Funpec-RpAbout The JournalEditorial BoardCurrent IssueAll IssuesSearchIndexersInstructions For AuthorsContactSponsorsLinks

Review
Heritability estimates for carcass traits of cattle: a review
Angel Ríos Utrera1 and Lloyd Dale Van Vleck2
1Department of Animal Science, University of Nebraska, Lincoln, NE, USA
2USDA, ARS, Roman L. Hruska U.S. Meat Animal Research Center, Lincoln, NE, USA
Corresponding author: L.D. Van Vleck
E-mail: [email protected]
Genet. Mol. Res. 3 (3): 380-394 (2004)
Received March 10, 2004
Accepted July 1, 2004
Published September 30, 2004

ABSTRACT. We present estimates of heritability for carcass traits of cattle published in the scientific literature. Seventy-two papers published from 1962 to 2004, which reported estimates of heritability for carcass traits, were reviewed. The unweighted means of estimates of heritability for 14 carcass traits by slaughter end point (age, weight, and fat depth) were calculated. Among the three end points, carcass weight, backfat thickness, longissimus muscle area, and marbling score were the carcass traits with the most estimates of heritability (56£ n £66). The averages for these traits indicate that they are similarly and moderately heritable (0.40, 0.36, 0.40, and 0.37, respectively). However, heritability estimates for most traits varied greatly, which could be due to differences in breed groups, methods of estimation, effects in the model, number of records, measurement errors, sex, and management. Few studies have compared heritability estimates for carcass traits adjusted to different end points. Results from such studies have been inconsistent, although some studies revealed that heritability estimates for several carcass traits are sensitive to the covariate included in the model for the end point, implying that direct response to selection would be different for some traits depending on slaughter end point. The effect of different end points on estimates of heritability for many carcass traits has not been studied.

Key words: Cattle, Carcass traits, Heritability, Slaughter end points

INTRODUCTION

An exhaustive review of estimates of heritability for a broad spectrum of beef production traits published in the scientific literature was conducted by Koots et al. (1994), but their review did not include other important carcass traits (e.g., kidney, pelvic, and heart fat percentage, yield grade, fat weight) and due to the purpose of their study, individual estimates of heritability for the traits reviewed were not reported, but only the weighted and unweighted averages. On the other hand, the review by Marshall (1994) reported estimates of heritability for some additional carcass traits, but only for cattle reared under U.S. conditions and, basically, estimates presented were on an age-constant or time-in-feedlot-constant basis. In addition, because of the limited number of estimates for the additional traits at that time, averages of estimates of heritability for several carcass traits were based on only one to three observations. Neither of these two reviews focused on the effect of end point on estimates of heritability.

During the last ten years, as a consequence of the increased interest of many beef producers in carcass yield and quality to satisfy consumer demand, numerous studies of carcass traits have published estimates of heritability, doubling, at least, the number of estimates for many carcass traits. We reviewed estimates of heritability for carcass traits published in the scientific literature. Because animals are slaughtered at, or carcass traits are adjusted to, different end points, the effects of age, weight, and finish end points on such estimates were also examined.

MATERIAL AND METHODS

Seventy-two papers published in the scientific literature from 1962 to 2004 that reported estimates of heritability for carcass traits of cattle were reviewed. The number and the unweighted means of estimates of heritability for each carcass trait by slaughter end point (slaughter age, slaughter weight, backfat thickness) were calculated. The number, the unweighted means, and the ranges of estimates of heritability over the three different end points were also calculated. Standard errors were not reported for many heritability estimates and several different methods of estimation were used (e.g., animal model, son on sire regression, paternal half-sib covariance). Therefore, weighted means of heritability were not calculated. Papers that did not specify at which end point animals were slaughtered or to which end point carcass traits were adjusted were not included in this review. Traits included in this review were carcass weight, dressing percentage, backfat thickness, longissimus muscle area, kidney, pelvic, and heart fat percentage, marbling score, yield grade, predicted percentage of retail product, retail product weight, fat weight, bone weight, actual retail product percentage, fat percentage, and bone percentage.

