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Contact Information:

Cornell University

175 Biotechnology Building

Ithaca, NY 14853




Google Scholar


Germano Costa-Neto


Research Interests:


I’m an agronomist who is passionate about the biometrics underlying the interactions of plants with their growing environment. My research interests are phenomics, enviromics (large-scale envirotyping), and quantitative genetics applied to predictive breeding enabled by statistical or machine learning approaches. I recently joined the Buckler Lab to support the implementation of enviromic-aided efforts for a better understanding of plant adaptations across diverse scenarios and integrate enviromics with different omics, data types, and predictive tools.


•  Ph.D. in Quantitative Genetics and Plant Breeding, University of São Paulo – “Luiz de Queiroz” Agriculture College (Esalq-USP, Brazil)

•  M.S. in Plant Breeding, Federal University of Goiás (UF Goiás, Brazil) and Brazilian Corporation for Agricultural Research (Embrapa)

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