Tom Tang

Leveraging biological insight and environmental variation to improve phenotypic prediction: Integrating crop growth models (CGM) with whole genome prediction (WGP)

Carlos D. Messina, Frank Technow, Tom Tang et al. · European Journal of Agronomy · 2018 · 213 citations

Phenomics, Population Genetics, Quantitative Genetics +15

Integrating genetic gain and gap analysis to predict improvements in crop productivity

Mark Cooper, Tom Tang, Carla Gho et al. · Crop Science · 2020 · 125 citations · Full text

Precision Agriculture, Crop Productivity, Engineering +24

Can we harness digital technologies and physiology to hasten genetic gain in US maize breeding?

Christine Diepenbrock, Tom Tang, Michael Jines et al. · PLANT PHYSIOLOGY · 2021 · 54 citations · Full text

Genetics, Agricultural Economics, Genomics +21

Reproductive resilience but not root architecture underpins yield improvement under drought in maize

Carlos D. Messina, Dan McDonald, Hanna Poffenbarger et al. · Journal of Experimental Botany · 2021 · 50 citations · Full text

Plants Capture Water, Engineering, Fertility +20

Response of maize photosynthesis to high temperature: Implications for modeling the impact of global warming

José L. Rotundo, Tom Tang, Carlos D. Messina · Plant Physiology and Biochemistry · 2019 · 34 citations

Climatology, Engineering, High Temperature +9