Literature DB >> 27572528

Scenario analysis of fertilizer management practices for N2O mitigation from corn systems in Canada.

Diego Abalos1, Ward N Smith2, Brian B Grant2, Craig F Drury3, Sarah MacKell4, Claudia Wagner-Riddle4.   

Abstract

Effective management of nitrogen (N) fertilizer application by farmers provides great potential for reducing emissions of the potent greenhouse gas nitrous oxide (N2O). However, such potential is rarely achieved because our understanding of what practices (or combination of practices) lead to N2O reductions without compromising crop yields remains far from complete. Using scenario analysis with the process-based model DNDC, this study explored the effects of nine fertilizer practices on N2O emissions and crop yields from two corn production systems in Canada. The scenarios differed in: timing of fertilizer application, fertilizer rate, number of applications, fertilizer type, method of application and use of nitrification/urease inhibitors. Statistical analysis showed that during the initial calibration and validation stages the simulated results had no significant total error or bias compared to measured values, yet grain yield estimations warrant further model improvement. Sidedress fertilizer applications reduced yield-scaled N2O emissions by c. 60% compared to fall fertilization. Nitrification inhibitors further reduced yield-scaled N2O emissions by c. 10%; urease inhibitors had no effect on either N2O emissions or crop productivity. The combined adoption of split fertilizer application with inhibitors at a rate 10% lower than the conventional application rate (i.e. 150kgNha-1) was successful, but the benefits were lower than those achieved with single fertilization at sidedress. Our study provides a comprehensive assessment of fertilizer management practices that enables policy development regarding N2O mitigation from agricultural soils in Canada. Copyright Â
© 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Corn; DNDC; Fertilizer; Management practices; Model; Nitrous oxide

Year:  2016        PMID: 27572528     DOI: 10.1016/j.scitotenv.2016.08.153

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  4 in total

1.  Water table management and fertilizer application impacts on CO2, N2O and CH4 fluxes in a corn agro-ecosystem.

Authors:  Cynthia M Crézé; Chandra A Madramootoo
Journal:  Sci Rep       Date:  2019-02-25       Impact factor: 4.379

2.  Modelling adaptation strategies to reduce adverse impacts of climate change on maize cropping system in Northeast China.

Authors:  Rong Jiang; Wentian He; Liang He; J Y Yang; B Qian; Wei Zhou; Ping He
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

3.  Convolutional Neural Networks for Image-Based Corn Kernel Detection and Counting.

Authors:  Saeed Khaki; Hieu Pham; Ye Han; Andy Kuhl; Wade Kent; Lizhi Wang
Journal:  Sensors (Basel)       Date:  2020-05-10       Impact factor: 3.576

4.  Responses of Low-Cost Input Combinations on the Microbial Structure of the Maize Rhizosphere for Greenhouse Gas Mitigation and Plant Biomass Production.

Authors:  Caio Augusto Yoshiura; Andressa Monteiro Venturini; Lucas Palma Perez Braga; Aline Giovana da França; Maria do Carmo Catanho Pereira de Lyra; Siu Mui Tsai; Jorge Luiz Mazza Rodrigues
Journal:  Front Plant Sci       Date:  2021-06-30       Impact factor: 5.753

  4 in total

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