💻🌾 Use of an enhanced cultivar calibration framework for #DSSAT to examine effects of ecotype and time-series data by @luisvargasrojas.bsky.social Matthew Reynolds, and Diane Wang buff.ly/nYDjbB7 #PlantScience #drought

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New #dpest update. It now supports all #DSSAT crop models and automatically generates the #PEST calibration files (TPL, INS, PST). PyPI: pypi.org/project/dpest/ Docs: dpest.readthedocs.io Example: doi.org/10.1093/insi...

The third paper of my PhD dissertation focuses on developing a framework to integrate in-season measurements, including remote sensing data, into crop model calibration for new cultivars. Published at @insilicoplants.bsky.social t.co/w8KwPVJESL

NEW! Use of an enhanced cultivar calibration framework for #DSSAT to examine effects of ecotype and time-series data from Luis Vargas-Rojas, Matthew Reynolds, and Diane R Wang doi.org/10.1093/insi... #PlantSci #drought #wheat @purdueagronomy.bsky.social @cimmyt.bsky.social

Just published in JOSS: 'dpest: Streamlining Creation of PEST input files for DSSAT Crop Model Calibration' https://doi.org/10.21105/joss.08188