New modelling technique for improving crop model performance - Application to the GLAM model

Abstract

A B S T R A C TCrop models simulate growth and development and they are often used for climate change applications. However, they have a variable skill in the simulation of crop responses to extreme climatic events. Here, we present a new dynamic crop modelling method for simulating the impact of abiotic stresses. The Simultaneous Equation Modelling for Annual Crops (SEMAC) uses simultaneous solution of the model equations to ensure internal model consistency within daily time steps; something that is not always guaranteed in the usual sequential method. The SEMAC approach is implemented in GLAM, resulting in a new model version (GLAM-Parti). The new model shows a clear improvement in skill under water stress conditions and it successfully simulates the acceleration of leaf senescence in response to drought. We conclude that SEMAC is a promising crop modelling technique that might be applied to a range of models.

CGIAR modeling approaches for resource‐constrained scenarios: I. Accelerating crop breeding for a changing climate

“…New models need to be designed that specifically incorporate those traits that are of importance to CGIAR breeding programs and crops, as well as their response to key stresses and their interactions, considering the proper balance between parsimony, and biological relevance (Hammer et al, 2019). Leapfrog changes in crop modeling frameworks, such as those proposed by Droutsas et al (2019) and Sinclair (2011, 2012), offer promise in creating models that can be more effectively and rapidly improved to support the breeding process (e.g. by adding new processes and/or traits, or by connecting them with genetic or phenotypic data) (e.g.…”

A new model of ozone stress in wheat including grain yield loss and plant acclimation to the pollutant

“…The GLAM-Parti crop model was developed based on the General Large Area Model for annual crops (GLAM) which is a relatively simple model designed to operate at regional scale (Challinor et al, 2004). The model was selected for the incorporation of the effect of O 3 on wheat, since it was developed with the SEMAC approach (Simultaneous Equation Modelling for Annual Crops), a novel crop modelling methodology which provides with a consistent representation of abiotic stresses and ensures internal consistency in the simulation of crop growth and development under environmental stress conditions (Droutsas et al, 2019). GLAM-Parti uses transpiration efficiency to simulate crop growth and allometric relationships for partitioning the biomass to the plant compartments.…”

“…The ranges and values of the calibrated parameters are provided in Table A.6. All other parameter values were taken from Droutsas et al (2019). The yield gap parameter (YGP) was set to one since O 3 was the only yield-limiting factor.…”

ОПЕРАТИВНОЕ И ДОЛГОСРОЧНОЕ ПРОГНОЗИРОВАНИЕ ПРОДУКТИВНОСТИ ПОСЕВОВ НА ОСНОВЕ МАССОВЫХ РАСЧЕТОВ ИМИТАЦИОННОЙ МОДЕЛИ АГРОЭКОСИСТЕМЫ В ГЕОИНФОРМАЦИОННОЙ СРЕДЕ (Обзор)

“…В качестве инструмента исследования выбирали не одну конкретную модель, а использовали модную современную методологию ансамблевых расчетов (96). Принципиальным отличием упомянутого проекта от многочисленных аналогов выступал тот факт, что соответствующие ансамблевые расчеты выполнялись в разрезе выбранных схем севооборота, а модификация традиционных практик смены культур рассматривалась в качестве основного исследуемого механизма, обеспечивающего смягчение последствий изменения климата для сельского хозяйства (97)(98)(99).…”