, E., 2019. "Yield and fruit quality of avocado trees under different regimes of water supply in the subtropical coast of Spain," Agricultural Water Management, Elsevier, vol. 221(C), pages 192-201.
    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. Yang, Shanshan & Zhang, Jiahua & Wang, Jingwen & Zhang, Sha & Bai, Yun & Shi, Siqi & Cao, Dan, 2022. "Spatiotemporal variations of water productivity for cropland and driving factors over China during 2001–2015," Agricultural Water Management, Elsevier, vol. 262(C).
    2. Qian Li & Yan Chen & Shikun Sun & Muyuan Zhu & Jing Xue & Zihan Gao & Jinfeng Zhao & Yihe Tang, 2022. "Research on Crop Irrigation Schedules Under Deficit Irrigation—A Meta-analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(12), pages 4799-4817, September.
    3. Tuchapong Suwongsa & Kongpol Areerak & Kongpan Areerak & Jakkrit Pakdeeto, 2021. "Energy Saving Approach for an Electric Pump Using a Fuzzy Controller," Energies, MDPI, vol. 14(11), pages 1-14, June.
    4. Belén Cárceles Rodríguez & Víctor Hugo Durán Zuazo & Dionisio Franco Tarifa & Simón Cuadros Tavira & Pedro Cermeño Sacristan & Iván Francisco García-Tejero, 2023. "Irrigation Alternatives for Avocado ( Persea americana Mill.) in the Mediterranean Subtropical Region in the Context of Climate Change: A Review," Agriculture, MDPI, vol. 13(5), pages 1-27, May.
    5. França, Ana Carolina Ferreira & Coelho, Rubens Duarte & da Silva Gundim, Alice & de Oliveira Costa, Jéfferson & Quiloango-Chimarro, Carlos Alberto, 2024. "Effects of different irrigation scheduling methods on physiology, yield, and irrigation water productivity of soybean varieties," Agricultural Water Management, Elsevier, vol. 293(C).
    6. Messay Abera & Mekete Dessie & Hailu Kendie Addis & Desale Kidane Asmamaw, 2025. "Modeling Maize Production and Water Productivity Under Deficit Irrigation and Mulching as Sustainable Agricultural Water Management Strategies in Semiarid Areas," Sustainability, MDPI, vol. 17(4), pages 1-26, February.
    7. Espoir Mukengere Bagula & Jackson-Gilbert Mwanjalolo Majaliwa & Twaha Ali Basamba & Jean-Gomez Mubalama Mondo & Bernard Vanlauwe & Geofrey Gabiri & John-Baptist Tumuhairwe & Gustave Nachigera Mushagal, 2022. "Water Use Efficiency of Maize ( Zea mays L.) Crop under Selected Soil and Water Conservation Practices along the Slope Gradient in Ruzizi Watershed, Eastern D.R. Congo," Land, MDPI, vol. 11(10), pages 1-20, October.
    8. Vimbayi Grace Petrova Chimonyo & Tendai Polite Chibarabada & Dennis Junior Choruma & Richard Kunz & Sue Walker & Festo Massawe & Albert Thembinkosi Modi & Tafadzwanashe Mabhaudhi, 2022. "Modelling Neglected and Underutilised Crops: A Systematic Review of Progress, Challenges, and Opportunities," Sustainability, MDPI, vol. 14(21), pages 1-19, October.
    9. Ricardo Flores-Marquez & Jesús Vera-Vílchez & Patricia Verástegui-Martínez & Sphyros Lastra & Richard Solórzano-Acosta, 2024. "An Evaluation of Dryland Ulluco Cultivation Yields in the Face of Climate Change Scenarios in the Central Andes of Peru by Using the AquaCrop Model," Sustainability, MDPI, vol. 16(13), pages 1-22, June.
