Literature DB >> 25602807

Net global warming potential and greenhouse gas intensity influenced by irrigation, tillage, crop rotation, and nitrogen fertilization.

Upendra M Sainju, William B Stevens, Thecan Caesar-TonThat, Mark A Liebig, Jun Wang.   

Abstract

Little information exists about how global warming potential (GWP) is affected by management practices in agroecosystems. We evaluated the effects of irrigation, tillage, crop rotation, and N fertilization on net GWP and greenhouse gas intensity (GHGI or GWP per unit crop yield) calculated by soil respiration (GWP and GHGI) and organic C (SOC) (GWP and GHGI) methods after accounting for CO emissions from all sources (irrigation, farm operations, N fertilization, and greenhouse gas [GHG] fluxes) and sinks (crop residue and SOC) in a Lihen sandy loam from 2008 to 2011 in western North Dakota. Treatments were two irrigation practices (irrigated vs. nonirrigated) and five cropping systems (conventional-till malt barley [ L.] with N fertilizer [CTBN], conventional-till malt barley with no N fertilizer [CTBO], no-till malt barley-pea [ L.] with N fertilizer [NTB-P], no-till malt barley with N fertilizer, and no-till malt barley with no N fertilizer [NTBO]). While CO equivalents were greater with irrigation, tillage, and N fertilization than without, NO and CH fluxes were 2 to 218 kg CO eq. ha greater in nonirrigated NTBN and irrigated CTBN than in other treatments. Previous year's crop residue and C sequestration rate were 202 to 9316 kg CO eq. ha greater in irrigated NTB-P than in other treatments. Compared with other treatments, GWP and GWP were 160 to 9052 kg CO eq. ha lower in irrigated and nonirrigated NTB-P. Similarly, GHGI and GHGI were lower in nonirrigated NTB-P than in other treatments. Regardless of irrigation practices, NTB-P may lower net GHG emissions more than other treatments in the northern Great Plains.
Copyright © by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc.

Entities:  

Year:  2014        PMID: 25602807     DOI: 10.2134/jeq2013.10.0405

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


  8 in total

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Authors:  Qi Deng; Dafeng Hui; Junming Wang; Stephen Iwuozo; Chih-Li Yu; Tigist Jima; David Smart; Chandra Reddy; Sam Dennis
Journal:  PLoS One       Date:  2015-04-29       Impact factor: 3.240

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Authors:  Xueyan Bao; Xuefa Wen; Xiaomin Sun; Fenghua Zhao; Yuying Wang
Journal:  PLoS One       Date:  2014-10-14       Impact factor: 3.240

3.  A Global Meta-Analysis on the Impact of Management Practices on Net Global Warming Potential and Greenhouse Gas Intensity from Cropland Soils.

Authors:  Upendra M Sainju
Journal:  PLoS One       Date:  2016-02-22       Impact factor: 3.240

4.  Impact of agronomy practices on the effects of reduced tillage systems on CH4 and N2O emissions from agricultural fields: A global meta-analysis.

Authors:  Jinfei Feng; Fengbo Li; Xiyue Zhou; Chunchun Xu; Long Ji; Zhongdu Chen; Fuping Fang
Journal:  PLoS One       Date:  2018-05-21       Impact factor: 3.240

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Authors:  Gandura Omar Abagandura; Songul Şentürklü; Navdeep Singh; Sandeep Kumar; Douglas G Landblom; Kris Ringwall
Journal:  PLoS One       Date:  2019-05-22       Impact factor: 3.240

6.  Global cropland could be almost halved: Assessment of land saving potentials under different strategies and implications for agricultural markets.

Authors:  Julia M Schneider; Florian Zabel; Franziska Schünemann; Ruth Delzeit; Wolfram Mauser
Journal:  PLoS One       Date:  2022-02-22       Impact factor: 3.240

7.  Impacts of natural factors and farming practices on greenhouse gas emissions in the North China Plain: A meta-analysis.

Authors:  Cong Xu; Xiao Han; Roland Bol; Pete Smith; Wenliang Wu; Fanqiao Meng
Journal:  Ecol Evol       Date:  2017-07-21       Impact factor: 2.912

8.  Soil organic carbon in irrigated agricultural systems: A meta-analysis.

Authors:  David Emde; Kirsten D Hannam; Ilka Most; Louise M Nelson; Melanie D Jones
Journal:  Glob Chang Biol       Date:  2021-06-07       Impact factor: 10.863

  8 in total

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