A5062122369- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Scientific Computing and Data Management
- Gene expression and cancer classification
- Data Mining Algorithms and Applications
- Food Supply Chain Traceability
- Rural Development and Agriculture
- Animal Genetics and Reproduction
- Smart Agriculture and AI
- Genetics and Plant Breeding
- Service-Oriented Architecture and Web Services
- Milk Quality and Mastitis in Dairy Cows
- Research Data Management Practices
- Effects of Environmental Stressors on Livestock
- Genetics, Bioinformatics, and Biomedical Research
- Genomics and Phylogenetic Studies
- Biotechnology and Related Fields
- Distributed and Parallel Computing Systems
- Banana Cultivation and Research
- Machine Learning in Bioinformatics
- Digital Transformation in Industry
- Genetic Associations and Epidemiology
- Data Quality and Management
- Genetic diversity and population structure
- Livestock Farming and Management
Universidade Federal de Juiz de Fora
2014-2025
Brazilian Agricultural Research Corporation
2009-2024
Centro de Ensino Superior de Juiz de Fora
2009
O objetivo neste estudo foi avaliar a estrutura genética da população de bovinos raça Girolando no Brasil. Analisou-se o arquivo pedigree 26.969 animais, composto 3.031 machos e 23.938 fêmeas. nível conteúdo informação do na geração atual 61%, mostrando ser qualidade moderada. coeficiente endogamia médio relação foram 0,11 0,13%, respectivamente. tamanho efetivo população, considerando completa traçada, 188, acima crítico. Do total 9.457 ancestrais que contribuíram para referência, 457...
This paper proposes a new methodology to simultaneously select the most relevant SNPs markers for characterization of any measurable phenotype described by continuous variable using Support Vector Regression with Pearson Universal kernel as fitness function binary genetic algorithm. The proposed is multi-attribute towards considering several explain and based jointly on statistical tools, machine learning computational intelligence. suggested method has shown potential in simulated database...
A total of 32,817 test-day milk yield (TDMY) records the first lactation 4,056 Girolando cows daughters 276 sires, collected from 118 herds between 2000 and 2011 were utilized to estimate genetic parameters for TDMY via random regression models (RRM) using Legendre's polynomial functions whose orders varied 3 5. In addition, nine measures persistency in (PSi) trend 305-day (305MY) evaluated. The fit quality criteria used indicated RRM employing 5 fitting additive permanent environment...
The process of transferring technology from research institutes to industry involves benchmarking it in exhaustive experiments assure reaches the established quality criteria. This is also true for livestock domain, which technologies developed sustainably raise animals production are submitted while preserving their health and wellness. However, since such institutions often conduct several parallel innovation projects, establishment an infrastructure support those can be costly,...
A way to improve reusability and maintainability of a family software products is through the use Software Product Line (SPL) approach. families, also named SPLs, are set intensive systems sharing common features which managed satisfy specific needs particular market segment or mission that developed from core assets in prescribed way. This paper presents PL-Science approach considers context SPL aims assist scientists define scientific experiment, specifying workflow encompasses...
Genome association analyses have been successful in identifying quantitative trait loci (QTLs) for pig body weights measured at a single age. However, when considering the whole weight trajectories over time context of genome analyses, it is important to look markers that affect growth curve parameters. The easiest way consider them via two-step method, which parameters and marker effects are estimated separately, thereby resulting reduction statistical power precision estimates. One...
The use of sensors in the agricultural domain generates a massive volume heterogeneous data that must be treated, stored, and processed for decision-making. These decisions taken considering diversity devices contextual information, which is often not considered but important to decision-making process. This paper presents an architecture integrate from related precision livestock farms. integration processing these can support decision-making, lead more accurate results enhance agribusiness...
O procedimento de mapeamento por intervalo baseado em modelo aleatório foi aplicado para estudar sua robustez e propriedades no dois QTLs, populações constituídas famílias meios-irmãos. Sob o aleatório, a localização os componentes variância foram estimados usando método da máxima verossimilhança. A estimação dos parâmetros baseada na metodologia pares irmãos. As proporções genes idênticos descendência (IBD) QTLs estimadas partir das IBD marcadores flanqueadores. estimativas (localizações...
Genotype data manipulation is one of the greatest challenges in bioinformatics and genomics mainly because high dimensionality unbalancing characteristics. These peculiarities explains why Relational Database Management Systems (RDBMSs), "de facto" standard storage solution, have not been presented as best tools for this kind data. However, Big Data has pushing development modern database systems that might be able to overcome RDBMSs deficiencies. In context, we extended our previous works...
The increased demand for food worldwide, the reduced land availability livestock production, increasing cost of animal feed and need mitigating livestock-related greenhouse gas emissions have driven search feeding systems that proves more efficient. To tackle this problem, we propose use computational support to help researchers compare data on efficiency, therefore improving economic environmental gains. As a solution, present an integrative architecture capable combining heterogeneous from...