IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v253y2021ics0378377421001591.html
   My bibliography  Save this article

Evaporation of maize crop under mulch film and soil covered drip irrigation: field assessment and modelling on West Liaohe Plain, China

Author

Listed:
  • Jia, Qiong
  • Shi, Haibin
  • Li, Ruiping
  • Miao, Qingfeng
  • Feng, Yayang
  • Wang, Ning
  • Li, Jingwei

Abstract

Due to existing problems related to drip irrigation under the conditions of mulching and the vigorous promotion of soil covered drip irrigation without film, drip irrigation experiments were conducted in 2017 and 2018 in order to explore the mechanism of water conservation. Three different irrigation treatments were adopted in this study: high, middle, and low irrigation quotas. In addition, two different experiment areas were selected: Taking mulching as an example, Zone I (film covered area) and Zone Ⅱ (bare soil area). For comparison, the division of zone with soil covered drip irrigation without film was the same as that with the mulching film. The two zones were designed to analyze soil evaporation regularity based on a calibrated SIMDualKc model under the conditions of both mulched drip irrigation and soil covered drip irrigation without film, respectively. The results showed that the SIMDualKc model could potentially be applied to simulate the soil water content and evaporation rates with a higher accuracy. The soil evaporation in high-water treatment was 13% higher than that in medium-water treatment, and that in low-water treatment was 5% lower than that in medium-water treatment under the soil covered drip irrigation without film conditions. The evaporation rates were only 0.67 mm and 36.18 mm in the Zone I and Zone II areas under mulched drip irrigation conditions, respectively. The water conservation had mainly occurred in the mulched area (Zone I) where mulched drip irrigation methods were utilized, and the evaporation was much less than that of the areas where soil covered drip irrigation without film methods were implemented. The results obtained in this study may provide a theoretical basis for future maize production under the conditions of both mulched drip irrigation and soil covered drip irrigation without film processes.

Suggested Citation

  • Jia, Qiong & Shi, Haibin & Li, Ruiping & Miao, Qingfeng & Feng, Yayang & Wang, Ning & Li, Jingwei, 2021. "Evaporation of maize crop under mulch film and soil covered drip irrigation: field assessment and modelling on West Liaohe Plain, China," Agricultural Water Management, Elsevier, vol. 253(C).
    • Handle: RePEc:eee:agiwat:v:253:y:2021:i:c:s0378377421001591
    DOI: 10.1016/j.agwat.2021.106894
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377421001591
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2021.106894?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. 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.
    2. Popova, Zornitsa & Pereira, Luis S., 2011. "Modelling for maize irrigation scheduling using long term experimental data from Plovdiv region, Bulgaria," Agricultural Water Management, Elsevier, vol. 98(4), pages 675-683, February.
    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. Liu, Meihan & Paredes, Paula & Shi, Haibin & Ramos, Tiago B. & Dou, Xu & Dai, Liping & Pereira, Luis S., 2022. "Impacts of a shallow saline water table on maize evapotranspiration and groundwater contribution using static water table lysimeters and the dual Kc water balance model SIMDualKc," Agricultural Water Management, Elsevier, vol. 273(C).
    2. Chen, Rui & Wang, Zhenhua & Dhital, Yam Prasad & Zhang, Xinyu, 2022. "A comparative evaluation of soil preferential flow of mulched drip irrigation cotton field in Xinjiang based on dyed image variability versus fractal characteristic parameter," Agricultural Water Management, Elsevier, vol. 269(C).
    3. Chuanjuan Wang & Jiandong Wang & Yanqun Zhang & Shanshan Qin & Yuanyuan Zhang & Chaoqun Liu, 2022. "Effects of Different Mulching Materials on the Grain Yield and Water Use Efficiency of Maize in the North China Plain," Agriculture, MDPI, vol. 12(8), pages 1-15, July.

