publication . Article . 2021

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

Yang Su; Benoit Gabrielle; Damien Beillouin; David Makowski;
Open Access English
  • Published: 01 Dec 2021
  • Publisher: HAL CCSD
  • Country: France
<jats:title>Abstract</jats:title><jats:p>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 region...
Persistent Identifiers
free text keywords: [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy, Article, Climate-change mitigation, Climate-change adaptation, Agroecology, F08 - Systèmes et modes de culture, F07 - Façons culturales, F01 - Culture des plantes, agriculture de conservation, Augmentation de rendement, Rendement des cultures, Zone aride, Évaluation de l'impact, Performance de culture, apprentissage machine, Plante de culture,,,,,,,,, Multidisciplinary, Agriculture, business.industry, business, Erosion, Ecosystem services, Crop, Agroforestry, Climate change, Conservation agriculture, Crop yield, Environmental science, Conventional tillage, lcsh:Medicine, lcsh:R, lcsh:Science, lcsh:Q
Funded by
CLAND : Changement climatique et usage des terres
  • Funder: French National Research Agency (ANR) (ANR)
  • Project Code: ANR-16-CONV-0003
Agricultural and Food Sciences
Rural Digital Europe
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