RESULTS

Estimates of heritability, number of estimates and unweighted mean estimates of heritability for 14 carcass traits measured at, or adjusted to, constant age, weight or backfat thickness end points reported in the scientific literature from 1962 to 2004 were recorded (Table 1). References repeated in two or three categories compared estimates of heritability adjusted to two or three different end points; otherwise, only one kind of adjustment was performed. The exception is Fouilloux et al. (1999), who reported estimates of heritability for dressing percentage at constant age and at constant weight, but estimates were for different breeds (Limousin and Charolais, respectively). The age-constant category includes estimates of heritability on an age-constant or time-on-feed-constant basis. Those in the weight-constant category are estimates of heritability that were adjusted for weight at slaughter or for carcass weight.













Carcass weight

Carcass weight had many estimates of heritability (N = 56). Estimates were adjusted for age, weight, or backfat thickness, with averages of 0.42 (N = 36), 0.37 (N = 8) and 0.35 (N = 12), respectively. Age-constant estimates of heritability were greater than weight- and backfat thickness-constant estimates; although fewer estimates were on a weight- and backfat thickness-constant basis. Mean estimate across end points was 0.40, which indicates that carcass weight would respond well to selection if selection were practiced. Large variation existed in estimates of heritability. Range of estimates was from 0.09, obtained by REML, for a backfat thickness adjustment (Johnston et al., 1992) to 0.92, obtained by Henderson’s Method 2, for an age adjustment (Blackwell et al., 1962), but most estimates were moderate. Wulf et al. (1996) for crossbred steers and heifers, Wheeler et al. (1996) for crossbred steers, Oikawa et al. (2000) for Japanese Black (Wagyu) steers, Morris et al. (1990) for crossbred steers, and Benyshek et al. (1988) for Hereford cattle reported low heritability estimates (0.10, 0.15, 0.15, 0.17, and 0.19, respectively). Koch et al. (1982) for crossbred steers, MacNeil et al. (1984) for purebred and crossbred steers, Elzo et al. (1998) for Angus steers, and Benyshek (1981) for Hereford steers and heifers reported moderate estimates (0.43, 0.44, 0.46, and 0.48, respectively). Large estimates (0.59, 0.60 and 0.68) were obtained by Moser et al. (1998) for Brangus steers and heifers, Pariacote et al. (1998) for American Shorthorn steers, and Koch (1978) for Hereford heifers, respectively.

Only three studies that compared estimates of heritability for carcass weight adjusted for age or for backfat thickness were found. The differences in estimates of heritability obtained with these two adjustments were variable across studies. For crossbred steers representing 11 cattle breeds that were slaughtered at 20 months of age, Morris et al. (1990) found that hot carcass weight adjusted to a constant age had a larger estimate of heritability than hot carcass weight adjusted to a constant backfat thickness (0.28 vs 0.17). In a recent study, Devitt and Wilton (2001), using crossbred steers, also obtained differences between age- and backfat thickness-constant estimates of heritability for carcass weight, but the estimate adjusted for backfat thickness was larger than the estimate adjusted for age (0.57 vs 0.47). The reduction in the estimate of genetic variance caused by age adjustment relative to that for backfat thickness (522 vs 1,051 kg2) could mainly explain this difference, because phenotypic variances were not much different with these two adjustments. In contrast, Shanks et al. (2001) found no significant difference between age- and backfat thickness-constant heritabilities (0.32 vs 0.33) for carcass weight of Simmental and percentage Simmental steers.

