IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v15y2025i18p1911-d1745613.html
   My bibliography  Save this article

Dynamics and Determinants of Maize Sap Flow Under Soil Compaction in the Black Soil Region of Northeast China

Author

Listed:
  • Xiangming Zhu

    (State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin 150081, China)

  • Enhua Ran

    (State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin 150081, China)

  • Wei Peng

    (State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin 150081, China)

  • Xiangyu Zhao

    (State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin 150081, China)

  • Tianhao Wang

    (State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin 150081, China)

  • Qingyang Xie

    (State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin 150081, China)

Abstract

Soil compaction is considered as one of the main factors limiting plant growth. Understanding the variation in sap flow affected by soil compaction is of vital importance for precision agriculture. In this study, a two-year field experiment with three levels of soil compaction (i.e., NC, no compaction; MC, moderate compaction; and SC, severe compaction) was conducted in the black soil region of Northeast China. Results revealed that soil compaction had a significant impact on soil properties, soil water content, and plant growth parameters, which ultimately affected the sap flow rate of maize. The average daily sap flow rates of MC and SC decreased by 15.89% and 29.12% in comparison to those of NC in 2023, and decreased by 51.53% and 57.11% in comparison to those of NC in 2024, respectively. Net radiation and vapor pressure deficit were the two most important meteorological variables affecting sap flow rate. In addition, the relationship between sap flow rate and meteorological variables was independent of the level of soil compaction stress. Daily sap flow rate exhibited a strong linear relationship with leaf area index and stem diameter, but showed no significant correlation with plant height. Additionally, daily sap flow rate was well correlated with root length density in the 0–60 cm soil layer. Furthermore, daily sap flow rate was significantly affected by soil water content of the 0–60 cm soil layer, but there was no significant correlation between daily sap flow rate and penetration resistance. Moreover, cumulative sap flow rate was negatively correlated with soil bulk density in both the top layer (0–20 cm) and sub-layer (20–40 cm). Our results provide a scientific basis for understanding the relationship between maize sap flow and soil compaction. More precise and systematic characterization of soil compaction, especially in relation to root growth, is needed to explore the underlying mechanisms of soil compaction on plant sap flow in the future.

