Optimizing rice yields while minimizing yield-scaled global warming potential

Cameron M Pittelkow, Maria A. Adviento-Borbe, Chris van Kessel, James E. Hill, Bruce A. Linquist

Research output: Contribution to journalArticle

Abstract

To meet growing global food demand with limited land and reduced environmental impact, agricultural greenhouse gas (GHG) emissions are increasingly evaluated with respect to crop productivity, i.e., on a yield-scaled as opposed to area basis. Here, we compiled available field data on CH4 and N2O emissions from rice production systems to test the hypothesis that in response to fertilizer nitrogen (N) addition, yield-scaled global warming potential (GWP) will be minimized at N rates that maximize yields. Within each study, yield N surplus was calculated to estimate deficit or excess N application rates with respect to the optimal N rate (defined as the N rate at which maximum yield was achieved). Relationships between yield N surplus and GHG emissions were assessed using linear and nonlinear mixed-effects models. Results indicate that yields increased in response to increasing N surplus when moving from deficit to optimal N rates. At N rates contributing to a yield N surplus, N2O and yield-scaled N2O emissions increased exponentially. In contrast, CH4 emissions were not impacted by N inputs. Accordingly, yield-scaled CH4 emissions decreased with N addition. Overall, yield-scaled GWP was minimized at optimal N rates, decreasing by 21% compared to treatments without N addition. These results are unique compared to aerobic cropping systems in which N2O emissions are the primary contributor to GWP, meaning yield-scaled GWP may not necessarily decrease for aerobic crops when yields are optimized by N fertilizer addition. Balancing gains in agricultural productivity with climate change concerns, this work supports the concept that high rice yields can be achieved with minimal yield-scaled GWP through optimal N application rates. Moreover, additional improvements in N use efficiency may further reduce yield-scaled GWP, thereby strengthening the economic and environmental sustainability of rice systems.

Original languageEnglish (US)
Pages (from-to)1382-1393
Number of pages12
JournalGlobal change biology
Volume20
Issue number5
DOIs
StatePublished - May 2014
Externally publishedYes

Fingerprint

Global Warming
Global warming
global warming
rice
Fertilizers
Gas emissions
Greenhouse gases
Crops
Gases
Productivity
Nitrogen fertilizers
Climate Change
Climate change
Environmental impact
Oryza
Sustainable development
Nitrogen
Economics
greenhouse gas
Food

Keywords

  • GHG emissions
  • Greenhouse gas intensity
  • Rice yield
  • Synthetic N fertilizer

ASJC Scopus subject areas

  • Global and Planetary Change
  • Environmental Chemistry
  • Ecology
  • Environmental Science(all)

Cite this

Pittelkow, C. M., Adviento-Borbe, M. A., van Kessel, C., Hill, J. E., & Linquist, B. A. (2014). Optimizing rice yields while minimizing yield-scaled global warming potential. Global change biology, 20(5), 1382-1393. https://doi.org/10.1111/gcb.12413

Optimizing rice yields while minimizing yield-scaled global warming potential. / Pittelkow, Cameron M; Adviento-Borbe, Maria A.; van Kessel, Chris; Hill, James E.; Linquist, Bruce A.

In: Global change biology, Vol. 20, No. 5, 05.2014, p. 1382-1393.

Research output: Contribution to journalArticle

Pittelkow, CM, Adviento-Borbe, MA, van Kessel, C, Hill, JE & Linquist, BA 2014, 'Optimizing rice yields while minimizing yield-scaled global warming potential', Global change biology, vol. 20, no. 5, pp. 1382-1393. https://doi.org/10.1111/gcb.12413
Pittelkow CM, Adviento-Borbe MA, van Kessel C, Hill JE, Linquist BA. Optimizing rice yields while minimizing yield-scaled global warming potential. Global change biology. 2014 May;20(5):1382-1393. https://doi.org/10.1111/gcb.12413
Pittelkow, Cameron M ; Adviento-Borbe, Maria A. ; van Kessel, Chris ; Hill, James E. ; Linquist, Bruce A. / Optimizing rice yields while minimizing yield-scaled global warming potential. In: Global change biology. 2014 ; Vol. 20, No. 5. pp. 1382-1393.
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