CV Lattes
ResearcherID
ORCID
Universidade de São Paulo (USP). Faculdade de Zootecnia e Engenharia de Alimentos (FZEA) (Institutional affiliation for the last research proposal) Birthplace: Brazil
She holds a BS in Animal Science from the Faculty of Animal Science and Food Engineering of the University of São Paulo (2007-2011) and a Masters in Animal Science from the same institution in the area of molecular biology applied to livestock (2012-2015). During the MSc, she completed a five-month research internship at the University of Copenhagen / Denmark with the Group of Animal Breeding, Quantitative Genetics & Systems Biology under the guidance of Prof. Dr. Haja Kadarmideen (BEPE / FAPESP). She holds a PhD from the Animal Bioscience Program of FZEA / USP (2015-2019). During her Ph.D., she completed a six-month research internship at the Commonwealth Scientific and Industrial Research Organization (CSIRO-Australia) under the guidance of Dr. Antonio Reverter (BEPE / FAPESP). She is currently a postdoctoral fellow at CSIRO Agriculture and Food, with the Computational and System Biology Team. (Source: Lattes Curriculum)
Increase productivity, profitability and reduce environmental impact of livestock are among the main selection objectives of beef cattle and can be achieved by identifying animals with high feed efficiency (FE). Because it is a trait influenced by different biological processes, understanding their regulation at molecular level is critical to identify superior animals quickly and at lower…
The world population growth estimated for the coming decades and the consequent need to produce more food brings to the Brazilian beef industry, considering its importance in global market, the challenge of increase production while reducing the environmental impact of meat chain. One way is by selecting animals with high feed efficiency, which not only produce more meat per kilogram of f…
Although feed efficiency is a trait of great economic and environmental interest, the selection of animals is difficult due to its polygenic character, under great environmental influence. Thus, there is a need for studies that integrate different sources of information to create a more complete understanding of the dynamics of molecular mechanisms related to this trait. We propose, in th…
The beef cattle industry has a significant role in the production of greenhouse gases. One way to mitigate greenhouse gas emissions is selecting animals with high feed efficiency, which consume less food and therefore generate less manure and methane per kilogram of meat produced, improving the productivity and sustainability of beef cattle industry. Although extremely important, this tra…
| 2 / 2 | Completed scholarships in Brazil |
| 2 / 2 | Completed scholarships abroad |
| 4 / 4 | All Scholarships |
| Associated processes | |
(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)
| Publications | 7 |
| Citations | 47 |
| Cit./Article | 6.7 |
| Data from Web of Science | |
ALEXANDRE, PAMELA A.; KOGELMAN, LISETTE J. A.; SANTANA, MIGUEL H. A.; PASSARELLI, DANIELLE; PULZ, LIDIA H.; FANTINATO-NETO, PAULO; SILVA, PAULO L.; LEME, PAULO R.; STREFEZZI, RICARDO F.; COUTINHO, LUIZ L.; et al. Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle. BMC Genomics, v. 16, DEC 18 2015. Web of Science Citations: 41. (14/02493-7, 12/14792-3, 14/07566-2, 14/00307-1)
ALEXANDRE, PAMELA A.; NAVAL-SANCHEZ, MARINA; PORTO-NETO, LAERCIO R.; FERRAZ, JOSE BENTO S.; REVERTER, ANTONIO; FUKUMASU, HEIDGE. Systems Biology Reveals NR2F6 and TGFB1 as Key Regulators of Feed Efficiency in Beef Cattle. FRONTIERS IN GENETICS, v. 10, MAR 22 2019. Web of Science Citations: 1. (17/14707-0, 14/02493-7, 14/07566-2, 15/22276-3)
ALEXANDRE, PAMELA A.; REVERTER, ANTONIO; BEREZIN, ROBERTA B.; PORTO-NETO, LAERCIO R.; RIBEIRO, GABRIELA; SANTANA, MIGUEL H. A.; FERRAZ, JOSE BENTO S.; FUKUMASU, HEIDGE. Exploring the Regulatory Potential of Long Non-Coding RNA in Feed Efficiency of Indicine Cattle. GENES, v. 11, n. 9, SEP 2020. Web of Science Citations: 1. (17/14707-0, 14/07566-2, 15/22276-3)