Luara Afonso de Freitas Januário

CV Lattes ORCID

Secretaria de Agricultura e Abastecimento (São Paulo - Estado). Agência Paulista de Tecnologia dos Agronegócios (APTA). Instituto de Zootecnia (Institutional affiliation from the last research proposal)
Birthplace: Brazil

Has experience in Zoothecny, focusing on Zoothecny (Source: Lattes Curriculum)

News published in Agência FAPESP Newsletter about the researcher

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TITULO

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VEICULO: TITULO (DATA)

Scholarships in Brazil

Completed (most recent)

Abstract
In ovine meat production one of the problems is susceptibility to gastrointestinal endoparasites, resulting in decreased production, resulting in decreased production. Fecal Egg Counts (FEC) and packed Cell Volume (CV) are traits used to evaluate the resistance of sheep to gastrointestinal nematode parasites. Genetically resistant animals are able to hinder the establishment of parasites …
Prediction of genomic values using Bayesian models and neural networks for endoparasite resistance traits in Santa Inês sheep, BP.DR
Abstract
The body weight is one of the mainly traits evaluated in sheep selection and it provides a more accurate measure of carcass yield, and can be measured in the same animal at different ages. In addition, as well as traits related to the production, the selection should also include resistance and resilience to endoparasites traits, because sheep have a greater susceptibility to infections c…
Genetic evaluation of growth characteristics and resistance to worms in sheep breed Santa Inês using random regression models and cluster analysis, BP.MS
Abstract
The main selection aim in strains of laying hens is to increase egg production and egg quality and egg weight that may meet the requirements of the consumer market. In general, strains of laying hens are characterized by hierarchical mating (several dams by sire, each dam mated with only one sire), short generation intervals of 1.2 to 1.5 years, and discrete generations and several progen…
Estimation of genetic parameters for partial and total egg production up to 60 weeks, body weight, age at sexual maturity and egg weight in a strain of laying hens, BP.IC

Scholarships abroad

Completed (most recent)

Abstract
Nowadays, the biggest problem for the expansion of the sheep industry is the incidence of gastrointestinal nematodes infection, which may in some situations make production systems economically unfeasible. Therefore, this study aims to compare the prediction accuracy of Multi-layer perceptron neural networks (MPL), Random Forest (RF), and Linear Discriminant Analysis (LDA) with the standa…
Machine learning for predictive analysis in Santa Inês sheep: an example of application to predict resistant, resilient and susceptible animals, BE.EP.DR
Abstract
The random regression models have as main advantage a better adjustment of the longitudinal data. Multivariate analyzes are used to explore and understand the information contained in a dataset and allow a better understanding of the genetic structure of the population by exploiting the breeding values of the animals. The aim of this study is the use of cluster analyzes to explore the gen…
Genetic evaluation of growth traits and resistance to verminoses in Santa Inês sheep using random regression models and cluster analysis, BE.EP.MS

Virtual Library in numbers * Updated data on July 19, 2025

Total / Available in English

3 / 3	Completed scholarships in Brazil
2 / 2	Completed scholarships abroad
5 / 5	All Scholarships

Associated processes

Most frequent collaborators in research granted by FAPESP

Keywords used by the researcher

Agronomical Sciences Animal Husbandry Biological Sciences Genetics

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