Genetic Parameters for Selected Beef-Carcass Traits

Brackelsberg, P. O.; Kline, E. A.; William, R. L.; Hazel, L. N.

doi:10.2527/jas1971.33113x

Cited by 21 publications

(28 citation statements)

References 3 publications

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“…Phenotypic correlations among fat composition traits were positive and slight to moderate in magnitude. Previously published findings also displayed the same trend but correlations were moderate to high in magnitude (Blackwell et al, 1962;Shelby et al, 1963;Cundiff et al, 1964;Swiger et al, 1965;Brackelsberg et al, 1971;Koch, 1978;Koch et al, 1982). Correlations among lean-meat-yielding traits were positive and of moderate t o high magnitude.…”

Section: Resultssupporting

confidence: 71%

Paternal half-sib heritabilities and genetic, environmental, and phenotypic correlation estimates from randomly selected Hereford cattle

Veseth

Reynolds

Urick

et al. 1993

Journal of Animal Science

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Growth and carcass data were collected during 10 yr at the Fort Keogh Livestock and Range Research Laboratory in Miles City, MT from a Hereford herd selected at random. The objective was to compare genetic parameter estimates from this randomly selected herd with estimates from published selection studies. Only bulls were included in the data set. Bulls were slaughtered between 14 and 17 mo of age. Genetic parameters were estimated by the paternal half-sib procedure. Data were subdivided into three subgroups: 1) all bulls that had birth weights, 2) bulls with complete records for growth traits, and 3) bulls with complete carcass and growth records. The heritability estimate for birth weight on 736 progeny from 86 sires was .18. The second group included 616 progeny representing 85 sires and heritability estimates were weaning weight, .17; daily gain from birth to weaning, .20; final test weight, .42; and daily gain on test, .47. The third group included 401 progeny from 75 sires and heritability estimates were carcass weight, .38; longissimus muscle area, .51; marbling, .31; slaughter weight, .42; and dressing percentage, .25. Thus, these estimates of heritability were in quite good agreement with previously published values, with a tendency for these estimates to be lower for early growth weights. Phenotypic and environmental correlations were in good agreement and genetic correlations were in general agreement with the data reviewed. Estimates of heritabilities from this herd selected at random were not larger than previous estimates from selected herds.

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Section: Resultssupporting

confidence: 71%

Paternal half-sib heritabilities and genetic, environmental, and phenotypic correlation estimates from randomly selected Hereford cattle

Veseth

Reynolds

Urick

et al. 1993

Journal of Animal Science

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“…Shanks et al (2001) determined that constant age and weight adjustments provided similar estimates of r g (0.17 and 0.18), but estimates adjusted for age (0.30) and weight (0.41) by Devitt and Wilton (2001) tended to be different. In published studies with only one kind of adjustment, a wide range (−0.83 to 0.73) of estimates has been reported: high and negative (Gilbert et al, 1993), low and negative (Wilson et al, 1993;Hirooka et al, 1996), low and positive (Koch et al, 1982;Arnold et al, 1991;Pariacote et al, 1998), and moderate and positive (Dinkel and Busch, 1973;Wilson et al, 1976;Kemp et al, 2002), which agree closely with present estimates, and moderately high and positive (Brackelsberg et al, 1971;Koch, 1978;Lamb et al, 1990). On either an age-or a weight-constant basis, AFT was estimated to be strongly associated genetically with YG (0.86 and 0.85) and PRP (−0.85 and −0.82).…”

Section: Effect Of Endpoint On Estimates Of Genetic Correlationssupporting

confidence: 81%

“…Other researchers obtained greater discrepancies. Heritability for KPH was estimated to be 0.72 (quality grade-constant) by Brackelsberg et al (1971), 0.83 by Koch et al (1982), and 0.60 by Splan et al (2002). Wilson et al (1976) for crossbred cattle, and Elzo et al (1998) for Angus cattle, reported zero or nearzero estimates of h 2 , which are less than the current estimate.…”

Section: Effect Of Endpoint On Heritability Estimatescontrasting

confidence: 43%

Genetic analysis of carcass traits of steers adjusted to age, weight, or fat thickness slaughter endpoints1

