Genetic parameter estimates for live animal ultrasound measures of carcass traits in South African Angus cattle

M. M. Seroba, A. Maiwashe, K. A. Nephawe, D. Norris

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Genetic parameters were estimated for body weight at scanning (SCW) and live animal ultrasound measures of rump fat thickness (P8FT), rib fat thickness (RBFT), rib eye-muscle area (REA) and intramuscular fat percentage (IMF) for South African Angus beef cattle. A multiple-trait animal model was used to estimate genetic parameters using the Residual Maximum Likelihood procedure (REML). Ultrasound data was used on 1 122 animals that participated in the South African National Beef Cattle Improvement Scheme. The fixed effects that were significant included contemporary group, sex and age of the animal at scanning. Random effects considered were the direct additive genetic effect and the residual. Heritability estimates were 0.38 ± 0.08, 0.34 ± 0.06, 0.33 ± 0.05, 0.32 ± 0.06 and 0.38 ± 0.06 for SCW, P8FT, RBFT, REA and IMF respectively. Genetic correlation between SCW and REA was high (0.79 ± 0.07). Genetic correlations with SCW were 0.24 ± 0.14 for P8FT, 0.25 ± 0.12 for RBFT and 0.29 ± 0.11 for IMF. Measures of body fat were genetically highly correlated with one another, with correlations ranging from 0.71 to 0.99. The magnitude of heritability estimates obtained in the current study indicates that genetic improvement for ultrasound indicators of carcass traits should be effective. However, the indirect selection of carcass traits using ultrasound data, should consider the antagonistic genetic relationship between subcutaneous and intramuscular fat.

Original languageEnglish
Pages (from-to)243-249
Number of pages7
JournalSouth African Journal of Animal Sciences
Volume41
Issue number3
DOIs
Publication statusPublished - 2011

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Angus
ribs
carcass characteristics
fat thickness
intramuscular fat
cattle
animals
eyes
beef cattle
muscles
genetic correlation
heritability
rump
animal age
subcutaneous fat
body fat
genetic relationships
genetic improvement
animal models
body weight

All Science Journal Classification (ASJC) codes

  • Animal Science and Zoology

Cite this

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title = "Genetic parameter estimates for live animal ultrasound measures of carcass traits in South African Angus cattle",
abstract = "Genetic parameters were estimated for body weight at scanning (SCW) and live animal ultrasound measures of rump fat thickness (P8FT), rib fat thickness (RBFT), rib eye-muscle area (REA) and intramuscular fat percentage (IMF) for South African Angus beef cattle. A multiple-trait animal model was used to estimate genetic parameters using the Residual Maximum Likelihood procedure (REML). Ultrasound data was used on 1 122 animals that participated in the South African National Beef Cattle Improvement Scheme. The fixed effects that were significant included contemporary group, sex and age of the animal at scanning. Random effects considered were the direct additive genetic effect and the residual. Heritability estimates were 0.38 ± 0.08, 0.34 ± 0.06, 0.33 ± 0.05, 0.32 ± 0.06 and 0.38 ± 0.06 for SCW, P8FT, RBFT, REA and IMF respectively. Genetic correlation between SCW and REA was high (0.79 ± 0.07). Genetic correlations with SCW were 0.24 ± 0.14 for P8FT, 0.25 ± 0.12 for RBFT and 0.29 ± 0.11 for IMF. Measures of body fat were genetically highly correlated with one another, with correlations ranging from 0.71 to 0.99. The magnitude of heritability estimates obtained in the current study indicates that genetic improvement for ultrasound indicators of carcass traits should be effective. However, the indirect selection of carcass traits using ultrasound data, should consider the antagonistic genetic relationship between subcutaneous and intramuscular fat.",
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Genetic parameter estimates for live animal ultrasound measures of carcass traits in South African Angus cattle. / Seroba, M. M.; Maiwashe, A.; Nephawe, K. A.; Norris, D.

In: South African Journal of Animal Sciences, Vol. 41, No. 3, 2011, p. 243-249.

Research output: Contribution to journalArticle

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AU - Nephawe, K. A.

AU - Norris, D.

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