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Genetic and environmental factors affecting ultrasound measures of longissimus muscle area and backfat thickness in Nelore cattle

Authors :
Josineudson Augusto Ii de Vasconcelos Silva
Raysildo Barbosa Lôbo
Roberto Daniel Sainz
Luiz Antonio Framartino Bezerra
F. R. C. Araujo
Marcos Jun Iti Yokoo
Lucia Galvão de Albuquerque
Source :
Livestock Science. 117:147-154
Publication Year :
2008
Publisher :
Elsevier BV, 2008.

Abstract

The aim of the present study was to evaluate the genetic and environmental factors affecting records of longissimus muscle area (LMA) and backfat thickness (BF) obtained between the 12th and 13th ribs, and rump fat thickness (RF) between the hook and pin bones, measured by real-time ultrasound in Nelore cattle. Also, weight records of 22,778 animals born from 1998 to 2003, in ten farms across six Brazilian states were used. Carcass traits as measured by ultrasound of the live animal were recorded from 2002 to 2004 in 2590 males and females with ages varying from 450 to 599 days. Fixed models including farm, year and season of birth, sex and type of feed effects, and the covariates age of dam (AOD) and age of animal at measurement were used to study the effect of environmental factors on these traits. The genetic parameters for LMA, BF and RF were estimated with two and three-trait animal models with 120-day weights using a restricted maximum likelihood method. All environmental effects significantly affected carcass traits, with the exception of year of birth for BF and RF and AOD for LMA. The heritability estimates for LMA, BF and RF were 0.35, 0.51 and 0.39, respectively. Standard errors obtained in one-trait analyses were from 0.07 to 0.09. Genetic correlation estimates between LMA and the two traits of subcutaneous fat were low (close to zero) and 0.74 between BF and RF, indicating that the selection for LMA should not cause antagonism in the genetic improvement of subcutaneous fat measured by real-time ultrasound.

Details

ISSN :
18711413
Volume :
117
Database :
OpenAIRE
Journal :
Livestock Science
Accession number :
edsair.doi...........fb4ab48c8563a8051a7270cc6bea6d33
Full Text :
https://doi.org/10.1016/j.livsci.2007.12.006