Agricultural and Life Sciences (IFAS)
Resende Lab
Led by Marcio Resende · Horticultural Sciences
What we study
The Resende Lab works on corn (maize) breeding and genomics, using quantitative genetics and genomic data to improve the crop.
What working here is like
- Computational
- Plants
- Coding helps
- Papers
- 5
Recent papers, explained
- Integrating genomic selection into potato breeding: A comparison of genotyping platforms and cross‐environmental predictions
2026 · The Plant Genome
Tests whether genomic selection models predict potato traits across different environments and breeding scenarios.
- Genomic selection using random regression to predict hybrid performance in untested environments by leveraging environmental data
2026 · Crop Science
Uses GIS-FA models to predict maize hybrid performance in new environments.
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- Genomic diversity reveals breeding pools in Brazilian tetraploid potato germplasm
2026 · Scientific Reports
Analyzes genetic diversity in Brazilian tetraploid potato germplasm.
- Single-kernel Near-infrared Reflectance Spectroscopy for Prediction of Phytoglycogen Content and Other Sweet Corn Seed Composition Traits
2026 · HortScience
Develops skNIR models to predict sweet corn seed composition traits.
- Sweet Corn Seed Germination and Vigor Prediction Using Single‐kernel Near‐infrared Spectroscopy
2026 · HortScience
Uses skNIR spectroscopy to predict sweet corn seed germination and vigor quickly.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Marcio Resende hasn't set up this page yet. Their UF Scholars profile lists their publications.