Dressing percentage

The number (32) of heritability estimates for dressing percentage found in the literature was about half of that found for carcass weight. Most estimates of heritability were adjusted for age (N = 18), which had a mean of 0.28. Fewer estimates adjusted for backfat thickness (N = 3) had a mean of 0.36. Eleven weight-constant heritability estimates had a mean of 0.38. Average estimate of heritability was 0.32 across end points, indicating that dressing percentage is lowly to moderately heritable, which suggests that response to selection would be possible. Estimates of heritability for dressing percentage ranged from very low (0.01), estimated as twice the son on sire regression coefficient on an age-constant basis (Reynolds et al., 1991), to very high (0.97), obtained with a paternal half-sib analysis on a weight-constant basis (Hinks and Bech Andersen, 1969). This range includes estimates of 0.06, 0.12, 0.37, 0.39, 0.50, and 0.69 reported by Wheeler et al. (1996), Lee et al. (2000), Robinson et al. (1998), Kim et al. (1998), Fouilloux et al. (1999), and Renand (1985), respectively, revealing significant variability among estimates, which may reflect the relatively limited number of records in most studies.

Few studies compared estimates of heritability for dressing percentage adjusted for different end points. Veseth et al. (1993), with paternal half-sib analyses, obtained similar estimates of heritability with age (0.25) or weight (0.26) as covariates in the model. Also, Koots et al. (1994), in their review of heritability estimates, found that weighted average of heritability estimates for dressing percentage were about the same on a weight- or age-constant basis (0.38 and 0.39, respectively). Similarly, in a recent study (Lee et al., 2000), estimates of heritability to age- and weight-constants were similar (0.12 and 0.16, respectively), but somewhat larger than estimates of heritability to backfat thickness-constant (0.09).

Adjusted backfat thickness

Adjusted backfat thickness also had many estimates of heritability (N = 63) in the literature. Most of the estimates were to an age-constant (N = 34), followed by many to a weight-constant (N = 23). Few estimates of heritability were to a backfat thickness-constant (N = 6). Averages of estimates of heritability were 0.39, 0.33 and 0.29, respectively. The average across end points was 0.36, which suggests that genetic progress to single trait selection would be possible if records were available. Across end points, estimates of heritability ranged from 0.03 (Morris et al., 1990; REML analysis) to 0.94 (Dunn et al., 1970; paternal half-sib analysis). These two extreme estimates were for carcasses of crossbred steers adjusted for age. Estimates of heritability were small (0.07, 0.14 and 0.15) by Hoque et al. (2002), Gilbert et al. (1993) and Oikawa et al. (2000), respectively, and large (0.63, 0.68 and 0.84) by Riley et al. (2002), Koch (1978) and Wheeler et al. (2001), respectively. Moderate estimates of heritability (0.43, 0.44, and 0.46) were reported by Brackelsberg et al. (1971), Yoon et al. (2002) and Pariacote et al. (1998).

Five studies (Shelby et al., 1963; Cundiff et al., 1969; Hirooka et al., 1996; Shanks et al., 2001; Devitt and Wilton, 2001) compared estimates of heritability for backfat thickness adjusted for age or weight. All agreed that estimates were similar regardless of the type of covariate included in the model.

Longissimus muscle area

Longissimus muscle area was the carcass trait with the most heritability estimates (N = 66) reported, reflecting its relative importance and easy measurement. Averages of heritability estimates were 0.41 (N = 36), 0.37 (N = 19) and 0.41 (N = 11) with age, weight or backfat thickness constants, respectively. Average estimates of heritability (0.40) over all end points indicate that longissimus muscle area is moderately heritable and genetic gain might be achieved through selection. However, estimates of heritability varied significantly among studies. Estimates ranged from almost the minimum (0.01; Reynolds et al., 1991, Hereford bulls, son-sire regression analysis) to almost the maximum for heritability (0.97; Pariacote et al., 1998, American Shorthorn steers, REML analysis).

