Agricultural and Life Sciences (IFAS)
Messina Lab
Led by Carlos D. Messina · Horticultural Sciences
What we study
The Messina Lab improves Florida crops using AI and breeding, focusing on drought tolerance and climate adaptation. They develop AI tools to enhance plant breeding for regenerative agriculture.
What working here is like
- Computational
- Plants
- Coding helps
- Papers
- 5
Recent papers, explained
- The Plant Genome special section: Multi‐omics prediction in plant breeding
2026 · The Plant Genome
Reviews multi-omics methods for predicting traits in plant breeding to speed up selection.
- Genetic control of reproductive plasticity through prolificacy and tillering in maize
2026 · Australian Journal of Agricultural Research
Studies genetic control of maize traits like prolificacy and tillering to improve breeding strategies.
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- A framework for AI-integrated models to assess agricultural resilience
2026 · Frontiers in Sustainable Food Systems
Develops an AI tool to analyze agricultural supply chain disruptions using economic and biophysical models.
- Targeted breeding for drought-prone environments
2026 · Journal of Experimental Botany
Discusses targeted breeding strategies for drought-resistant alfalfa.
- Genomic and phenomic prediction models improve selection accuracy for complex traits in alfalfa
2026 · The Plant Phenome Journal
Develops genomic and phenomic models to predict alfalfa yield and persistence.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Carlos D. Messina hasn't set up this page yet. Their UF Scholars profile lists their publications.