A5053180261- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Genetics and Plant Breeding
- Reproductive Physiology in Livestock
- Effects of Environmental Stressors on Livestock
- Cancer-related molecular mechanisms research
- Aquaculture Nutrition and Growth
- Livestock Management and Performance Improvement
- Animal Nutrition and Physiology
- Genetic diversity and population structure
- Animal Behavior and Welfare Studies
- Reproductive biology and impacts on aquatic species
- Aquaculture disease management and microbiota
- Meat and Animal Product Quality
- Animal Genetics and Reproduction
- Marine and fisheries research
- Livestock Farming and Management
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Fish Ecology and Management Studies
- Genomic variations and chromosomal abnormalities
- Fish biology, ecology, and behavior
- Agricultural Systems and Practices
- Animal Disease Management and Epidemiology
- Evolution and Genetic Dynamics
- Ruminant Nutrition and Digestive Physiology
Universidade Estadual Paulista (Unesp)
2016-2025
Commonwealth Scientific and Industrial Research Organisation
2022-2024
Ministry of Science, Technology and Innovation
2018-2024
National Council for Scientific and Technological Development
2016-2023
Agriculture and Food
2022-2023
Associação Paulista para o Desenvolvimento da Medicina
2023
Universidade de Brasília
2022
Universidade Paulista
2022
Núcleo de Pesquisas Aplicadas (Brazil)
2021
San Antonio College
2020
Abstract Background Birth weight (BW) is an economically important trait in beef cattle, and associated with growth- stature-related traits calving difficulty. One region of the cattle genome, located on Bos primigenius taurus chromosome 14 (BTA14), has been previously shown to be stature by multiple independent studies, contains orthologous genes affecting human height. A genome-wide association study (GWAS) for BW Brazilian Nellore ( indicus ) was performed using estimated breeding values...
Abstract Background Knowledge of the linkage disequilibrium (LD) between markers is important to establish number necessary for association studies and genomic selection. The objective this study was evaluate extent LD in Nellore cattle using a high density SNP panel 795 genotyped steers. Results After data editing, 446,986 SNPs were used estimation LD, comprising 2508.4 Mb genome. mean distance adjacent 4.90 ± 2.89 kb. minor allele frequency (MAF) less than 0.20 considerable proportion...
Abstract Salmonid rickettsial syndrome (SRS), caused by the intracellular bacterium Piscirickettsia salmonis, is one of main diseases affecting rainbow trout (Oncorhynchus mykiss) farming. To accelerate genetic progress, genomic selection methods can be used as an effective approach to control disease. The aims this study were: (i) compare accuracy estimated breeding values using pedigree-based best linear unbiased prediction (PBLUP) with BLUP (GBLUP), single-step GBLUP (ssGBLUP), Bayes C,...
Genotype imputation from low-density (LD) to high-density single nucleotide polymorphism (SNP) chips is an important step before applying genomic selection, since denser tend provide more reliable predictions. Imputation methods rely partially on linkage disequilibrium between markers infer unobserved genotypes. Bos indicus cattle (e.g. Nelore breed) are characterized, in general, by lower levels of genetic at short distances, compared taurine breeds. Thus, it evaluate the accuracy better...
The objective of this study was to perform a genome-wide association (GWAS) detect chromosome regions associated with indicator traits sexual precocity in Nellore cattle. Data from animals belonging farms which participate the DeltaGen® and Paint® animal breeding programs, were used. used occurrence early pregnancy (EP) scrotal circumference (SC). 72,675 females 83,911 males phenotypes used; these, 1,770 1,680 genotyped. SNP effects estimated single-step procedure (WssGBLUP) observed as...
The objective of this study was to identify genomic regions that are associated with meat quality traits in the Nellore breed. steers were finished feedlots and slaughtered at a commercial slaughterhouse. This analysis included 1,822 phenotypic records tenderness 1,873 marbling records. After control, 1,630 animals genotyped for tenderness, 1,633 marbling, 369,722 SNPs remained. results reported as proportion variance explained by windows 150 adjacent SNPs. Only largest effects considered....
ABSTRACT For developing beef cattle breeding programmes, it is essential to understand the genetic basis of economically relevant traits, such as carcass, meat quality and female sexual precocity. However, direct selection most these traits a challenge for producers because high cost measurement difficulty. Genetic correlation estimates between carcass obtained after slaughter precocity indicator in Nellore are limited literature. Thus, this study aimed estimate parameters longissimus muscle...
The availability of high-density panels SNP markers has opened new perspectives for marker-assisted selection strategies, such that genotypes these are used to predict the genetic merit candidates. Because number is often much larger than phenotypes, marker effect estimation not a trivial task. objective this research was compare predictive performance ten different statistical methods employed in genomic selection, by analyzing data from heterogeneous stock mice population. For five traits...
The reproductive performance of bulls has a high impact on the beef cattle industry. Scrotal circumference (SC) is most recorded trait in herds, and used as major selection criterion to improve precocity fertility. characterization genomic regions affecting SC can contribute identification diagnostic markers for uncover molecular mechanisms underlying complex aspects bovine biology. In this paper, we report genome-wide scan chromosome segments explaining differences SC, using data 861...