Utrera

Cundiff

Gregory

et al. 2005

Journal of Animal Science

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Rios-Utrera, A.; Cundiff, L. V.; Gregory, K. E.; Koch, R. M.; Dikeman, M. E.; Koohmaraie, M.; and Van Vleck, L. Dale, "Genetic analysis of carcass traits of steers adjusted to age, weight, or fat thickness slaughter endpoints" (2005 2 ), KPH (%), marbling score (MS), yield grade (YG), predicted percentage of retail product (PRP), retail product weight (RPW, kg), fat weight (FW, kg), bone weight (BNW, kg), actual percentage retail product (RPP), fat percent (FP), and bone percent. Fixed effects in the model included breed group, feed energy level, dam age, birth year, significant (P < 0.05) interactions, covariate for days on feed, and the appropriate covariate for endpoint nested (except age) within breed group. Random effects in the model were additive genetic effect of animal and total maternal effect of dam. Parameters were estimated by REML. For some traits, estimates of h 2 and phenotypic variance changed with different endpoints. Estimates of h 2 for HCW, DP, RPW, and BNW at constant age, weight, or fat thickness were 0. 27, -, and 0.41; 0.19, 0.26, and 0.18; 0.42, 0.32, and

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“…Furthermore, because of the cost of undertaking carcass dissections, previous studies reporting heritability estimates used relatively small populations (n 5 503, Cundiff et al (1969); n 5 257, Brackelsberg et al (1971); n 5 413 to 635, Pabiou et al (2009)). In those studies, heritability estimates for wholesale cuts were generally moderate to high.…”

Section: Wholesale Cut Weightsmentioning

confidence: 99%

Genetic variation in wholesale carcass cuts predicted from digital images in cattle

Pabiou

Fikse

Amer³

et al. 2011

Animal

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The objective of this study was to quantify the genetic variation in carcass cuts predicted using digital image analysis in commercial cross-bred cattle. The data set comprised 38 404 steers and 14 318 heifers from commercial Irish herds. The traits investigated included the weights of lower value cuts (LVC), medium value cuts (MVC), high value cuts (HVC), very high value cuts (VHVC) and total meat weight. In addition, the weights of total fat and total bones were available on the steers. Heritability of carcass cut weights, within gender, was estimated using an animal linear model, whereas genetic and phenotypic correlations among cuts were estimated using a sire linear model. Carcass weight was included as a covariate in all models. In the steers, heritability ranged from 0.13 (s.e. 5 0.02) for VHVC to 0.49 (s.e. 5 0.03) for total bone weight, and in the heifers heritability ranged from 0.15 (s.e. 5 0.04) for MVC to 0.72 (s.e. 5 0.06) for total meat weight. The coefficient of genetic variation for the different cuts varied from 1.4% to 3.6%. Genetic correlations between the different cut weights were all positive and ranged from 0.45 (s.e. 5 0.08) to 0.89 (s.e. 5 0.03) in the steers, and from 0.47 (s.e. 5 0.14) to 0.82 (s.e. 5 0.06) in the heifers. Genetic correlations between the wholesale cut weights and carcass conformation ranged from 0.32 (s.e. 5 0.06) to 0.45 (s.e. 5 0.07) in the steers, and from 0.10 (s.e. 5 0.12) to 0.38 (s.e. 5 0.09) in the heifers. Genetic correlations between the same wholesale cut traits in steers and heifers ranged from 0.54 (s.e. 5 0.14) for MVC to 0.79 (s.e. 5 0.06) for total meat weight; genetic correlations between carcass weight and carcass classification for conformation and fat score in both genders varied from 0.80 to 0.87. The existence of genetic variation in carcass cut traits, coupled with the routine availability of predicted cut weights from digital image analysis, clearly shows the potential to genetically improve carcass value.

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Genetic Parameters for Selected Beef-Carcass Traits

Cited by 21 publications

References 3 publications

Paternal half-sib heritabilities and genetic, environmental, and phenotypic correlation estimates from randomly selected Hereford cattle

Paternal half-sib heritabilities and genetic, environmental, and phenotypic correlation estimates from randomly selected Hereford cattle

Genetic analysis of carcass traits of steers adjusted to age, weight, or fat thickness slaughter endpoints1

Genetic variation in wholesale carcass cuts predicted from digital images in cattle

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