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Modelling cereal crops to assess future climate risk for family food self-sufficiency in southern Mali

Traoré Bouba Sidi, Descheemaeker Katrien, Van Wijk Mark T., Corbeels Marc, Supit Iwan, Giller Ken E.. 2017. Modelling cereal crops to assess future climate risk for family food self-sufficiency in southern Mali. Field Crops Research, 201 : pp. 133-145.

Journal article ; Article de revue à facteur d'impact
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Quartile : Q1, Sujet : AGRONOMY

Abstract : Future climate change will have far reaching consequences for smallholder farmers in sub-Saharan Africa, the majority of whom depend on agriculture for their livelihoods. Here we assessed the farm-level impact of climate change on family food self-sufficiency and evaluated potential adaptation options of crop management. Using three years of experimental data on maize and millet from an area in southern Mali representing the Sudano-Sahelian zone of West Africa we calibrated and tested the Agricultural Production Systems sIMulator (APSIM) model. Changes in future rainfall, maximum and minimum temperature and their simulated effects on maize and millet yield were analysed for climate change predictions of five Global Circulation Models (GCMs) for the 4.5 Wm−2 and 8.5 Wm−2 radiative forcing scenario (rcp4.5 and rcp8.5). In southern Mali, annual maximum and minimum temperatures will increase by 2.9 °C and 3.3 °C by the mid-century (2040–2069) as compared with the baseline (1980–2009) under the rcp4.5 and rcp8.5 scenario respectively. Predicted changes in the total seasonal rainfall differed between the GCMs, but on average, seasonal rainfall was predicted not to change. By mid-century maize grain yields were predicted to decrease by 51% and 57% under current farmer's fertilizer practices in the rcp4.5 and rcp8.5 scenarios respectively. APSIM model predictions indicated that the use of mineral fertilizer at recommended rates cannot fully offset the impact of climate change but can buffer the losses in maize yield up to 46% and 51% of the baseline yield. Millet yield losses were predicted to be less severe under current farmer's fertilizer practices by mid-century i.e. 7% and 12% in the rcp4.5 and rcp8.5 scenario respectively. Use of mineral fertilizer on millet can offset the predicted yield losses resulting in yield increases under both emission scenarios. Under future climate and current cropping practices, food availability is expected to reduce for all farm types in southern Mali. However, large and medium-sized farms can still achieve food self–sufficiency if early planting and recommended rates of fertilizer are applied. Small farms, which are already food insecure, will experience a further decrease in food self-sufficiency, with adaptive measures of early planting and fertilizer use unable to help them achieve food self-sufficiency. By taking into account the diversity in farm households that is typical for the region, we illustrated that crop management strategies must be tailored to the capacity and resource endowment of local farmers. Our place-based findings can support decision making by extension and development agents and policy makers in the Sudano-Sahelian zone of West Africa. (Résumé d'auteur)

Mots-clés Agrovoc : Plante céréalière, Changement climatique, Modèle de simulation, Modélisation des cultures, sécurité alimentaire, date de plantation, Fertilisation, Facteur climatique, Évaluation de l'impact, adaptation aux changements climatiques, Zea mays, Pennisetum glaucum, Rendement des cultures, Modèle mathématique

Mots-clés géographiques Agrovoc : Mali, Zone soudano-sahélienne, Afrique au sud du Sahara

Classification Agris : F01 - Crops
P40 - Meteorology and climatology
E80 - Home economics and crafts
U10 - Computer science, mathematics and statistics

Champ stratégique Cirad : Axe 1 (2014-2018) - Agriculture écologiquement intensive

Auteurs et affiliations

  • Traoré Bouba Sidi, IER (MLI)
  • Descheemaeker Katrien, ICRISAT (MLI)
  • Van Wijk Mark T., ILRI (MLI)
  • Corbeels Marc, CIRAD-PERSYST-UPR AIDA (KEN)
  • Supit Iwan, Wageningen University (NLD)
  • Giller Ken E., Wageningen University (NLD)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/584157/)

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