Estimates of heritability for longissimus muscle area adjusted for age or weight reported by Benyshek (1981) for Hereford steers and heifers, by Morris et al. (1990) for crossbred steers, and by Hirooka et al. (1996) for Japanese Brown steers, indicate no significant effect of end point on estimates. In contrast, Shelby et al. (1963) reported that the heritability estimate for longissimus muscle area increased from 0.26 to 0.46 when an adjustment was made for slaughter weight instead of age. In a study using Hanwoo (Korean native) cattle, Lee et al. (2000) reported that the age- (0.17) and backfat thickness-constant (0.18) estimates of heritability were slightly smaller than the weight-constant estimate (0.24). Similar differences between weight- and backfat thickness-adjusted heritability estimates were obtained by other authors; although, the differences had opposite sign. In a more recent study (Shanks et al., 2001) that included Simmental and percentage Simmental cattle, the age- and backfat thickness-constant heritabilities were estimated to be slightly larger than the weight-constant heritability (0.26 and 0.29 vs 0.22, respectively). Larger estimates of heritability when adjusted to a weight-constant (0.45) or a backfat thickness-constant (0.52) basis were reported by Devitt and Wilton (2001), but the difference (0.07) between estimates was of the same magnitude. More recently, Kemp et al. (2002), after adding weight to a model that included age as a covariate, obtained a larger reduction in the heritability estimate for longissimus muscle area (0.45 vs 0.36).

Kidney, pelvic, and heart fat percentage

Comparatively few estimates of heritability (N = 14) were found in the literature for kidney, pelvic, and heart fat percentage relative to carcass traits previously discussed. Eight estimates were adjusted for age with an average of 0.48, two were adjusted for weight with an average of 0.19, and four were adjusted for backfat thickness with an average of 0.34. Average over the 14 studies was 0.40. Estimates of heritability ranged from 0.00 (Wilson et al., 1976) on a weight-constant basis to 0.83 (Koch et al., 1982) on an age-constant basis. Low, moderate and high estimates of heritability were found in the literature. Elzo et al. (1998) and Wheeler et al. (2001) reported heritability estimates of 0.03 and 0.28, Wheeler et al. (1996) and Riley et al. (2002) obtained moderate estimates (0.32 and 0.46) and Brackelsberg et al. (1971) and Nephawe et al. (2004) reported high estimates of 0.72 and 0.65, respectively.

Only one genetic study (Veseth et al., 1993) contrasted estimates of heritability for kidney, pelvic, and heart fat percentage adjusted for different covariates with quite similar estimates when age (0.37) or weight (0.38) were included as covariates in a model based on paternal half-sibs.

Marbling score

Marbling score is one of the most genetically evaluated carcass traits. Age-, weight- and backfat thickness-constant estimates had averages of 0.45 (N = 29), 0.29 (N = 15) and 0.30 (N = 12), respectively. Average of estimates across end points was 0.37. Only one out-of-range estimate (-0.15; Dunn et al., 1970, crossbred steers) was found, and it was not included in summary calculations. Similar to estimates of heritability for carcass traits discussed previously, estimates of heritability for marbling score were highly variable across studies, with a large range, from 0.01 (Lee et al., 2000, REML analysis) using weight as a covariate to 0.88 (Pariacote et al., 1998, REML analysis) using age. Most estimates, however, were moderate within a range of 0.30 to 0.57. For example, Devitt and Wilton (2001), Lamb et al. (1990), Splan et al. (2002), Fernandes et al. (2002), Benyshek et al. (1988), Barkhouse et al. (1996), Kemp et al. (2002), Van Vleck et al. (1992), Gregory et al. (1995), O’Connor et al. (1997), and Yoon et al. (2002) reported moderate estimates of heritability of 0.30, 0.33, 0.35, 0.37, 0.38, 0.40, 0.42, 0.43, 0.48, 0.52, and 0.57, respectively.

Few (three) studies in the literature have reported estimates of heritability for marbling score obtained by adjusting data for age-, weight- or backfat thickness. Using field records of the American Simmental Association, Shanks et al. (2001) reported similar estimates of heritability for marbling score adjusted for age (0.12), weight (0.12) or backfat thickness (0.13) for bulls, steers and heifers. Similarly, Hirooka et al. (1996) concluded that choice of covariate in the model (slaughter age vs slaughter weight) had little effect on heritability estimates for marbling score. In contrast, Devitt and Wilton (2001), using Canadian data from crossbred steers, reported that weight-constant heritability (0.43) was significantly larger than backfat thickness-constant heritability (0.30), and was slightly larger than age-constant heritability (0.35).

