Five Root Models Compete in Benchmarking Challenge
Assessing the reliability of root water uptake simulations
Assessing the reliability of root water uptake simulations
SIMPLACE offers a flexible and transparent approach to developing customized crop models
Using a mathematical model to test a proposed cambial cell division feedback loop.
Models enable the optimization of multiple trait trade-offs.
Plant modelers do not also need to be software engineers thanks to Cropbox framework
Modelling unveils the role of photorespiration in stabilizing the Calvin cycle.
Modeling differences in reproductive effort between iteroparous and semelparous reproductive strategies in Bromeliaceae
Active carbon pools need to be included for accurate simulation of plant growth patterns under fluctuating environments.
Integration of machine learning and crop modelling can optimize predictions of plant growth and yield.
Identification of traits affecting pollen performance
Introducing cageminer, an R/Bioconductor package to prioritize candidate genes by integrating GWAS and gene coexpression networks
The best method depends on your goal, need for accuracy, and computing allowance
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