Review: corn growth and yield models under climate change scenarios

Authors

  • José Luis Noriega-Navarrete Posgrado en Ingeniería Agrícola y Uso Integral del Agua-Universidad Autónoma Chapingo. Edificio Efraín Hernández Xolocotzi, PB. Carretera México-Texcoco km 38.5, Chapingo, Estado de México. CP. 56230
  • Raquel Salazar-Moreno Posgrado en Ingeniería Agrícola y Uso Integral del Agua-Universidad Autónoma Chapingo. Edificio Efraín Hernández Xolocotzi, PB. Carretera México-Texcoco km 38.5, Chapingo, Estado de México. CP. 56230
  • Irineo Lorenzo López-Cruz Posgrado en Ingeniería Agrícola y Uso Integral del Agua-Universidad Autónoma Chapingo. Edificio Efraín Hernández Xolocotzi, PB. Carretera México-Texcoco km 38.5, Chapingo, Estado de México. CP. 56230

DOI:

https://doi.org/10.29312/remexca.v12i1.2552

Keywords:

Biosystems, DSSAT-CERES-Maize, mathematical modeling

Abstract

Climate change (CC) affects the current meteorological conditions and negatively affects the yield of corn, particularly during the rainy season. To estimate the effects of CC on productivity, growth simulation models have been used under different climate change scenarios. This article reviews the models implemented globally, during the period 2006 to 2019, through Scopus and Google Scholar. The reported models are mechanistic, dynamic and stochastic, such as DSSAT-CERES-Maize, APSIM-Maize, CropSyst, AquaCrop, EPIC-Maize, CropWat InfoCrop, and WOFOST. Simulations in various scenarios report decreased corn yields in Sub-Saharan Africa (78%), China (70%), Latin America (61%) and the Middle East (45%), and increases in the European Union (71%), Belt American Corn (57%), Middle East (45%) and India (44.5%). In Mexico, there are estimates of increases in corn yields from 5 to 22% considering the effects of carbonic fertilization, and reductions of up to 49.3% under other conditions. It is necessary to deepen studies on CC effects in the different regions of the country and implement models that can be used to design adaptation and mitigation policies and strategies, given the negative effects of CC in Mexican agriculture.

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Published

2021-01-31

How to Cite

Noriega-Navarrete, José Luis, Raquel Salazar-Moreno, and Irineo Lorenzo López-Cruz. 2021. “Review: Corn Growth and Yield Models under Climate Change Scenarios”. Revista Mexicana De Ciencias Agrícolas 12 (1). México, ME:127-40. https://doi.org/10.29312/remexca.v12i1.2552.

Issue

Vol. 12 No. 1 (2021)

Section

Essays

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