iCROPM 2020: Crop Modeling for the Future

Abstract

During the past decade, the interest in using crop models for research, education, extension, outreach and in the private sector has rapidly increased. The iCROPM 2020 Symposium entitled ‘Crop Modeling for the Future’, held in February 2020, therefore, provided a great opportunity for over 400 scientists from 50 different countries to exchange information on crop model development, evaluation with experimental data and implementation. A key outcome was the understanding that crop models simulate the dynamics of the soil-plant-atmosphere continuum. Thus, the models can be used for a quantitative and multi-criteria assessment of cropping system functioning, agronomic performance and environmental impact. This should result in more practical applications that can provide actionable information for stakeholders.

Growth and yield estimation of banana through mathematical modelling: a systematic review

“…Chaves et al, 2009) have highlighted the importance of incorporating the source-sink relationship with plant growth. There are some other process-based models (e.g., APSIM, CROPSYST, DAISY, FASSET, HERMES, DNDC, WOFOSt, DSSAT, AquaCrop and STICS) (Sannagoudar et al, 2019;Hoogenboom et al, 2021) that can be utilized as banana crop simulation models. Effective banana crop simulation model outputs (i.e., growth, fruit and fibre yield) are only possible if the model's parameters are accurately represented in the simulation and the input cultivar related data are accurate and reliable (Grassini et al, 2015;Geethanjali and Muralidhara, 2021).…”

Adapting the CROPGRO‐faba bean model to simulate the growth and development of Amaranthus species

“…While crop models can be used to hypothesize genetic improvements to existing crop species and cultivars, they are also valuable tools to evaluate crop management strategies (Boote et al., 2002). They are useful instruments for assessing the functioning of cropping systems and predicting agronomic productivity under defined environmental conditions such as probable climate change scenarios (Hoogenboom et al., 2021). CROPGRO is a generic crop model that is incorporated in the Decision Support System for Agrotechnology Transfer (DSSAT) suite of crop models (Hoogenboom et al., 2019; Jones et al., 2003).…”