Yield grade

Only six estimates of heritability for yield grade were reported in the literature, four were adjusted for age and two for backfat thickness, with averages of 0.60 and 0.74, respectively. Average of estimates of heritability was 0.64 across the two end points, indicating that this carcass trait is highly heritable and genetic merit might be improved through selection. In studies conducted to a constant age, low (0.24, Hereford bulls) and moderate (0.54, American Shorthorn steers) estimates of heritability were obtained by Lamb et al. (1990) and Pariacote et al. (1998), respectively. On the contrary, on a backfat thickness-constant basis, Wulf et al. (1996) for crossbred steers and heifers, and Riley et al. (2002) for Brahman steers, and on an age-constant basis, Wheeler et al. (1996) and Wheeler et al. (2001) for crossbred steers obtained larger estimates of heritability of 0.76, 0.71, 0.76, and 0.85, respectively.

No reports that compared estimates of heritability for yield grade adjusted to constant age, weight or backfat thickness were found.

Predicted percentage of retail product

The column labeled as ER in Table 1 lists estimates of heritability for various cutability-type traits, which are cited as predicted percentage of retail product in this review.

Few (N = 17) estimates of heritability for predicted percentage of retail product have been published relative to estimates for actual carcass traits. More estimates found were on an age- (N = 8) than on a weight- (N = 6) or backfat thickness-constant basis (N = 3), with averages of 0.28, 0.41 and 0.48, respectively. Across end points, average of estimates of heritability was 0.36. Heritability estimates for predicted percentage of retail product were in a low-to-high range, from 0.07 (age-constant) obtained with REML analysis by Hassen et al. (1999) for crossbred steers and bulls, to 0.71 (backfat thickness-constant) estimated with REML analysis by Riley et al. (2002) for Brahman steers. Examples of moderate estimates of heritability included: at constant age, 0.53 by Mukai et al. (1995) for Japanese Black steers and heifers; at constant weight, 0.44 by Wilson et al. (1976) for crossbred steers and heifers, and at constant backfat thickness, 0.55 by Gilbert et al. (1993) for Canadian Angus and Hereford bulls.

Estimates of heritability for predicted percentage of retail product adjusted to different end points were found in only two reports. In an early genetic study (Cundiff et al., 1971), the heritability estimate for predicted percentage of retail product increased somewhat in the moderate range when data were adjusted to a constant weight relative to a constant age (0.28 vs 0.35). Similarly, Shanks et al. (2001) obtained larger estimates of heritability for predicted percentage of retail product adjusted for backfat thickness or for weight than when adjusted for age (0.17 and 0.12 vs 0.09).

Retail product weight

Of the 13 estimates of heritability for retail product weight most (N = 11) were adjusted for age, less with one each for backfat thickness and weight. Age-constant estimates of heritability ranged from low to moderate (0.28) for purebred and composite steers (Gregory et al., 1995) to high (0.66) for purebred, composite and F1 crossbred steers (Shackelford et al., 1995). Heritability estimates on an age-constant basis averaged 0.51. Estimates at constant weight or backfat thickness were estimated to be 0.42 and 0.50 by Cundiff et al. (1969) and Riley et al. (2002), respectively. The average age-constant estimates and weight- and backfat thickness-constant estimates of heritability imply that significant genetic variation exists to improve retail product weight by selection.

Estimates of heritability for retail product weight based on different covariates were published in only one report (Cundiff et al., 1969), which found that the estimate of heritability using age as covariate in the model was larger than the estimate using weight as the covariate (0.64 vs 0.42).

Fat weight

Only nine estimates of heritability for fat weight were found. Seven estimates were with adjustment to constant age, one to constant weight and one to constant backfat thickness. Estimates of heritability adjusted for age averaged 0.52 and ranged from low to moderate (0.30) for purebred and crossbred steers and heifers (Morris et al., 1999) to high (0.94) for Hereford heifers (Koch, 1978). Almost all estimates, however, were moderate, except those obtained by Koch (1978) and Shackelford et al. (1995). The estimates of heritability at constant weight or backfat thickness were from Cundiff et al. (1969) and Brackelsberg et al. (1971), who reported estimates of 0.37 and 0.50, respectively. Average estimates of heritability across end points was 0.50, suggesting that selection against fat weight or to an intermediate level, for example, would respond well to selection.

