Ítalo Stefanine Correia Granato (Italo Granato)

ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 4

Top Topics

Genome Wide Association

Arabidopsis Thaliana

Top Venues

G3 (Bethesda, Md.)

Nature communications

INRA Centre de Montpellier

USP/ESALQ (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

INRA Centre de Montpellier

France

Post-Doc :: UMR LEPSE

CIMMYT - Aug 31 2017

Mexico

Visiting researcher :: Biometry and Statistics unity

Dow AgroSciences

Brazil

Intern :: Research & Development

Education History

USP/ESALQ - Feb 07 2018

Brazil

PHD :: Genetics

Publications

Claude Welcker, Nadir Abusamra Spencer, Olivier Turc, Ítalo Stefanine Correia Granato, Romain Chapuis, Delphine Madur, Katia Beauchene, Brigitte Gouesnard, Xavier Draye, Carine Palaffre, Josiane Lorgeou, Stephane Melkior, Colin Guillaume, Thomas Presterl, Alain Murigneux, Randall J Wisser, Emilie J Millet, Fred A van Eeuwijk, Alain Charcosset, François Tardieu
Physiological adaptive traits are a potential allele reservoir for maize genetic progress under challenging conditions. Nature communications 13 (1) (2022)
Sara Castelletti, Aude Coupel-Ledru, Ítalo Stefanine Correia Granato, Carine Palaffre, Llorenç Cabrera-Bosquet, Chiara Tonelli, Stéphane Dimitri Nicolas, François Tardieu, Claude Welcker, Lucio Conti
Maize adaptation across temperate climates was obtained via expression of two florigen genes. PLoS genetics 16 (7) (2020)
Miriam Suzane Vidotti, Danilo Hottis Lyra, Júlia Silva Morosini, Ítalo Stefanine Correia Granato, Maria Carolina Quecine, João Lúcio de Azevedo, Roberto Fritsche-Neto
Additive and heterozygous (dis)advantage GWAS models reveal candidate genes involved in the genotypic variation of maize hybrids to Azospirillum brasilense. PloS one 14 (9) (2019)
Ítalo Stefanine Correia Granato, Jaime Cuevas, Francisco Luna-Vázquez, José Crosa, Osval Montesinos-López, Juan Burgueño, Roberto Fritsche-Neto
BGGE: A New Package for Genomic-Enabled Prediction Incorporating Genotype × Environment Interaction Models. G3 (Bethesda, Md.) 8 (9) (2018)