High probability of yield gain through conservation agriculture in dry regions for major staple crops

Su Yang, Gabrielle Benoît, Beillouin Damien, Makowski David. 2021. High probability of yield gain through conservation agriculture in dry regions for major staple crops. Scientific Reports, 11:3344, 8 p.

https://doi.org/10.1038/s41598-021-82375-1

Article de revue ; Article de recherche ; Article de revue à facteur d'impact Revue en libre accès total

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Quartile : Q2, Sujet : MULTIDISCIPLINARY SCIENCES

Résumé : 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.

Mots-clés Agrovoc : agriculture de conservation, augmentation de rendement, rendement des cultures, zone aride, évaluation de l'impact, performance de culture, apprentissage machine, plante de culture

Mots-clés libres : Conservation agriculture, Machine learning, Random forest

Classification Agris : F08 - Systèmes et modes de culture
F07 - Façons culturales
F01 - Culture des plantes

Champ stratégique Cirad : CTS 2 (2019-) - Transitions agroécologiques

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