Saturated fatty acids can be detrimental to human health and have received considerable attention in recent years. Several studies using taurine breeds showed the existence of genetic variability thus possibility improvement acid profile beef. This study identified regions genome associated with saturated, mono- polyunsaturated acids, n-6 n-3 ratios Longissimus thoracis Nellore finished feedlot, single-step method. The results that 115 windows explain more than 1 % additive variance for 22...
Nellore cattle play an important role in beef production tropical systems and there is great interest determining if genomic selection can contribute to accelerate genetic improvement of fertility this breed. We present the first results implementation prediction a Bos indicus (Nellore) population. Influential bulls were genotyped with Illumina Bovine HD chip order assess predictive ability for weight carcass traits, gestation length, scrotal circumference two indices. 685 samples 320 238...
The use of relatively low numbers sires in cattle breeding programs, particularly on those for carcass and weight traits Nellore beef (Bos indicus) Brazil, has always raised concerns about inbreeding, which affects conservation genetic resources sustainability this breed. Here, we investigated the distribution autozygosity levels based runs homozygosity (ROH) a sample 1,278 cows, genotyped over 777,000 SNPs. We found ROH segments larger than 10 Mb 70% samples, representing signatures most...
Apart from single nucleotide polymorphism (SNP), copy number variation (CNV) is another important type of genetic variation, which may affect growth traits and play key roles for the production beef cattle. To date, no genome-wide association study (GWAS) CNV body in cattle has been reported, so present aimed to investigate this one most subspecies: Bos indicus (Nellore breed). We have used intensity data over 700,000 SNP probes across bovine genome detect common CNVs a sample 2230 Nellore...
The objective of this study was to evaluate the accuracy genomic predictions for rib eye area (REA), backfat thickness (BFT), and hot carcass weight (HCW) in Nellore beef cattle from Brazilian commercial herds using different prediction models. Phenotypic data 1756 steers ten Brazil were used. Animals offspring 294 sires 1546 dams, reared on pasture, feedlot finished, slaughtered at approximately 2 years age. All animals genotyped a 777k Illumina Bovine HD SNP chip. Accuracy breeding values...
Animal feeding is the most important economic component of beef production systems. Selection for feed efficiency has not been effective mainly due to difficult and high costs obtain phenotypes. The application genomic selection using SNP can decrease cost animal evaluation as well generation interval. objective this study was compare methods traits different cross-validation layouts in an experimental cattle population genotyped a high-density panel (BovineHD BeadChip assay 700k, Illumina...
Abstract Most of the knowledge about genetic variants at sequence level in cattle is for Bos primigenius taurus populations. Here, we presented a complete genomic characterization 52 Nellore ( indicus ) bulls, revealing specific zebu DNA with putative impact tropical adaptation and productive traits. Single nucleotide polymorphisms (SNPs) insertion/deletion (INDELs) mutations were identified using newest bovine reference genome ARS_UCD1.2, variant functional consequences predicted Ensembl...
Abstract Age at first calving (AFC) plays an important role in the economic efficiency of beef cattle production. This trait can be affected by a combination genetic and environmental factors, leading to physiological changes response heifers’ adaptation wide range environments. Genome-wide association studies through reaction norm model were carried out identify genomic regions associated with AFC Nellore heifers, raised under different conditions (EC). The SNP effects for estimated three...
Abstract Genomic selection (GS) offers a promising opportunity for selecting more efficient animals to use consumed energy maintenance and growth functions, impacting profitability environmental sustainability. Here, we compared the prediction accuracy of multi-layer neural network (MLNN) support vector regression (SVR) against single-trait (STGBLUP), multi-trait genomic best linear unbiased (MTGBLUP), Bayesian (BayesA, BayesB, BayesC, BRR, BLasso) feed efficiency (FE) traits. FE-related...
Stayability, which may be defined as the probability of a cow remaining in herd until reference age or at specific number calvings, is usually measured late animal's life. Thus, if used selection criteria, it will increase generation interval and consequently might decrease annual genetic gain. Measuring stayability an earlier could reasonable strategy to avoid this problem. In sense, better understanding architecture trait different ages and/or calvings important. This study was conducted...
We performed a genome-wide association study to detect markers associated with growth traits in Atlantic salmon. The analyzed included body weight at tagging (BWT) and 25 months (BW25M). Genotypes of 4662 animals were imputed from the 50K SNP chip 200K using fimpute software. simultaneously modeled Bayes C identify genomic regions traits. identified windows explaining maximum 3.71% 3.61% genetic variance for BWT BW25M respectively. found potential candidate genes located within top ten 1-Mb...
Selection of cattle that are less sensitive to environmental variation in unfavorable environments and more adapted harsh conditions is primary importance for tropical beef production systems. Understanding the genetic background sensitivity necessary developing strategies tools increase efficiency sustainability production. We evaluated degree performance variation, at animal molecular marker levels (412 K single nucleotide polymorphisms), by fitting comparing results different reaction...