Only one report (Cundiff et al., 1969) compared estimates of heritability for fat weight obtained with different covariates in the model; the age-constant estimate of heritability was larger than the weight-constant estimate (0.46 vs 0.37).

Bone weight

Seven estimates of heritability for bone weight were found, six adjusted to constant age, and one to constant weight, with none for constant backfat thickness. For a constant age, the average of estimates of heritability was 0.51. All age-constant estimates of heritability for bone weight were moderate to large (0.38, Cundiff et al., 1969; 0.39, Gregory et al., 1995; 0.51, Morris et al., 1999; 0.56, Koch, 1978; 0.57, Koch et al., 1982; 0.62, Shackelford et al., 1995). Regardless of end point, estimates of heritability averaged 0.49. The heritability estimate of 0.39 for bone weight adjusted to a weight-constant basis was reported by Cundiff et al. (1969). This report was the only one found evaluating heritability estimates for bone weight adjusted for different covariates, but no significant effect of covariate was observed, as the estimates of heritability were 0.38 and 0.39 with common age and common weight, respectively.

Actual retail product percentage

The number of estimates of heritability for actual retail product percentage was 17, with 9 on an age-constant basis and 8 on a weight-constant basis. No estimates of heritability for retail product percentage on a backfat thickness-constant basis were found. Estimates of heritability on an age-constant basis averaged 0.54, and ranged from moderate (0.33; Morris et al., 1999, REML analysis) to high (0.67; Shackelford et al., 1995, REML analysis), but most estimates were moderate. On a weight-constant basis, average of estimates of heritability (0.50) was similar to that on an age-constant basis, but estimates ranged from low (0.18) for Danish Red males (Hinks and Bech Andersen, 1969, paternal half-sib analysis) to high (0.71) for bulls of Holstein Friesian and Brown Swiss sires (Jensen et al., 1991, REML analysis).

Comparisons of estimates of heritability for actual retail product percentage obtained using different covariates in the model in the same study were not found.

Fat percentage

Seven estimates of heritability for fat percentage found in the literature were age-constant estimates. Estimates of heritability averaged 0.51, and ranged from moderate (0.35) for purebred and composite steers (Gregory et al., 1995) to high (0.65) for purebred, composite and F1 crossbred steers (Shackelford et al., 1995). This range also includes estimates of heritability of 0.39, 0.49, 0.53, 0.57, and 0.59 reported by Morris et al. (1999), Splan et al. (2002), Nephawe et al. (2004), Koch et al. (1982) and Wheeler et al. (1997), respectively. Two estimates on a weight-constant basis were very different: 0.12 by Hinks and Bech Andersen (1969) for Danish Red males and 0.89 by Jensen et al. (1991) for Holstein Friesian and Brown Swiss bulls, respectively.

No information about estimates of heritability for fat percentage evaluated at different end points in the same study was found.

Bone percentage

All estimates of heritability (N = 8) for bone percentage were adjusted for age, except the weight-constant estimate of 0.35 reported by Hinks and Bech Andersen (1969) for Danish Red males. In general, the estimates of heritability indicate that bone percentage is moderately heritable, averaging 0.44. The range was from 0.21 (Gregory et al., 1995) to 0.69 (Shackelford et al., 1995). Most estimates of heritability included in this range were moderate and were reported to be 0.31, 0.44, 0.48, 0.52, and 0.53 by Morris et al. (1999), Wheeler et al. (1997), Splan et al. (2002), Nephawe et al. (2004) and Koch et al. (1982), respectively.

No reports of estimates of heritability for bone percentage adjusted for different covariates in the same study were found.

