CV Lattes
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Universidade de São Paulo (USP). Faculdade de Zootecnia e Engenharia de Alimentos (FZEA) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Postdoctoral researcher associated with the Faculty of Animal Science and Food Engineering of the University of São Paulo (FZEA - USP), in the Animal Breeding Genetics and Biotechnology group (GMAB) and in the advanced livestock group (GOPEC). PhD in Animal Bioscience from the University of São Paulo (USP), Faculty of Animal Science and Food Engineering (FZEA). Visiting Scholar at Purdue University, Indiana, USA, with a focus on Animal Breeding Genetic. Project Management Specialist with an MBA from ESALQ/USP. Through the company GENOPEC, developed farm management projects, genetic planning, operational training, and digital marketing. Master of Science in the Animal Science program, quality and animal productivity, USP/FZEA. Bachelor's degree in Animal Science from the State University of Goiás (UEG). Linked to the scientific initiation scholarship program - PBIC/UEG. Participated in the mobility program as an exchange student of the Integrated Master's in Veterinary Medicine at the Abel Salazar Biomedical Sciences Institute (ICBAS), Porto - Portugal, and in the Equine Outpatient Clinic at the Vairão Animal Reproduction Center (CRAV), ICBAS, University of Porto. (Source: Lattes Curriculum)
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Increasing the profitability of beef cattle systems depends on accurately defining and incorporating longevity into herd genetic evaluations. This study aims to perform comprehensive genetic and genomic analyses using random regression models to estimate genetic parameters, correlations, and genetic architecture, along with prediction accuracy for key indicators of longevity in Nellore ca…
The complexity of reproductive traits as well as their gender-dependent phenotypic expression, it is crucial to explore/evaluate new methodologies and understand the implications of applying genomic predictions in order to improve the reproductive efficiency of bulls, heifers, and cows by obtaining information creating opportunities to improve the reproduction of Nellore animals through g…
This study will evaluate the inclusion of genomic information in the prediction of genetic values, with or without the inclusion of the X chromosome markers, as well as explore our knowledge of the mechanisms that modulate the genetic architecture of andrology traits and semen quality in males and precocity in females in Nellore cattle. The dataset consists of pedigree information contain…
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