ArticleScientific data2021
A global dataset for crop production under conventional tillage and no tillage systems.
Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Review
- A large-scale, multitask, multisensory dataset for climate-aware crop monitoring in the US from 2018-2022.Scientific data · 2026Article
- The invisible subsoil compaction risk under no-till farming.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Potential long-term, global effects of enhancing the domestic terrestrial carbon sink in the United States through no-till and cover cropping.Carbon balance and management · 2024Article
- High probability of yield gain through conservation agriculture in dry regions for major staple crops.Scientific reports · 2021Article
- A global dataset for crop production under conventional tillage and no tillage systems.Scientific data · 2021Article
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Authors and funding
3 authors.
Funding
Abstract
No tillage (NT) is often presented as a means to grow crops with positive environmental externalities, such as enhanced carbon sequestration, improved soil quality, reduced soil erosion, and increased biodiversity. However, whether NT systems are as productive as those relying on conventional tillage (CT) is a controversial issue, fraught by a high variability over time and space. Here, we expand existing datasets to include the results of the most recent field experiments, and we produce a global dataset comparing the crop yields obtained under CT and NT systems. In addition to crop yield, our dataset also reports information on crop growing season, management practices, soil characteristics and key climate parameters throughout the experimental year. The final dataset contains 4403 paired yield observations between 1980 and 2017 for eight major staple crops in 50 countries. This dataset can help to gain insight into the main drivers explaining the variability of the productivity of NT and the consequence of its adoption on crop yields.
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Registered trials
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