IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v269y2022ics0378377422002669.html
   My bibliography  Save this article

Effects of tillage systems on soil water distribution, crop development, and evaporation and transpiration rates of soybean

Author

Listed:
  • Liebhard, Gunther
  • Klik, Andreas
  • Neugschwandtner, Reinhard W.
  • Nolz, Reinhard

Abstract

Tillage practices are known to affect soil water retention, plant available water and, consequently, crop production. Impacts can be determined by assessing soil hydraulic properties and crop characteristics. In this study, three tillage practices were investigated with respect to vertical soil water distribution and development of soybean. A specific focus was set on determining evaporation and transpiration as fractions of evapotranspiration to obtain additional information on water availability and crop water use. The agricultural practices included conventional tillage, reduced tillage (no plow), and no-tillage. The study site was a long-term field experiment under rainfed conditions. The investigations covered a vegetation period of soybean. The measurements comprised weather and soil water monitoring using sensors and manual monitoring of crop development. Evapotranspiration and its components were determined using scintillometer measurements and an isotope-based water balance technique. In the researched vegetation period with limited water availability, the conservative tillage practices showed better water storage, water use, and crop yields compared to the conventional practice. The weekly evaporation and transpiration rates progressed according to the respective canopy development. Thus, delayed plant development of the no-till practice led to extended green cover and productive water use during the late season, where a large part of the precipitation has fallen. The tillage-induced differences of soil hydraulic properties had a substantial impact on soil water distribution, but a comparatively small impact on the soil surface wetness and thus directly on the evaporation rate. The tillage-induced impacts on soil cover by plant residues, however, showed the substantial reduction effect of plant residue cover on evaporation losses. Hence, assessment of evaporation and transpiration rates contributes to the understanding of differences in water productivity and promotes the efficient use of the available water resources.

