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Surface and Subsurface Transport of Nitrate Loss from the Selected Bioenergy Crop Fields: Systematic Review, Analysis and Future Directions

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  • Suresh Sharma

    (Department of Civil and Environmental Engineering, Youngstown State University, Youngstown, OH 941-1741, USA)

  • Indrajeet Chaubey

    (Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, IN 494-5013, USA)

Abstract

Nitrate loss from bioenergy crop fields has attracted considerable attention during the last few years because of its potential negative impact on aquatic and human health. Both controllable and uncontrollable factors for nitrate loss have been the subject of several previous studies. Due to differences in climate, biophysical dissimilarities and land management characteristics in different parts of the world the factors affecting nitrate loss are often inconsistent and hence difficult to generalize. Therefore, reanalyzing the experimental field or plot scale studies to understand the nitrate loss factors in crop fields is useful and necessary in developing management strategies for reducing nitrate loss. This research synthesized and investigated 36 peer reviewed scientific journal articles related to selected bioenergy crop fields that included: continuous corn, corn in rotation with soybean, switchgrass and Miscanthus to conduct a meta-analysis of the available research. In this study, factors such as drain tile spacing, tillage practices, type and timing of the fertilization rate, irrigation and various other factors, which are challenging to represent in regression equations, were also systematically analyzed. In addition, various other agronomic characteristics that are attributed too nitrate loss are caused by perennially planted bio energized crops such as Miscanthus and switchgrass. Results indicated that 49% of nitrate loss through surface runoff from corn fields is directly related to the annual precipitation and fertilization rate. Multiple linear regression equations were developed to estimate the annual subsurface nitrate loss for the continuous corn fields with a R 2 value of 0.65, 0.58 and 0.26 for sandy loam, silty loam and clay loam, respectively. Our analysis resulted in the conclusion that corn has a 2 to 3 times higher nitrate loss in surface runoff compared to switchgrass. Likewise, continuous corn and corn in rotation with soybean contributed more than 9 times the subsurface loss of nitrate compared to the established subsurface loss attributed to the Miscanthus and switchgrass.

Suggested Citation

  • Suresh Sharma & Indrajeet Chaubey, 2017. "Surface and Subsurface Transport of Nitrate Loss from the Selected Bioenergy Crop Fields: Systematic Review, Analysis and Future Directions," Agriculture, MDPI, vol. 7(3), pages 1-20, March.
  • Handle: RePEc:gam:jagris:v:7:y:2017:i:3:p:27-:d:93073
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    References listed on IDEAS

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    1. Rimski-Korsakov, Helena & Rubio, Gerardo & Lavado, Raul S., 2004. "Potential nitrate losses under different agricultural practices in the pampas region, Argentina," Agricultural Water Management, Elsevier, vol. 65(2), pages 83-94, March.
    2. Nangia, Vinay & Gowda, Prasanna H. & Mulla, D.J., 2010. "Effects of changes in N-fertilizer management on water quality trends at the watershed scale," Agricultural Water Management, Elsevier, vol. 97(11), pages 1855-1860, November.
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    1. Lourenzi, Cledimar Rogério & Ceretta, Carlos Alberto & Ciancio, Nathalia Haydee Riveros & Tiecher, Tadeu Luis & da Silva, Lincon Oliveira Stefanello & De Conti, Lessandro & Girotto, Eduardo & Ferreira, 2021. "Forms of nitrogen and phosphorus transfer by runoff in soil under no-tillage with successive organic waste and mineral fertilizers applications," Agricultural Water Management, Elsevier, vol. 248(C).
    2. Wang, Xuechun & Samo, Naseem & Wang, Mengran & Qadir, Muslim & Yang, Guotao & Hu, Yungao & Ali, Kawsar, 2019. "Dynamic changing of soil water in artificial ryegrass land in the hilly regions of Sichuan Basin area," Agricultural Water Management, Elsevier, vol. 221(C), pages 99-108.

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