Genetic analysis of growth, visual scores, height, and carcass traits in Nelore cattle

2021 ◽  
Vol 92 (1) ◽  
Author(s):  
Daniel Duarte Silveira ◽  
Patrícia Iana Schmidt ◽  
Gabriel Soares Campos ◽  
Lucas Vargas ◽  
Fabio Ricardo Pablos Souza ◽  
...  
Meat Science ◽  
2012 ◽  
Vol 91 (3) ◽  
pp. 352-357 ◽  
Author(s):  
R.G. Zuin ◽  
M.E. Buzanskas ◽  
S.L. Caetano ◽  
G.C. Venturini ◽  
D.G.F. Guidolin ◽  
...  

2019 ◽  
Vol 99 (2) ◽  
pp. 296-306
Author(s):  
Daniel Duarte da Silveira ◽  
Lucas De Vargas ◽  
Rodrigo Junqueira Pereira ◽  
Gabriel Soares Campos ◽  
Ricardo Zambarda Vaz ◽  
...  

The aim of this study was to evaluate the genetic variability, genetic and phenotypic associations, and genetic gains of birth (BW), weaning (WW), and yearling (YW) weights, loin muscle area (LMA), backfat thickness (BF), rump fat thickness (RF), scores of body structure (BS), finishing precocity (FS), and muscling (MS) in Nelore cattle. Genetic parameters were obtained through Bayesian inference using BLUPF90 programs. All studied traits showed genetic variability, with heritability ranging from 0.29 to 0.47. In all studied ages, weights presented positive genetic correlations with LMA (ranging from 0.13 to 0.53), being generally stronger in comparison with the other carcass traits analyzed (BF and RF). Similarly, weights were higher genetic associated with BS (0.47–0.92) than with FS (0.18–0.62) and MS (0.22–0.65), respectively. The BF and RF showed positive and moderate genetic associations with FS and MS (0.31–0.36). Genetic trends were significant (P < 0.05) and favorable for WW, YW, and visual scores. Selection for increasing BW, WW, YW, and LMA will result in modest or no change in BF and RF (correlated response ranging from −0.04 to 0.07 mm per generation). In this population, carcass traits must be included in the selection indexes to obtain genetic gains in carcass quality, if desired.


2019 ◽  
Vol 128 ◽  
pp. 47-53 ◽  
Author(s):  
P.I. Schmidt ◽  
G.S. Campos ◽  
V.M. Roso ◽  
F.R.P. Souza ◽  
A.A. Boligon

Meta Gene ◽  
2015 ◽  
Vol 4 ◽  
pp. 1-7 ◽  
Author(s):  
Patrícia D. da S. Fonseca ◽  
Fábio R.P. de Souza ◽  
Gregório M.F. de Camargo ◽  
Fernanda M.M. Gil ◽  
Diercles F. Cardoso ◽  
...  

BMC Genomics ◽  
2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Bárbara Silva-Vignato ◽  
Luiz L. Coutinho ◽  
Mirele D. Poleti ◽  
Aline S. M. Cesar ◽  
Cristina T. Moncau ◽  
...  

2017 ◽  
Vol 95 (6) ◽  
pp. 2379
Author(s):  
G. Vargas ◽  
H. H. R. Neves ◽  
V. Cardoso ◽  
D. P. Munari ◽  
R. Carvalheiro

2005 ◽  
Vol 83 (4) ◽  
pp. 764-776 ◽  
Author(s):  
A. Ríos-Utrera ◽  
L. V. Cundiff ◽  
K. E. Gregory ◽  
R. M. Koch ◽  
M. E. Dikeman ◽  
...  

2015 ◽  
Vol 48 (1) ◽  
pp. 207-210 ◽  
Author(s):  
Daniela do Amaral Grossi ◽  
Mariana Piatto Berton ◽  
Marcos Eli Buzanskas ◽  
Tatiane Cristina Seleguim Chud ◽  
Natália Vinhal Grupioni ◽  
...  

2021 ◽  
Vol 37 ◽  
pp. e37081
Author(s):  
Bruna Suellen Borges Resende Bezerra ◽  
Mariana Mundim Alves Gomes ◽  
Danilo Rodrigues Boaventura ◽  
Aline Maria Soares Ferreira ◽  
Egleu Diomedes Marinho Mendes ◽  
...  

The purpose of this study was to estimate the phenotypic associations between residual food intake (RFI) and carcass traits, evaluated by ultrasonography, of young Nellore bulls. Information about 53 young Nelore bulls, pure origin (PO), participants in the Individual Performance Test of Nelore Bulls, carried out at the Capim Branco experimental farm of the Federal University of Uberlândia (UFU) were used for this purpose. It was evaluated the characteristics of residual feed intake (RFI), rib eye area (REA), marbling (MAR) and fat thickness (FT). In order to estimate the Spearman and Pearson correlation coefficients, the SAS program was used. Regarding the influence of the RFI classes (low RFI, medium RFI and high RFI) on carcass traits, an out analysis of variance was carried out using the least squares method. It was verified that there was no phenotypic association between RFI and the characteristics of REA and MAR, but the relation between FT and the phenotypic association revealed a medium magnitude. However, when evaluating the RFI classes, it was observed that there were no significant differences of the RFI classes with the carcass traits (REA, FT and MAR). It is recommended that new studies are carried out to verify if the selection for RFI does not result in damages to the finishing of carcass in Nelore cattle.


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