    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. Zhao, Nana & Liu, Yu & Cai, Jiabing & Paredes, Paula & Rosa, Ricardo D. & Pereira, Luis S., 2013. "Dual crop coefficient modelling applied to the winter wheat–summer maize crop sequence in North China Plain: Basal crop coefficients and soil evaporation component," Agricultural Water Management, Elsevier, vol. 117(C), pages 93-105.
    2. Pereira, L.S. & Paredes, P. & Melton, F. & Johnson, L. & Mota, M. & Wang, T., 2021. "Prediction of crop coefficients from fraction of ground cover and height: Practical application to vegetable, field and fruit crops with focus on parameterization," Agricultural Water Management, Elsevier, vol. 252(C).
    3. Gao, Lei & Zhao, Peng & Kang, Shaozhong & Li, Sien & Tong, Ling & Ding, Risheng & Lu, Hongna, 2019. "Surface soil water content dominates the difference between ecosystem and canopy water use efficiency in a sparse vineyard," Agricultural Water Management, Elsevier, vol. 226(C).
    4. Zou, Haiyang & Fan, Junliang & Zhang, Fucang & Xiang, Youzhen & Wu, Lifeng & Yan, Shicheng, 2020. "Optimization of drip irrigation and fertilization regimes for high grain yield, crop water productivity and economic benefits of spring maize in Northwest China," Agricultural Water Management, Elsevier, vol. 230(C).
    5. Gong, Xuewen & Qiu, Rangjian & Ge, Jiankun & Bo, Guokui & Ping, Yinglu & Xin, Qingsong & Wang, Shunsheng, 2021. "Evapotranspiration partitioning of greenhouse grown tomato using a modified Priestley–Taylor model," Agricultural Water Management, Elsevier, vol. 247(C).
    6. Haofang Yan & Song Huang & Jianyun Zhang & Chuan Zhang & Guoqing Wang & Lanlan Li & Shuang Zhao & Mi Li & Baoshan Zhao, 2022. "Comparison of Shuttleworth–Wallace and Dual Crop Coefficient Method for Estimating Evapotranspiration of a Tea Field in Southeast China," Agriculture, MDPI, vol. 12(9), pages 1-17, September.
    7. Pereira, L.S. & Paredes, P. & Hunsaker, D.J. & López-Urrea, R. & Mohammadi Shad, Z., 2021. "Standard single and basal crop coefficients for field crops. Updates and advances to the FAO56 crop water requirements method," Agricultural Water Management, Elsevier, vol. 243(C).
    8. Rodrigues, Gonçalo C. & Paredes, Paula & Gonçalves, José M. & Alves, Isabel & Pereira, Luis S., 2013. "Comparing sprinkler and drip irrigation systems for full and deficit irrigated maize using multicriteria analysis and simulation modelling: Ranking for water saving vs. farm economic returns," Agricultural Water Management, Elsevier, vol. 126(C), pages 85-96.
    9. Mingze Yao & Manman Gao & Jingkuan Wang & Bo Li & Lizhen Mao & Mingyu Zhao & Zhanyang Xu & Hongfei Niu & Tieliang Wang & Lei Sun & Dongshuang Niu, 2023. "Estimating Evapotranspiration of Greenhouse Tomato under Different Irrigation Levels Using a Modified Dual Crop Coefficient Model in Northeast China," Agriculture, MDPI, vol. 13(9), pages 1-19, September.
    10. Minhas, P.S. & Ramos, Tiago B. & Ben-Gal, Alon & Pereira, Luis S., 2020. "Coping with salinity in irrigated agriculture: Crop evapotranspiration and water management issues," Agricultural Water Management, Elsevier, vol. 227(C).
    11. Cancela, J.J. & Fandiño, M. & Rey, B.J. & Martínez, E.M., 2015. "Automatic irrigation system based on dual crop coefficient, soil and plant water status for Vitis vinifera (cv Godello and cv Mencía)," Agricultural Water Management, Elsevier, vol. 151(C), pages 52-63.
    12. Schwen, Andreas & Bodner, Gernot & Loiskandl, Willibald, 2011. "Time-variable soil hydraulic properties in near-surface soil water simulations for different tillage methods," Agricultural Water Management, Elsevier, vol. 99(1), pages 42-50.
    13. Kögler, F. & Söffker, D., 2017. "Water (stress) models and deficit irrigation: System-theoretical description and causality mapping," Ecological Modelling, Elsevier, vol. 361(C), pages 135-156.
    14. Paredes, P. & Rodrigues, G.C. & Alves, I. & Pereira, L.S., 2014. "Partitioning evapotranspiration, yield prediction and economic returns of maize under various irrigation management strategies," Agricultural Water Management, Elsevier, vol. 135(C), pages 27-39.
    15. Huang, Song & Yan, Haofang & Zhang, Chuan & Wang, Guoqing & Acquah, Samuel Joe & Yu, Jianjun & Li, Lanlan & Ma, Jiamin & Opoku Darko, Ransford, 2020. "Modeling evapotranspiration for cucumber plants based on the Shuttleworth-Wallace model in a Venlo-type greenhouse," Agricultural Water Management, Elsevier, vol. 228(C).
    16. Pereira, L.S. & Paredes, P. & Melton, F. & Johnson, L. & Wang, T. & López-Urrea, R. & Cancela, J.J. & Allen, R.G., 2020. "Prediction of crop coefficients from fraction of ground cover and height. Background and validation using ground and remote sensing data," Agricultural Water Management, Elsevier, vol. 241(C).
    17. Kang, Jian & Hao, Xinmei & Zhou, Huiping & Ding, Risheng, 2021. "An integrated strategy for improving water use efficiency by understanding physiological mechanisms of crops responding to water deficit: Present and prospect," Agricultural Water Management, Elsevier, vol. 255(C).
    18. Z. Popova & M. Ivanova & D. Martins & L. Pereira & K. Doneva & V. Alexandrov & M. Kercheva, 2014. "Vulnerability of Bulgarian agriculture to drought and climate variability with focus on rainfed maize systems," 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. 74(2), pages 865-886, 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:eee:agiwat:v:253:y:2021:i:c:s0378377421001591. 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.