Simulating nitrogen management impacts on maize production in the U.S. Midwest

Kamaljit Banger, Emerson D. Nafziger, Junming Wang, Umar Muhammad, Cameron M. Pittelkow

Research output: Contribution to journalArticle

Abstract

Nutrient loss reduction strategies have recently been developed in the U.S. Midwest to decrease the environmental footprint associated with nitrogen (N) fertilizer use. Although these strategies generally suggest decreasing N rates and shifting the timing of N application from fall to spring, the spatiotemporal impacts of these practices on maize yield and fertilizer N use efficiency (NUE, kg grain yield increase per kg N applied) have not been assessed at the watershed scale using crop simulation models. We simulated the effects of N fertilizer rate (0, 168, 190, 224 kg N ha -1 ) and application timing [fall-applied N (FN): 100% N applied on 1 December; spring-applied N (SN): 100% N applied 10 days before planting; split N: 66% N applied on 1 December + 34% N applied 10 days before planting] on maize grain yield (GY) across 3042 points in Illinois during 2011-2015 using the DSSAT-CERES-Maize model. When simulations were scaled up to the watershed level, results suggest that increases in average maize GY for SN compared to FN occurred in years with higher than average winter rainfall (2011, 2013), whereas yields were similar (+/- 4%) in 2012, 2014, and 2015. Accordingly, differences in NUE for SN compared to FN were small (0.0-1.4 kg GY/kg N) when cumulative winter rainfall was < 300 mm, but increased to 0.1-9.2 kg GY/kg N when winter rainfall was > 500 mm at both 168 kg N ha -1 and 224 kg N ha -1 . The combined practice of reducing N fertilizer amounts from 224 kg N ha -1 to 190 kg N ha -1 and shifting from FN to SN resulted in a wide range of yield responses during 2011-2015, with the probability of increasing yields varying from <10% to >70% of simulation points within a watershed. Positive impacts on both GY and NUE occurred in only 60% of simulations for this scenario, highlighting the challenge of simultaneously improving yield and NUE with a 15% N rate reduction in this region.

Original languageEnglish (US)
Article numbere0201825
JournalPloS one
Volume13
Issue number10
DOIs
StatePublished - Oct 2018

Fingerprint

Midwestern United States
Fertilizers
Zea mays
nitrogen fertilizers
Nitrogen
grain yield
Watersheds
corn
nitrogen
Rain
planting
rain
ecological footprint
winter
application timing
crop models
fertilizer rates
Nutrients
Crops
simulation models

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Cite this

Simulating nitrogen management impacts on maize production in the U.S. Midwest. / Banger, Kamaljit; Nafziger, Emerson D.; Wang, Junming; Muhammad, Umar; Pittelkow, Cameron M.

In: PloS one, Vol. 13, No. 10, e0201825, 10.2018.

Research output: Contribution to journalArticle

Banger, Kamaljit ; Nafziger, Emerson D. ; Wang, Junming ; Muhammad, Umar ; Pittelkow, Cameron M. / Simulating nitrogen management impacts on maize production in the U.S. Midwest. In: PloS one. 2018 ; Vol. 13, No. 10.
@article{aabe0db63c0e4bbfbf4e7427a98feb6a,
title = "Simulating nitrogen management impacts on maize production in the U.S. Midwest",
abstract = "Nutrient loss reduction strategies have recently been developed in the U.S. Midwest to decrease the environmental footprint associated with nitrogen (N) fertilizer use. Although these strategies generally suggest decreasing N rates and shifting the timing of N application from fall to spring, the spatiotemporal impacts of these practices on maize yield and fertilizer N use efficiency (NUE, kg grain yield increase per kg N applied) have not been assessed at the watershed scale using crop simulation models. We simulated the effects of N fertilizer rate (0, 168, 190, 224 kg N ha -1 ) and application timing [fall-applied N (FN): 100{\%} N applied on 1 December; spring-applied N (SN): 100{\%} N applied 10 days before planting; split N: 66{\%} N applied on 1 December + 34{\%} N applied 10 days before planting] on maize grain yield (GY) across 3042 points in Illinois during 2011-2015 using the DSSAT-CERES-Maize model. When simulations were scaled up to the watershed level, results suggest that increases in average maize GY for SN compared to FN occurred in years with higher than average winter rainfall (2011, 2013), whereas yields were similar (+/- 4{\%}) in 2012, 2014, and 2015. Accordingly, differences in NUE for SN compared to FN were small (0.0-1.4 kg GY/kg N) when cumulative winter rainfall was < 300 mm, but increased to 0.1-9.2 kg GY/kg N when winter rainfall was > 500 mm at both 168 kg N ha -1 and 224 kg N ha -1 . The combined practice of reducing N fertilizer amounts from 224 kg N ha -1 to 190 kg N ha -1 and shifting from FN to SN resulted in a wide range of yield responses during 2011-2015, with the probability of increasing yields varying from <10{\%} to >70{\%} of simulation points within a watershed. Positive impacts on both GY and NUE occurred in only 60{\%} of simulations for this scenario, highlighting the challenge of simultaneously improving yield and NUE with a 15{\%} N rate reduction in this region.",
author = "Kamaljit Banger and Nafziger, {Emerson D.} and Junming Wang and Umar Muhammad and Pittelkow, {Cameron M.}",
year = "2018",
month = "10",
doi = "10.1371/journal.pone.0201825",
language = "English (US)",
volume = "13",
journal = "PLoS One",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "10",

}

TY - JOUR

T1 - Simulating nitrogen management impacts on maize production in the U.S. Midwest

AU - Banger, Kamaljit

AU - Nafziger, Emerson D.

