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High probability of yield gain through conservation agriculture in dry regions for major staple crops
- Source :
- Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021), Scientific Reports, Scientific Reports, Nature Publishing Group, 2021, 11, pp.3344. ⟨10.1038/s41598-021-82375-1⟩, Scientific Reports, Nature Publishing Group, 2021, 11 (1), ⟨10.1038/s41598-021-82375-1⟩
- Publication Year :
- 2021
- Publisher :
- Nature Portfolio, 2021.
-
Abstract
- International audience; Conservation agriculture (CA) has been promoted to mitigate climate change, reduce soil erosion, and provide a variety of ecosystem services. Yet, its impacts on crop yields remains controversial. To gain further insight, we mapped the probability of yield gain when switching from conventional tillage systems (CT) to CA worldwide. Relative yield changes were estimated with machine learning algorithms trained by 4403 paired yield observations on 8 crop species extracted from 413 publications. CA has better productive performance than no-till system (NT), and it stands a more than 50% chance to outperform CT in dryer regions of the world, especially with proper agricultural management practices. Residue retention has the largest positive impact on CA productivity comparing to other management practices. The variations in the productivity of CA and NT across geographical and climatical regions were illustrated on global maps. CA appears as a sustainable agricultural practice if targeted at specific climatic regions and crop species.
- Subjects :
- F08 - Systèmes et modes de culture
Science
[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy
Performance de culture
Article
F01 - Culture des plantes
[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]
apprentissage machine
Climate-change mitigation
ComputingMilieux_MISCELLANEOUS
F07 - Façons culturales
Augmentation de rendement
Évaluation de l'impact
Rendement des cultures
Climate-change adaptation
agriculture de conservation
Medicine
Zone aride
Plante de culture
Agroecology
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Volume :
- 11
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.pmid.dedup....4b2b586ffb7985b431e85e1c271a026d