Author

Tom Tang

Corteva (United States)ORCID 0000-0002-9085-8822Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:genome assembly· 1 Organism:plant (other)· 1 Approach:simulation· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Carlos D. MessinaiD· 3 shared Mark CooperiD· 3 shared Carla GhoiD· 2 shared Frank TechnowiD· 1 shared Lucas BorrásiD· 1 shared Owen M. PowelliD· 1 shared R. Totir· 1 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 15 mutual co-author links

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3 shared papersGenetics

Carlos D. MessinaORCID

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3 papers

Recent·Most cited

Crop improvement can accelerate agriculture adaptation to societal demands and climate change.

Carlos D. Messina, Lucas Borrás, Tom Tang, Mark Cooper

The paper shows that maize breeding in the US corn-belt has increased genetic gain over time, adapting to climate change and improving yield despite environmental changes.

bioRxiv · Sep 19, 2023 · PreprintGenetics

Extending the breeder's equation to take aim at the Target Population of Environments

Mark Cooper, Owen M. Powell, Carla Gho, Tom Tang, Carlos D. Messina

The paper discusses the importance of the MET-TPE relationship in genomic prediction for improving breeding outcomes in target populations of environments.

Frontiers in Plant Science · Feb 21, 2023Peer-reviewedGenetics

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, R. Totir, Carla Gho, Mark Cooper

This paper integrates crop growth models with whole genome prediction to improve phenotypic prediction by accounting for genotype-by-environment-by-management interactions in maize breeding.

European Journal of Agronomy · Feb 1, 2018Peer-reviewedGenetics