2017Unpublished venueOpen access

Review of "Uncertainties in global crop model frameworks: effects of cultivar distribution, crop management and soil handling on crop yield estimates"

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Abstract

In this article, the authors consider 5 evolutions of the EPIC model with which they perform identical simulations for global maize growth under different setups.One setup aims at keeping each model's as it is originally set and used with harmonized climate data, two setups aim at reducing the differences between the models by 1/ harmonizing N and P application rates and planting dates, 2/ also providing sufficient nutrients to avoid any yield decrease.The simulations are also performed under rainfed and irrigated conditions.The study is centered on the coefficient of variation describing the spread of the models in the different configurations.

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In this article, the authors consider 5 evolutions of the EPIC model with which they perform identical simulations for global maize growth under different setups.One setup aims at keeping each model's as it is originally set and used with harmonized climate data, two setups aim at reducing the differences between the models by 1/ harmonizing N and P application rates and planting dates, 2/ also providing sufficient nutrients to avoid any yield decrease.The simulations are also performed under rainfed and irrigated conditions.The study is centered on the coefficient of variation describing the spread of the models in the different configurations.

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Available abstract

In this article, the authors consider 5 evolutions of the EPIC model with which they perform identical simulations for global maize growth under different setups.One setup aims at keeping each model's as it is originally set and used with harmonized climate data, two setups aim at reducing the differences between the models by 1/ harmonizing N and P application rates and planting dates, 2/ also providing sufficient nutrients to avoid any yield decrease.The simulations are also performed under rainfed and irrigated conditions.The study is centered on the coefficient of variation describing the spread of the models in the different configurations.

Key concepts: Crop, Yield (engineering), Crop management, Cultivar, Agronomy, Environmental science, Crop yield, Distribution (mathematics)

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