Messina, Carlos

The critical role of extreme heat for maize production in the United States

Lobell, D. B., Hammer, G. L., McLean, G., Messina, C., Roberts, M. J., & Schlenker, W. (2013) · Nature Climate Change

Climate change impacts on agriculturePlant Water Relations and Carbon Dynamics

Cited by 1,026

Can Changes in Canopy and/or Root System Architecture Explain Historical Maize Yield Trends in the U.S. Corn Belt?

Hammer, G. L., Dong, Z., McLean, G., Doherty, A., Messina, C., Schussler, J., Zinselmeier, C., Paszkiewicz, S., & Cooper, M. (2009) · Crop Science

Crop Yield and Soil FertilityAgricultural Productivity and Crop Improvement

Cited by 745

Breeding drought-tolerant maize hybrids for the US corn-belt: discovery to product

Cooper, M., Gho, C., Leafgren, R., Tang, T., & Messina, C. (2014) · Journal of Experimental Botany

Genetics and Plant BreedingCrop Yield and Soil Fertility

Cited by 417

Predicting the future of plant breeding: complementing empirical evaluation with genetic prediction

Cooper, M., Messina, C. D., Podlich, D., Totir, L. R., Baumgarten, A., Hausmann, N. J., Wright, D., & Graham, G. (2014) · Crop & Pasture Science

Genetic and phenotypic traits in livestockGenetics and Plant Breeding

Cited by 411

Towards a multiscale crop modelling framework for climate change adaptation assessment

Peng, B., Guan, K., Tang, J., Ainsworth, E. A., Asseng, S., Bernacchi, C. J., Cooper, M., Delucia, E. H., Elliott, J. W., Ewert, F., et al. (2020) · Nature Plants

Climate change impacts on agricultureAgricultural Productivity and Crop Improvement

Cited by 322

Integrating Crop Growth Models with Whole Genome Prediction through Approximate Bayesian Computation

Technow, F., Messina, C. D., Totir, L. R., & Cooper, M. (2015) · PLOS ONE

Genetic and phenotypic traits in livestockGenetics and Plant Breeding

Cited by 265

Yield–trait performance landscapes: from theory to application in breeding maize for drought tolerance

Messina, C. D., Podlich, D., Dong, Z., Samples, M., & Cooper, M. (2011) · Journal of Experimental Botany

Genetics and Plant BreedingGenetic and phenotypic traits in livestock

Cited by 233

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

Messina, C. D., Technow, F., Tang, T., Totir, R., Gho, C., & Cooper, M. (2018) · European Journal of Agronomy

Genetic and phenotypic traits in livestockGenetics and Plant Breeding

Cited by 225

Use of Crop Growth Models with Whole‐Genome Prediction: Application to a Maize Multienvironment Trial

Cooper, M., Technow, F., Messina, C., Gho, C., & Totir, L. R. (2016) · Crop Science

Genetics and Plant BreedingGenetic and phenotypic traits in livestock

Cited by 214

Industry‐Scale Evaluation of Maize Hybrids Selected for Increased Yield in Drought‐Stress Conditions of the US Corn Belt

Gaffney, J., Schussler, J., Löffler, C., Cai, W., Paszkiewicz, S., Messina, C., Groeteke, J., Keaschall, J., & Cooper, M. (2015) · Crop Science

Crop Yield and Soil FertilityGenetics and Plant Breeding

Cited by 193

A gene-based model to simulate soybean development and yield responses to environment

Messina, C. D., Jones, J. W., Boote, K. J., & Vallejos, C. E. (2006) · Crop Science

Soybean genetics and cultivationGenetics and Plant Breeding

Cited by 145

A gene regulatory network model for floral transition of the shoot apex in maize and its dynamic modeling

Dong, Z., Danilevskaya, O., Abadie, T., Messina, C., Coles, N., & Cooper, M. (2012) · PLoS ONE

Plant Molecular Biology ResearchGene Regulatory Network Analysis

Cited by 133

Simultaneous gains in grain yield and nitrogen efficiency over 70 years of maize genetic improvement

Mueller, S. M., Messina, C. D., & Vyn, T. J. (2019) · Scientific Reports

Crop Yield and Soil FertilityPlant nutrient uptake and metabolism

Cited by 132

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

Cooper, M., Tang, T., Gho, C., Hart, T., Hammer, G., & Messina, C. (2020) · Crop Science

Crop Yield and Soil FertilityGenetics and Plant Breeding

Cited by 130

Modelling Crop Improvement in a G×E×M Framework via Gene–Trait–Phenotype Relationships

Messina, C., Hammer, G., Dong, Z., Podlich, D., & Cooper, M. (2009) · Crop Physiology

Genetics and Plant BreedingGenetic and phenotypic traits in livestock

Cited by 121

Tackling G × E × M interactions to close on-farm yield-gaps: creating novel pathways for crop improvement by predicting contributions of genetics and management to crop productivity

Cooper, M., Voss-Fels, K. P., Messina, C. D., Tang, T., & Hammer, G. L. (2021) · Theoretical and Applied Genetics

Genetics and Plant BreedingAgricultural Productivity and Crop Improvement

Cited by 119

Use of Global Sensitivity Analysis for CROPGRO Cotton Model Development

Pathak, T. B., Fraisse, C. W., Jones, J. W., Messina, C. D., & Hoogenboom, G. (2007) · Transactions of the ASABE

Agriculture, Soil, Plant ScienceResearch in Cotton Cultivation

Cited by 68

Predicting Genotype × Environment × Management (G × E × M) Interactions for the Design of Crop Improvement Strategies: Integrating Breeder, Agronomist, and Farmer Perspectives

Cooper, M., Messina, C. D., Tang, T., Gho, C., Powell, O. M., Podlich, D. W., Technow, F., & Hammer, G. L. (2022) · Plant Breeding Reviews

Genetics and Plant BreedingCrop Yield and Soil Fertility

Cited by 56

Crop science: A foundation for advancing predictive agriculture

Messina, C. D., Cooper, M., Reynolds, M., & Hammer, G. L. (2020) · Crop Science

Smart Agriculture and AIClimate change impacts on agriculture

Cited by 35