IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v267y2022ics0378377422001615.html
   My bibliography  Save this article

Effects of subsurface drip-irrigated soybean seeding rates on grain yield, evapotranspiration and water productivity under limited and full irrigation and rainfed conditions

Author

Listed:
  • Sandhu, Rupinder
  • Irmak, Suat

Abstract

There is lack of research, data and knowledge that can be transferable to producers, their advisors and managers in terms of dynamic relationships of soybean [Glycine max (L.) Merr.] yield, crop evapotranspiration (ETc), crop water productivity (CWP) with respect to irrigation water applied, seeding rate, and irrigation vs. ETc relationships. These dynamics were investigated relative to five seeding rates (185,250; 247,000; 308,750; 370,500 and 432,250 seeds ha−1) under full irrigation treatment (FIT), limited irrigation (75% FIT and 50% FIT), and rainfed. Rainfed treatment had the highest soil-water depletion, followed by 50% FIT, 75% FIT and FIT. No clear trend of soil-water depletion was observed due to seeding rates. In 75% FIT and FIT, highest yield was observed with 308,750 seeds ha−1 seeding rate. Yield plateaued at 4.3 tons ha−1 and no further yield increase was observed with increasing seeding rate beyond 308,750 seeds ha−1. While ETc differed significantly (p < 0.05) due to irrigation treatments and seeding rates, ETc was affected more by the irrigation levels than the seeding rates. ETc ranged from 460 mm for rainfed treatment to 489 mm for FIT under the lowest seeding rate (247,000 seeds ha−1) in 2014; and from 308 mm for rainfed under highest seeding rate (432,250 seeds ha−1) to 395 mm for FIT under 308,750 seeds ha−1 in 2015. ETc exhibited a linear response to irrigation and yield. Irrigation vs. ETc slopes indicate that for every 25.4 mm increase in irrigation application, ETc can increase between 5.8 mm and 17.3 mm, depending on the seeding rates. The highest weekly ETc of 62 mm in 2014 and 44 mm in 2015 was recorded for the same seeding rate of 308,750 seeds ha−1. IWP was highest (0.96 kg m−3) for 247,000 seeds ha−1 under 75% FIT in both seasons. The highest CWP of 0.93 kg m−3 was obtained with the 308,750 seeds ha−1 in both 75% FIT and FIT in 2014 while the highest CWP of 1.25 kg m−3 was measured for FIT under 432,250 seeds ha−1 in 2015. Further long-term research is suggested to investigate the potential differences in physiological and phenological parameters, growth, ETc, water productivity, yield, and yield response factors under different seeding rates for different soybean varieties under different irrigation levels and methods.