Suggested Citation

  • Xiangming Zhu & Enhua Ran & Wei Peng & Xiangyu Zhao & Tianhao Wang & Qingyang Xie, 2025. "Dynamics and Determinants of Maize Sap Flow Under Soil Compaction in the Black Soil Region of Northeast China," Agriculture, MDPI, vol. 15(18), pages 1-15, September.
  • Handle: RePEc:gam:jagris:v:15:y:2025:i:18:p:1911-:d:1745613
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/15/18/1911/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/15/18/1911/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhang, Yanqun & Kang, Shaozhong & Ward, Eric J. & Ding, Risheng & Zhang, Xin & Zheng, Rui, 2011. "Evapotranspiration components determined by sap flow and microlysimetry techniques of a vineyard in northwest China: Dynamics and influential factors," Agricultural Water Management, Elsevier, vol. 98(8), pages 1207-1214, May.
    2. Han, Ming & Zhang, Huihui & DeJonge, Kendall C. & Comas, Louise H. & Gleason, Sean, 2018. "Comparison of three crop water stress index models with sap flow measurements in maize," Agricultural Water Management, Elsevier, vol. 203(C), pages 366-375.
    3. 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.
    4. Zhao, Peng & Li, Sien & Li, Fusheng & Du, Taisheng & Tong, Ling & Kang, Shaozhong, 2015. "Comparison of dual crop coefficient method and Shuttleworth–Wallace model in evapotranspiration partitioning in a vineyard of northwest China," Agricultural Water Management, Elsevier, vol. 160(C), pages 41-56.
    5. Hou, Lizhu & Wenninger, Jochen & Shen, Jiangen & Zhou, Yangxiao & Bao, Han & Liu, Haijun, 2014. "Assessing crop coefficients for Zea mays in the semi-arid Hailiutu River catchment, northwest China," Agricultural Water Management, Elsevier, vol. 140(C), pages 37-47.
    6. Capurro, Maria C. & Ham, Jay M. & Kluitenberg, Gerard J. & Comas, Louise & Andales, Allan A., 2024. "A novel sap flow system to measure maize transpiration using a heat pulse method," Agricultural Water Management, Elsevier, vol. 301(C).
    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. 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.
    2. Zhao, Peng & Kang, Shaozhong & Li, Sien & Ding, Risheng & Tong, Ling & Du, Taisheng, 2018. "Seasonal variations in vineyard ET partitioning and dual crop coefficients correlate with canopy development and surface soil moisture," Agricultural Water Management, Elsevier, vol. 197(C), pages 19-33.
    3. Ran, Hui & Kang, Shaozhong & Li, Fusheng & Tong, Ling & Ding, Risheng & Du, Taisheng & Li, Sien & Zhang, Xiaotao, 2017. "Performance of AquaCrop and SIMDualKc models in evapotranspiration partitioning on full and deficit irrigated maize for seed production under plastic film-mulch in an arid region of China," Agricultural Systems, Elsevier, vol. 151(C), pages 20-32.
    4. Feng, Yu & Gong, Daozhi & Mei, Xurong & Hao, Weiping & Tang, Dahua & Cui, Ningbo, 2017. "Energy balance and partitioning in partial plastic mulched and non-mulched maize fields on the Loess Plateau of China," Agricultural Water Management, Elsevier, vol. 191(C), pages 193-206.
    5. Han, Ming & Zhang, Huihui & DeJonge, Kendall C. & Comas, Louise H. & Gleason, Sean, 2018. "Comparison of three crop water stress index models with sap flow measurements in maize," Agricultural Water Management, Elsevier, vol. 203(C), pages 366-375.
    6. Wu, Youjie & Du, Taisheng & Ding, Risheng & Yuan, Yusen & Li, Sien & Tong, Ling, 2017. "An isotope method to quantify soil evaporation and evaluate water vapor movement under plastic film mulch," Agricultural Water Management, Elsevier, vol. 184(C), pages 59-66.
    7. Zheng, Jing & Fan, Junliang & Zhang, Fucang & Zhuang, Qianlai, 2021. "Evapotranspiration partitioning and water productivity of rainfed maize under contrasting mulching conditions in Northwest China," Agricultural Water Management, Elsevier, vol. 243(C).
    8. Qiu, Rangjian & Liu, Chunwei & Cui, Ningbo & Wu, Youjie & Wang, Zhenchang & Li, Gen, 2019. "Evapotranspiration estimation using a modified Priestley-Taylor model in a rice-wheat rotation system," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    9. Qin, Shujing & Li, Sien & Cheng, Lei & Zhang, Lu & Qiu, Rangjian & Liu, Pan & Xi, Haiyang, 2023. "Partitioning evapotranspiration in partially mulched interplanted croplands by improving the Shuttleworth-Wallace model," Agricultural Water Management, Elsevier, vol. 276(C).
    10. Liu, Minguo & Wu, Xiaojuan & Yang, Huimin, 2022. "Evapotranspiration characteristics and soil water balance of alfalfa grasslands under regulated deficit irrigation in the inland arid area of Midwestern China," Agricultural Water Management, Elsevier, vol. 260(C).
    11. Venturin, Afonso Zucolotto & Guimarães, Claudinei Martins & Sousa, Elias Fernandes de & Machado Filho, José Altino & Rodrigues, Weverton Pereira & Serrazine, Ícaro de Araujo & Bressan-Smith, Ricardo &, 2020. "Using a crop water stress index based on a sap flow method to estimate water status in conilon coffee plants," Agricultural Water Management, Elsevier, vol. 241(C).
    12. Yang Yu & Jesús Rodrigo-Comino, 2021. "Analyzing Regional Geographic Challenges: The Resilience of Chinese Vineyards to Land Degradation Using a Societal and Biophysical Approach," Land, MDPI, vol. 10(2), pages 1-15, February.
    13. Wang, Shangtao & Zhu, Gaofeng & Xia, Dunsheng & Ma, Jinzhu & Han, Tuo & Ma, Ting & Zhang, Kun & Shang, Shasha, 2019. "The characteristics of evapotranspiration and crop coefficients of an irrigated vineyard in arid Northwest China," Agricultural Water Management, Elsevier, vol. 212(C), pages 388-398.
    14. 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.
    15. Zheng, Jing & Fan, Junliang & Zhang, Fucang & Wu, Lifeng & Zou, Yufeng & Zhuang, Qianlai, 2021. "Estimation of rainfed maize transpiration under various mulching methods using modified Jarvis-Stewart model and hybrid support vector machine model with whale optimization algorithm," Agricultural Water Management, Elsevier, vol. 249(C).
    16. Capurro, Maria C. & Ham, Jay M. & Kluitenberg, Gerard J. & Comas, Louise & Andales, Allan A., 2024. "A novel sap flow system to measure maize transpiration using a heat pulse method," Agricultural Water Management, Elsevier, vol. 301(C).
    17. Yang, Danni & Li, Sien & Kang, Shaozhong & Du, Taisheng & Guo, Ping & Mao, Xiaomin & Tong, Ling & Hao, Xinmei & Ding, Risheng & Niu, Jun, 2020. "Effect of drip irrigation on wheat evapotranspiration, soil evaporation and transpiration in Northwest China," Agricultural Water Management, Elsevier, vol. 232(C).
    18. Phogat, V. & Skewes, M.A. & McCarthy, M.G. & Cox, J.W. & Šimůnek, J. & Petrie, P.R., 2017. "Evaluation of crop coefficients, water productivity, and water balance components for wine grapes irrigated at different deficit levels by a sub-surface drip," Agricultural Water Management, Elsevier, vol. 180(PA), pages 22-34.
    19. Wang, Yujin & Zhang, Zhitao & Chen, Yinwen & Fan, Shaoshuai & Chen, Haiying & Bai, Xuqian & Yang, Ning & Tang, Zijun & Qian, Long & Mao, Zhengxuan & Zhang, Siying & Chen, Junying & Xiang, Youzhen, 2025. "Correction of crop water deficit indicators based on time-lag effects for improved farmland water status assessment," Agricultural Water Management, Elsevier, vol. 313(C).
    20. Fuentes, Sigfredo & Ortega-Farías, Samuel & Carrasco-Benavides, Marcos & Tongson, Eden & Gonzalez Viejo, Claudia, 2024. "Actual evapotranspiration and energy balance estimation from vineyards using micro-meteorological data and machine learning modeling," Agricultural Water Management, Elsevier, vol. 297(C).

    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:15:y:2025:i:18:p:1911-:d:1745613. 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.