CONCLUSIONS

The review of estimates of heritability published in the scientific literature during the last 42 years revealed that most estimates of heritability were on an age-constant or time-on-feed-constant basis. Carcass weight, backfat thickness, longissimus muscle area, and marbling score were the carcass traits with the most estimates of heritability. The average estimates indicate that they are similarly and moderately heritable. In contrast, the number of estimates of heritability for dressing percentage was about half or less than half of those for the carcass traits listed above. The average estimate also indicates that dressing percentage is moderately heritable. Carcass traits with the fewest estimates of heritability were for traits that require the most effort to measure: kidney, pelvic, and heart fat percentage, yield grade, predicted percentage of retail product, retail product weight, fat weight, bone weight, actual retail product percentage, fat percentage, and bone percentage. However, the estimates indicate they are more heritable, except for kidney, pelvic, and heart fat percentage and predicted percentage of retail product, than the more frequently studied carcass traits. Yield grade had the smallest number of heritability estimates, but the largest estimates of heritability. Heritability estimates for most carcass traits varied greatly, which could be due to differences in breed groups, methods of estimation, effects in the model, number of observations, measurement errors, sex, and management. Few studies have compared heritability estimates for carcass traits adjusted to different end points. Results from such studies were inconsistent, although some studies revealed that heritability estimates for several carcass traits were sensitive to the covariate (end point) included in the model implying that direct response to selection would be different for some traits depending on slaughter end point. The effect of different end points on estimates of heritability has not been studied for several carcass traits.

REFERENCES

Arnold, J.W., Bertrand, J.K., Benyshek, L.L. and Ludwig, C. (1991). Estimates of genetic parameters for live animal ultrasound, actual carcass data, and growth traits in beef cattle. J. Anim. Sci. 69: 985-992.

Barkhouse, K.L., Van Vleck, L.D., Cundiff, L.V., Koohmaraie, M., Lunstra, D.D. and Crouse, J.D. (1996). Prediction of breeding values for tenderness of market animals from measurements on bulls. J. Anim. Sci. 74: 2612-2621.

Benyshek, L.L. (1981). Heritabilities for growth and carcass traits estimated from data on Hereford under commercial conditions. J. Anim. Sci. 53: 49-56.

Benyshek, L.L., Comerford, J.W., Little, D.E. and Ludwig, C. (1988). Estimates of carcass trait genetic parameters from Hereford field data. J. Anim. Sci. 66 (Suppl. 1): 10 (Abstract).

Blackwell, R.L., Knox, J.H., Shelby, C.E. and Clark, R.T. (1962). Genetic analysis of economic characteristics of young Hereford cattle. J. Anim. Sci. 21: 101-107.

Brackelsberg, P.O., Kline, E.A., Willham, R.L. and Hazel, L.N. (1971). Genetic parameters for selected beef-carcass traits. J. Anim. Sci. 33: 13-17.

Crews Jr., D.H., and Kemp, R.A. (2001). Genetic parameters for ultrasound and carcass measures of yield and quality among replacement and slaughter beef cattle. J. Anim. Sci. 79: 3008-3020.

Crews Jr., D.H., Pollak, E.J., Weaber, R.L., Quaas, R.L. and Lipsey, R.J. (2003). Genetic parameters for carcass traits and their live animal indicators in Simmental cattle. J. Anim. Sci. 81: 1427-1433.

Cundiff, L.V., Chambers, D., Stephens, D.F. and Willham, R.L. (1964). Genetic analysis of some growth and carcass traits in beef cattle. J. Anim. Sci. 23: 1133-1138.

Cundiff, L.V., Gregory, K.E., Koch, R.M. and Dickerson, G.E. (1969). Genetic variation in total and differential growth of carcass components in beef cattle. J. Anim. Sci. 29: 233-244.

Cundiff, L.V., Gregory, K.E., Koch, R.M. and Dickerson, G.E. (1971). Genetic relationships among growth and carcass traits of beef cattle. J. Anim. Sci. 33: 550-555.

