Publications by authors named "Adrielle Matias Ferrinho"
Comparison between haplotype-based and individual snp-based genomic predictions for beef fatty acid profile in Nelore cattle.
J Anim Breed Genet
September 2020
Article Synopsis
- The study aimed to assess genomic predictions for beef fatty acids in Nelore cattle using the single-step genomic best linear unbiased predictor (ssGBLUP) method with SNPs and haplotype markers.
- It analyzed data from 963 Nelore bulls, focusing on fat composition in their meat, where gas chromatography was used to quantify fatty acids after genomic quality control reduced the SNPs to 469,981 from a larger initial set.
- The findings indicated low to moderate predictive accuracies for both SNP-based and haplotype-based approaches, but suggest that genetic improvement can still be achieved through genomic selection, especially favoring the SNP-based method for practicality and reduced bias.
The study evaluated the effect of gender status on carcass and meat quality of feedlot Angus × Nellore cattle. A total of 176 cattle, 20 months old, were confined for 190-days and assigned to four treatments: bulls, immunocastrated, steers, and heifers. Bulls had greater rib eye area and HCW (p = 0.
View Article and Find Full Text PDFGenetic correlation estimates between beef fatty acid profile with meat and carcass traits in Nellore cattle finished in feedlot.
J Appl Genet
February 2017
The objective of this study was to estimate the genetic-quantitative relationships between the beef fatty acid profile with the carcass and meat traits of Nellore cattle. A total of 1826 bulls finished in feedlot conditions and slaughtered at 24 months of age on average were used. The following carcass and meat traits were analysed: subcutaneous fat thickness (BF), shear force (SF) and total intramuscular fat (IMF).
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