TY - JOUR
T1 - Adapting irrigated and rainfed wheat to climate change in semi-arid environments
T2 - Management, breeding options and land use change
AU - Hernandez-Ochoa, Ixchel M.
AU - Luz Pequeno, Diego Notello
AU - Reynolds, Matthew
AU - Babar, Md Ali
AU - Sonder, Kai
AU - Milan, Anabel Molero
AU - Hoogenboom, Gerrit
AU - Robertson, Ricky
AU - Gerber, Stefan
AU - Rowland, Diane L.
AU - Fraisse, Clyde W.
AU - Asseng, Senthold
N1 - Publisher Copyright:
© 2019
PY - 2019/9
Y1 - 2019/9
N2 - Mexico's 3.3 million tons current wheat production is projected to decline due to climate change. To counteract these negative impacts, we explored a range of plausible adaptation measures including change in crop management (early sowing and nitrogen fertilizer applications), crop genetic traits (early vigor, late flowering and heat tolerance) and wheat growing area expansion. Adaptation measures were simulated individually and in various combinations with a multi-crop model and multi-Global Climate Model ensemble across representative wheat growing regions and aggregated to national wheat production. Under both baseline (current) and future climate scenarios, most of the suggested individual and combined genetic traits resulted in a positive impact on irrigated wheat but were less beneficial in rainfed systems, with the largest responses observed with late flowering and increased N fertilizer. Increased N fertilizer applications on its own, but particularly combined with crop genetic traits showed the highest yield increase in the baseline, with further positive impacts in the future scenarios. Yield benefits from new crop genetic traits combined with increased N fertilizer applications could add about 672,000 t year−1 to national wheat production, after losing 200,000 t year−1 due to climate change by 2050s. Most effectively, expanding wheat to include all areas where wheat was previously grown during the last two decades could add 1.5 million t year−1 now and 1.2 million t year−1 in the future. Breeding for new crop genetic traits will reduce some of the negative impacts from future climate change, but improved cultivars need to be implemented with suitable crop management, especially N fertilizer management.
AB - Mexico's 3.3 million tons current wheat production is projected to decline due to climate change. To counteract these negative impacts, we explored a range of plausible adaptation measures including change in crop management (early sowing and nitrogen fertilizer applications), crop genetic traits (early vigor, late flowering and heat tolerance) and wheat growing area expansion. Adaptation measures were simulated individually and in various combinations with a multi-crop model and multi-Global Climate Model ensemble across representative wheat growing regions and aggregated to national wheat production. Under both baseline (current) and future climate scenarios, most of the suggested individual and combined genetic traits resulted in a positive impact on irrigated wheat but were less beneficial in rainfed systems, with the largest responses observed with late flowering and increased N fertilizer. Increased N fertilizer applications on its own, but particularly combined with crop genetic traits showed the highest yield increase in the baseline, with further positive impacts in the future scenarios. Yield benefits from new crop genetic traits combined with increased N fertilizer applications could add about 672,000 t year−1 to national wheat production, after losing 200,000 t year−1 due to climate change by 2050s. Most effectively, expanding wheat to include all areas where wheat was previously grown during the last two decades could add 1.5 million t year−1 now and 1.2 million t year−1 in the future. Breeding for new crop genetic traits will reduce some of the negative impacts from future climate change, but improved cultivars need to be implemented with suitable crop management, especially N fertilizer management.
KW - Crop model ensemble
KW - Triticum
KW - Uncertainty
UR - http://www.scopus.com/inward/record.url?scp=85065803046&partnerID=8YFLogxK
U2 - 10.1016/j.eja.2019.125915
DO - 10.1016/j.eja.2019.125915
M3 - Article
AN - SCOPUS:85065803046
SN - 1161-0301
VL - 109
JO - European Journal of Agronomy
JF - European Journal of Agronomy
M1 - 125915
ER -