Literature DB >> 25602341

Reducing nitrogen loss with managed drainage and polymer-coated urea.

Patrick Nash, Kelly Nelson, Peter Motavalli.   

Abstract

Continuous corn ( L.) production during dry years combined with high N fertilizer rates can have a high potential for NO-N loss through tile drainage water. Claypan soils can further increase the potential for NO-N loss through tile drainage water due to the claypan layer that restricts N leaching below the tile drains. The objective of this 4-yr study was to determine whether use of managed subsurface drainage (MD) in combination with a controlled-release N fertilizer could reduce the annual amount of NO-N loss through tile drainage water compared with free subsurface tile drainage (FD) with a noncoated urea application. Due to dry conditions over the summer and fall months, MD reduced the annual amount of water drained by at least 73% compared with FD in two of the four crop years. Low N loss and reduced corn N uptake possibly resulted in carry-over N and high soil N concentrations throughout the study, which may have limited the effect of N fertilizer source on annual NO-N loss in the tile drainage water. Use of MD reduced annual NO-N loss in the tile drainage water by 78 to 85% in two of the four years. High NO-N loss reduction with MD compared with FD was largely due to dry growing season conditions in combination with wet conditions over the noncropping period.
Copyright © by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc.

Entities:  

Year:  2015        PMID: 25602341     DOI: 10.2134/jeq2014.05.0238

Source DB:  PubMed          Journal:  J Environ Qual        ISSN: 0047-2425            Impact factor:   2.751


  1 in total

1.  Paired field and water measurements from drainage management practices in row-crop agriculture.

Authors:  L J Abendroth; G Chighladze; J R Frankenberger; L C Bowling; M J Helmers; D E Herzmann; X Jia; J Kjaersgaard; L A Pease; B D Reinhart; J Strock; M Youssef
Journal:  Sci Data       Date:  2022-06-01       Impact factor: 8.501

  1 in total

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