AU - Wang, Junming

AU - Muhammad, Umar

AU - Pittelkow, Cameron M.

PY - 2018/10

Y1 - 2018/10

N2 - Nutrient loss reduction strategies have recently been developed in the U.S. Midwest to decrease the environmental footprint associated with nitrogen (N) fertilizer use. Although these strategies generally suggest decreasing N rates and shifting the timing of N application from fall to spring, the spatiotemporal impacts of these practices on maize yield and fertilizer N use efficiency (NUE, kg grain yield increase per kg N applied) have not been assessed at the watershed scale using crop simulation models. We simulated the effects of N fertilizer rate (0, 168, 190, 224 kg N ha -1 ) and application timing [fall-applied N (FN): 100% N applied on 1 December; spring-applied N (SN): 100% N applied 10 days before planting; split N: 66% N applied on 1 December + 34% N applied 10 days before planting] on maize grain yield (GY) across 3042 points in Illinois during 2011-2015 using the DSSAT-CERES-Maize model. When simulations were scaled up to the watershed level, results suggest that increases in average maize GY for SN compared to FN occurred in years with higher than average winter rainfall (2011, 2013), whereas yields were similar (+/- 4%) in 2012, 2014, and 2015. Accordingly, differences in NUE for SN compared to FN were small (0.0-1.4 kg GY/kg N) when cumulative winter rainfall was < 300 mm, but increased to 0.1-9.2 kg GY/kg N when winter rainfall was > 500 mm at both 168 kg N ha -1 and 224 kg N ha -1 . The combined practice of reducing N fertilizer amounts from 224 kg N ha -1 to 190 kg N ha -1 and shifting from FN to SN resulted in a wide range of yield responses during 2011-2015, with the probability of increasing yields varying from <10% to >70% of simulation points within a watershed. Positive impacts on both GY and NUE occurred in only 60% of simulations for this scenario, highlighting the challenge of simultaneously improving yield and NUE with a 15% N rate reduction in this region.

AB - Nutrient loss reduction strategies have recently been developed in the U.S. Midwest to decrease the environmental footprint associated with nitrogen (N) fertilizer use. Although these strategies generally suggest decreasing N rates and shifting the timing of N application from fall to spring, the spatiotemporal impacts of these practices on maize yield and fertilizer N use efficiency (NUE, kg grain yield increase per kg N applied) have not been assessed at the watershed scale using crop simulation models. We simulated the effects of N fertilizer rate (0, 168, 190, 224 kg N ha -1 ) and application timing [fall-applied N (FN): 100% N applied on 1 December; spring-applied N (SN): 100% N applied 10 days before planting; split N: 66% N applied on 1 December + 34% N applied 10 days before planting] on maize grain yield (GY) across 3042 points in Illinois during 2011-2015 using the DSSAT-CERES-Maize model. When simulations were scaled up to the watershed level, results suggest that increases in average maize GY for SN compared to FN occurred in years with higher than average winter rainfall (2011, 2013), whereas yields were similar (+/- 4%) in 2012, 2014, and 2015. Accordingly, differences in NUE for SN compared to FN were small (0.0-1.4 kg GY/kg N) when cumulative winter rainfall was < 300 mm, but increased to 0.1-9.2 kg GY/kg N when winter rainfall was > 500 mm at both 168 kg N ha -1 and 224 kg N ha -1 . The combined practice of reducing N fertilizer amounts from 224 kg N ha -1 to 190 kg N ha -1 and shifting from FN to SN resulted in a wide range of yield responses during 2011-2015, with the probability of increasing yields varying from <10% to >70% of simulation points within a watershed. Positive impacts on both GY and NUE occurred in only 60% of simulations for this scenario, highlighting the challenge of simultaneously improving yield and NUE with a 15% N rate reduction in this region.

UR - http://www.scopus.com/inward/record.url?scp=85055138637&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85055138637&partnerID=8YFLogxK

U2 - 10.1371/journal.pone.0201825

DO - 10.1371/journal.pone.0201825

M3 - Article

C2 - 30346957

AN - SCOPUS:85055138637

VL - 13

JO - PLoS One

JF - PLoS One

SN - 1932-6203

IS - 10

M1 - e0201825

ER -