- Research Grants
Currently, I'm a master's student in Genetics and Plant Breeding at Federal University of Lavras. My main research's topic is the prediction of single-crosses hybrids using mixed models. I'm graduated in Agronomy at Maringá State University. During that time, I worked from 2008 to 2011 with beans breeding (two PIBIC projects) and from 2011 to 2012 with maize breeding (One PIBIC project). In my last graduation period, I participated in the Monsanto trainee program at Uberlândia-MG. (Source: Lattes Curriculum)
New Genomic Selection models that allows predicting sorghum (Sorghum bicolor) traits early in season using repeated measures data obtained from robotic platforms may help to increase predictability accuracy of genotypes after successive circles of selection using only molecular markers information. However, to date, there is no developed Genomic selection models that can recovery tempor...
Sorghum (Sorghum bicolor L. Moench spp.) is a bioenergy crop that contains several appealing features for exploration in breeding to increase the efficiency of bioenergy production. In genomic selection, high-throughput phenotyping (HTP) data collected over time have a temporal correlation structure still not addressed by genetic models. Dynamic Bayesian Networks (DBN) is a modeling fra...
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
|Data from Web of Science|
(References retrieved automatically from State of São Paulo Research Institutions)
SANTOS, Jhonathan Pedroso Rigal dos. Novas redes Bayesianas para predição genômica de caracteres de desenvolvimento em sorgo biomassa. Tese (Doutorado) - Escola Superior de Agricultura Luiz de Queiroz. Universidade de São Paulo (USP). Piracicaba. (17/03625-2)