Frontiers in Sustainable Food Systems (May 2021)

A Research Road Map for Responsible Use of Agricultural Nitrogen

  • Michael Udvardi,
  • Frederick E. Below,
  • Michael J. Castellano,
  • Alison J. Eagle,
  • Ken E. Giller,
  • Jagdish Kumar Ladha,
  • Xuejun Liu,
  • Tai McClellan Maaz,
  • Barbara Nova-Franco,
  • Nandula Raghuram,
  • G. Philip Robertson,
  • Sonali Roy,
  • Malay Saha,
  • Susanne Schmidt,
  • Mechthild Tegeder,
  • Larry M. York,
  • John W. Peters

DOI
https://doi.org/10.3389/fsufs.2021.660155
Journal volume & issue
Vol. 5

Abstract

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Nitrogen (N) is an essential but generally limiting nutrient for biological systems. Development of the Haber-Bosch industrial process for ammonia synthesis helped to relieve N limitation of agricultural production, fueling the Green Revolution and reducing hunger. However, the massive use of industrial N fertilizer has doubled the N moving through the global N cycle with dramatic environmental consequences that threaten planetary health. Thus, there is an urgent need to reduce losses of reactive N from agriculture, while ensuring sufficient N inputs for food security. Here we review current knowledge related to N use efficiency (NUE) in agriculture and identify research opportunities in the areas of agronomy, plant breeding, biological N fixation (BNF), soil N cycling, and modeling to achieve responsible, sustainable use of N in agriculture. Amongst these opportunities, improved agricultural practices that synchronize crop N demand with soil N availability are low-hanging fruit. Crop breeding that targets root and shoot physiological processes will likely increase N uptake and utilization of soil N, while breeding for BNF effectiveness in legumes will enhance overall system NUE. Likewise, engineering of novel N-fixing symbioses in non-legumes could reduce the need for chemical fertilizers in agroecosystems but is a much longer-term goal. The use of simulation modeling to conceptualize the complex, interwoven processes that affect agroecosystem NUE, along with multi-objective optimization, will also accelerate NUE gains.

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