Suggested Citation

  • Liebhard, Gunther & Klik, Andreas & Neugschwandtner, Reinhard W. & Nolz, Reinhard, 2022. "Effects of tillage systems on soil water distribution, crop development, and evaporation and transpiration rates of soybean," Agricultural Water Management, Elsevier, vol. 269(C).
  • Handle: RePEc:eee:agiwat:v:269:y:2022:i:c:s0378377422002669
    DOI: 10.1016/j.agwat.2022.107719
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377422002669
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2022.107719?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. Pereira, L.S. & Paredes, P. & López-Urrea, R. & Hunsaker, D.J. & Mota, M. & Mohammadi Shad, Z., 2021. "Standard single and basal crop coefficients for vegetable crops, an update of FAO56 crop water requirements approach," Agricultural Water Management, Elsevier, vol. 243(C).
    2. 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).
    3. 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.
    4. Xu, D. & Mermoud, A., 2003. "Modeling the soil water balance based on time-dependent hydraulic conductivity under different tillage practices," Agricultural Water Management, Elsevier, vol. 63(2), pages 139-151, December.
    5. Ding, Risheng & Kang, Shaozhong & Zhang, Yanqun & Hao, Xinmei & Tong, Ling & Du, Taisheng, 2013. "Partitioning evapotranspiration into soil evaporation and transpiration using a modified dual crop coefficient model in irrigated maize field with ground-mulching," Agricultural Water Management, Elsevier, vol. 127(C), pages 85-96.
    6. Cameron M. Pittelkow & Xinqiang Liang & Bruce A. Linquist & Kees Jan van Groenigen & Juhwan Lee & Mark E. Lundy & Natasja van Gestel & Johan Six & Rodney T. Venterea & Chris van Kessel, 2015. "Productivity limits and potentials of the principles of conservation agriculture," Nature, Nature, vol. 517(7534), pages 365-368, January.
    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).
    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. Josef Slaboch & Lukáš Čechura & Michal Malý & Jiří Mach, 2022. "The Shadow Values of Soil Hydrological Properties in the Production Potential of Climatic Regionalization of the Czech Republic," Agriculture, MDPI, vol. 12(12), pages 1-21, December.
    2. Villani, Lorenzo & Castelli, Giulio & Yimer, Estifanos Addisu & Nkwasa, Albert & Penna, Daniele & van Griensven, Ann & Bresci, Elena, 2024. "Exploring adaptive capacities in Mediterranean agriculture: Insights from Central Italy's Ombrone catchment," Agricultural Systems, Elsevier, vol. 216(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. 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).
    2. Qiu, Rangjian & Li, Longan & Liu, Chunwei & Wang, Zhenchang & Zhang, Baozhong & Liu, Zhandong, 2022. "Evapotranspiration estimation using a modified crop coefficient model in a rotated rice-winter wheat system," Agricultural Water Management, Elsevier, vol. 264(C).
    3. 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).
    4. 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.
    5. Darouich, Hanaa & Karfoul, Razan & Ramos, Tiago B. & Moustafa, Ali & Shaheen, Baraa & Pereira, Luis S., 2021. "Crop water requirements and crop coefficients for jute mallow (Corchorus olitorius L.) using the SIMDualKc model and assessing irrigation strategies for the Syrian Akkar region," Agricultural Water Management, Elsevier, vol. 255(C).
    6. Saurabh Kumar & Richa Ojha, 2023. "Modeling Soil Hydraulic Properties Using Dynamic Variability of Soil Pore Size Distribution," Sustainability, MDPI, vol. 15(13), pages 1-26, June.
    7. Ebtessam A. Youssef & Marwa M. Abdelbaset & Osama M. Dewedar & José Miguel Molina-Martínez & Ahmed F. El-Shafie, 2023. "Crop Coefficient Estimation and Effect of Abscisic Acid on Red Cabbage Plants ( Brassica oleracea var. Capitata) under Water-Stress Conditions," Agriculture, MDPI, vol. 13(3), pages 1-16, March.
    8. 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).
    9. Liu, Meihan & Shi, Haibin & Paredes, Paula & Ramos, Tiago B. & Dai, Liping & Feng, Zhuangzhuang & Pereira, Luis S., 2022. "Estimating and partitioning maize evapotranspiration as affected by salinity using weighing lysimeters and the SIMDualKc model," Agricultural Water Management, Elsevier, vol. 261(C).
    10. Serra, J. & Paredes, P. & Cordovil, CMdS & Cruz, S. & Hutchings, NJ & Cameira, MR, 2023. "Is irrigation water an overlooked source of nitrogen in agriculture?," Agricultural Water Management, Elsevier, vol. 278(C).
    11. Paredes, Paula & Trigo, Isabel & de Bruin, Henk & Simões, Nuno & Pereira, Luis S., 2021. "Daily grass reference evapotranspiration with Meteosat Second Generation shortwave radiation and reference ET products," Agricultural Water Management, Elsevier, vol. 248(C).
    12. Shao, Guomin & Han, Wenting & Zhang, Huihui & Zhang, Liyuan & Wang, Yi & Zhang, Yu, 2023. "Prediction of maize crop coefficient from UAV multisensor remote sensing using machine learning methods," Agricultural Water Management, Elsevier, vol. 276(C).
    13. Tamimi, Mansoor Al & Green, Steve & Hammami, Zied & Ammar, Khalil & Ketbi, Mouza Al & Al-Shrouf, Ali M. & Dawoud, Mohamed & Kennedy, Lesley & Clothier, Brent, 2022. "Evapotranspiration and crop coefficients using lysimeter measurements for food crops in the hyper-arid United Arab Emirates," Agricultural Water Management, Elsevier, vol. 272(C).
    14. Zhao, Xiaole & Mak-Mensah, Erastus & Zhao, Wucheng & Wang, Qi & Zhou, Xujiao & Zhang, Dengkui & Zhu, Jinhui & Qi, Wenjia & Liu, Qinglin & Li, Xiaoling & Li, Xuchun & Liu, Bing, 2024. "Optimized ridge-furrow technology with biochar amendment for alfalfa yield enhancement and soil erosion reduction based on a structural equation model on sloping land," Agricultural Water Management, Elsevier, vol. 298(C).
    15. McNamara, Ian & Flörke, Martina & Uschan, Thorben & Baez-Villanueva, Oscar M. & Herrmann, Frank, 2024. "Estimates of irrigation requirements throughout Germany under varying climatic conditions," Agricultural Water Management, Elsevier, vol. 291(C).
    16. Martínez-Romero, A. & López-Urrea, R. & Montoya, F. & Pardo, J.J. & Domínguez, A., 2021. "Optimization of irrigation scheduling for barley crop, combining AquaCrop and MOPECO models to simulate various water-deficit regimes," Agricultural Water Management, Elsevier, vol. 258(C).
    17. Mashabatu, Munashe & Ntshidi, Zanele & Dzikiti, Sebinasi & Jovanovic, Nebojsa & Dube, Timothy & Taylor, Nicky J., 2023. "Deriving crop coefficients for evergreen and deciduous fruit orchards in South Africa using the fraction of vegetation cover and tree height data," Agricultural Water Management, Elsevier, vol. 286(C).
    18. He, Rui & He, Min & Xu, Haidong & Zhang, Kun & Zhang, Mingcai & Ren, Dan & Li, Zhaohu & Zhou, Yuyi & Duan, Liusheng, 2023. "A novel plant growth regulator brazide improved maize water productivity in the arid region of Northwest China," Agricultural Water Management, Elsevier, vol. 287(C).
    19. Ramos, Tiago B. & Darouich, Hanaa & Oliveira, Ana R. & Farzamian, Mohammad & Monteiro, Tomás & Castanheira, Nádia & Paz, Ana & Gonçalves, Maria C. & Pereira, Luís S., 2023. "Water use and soil water balance of Mediterranean tree crops assessed with the SIMDualKc model in orchards of southern Portugal," Agricultural Water Management, Elsevier, vol. 279(C).
    20. 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).

    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:269:y:2022:i:c:s0378377422002669. 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.