A5047713973- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Effects of Environmental Stressors on Livestock
- Meat and Animal Product Quality
- Cancer-related molecular mechanisms research
- Genetics and Plant Breeding
- Animal Behavior and Welfare Studies
- Reproductive Physiology in Livestock
- Livestock Farming and Management
- Ruminant Nutrition and Digestive Physiology
- Genomic variations and chromosomal abnormalities
- T-cell and Retrovirus Studies
- Wheat and Barley Genetics and Pathology
- Growth Hormone and Insulin-like Growth Factors
- Natural Products and Biological Research
Virginia Tech
2021-2024
Oklahoma State University
2024
University of California, Davis
2022
Brazilian Agricultural Research Corporation
2022
Universidade Estadual Paulista (Unesp)
2018-2021
Universidade Federal de Santa Catarina
2018
Abstract The aim of this study was to estimate genetic parameters for different precocious calving criteria and their relationship with reproductive, growth, carcass feed efficiency in Nellore cattle using the single‐step genomic BLUP . reproductive traits used were probability ( PPC ) at 24 24), 26 26), 28 28) 30 30) months age, stayability STAY scrotal circumference 455 days age SC 455). Growth such as weights 240 (W240) (W455) adult weight AW used. Rib eye area REA ), subcutaneous fat...
Abstract The aim of this study was to assess the distribution runs homozygosity (ROH) and autozygosity islands in composite Montana Tropical ® beef cattle explore hotspot regions which could better characterize different biological types within breed. animals ( n = 1,436) were genotyped with GGP‐LD BeadChip (~30,000 markers). ROH identified every individual using plink v1.90 software. Medium long prevailed genome, accounted for approximately 74% all detected. On an average, 2.0% genome ROH,...
Abstract This study aimed to estimate (co)variance components and genetic parameters for calving ease (CE) their correlations with growth, reproductive, carcass, feed efficiency traits in Nellore cattle. Phenotypes CE are scored two categories: normal assisted calving. The considered were probability of precocious calving, age at first stayability, adjusted scrotal circumference 365 days age, accumulated cow productivity, puberty males, gestation length, birth weight, weights 210 450 adult...
Selecting animals for feed efficiency directly impacts the profitability of beef cattle industry, which contributes to minimizing environmental footprint production. Genetic and factors influence animal efficiency, leading phenotypic variability when exposed different conditions (i.e., temperature nutritional level). Thus, our aim was assess potential genotype-by-environment (G × E) interactions dry matter intake (DMI) residual (RFI) in Nellore (Bos taurus indicus) based on bi-trait reaction...
Abstract The aim of this study was to evaluate the genomic predictions using single‐step best linear unbiased predictor (ssGBLUP) method based on SNPs and haplotype markers associated with beef fatty acids (FAs) profile in Nelore cattle. data set contained records from 963 bulls finished feedlot (±90 days) slaughtered approximately 24 months age. Meat samples Longissimus dorsi muscle were taken for FAs measurement. quantified by gas chromatography a SP‐2560 capillary column. Animals...
Animal dimensions are essential indicators for monitoring their growth rate, diet efficiency, and health status. A computer vision system is a recently emerging precision livestock farming technology that overcomes the previously unresolved challenges pertaining to labor cost. Depth sensor cameras can be used estimate depth or height of an animal, in addition two-dimensional information. Collecting top-view images common evaluating body mass conformational traits species. However, image data...
Context Indicine breeds are the main source of beef products in tropical and subtropical regions. However, genetic improvement for carcass- meat-quality traits zebu cattle have been limited genomics studies concerning structural variations that influence these essential. Aim The aim this study was to perform a genome-wide association between copy number variation regions (CNVRs) meat quality-traits Nellore cattle. Methods In total, 3794 animals, males females included, were genotyped using...
Gene-gene interactions cause hidden genetic variation in natural populations and could be responsible for the lack of replication that is typically observed complex traits studies. This study aimed to identify gene-gene using empirical Hilbert-Schmidt Independence Criterion method test epistasis beef fatty acid profile Nellore cattle. The dataset contained records from 963 bulls, genotyped a 777 962k SNP chip. Meat samples Longissimus muscle, were taken measure composition, which was...
Growth and carcass traits are essential selection criteria for beef cattle breeding programs. However, it is necessary to combine these measurements with body composition meet the demand of consumer market. This study aimed estimate genetic parameters visual scores, growth (pre post-weaning weights), (rib eye area (REA), back rump fat thickness) in Nellore using Bayesian inference. Data from 12,060 animals belonging HoRa Hofig Ramos herd were used. Morphological evaluated by MERCOS...
Abstract This study aimed to estimate variance components (VCs) for growth and reproductive traits in Nellore cattle using two relationship matrices (pedigree A matrix pedigree plus genomic H matrix), records collected before after selection (GS) implementation. The also evaluated how breeding values (GEBV) are affected by discarding old records. analysed were weight at 120 days (W120), scrotal circumference 450 (W450 SC450, respectively). Three datasets used VCs, including all phenotypic...
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Abstract An important criterion to consider in genetic evaluations is the extent of connectedness across management units (MU), especially if they differ their mean. Reliable comparisons values MU depend on degree connectedness: higher connectedness, more reliable comparison. Traditionally, was calculated through pedigree-based methods; however, era genomic selection, this can be better estimated utilizing new approaches based genomics. Most procedures only additive effects, which may not...
Abstract Growth and carcass traits are essential selection criteria for beef cattle breeding programs. However, it is necessary to combine these measurements with body composition meet the demand of consumer market. This study aimed estimate genetic parameters visual scores, growth (pre post-weaning weights), (rib eye area (REA), back rump fat thickness) in Nellore using Bayesian inference. Data from 12,060 animals belonging HoRa Hofig Ramos farm were used. Morphological evaluated by MERCOS...
Abstract Animal dimensions are important indicators for monitoring the growth rates, diet efficiency, and health status of animals. A computer vision system is one recently emerging precision livestock farming technologies to overcome previously unresolved challenges pertaining labor cost. It common practice collect top-view depth images evaluating body mass or conformation traits. However, in image data acquisition process, some manual interventions often involved controlling a camera from...