Suggested Citation

  • Sandhu, Rupinder & Irmak, Suat, 2022. "Effects of subsurface drip-irrigated soybean seeding rates on grain yield, evapotranspiration and water productivity under limited and full irrigation and rainfed conditions," Agricultural Water Management, Elsevier, vol. 267(C).
    • Handle: RePEc:eee:agiwat:v:267:y:2022:i:c:s0378377422001615
    DOI: 10.1016/j.agwat.2022.107614
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377422001615
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2022.107614?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. Molden, D., 1997. "Accounting for water use and productivity," IWMI Books, Reports H021374, International Water Management Institute.
    2. Fernández, J.E. & Alcon, F. & Diaz-Espejo, A. & Hernandez-Santana, V. & Cuevas, M.V., 2020. "Water use indicators and economic analysis for on-farm irrigation decision: A case study of a super high density olive tree orchard," Agricultural Water Management, Elsevier, vol. 237(C).
    3. Payero, J.O. & Tarkalson, D.D. & Irmak, S. & Davison, D. & Petersen, J.L., 2009. "Effect of timing of a deficit-irrigation allocation on corn evapotranspiration, yield, water use efficiency and dry mass," Agricultural Water Management, Elsevier, vol. 96(10), pages 1387-1397, October.
    4. Garcia y Garcia, A. & Persson, T. & Guerra, L.C. & Hoogenboom, G., 2010. "Response of soybean genotypes to different irrigation regimes in a humid region of the southeastern USA," Agricultural Water Management, Elsevier, vol. 97(7), pages 981-987, July.
    5. Molden, David J., 1997. "Accounting for water use and productivity," IWMI Books, International Water Management Institute, number 113623.
    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. 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).
    2. Clothier, Brent & Jovanovic, Nebo & Zhang, Xiying, 2020. "Reporting on water productivity and economic performance at the water-food nexus," Agricultural Water Management, Elsevier, vol. 237(C).
    3. Nektarios N. Kourgialas & Georgios Psarras & Giasemi Morianou & Vassilios Pisinaras & Georgios Koubouris & Nektaria Digalaki & Stella Malliaraki & Katerina Aggelaki & Georgios Motakis & George Arampat, 2022. "Good Agricultural Practices Related to Water and Soil as a Means of Adaptation of Mediterranean Olive Growing to Extreme Climate-Water Conditions," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    4. Mohammad Alauddin & Upali A. Amarasinghe & Bharat R. Sharma, 2014. "Four decades of rice water productivity in Bangladesh: A spatio-temporal analysis of district level panel data," Economic Analysis and Policy, Elsevier, vol. 44(1), pages 51-64.
    5. Lee, Teang Shui & Haque, M. Aminul & Najim, M.M.M., 2005. "Scheduling the cropping calendar in wet-seeded rice schemes in Malaysia," Agricultural Water Management, Elsevier, vol. 71(1), pages 71-84, January.
    6. Barros, R. & Isidoro, D. & Aragüés, R., 2011. "Long-term water balances in La Violada irrigation district (Spain): I. Sequential assessment and minimization of closing errors," Agricultural Water Management, Elsevier, vol. 102(1), pages 35-45.
    7. Zamani, Omid & Azadi, Hossein & Mortazavi, Seyed Abolghasem & Balali, Hamid & Moghaddam, Saghi Movahhed & Jurik, Lubos, 2021. "The impact of water-pricing policies on water productivity: Evidence of agriculture sector in Iran," Agricultural Water Management, Elsevier, vol. 245(C).
    8. Li, Xiaolin & Tong, Ling & Niu, Jun & Kang, Shaozhong & Du, Taisheng & Li, Sien & Ding, Risheng, 2017. "Spatio-temporal distribution of irrigation water productivity and its driving factors for cereal crops in Hexi Corridor, Northwest China," Agricultural Water Management, Elsevier, vol. 179(C), pages 55-63.
    9. Venot, Jean-Philippe & Sharma, Bharat R. & Rao, K. V. G. K., 2008. "The lower Krishna Basin trajectory: relationships between basin development and downstream environmental degradation," IWMI Research Reports H041463, International Water Management Institute.
    10. Kang, Shaozhong & Hao, Xinmei & Du, Taisheng & Tong, Ling & Su, Xiaoling & Lu, Hongna & Li, Xiaolin & Huo, Zailin & Li, Sien & Ding, Risheng, 2017. "Improving agricultural water productivity to ensure food security in China under changing environment: From research to practice," Agricultural Water Management, Elsevier, vol. 179(C), pages 5-17.
    11. Zhang, Chao & Xie, Ziang & Wang, Qiaojuan & Tang, Min & Feng, Shaoyuan & Cai, Huanjie, 2022. "AquaCrop modeling to explore optimal irrigation of winter wheat for improving grain yield and water productivity," Agricultural Water Management, Elsevier, vol. 266(C).
    12. Mitter, Hermine & Schmid, Erwin, 2019. "Computing the economic value of climate information for water stress management exemplified by crop production in Austria," Agricultural Water Management, Elsevier, vol. 221(C), pages 430-448.
    13. Dennis Wichelns, 2015. "Water productivity and water footprints are not helpful in determining optimal water allocations or efficient management strategies," Water International, Taylor & Francis Journals, vol. 40(7), pages 1059-1070, November.
    14. Ahmad, M.D. & Turral, H. & Nazeer, A., 2009. "Diagnosing irrigation performance and water productivity through satellite remote sensing and secondary data in a large irrigation system of Pakistan," Agricultural Water Management, Elsevier, vol. 96(4), pages 551-564, April.
    15. Cai, Ximing & Yang, Yi-Chen E. & Ringler, Claudia & Zhao, Jianshi & You, Liangzhi, 2011. "Agricultural water productivity assessment for the Yellow River Basin," Agricultural Water Management, Elsevier, vol. 98(8), pages 1297-1306, May.
    16. María Blanco & Benjamin Van Doorslaer & Wolfgang Britz & Heinz-Peter Witzke, 2012. "Exploring the feasibility of integrating water issues into the CAPRI model," JRC Research Reports JRC77058, Joint Research Centre.
    17. Ireneusz Cymes & Ewa Dragańska & Zbigniew Brodziński, 2022. "Potential Possibilities of Using Groundwater for Crop Irrigation in the Context of Climate Change," Agriculture, MDPI, vol. 12(6), pages 1-14, May.
    18. Liu, Junguo & Williams, Jimmy R. & Zehnder, Alexander J.B. & Yang, Hong, 2007. "GEPIC - modelling wheat yield and crop water productivity with high resolution on a global scale," Agricultural Systems, Elsevier, vol. 94(2), pages 478-493, May.
    19. Karam, F. & Saliba, R. & Skaf, S. & Breidy, J. & Rouphael, Y. & Balendonck, J., 2011. "Yield and water use of eggplants (Solanum melongena L.) under full and deficit irrigation regimes," Agricultural Water Management, Elsevier, vol. 98(8), pages 1307-1316, May.
    20. Bastiaanssen, W. G. M. & Chandrapala, L., 2003. "Water balance variability across Sri Lanka for assessing agricultural and environmental water use," Agricultural Water Management, Elsevier, vol. 58(2), pages 171-192, February.

    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:267:y:2022:i:c:s0378377422001615. 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.