![]() The models were validated in hybrid performance trials in two additional seasons at that site and against yield trials conducted in Bushland, TX, between 20. ![]() Genotype parameters for each hybrid were estimated using remote-sensing measurements combined with manual phenotyping in West Lafayette, IN, in 2018. The goal of this study was to parameterize the Agricultural Production Systems sIMulator (APSIM) crop growth models with remote-sensing and ground-reference data to predict variation in phenology and yield-related traits in 18 commercial grain and biomass sorghum hybrids. ![]() Crop models can improve this testing regime by providing a predictive framework to (i) augment field phenotyping data and derive hard-to-measure phenotypes and (ii) estimate performance across geographical regions using historical weather data. As a result, extensive testing is required in plant breeding programmes to develop varieties aimed at performance in the target environments. Abstract Plant phenotypes are often descriptive, rather than predictive of crop performance.
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