    10. Xian Liu & Yueyue Xu & Shikun Sun & Xining Zhao & Yubao Wang, 2022. "Analysis of the Coupling Characteristics of Water Resources and Food Security: The Case of Northwest China," Agriculture, MDPI, vol. 12(8), pages 1-19, July.
    11. Pasquale Garofalo & Anna Rita Bernadette Cammerino, 2025. "Modeling the Performance of a Continuous Durum Wheat Cropping System in a Mediterranean Environment: Carbon and Water Footprint at Different Sowing Dates, Under Rainfed and Irrigated Water Regimes," Agriculture, MDPI, vol. 15(3), pages 1-30, January.
    12. Ru, Chen & Hu, Xiaotao & Wang, Wene & Yan, Hui, 2024. "Impact of nitrogen on photosynthesis, remobilization, yield, and efficiency in winter wheat under heat and drought stress," Agricultural Water Management, Elsevier, vol. 302(C).
    13. Kourgialas, Nektarios N. & Dokou, Zoi, 2021. "Water management and salinity adaptation approaches of Avocado trees: A review for hot-summer Mediterranean climate," Agricultural Water Management, Elsevier, vol. 252(C).
    14. Bitopi Biswas & Mohammad Tariful Alam Khan & Mohammad Billal Hossain Momen & Mohammad. Rashedur Rahman Tanvir & Abu Mohammad Shahidul Alam & M Robiul Islam Islam, 2024. "Advancements in fuzzy expert systems for site-specific nitrogen fertilisation: Incorporating RGB colour codes and irrigation schedules for precision maize production in Bangladesh," Research in Agricultural Engineering, Czech Academy of Agricultural Sciences, vol. 70(3), pages 155-166.
    15. Nathan Felipe da Silva Caldana & Pablo Ricardo Nitsche & Alan Carlos Martelócio & Anderson Paulo Rudke & Geovanna Cristina Zaro & Luiz Gustavo Batista Ferreira & Paulo Vicente Contador Zaccheo & Sergi, 2019. "Agroclimatic Risk Zoning of Avocado ( Persea americana ) in the Hydrographic Basin of Paraná River III, Brazil," Agriculture, MDPI, vol. 9(12), pages 1-11, December.
    16. Victoria Junquera & Daniel I. Rubenstein & Simon A. Levin & Jos'e I. Hormaza & I~naki Vadillo P'erez & Pablo Jim'enez Gavil'an, 2024. "Hydrological collapse in southern Spain under expanding irrigated agriculture: Meteorological, hydrological, and structural drought," Papers 2408.00683, arXiv.org.
    17. Hao, Longbin & Zhang, Shouhong & Zhang, Fan & Ren, Yufei & Zhang, Xinyu & Yan, Jing, 2025. "Balancing water saving, market attractiveness, and pollution control in crop spatial planting structure planning of arid regions," Agricultural Water Management, Elsevier, vol. 309(C).
    18. Yuzhao Ma & Naikun Kuang & Shengzhe Hong & Fengli Jiao & Changyuan Liu & Quanqi Li, 2021. "Water productivity of two wheat genotypes in response to no-tillage in the North China Plain," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 67(4), pages 236-244.
    19. Eltarabily, Mohamed Galal & Mohamed, Abdelmoneim Zakaria & Begna, Sultan & Wang, Dong & Putnam, Daniel H. & Scudiero, Elia & Bali, Khaled M., 2024. "Simulated soil water distribution patterns and water use of Alfalfa under different subsurface drip irrigation depths," Agricultural Water Management, Elsevier, vol. 293(C).
    20. Wang, Qunyan & Jia, Yifan & Pang, Zhongjun & Zhou, Jianbin & Scriber, Kevin Emmanuel & Liang, Bin & Chen, Zhujun, 2024. "Intelligent fertigation improves tomato yield and quality and water and nutrient use efficiency in solar greenhouse production," Agricultural Water Management, Elsevier, vol. 298(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    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:eee:agiwat:v:306:y:2024:i:c:s0378377424004724. 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.