Does no-till crop management mitigate gaseous emissions and reduce yield disparities: An empirical US-China evaluation Article Swipe
Awais Shakoor
,
Elise Pendall
,
Muhammad Arif
,
Taimoor Hassan Farooq
,
Shahid Iqbal
,
Sher Muhammad Shahzad
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.scitotenv.2024.170310
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.scitotenv.2024.170310
Global agricultural systems face one of the greatest sustainability challenges: meeting the growing demand for food without leaving a negative environmental footprint. United States (US) and China are the two largest economies and account for 39 % of total global greenhouse gases (GHG) emissions into the atmosphere. No-till is a promising land management option that allows agriculture to better adapt and mitigate climate change effects compared to traditional tillage. However, the efficacy of no-till for mitigating GHG is still debatable. In this meta-analysis, we comprehensively assess the impact of no-till (relative to traditional tillage) on GHG mitigation potential and crop productivity in different agroecological systems and management regimes in the US and China. Overall, no-till in China did not change crop yields, although soil CO2 (8 %) and N2O (12 %) emissions decreased significantly, while soil CH4 emissions increased by 12 %. In contrast to Chinese no-till, a significant improvement in crop yields (up to 12 %) was recorded on US cropland under no-till. Moreover, significant decreases in soil N2O (21 %) and CH4 (12 %) emissions were observed. Of the three cropping systems, only wheat showed significant reduction in CO2, N2O and CH4 emissions in the Chinese no-till system. In the case of US, no-till soybean-rice and maize cropping systems demonstrated significant emission reductions for N2O and CO2, respectively. Interestingly, yields of no-till maize in China and rice in US exceeded those of other no-till cereals. In China, no-till on medium-texture soils resulted in significant reductions in GHG emissions and higher crop yields compared to other soil types. In both countries, the relatively higher crop yields under irrigated versus non-irrigated no-till and the significant yield differences on fine textured soils under US no-till are likely due to the substantial N2O reductions. In summary, crop yield disparities from no-till between China and the US were related to the insignificant effects on controlling CH4 emissions and successfully mitigating N2O, respectively. This study comprehensively demonstrates how cropping system and pedoclimatic conditions influence the relative effectiveness of no-till in both countries.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.scitotenv.2024.170310
- OA Status
- hybrid
- Cited By
- 6
- References
- 114
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391151116
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4391151116Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.scitotenv.2024.170310Digital Object Identifier
- Title
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Does no-till crop management mitigate gaseous emissions and reduce yield disparities: An empirical US-China evaluationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-01-24Full publication date if available
- Authors
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Awais Shakoor, Elise Pendall, Muhammad Arif, Taimoor Hassan Farooq, Shahid Iqbal, Sher Muhammad ShahzadList of authors in order
- Landing page
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https://doi.org/10.1016/j.scitotenv.2024.170310Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.scitotenv.2024.170310Direct OA link when available
- Concepts
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Greenhouse gas, Environmental science, Tillage, Agriculture, No-till farming, Cropping, Sustainability, Agronomy, Cropping system, Soil water, Agroforestry, Crop, Soil fertility, Geography, Soil science, Biology, Archaeology, EcologyTop concepts (fields/topics) attached by OpenAlex
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6Total citation count in OpenAlex
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2025: 3, 2024: 3Per-year citation counts (last 5 years)
- References (count)
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114Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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