Gerrit Hoogenboom

The paper evaluates a cassava crop growth model by calibrating it with multi-environment trial data, finding improved predictions but persistent biases in dry and wet environments.

The paper uses a multi-model ensemble to estimate soil carbon gains from regenerative practices in the U.S. Midwest cropland, finding that no-till with cover crops increases SOC stocks by 0.36 Mg ha-1 yr-1.

This paper integrates a gene-based module into a crop simulation model to simulate time-to-flowering in common bean, showing improved accuracy compared to traditional genotype-specific parameter approaches.