Genetic parameters for traditional and novel ultrasound carcass traits in Nellore cattle

2022 ◽  
Vol 54 (1) ◽  
Author(s):  
B. S. Marestone ◽  
R. A. A. Torres Junior ◽  
L. O. C. Silva ◽  
G. R. O. Menezes ◽  
C. A. S. D. Muniz ◽  
...  
2011 ◽  
Vol 137 (1-3) ◽  
pp. 231-237 ◽  
Author(s):  
Fábio Luiz Buranelo Toral ◽  
Vanerlei Mozaquatro Roso ◽  
Cláudio Vieira de Araújo ◽  
João Cruz Reis Filho

2006 ◽  
Vol 104 (1-2) ◽  
pp. 46-52 ◽  
Author(s):  
I. Nagy ◽  
N. Ibáñez ◽  
R. Romvári ◽  
W. Mekkawy ◽  
Sz. Metzger ◽  
...  

2002 ◽  
Vol 80 (4) ◽  
pp. 955-962 ◽  
Author(s):  
D. G. Riley ◽  
C. C. Chase ◽  
A. C. Hammond ◽  
R. L. West ◽  
D. D. Johnson ◽  
...  

2016 ◽  
Vol 15 (2) ◽  
Author(s):  
S.L.C. Meirelles ◽  
F.B. Mokry ◽  
A.C. Espasandín ◽  
M.A.D. Dias ◽  
M.M. Baena ◽  
...  

2020 ◽  
Vol 33 (4) ◽  
pp. 525-530 ◽  
Author(s):  
Byoungho Park ◽  
Tae Jeong Choi ◽  
Mi Na Park ◽  
Sang-Hyon Oh

Objective: The purpose of this study was i) to identify the characteristics of carcass traits in Chikso by gender, region, age at slaughter, and coat color using the carcass data collected from the nationwide pedigree information and coat color investigation, and ii) to estimate genetic parameters for breed improvement.Methods: A linear model was used to analyze the environmental effects on the carcass traits and to estimate genetic parameters. Analysis of variance was performed using TYPE III sum of squares for the unbalanced data provided by the general linear model procedure. Variance components for genetic parameters was estimated using REMLF90 of the BLUPF90 family programs.Results: Phenotypic performance of carcass weight (CW), eye muscle area (EMA), and backfat thickness (BF) in Chikso were lower than those of Hanwoo. This is a natural outcome because Hanwoo have undergone significant efforts for improvement at the national level, a phenomenon not observed in Chikso. Another factor influencing the above outcome was the smaller population size of Chikso compared to that of Hanwoo’s. The heritabilities of CW, EMA, BF, and marbling score in Chikso were estimated as 0.50, 0.37, 0.35, and 0.53, respectively, which were was higher than those of Hanwoo.Conclusion: Based on the genetic parameters that were estimated in this study, it is expected that the carcass traits will improve when the livestock research institutes at each province conduct small-scale performance tests and the semen is provided to farmers after selecting proven bulls using the state-of-art selection technique such as genomic selection.


animal ◽  
2019 ◽  
Vol 13 (5) ◽  
pp. 924-932 ◽  
Author(s):  
R. Davoli ◽  
G. Catillo ◽  
A. Serra ◽  
M. Zappaterra ◽  
P. Zambonelli ◽  
...  

Animals ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 779 ◽  
Author(s):  
Hannah E. Willson ◽  
Hinayah Rojas de Oliveira ◽  
Allan P. Schinckel ◽  
Daniela Grossi ◽  
Luiz F. Brito

More recently, swine breeding programs have aimed to include pork quality and novel carcass (e.g., specific primal cuts such as the Boston butt or belly that are not commonly used in selection indexes) and belly traits together with growth, feed efficiency and carcass leanness in the selection indexes of terminal-sire lines, in order to efficiently produce pork with improved quality at a low cost to consumers. In this context, the success of genetic selection for such traits relies on accurate estimates of heritabilities and genetic correlations between traits. The objective of this study was to estimate genetic parameters for 39 traits in Duroc pigs (three growth, eight conventional carcass (commonly measured production traits; e.g., backfat depth), 10 pork quality and 18 novel carcass traits). Phenotypic measurements were collected on 2583 purebred Duroc gilts, and the variance components were estimated using both univariate and bivariate models and REML procedures. Moderate to high heritability estimates were found for most traits, while genetic correlations tended to be low to moderate overall. Moderate to high genetic correlations were found between growth, primal-cuts and novel carcass traits, while low to moderate correlations were found between pork quality and growth and carcass traits. Some genetic antagonisms were observed, but they are of low to moderate magnitude. This indicates that genetic progress can be achieved for all traits when using an adequate selection index.


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