Cunningham, E.P. and Broderick, T. (1969). Genetic and environmental parameters of growth and carcass traits in dual-purpose cattle. Ir. J. Agric. Res. 8: 397-416.

Devitt, C.J.B. and Wilton, J.W. (2001). Genetic correlation estimates between ultrasound measurements on yearling bulls and carcass measurements on finished steers. J. Anim. Sci. 79: 2790-2797.

Dinkel, C.A. and Busch, D.A. (1973). Genetic parameters among production, carcass composition and carcass quality traits of beef cattle. J. Anim. Sci. 36: 832-846.

DuBose, L.E. and Cartwright, T.C. (1967). Relationships among production and carcass traits in cattle. J. Anim. Sci. 26: 203 (Abstract).

Dunn, R.J., Magee, W.T., Gregory, K.E., Cundiff, L.V. and Koch, R.M. (1970). Genetic parameters in straightbred and crossbred beef cattle. J. Anim. Sci. 31: 656-663.

Elzo, M.A., West, R.L., Johnson, D.D. and Wakeman, D.L. (1998). Genetic variation and prediction of additive and nonadditive genetic effects for six carcass traits in an Angus-Brahman multibreed herd. J. Anim. Sci. 76: 1810-1823.

Fernandes, T.L., Wilton, J.W., Mandel, I.B. and Devitt, C.J.B. (2002). Genetic parameter estimates for meat quality traits in beef cattle managed under a constant finishing program. In: Proceedings of the 7th World Congress on Genetics Applied to Livestock Production, August 19-23, 2002, Montpellier, France. Session 02. Breeding ruminants for meat production. Communication No. 02-93.

Fouilloux, M.N., Renand, G., Gaillard, J. and Ménissier, F. (1999). Genetic parameters of beef traits of Limousin and Charolais progeny-tested AI sires. Genet. Sel. Evol. 31: 465-489.

Fouilloux, M.N., Renand, G. and Laloë, D. (2002). Genetic evaluation using commercial carcass data in French beef cattle. In: Proceedings of the 7th World Congress on Genetics Applied to Livestock Production, August 19-23, 2002, Montpellier, France. Session 02. Breeding ruminants for meat production. Communication No. 02-20.

Gilbert, R.P., Bailey, D.R.C. and Shannon, N.H. (1993). Body dimensions and carcass measurements of cattle selected for postweaning gain fed two different diets. J. Anim. Sci. 71: 1688-1698.

Gregory, K.E., Cundiff, L.V., Koch, R.M., Dikeman, M.E. and Koohmaraie, M. (1994). Breed effects, retained heterosis, and estimates of genetic and phenotypic parameters for carcass and meat traits of beef cattle. J. Anim. Sci. 72: 1174-1183.

Gregory, K.E., Cundiff, L.V. and Koch, R.M. (1995). Genetic and phenotypic (co)variances for growth and carcass traits of purebred and composite populations of beef cattle. J. Anim. Sci. 73: 1920-1926.

Hanset, R., Michaux, R. and Stasse, A. (1987). Relationships between growth rate, carcass composition, feed intake, feed conversion ratio and income in four biological types of cattle. Genet. Sel. Evol. 19: 225-248.

Hassen, A., Wilson, D.E. and Rouse, G.H. (1999). Evaluation of carcass, live, and real-time ultrasound measures in feedlot cattle: I. Assessment of sex and breed effects. J. Anim. Sci. 77: 273-282.

Hinks, C.J.M. and Bech Andersen, B. (1969). Genetic aspects of growth and carcass quality in veal calves. Anim. Prod. 11: 43-45.

Hirooka, H., Groen, A.F. and Matsumoto, M. (1996). Genetic parameters for growth and carcass traits in Japanese Brown cattle estimated from field records. J. Anim. Sci. 74: 2112-2116.

Hoque, M.A., Baik, D.H. and Na, C.S. (2002). Parameter estimates for genetic and environmental effects on meat potential of Korean native (Hanwoo) cattle. In: Proceedings of the 7th World Congress on Genetics Applied to Livestock Production, August 19-23, 2002, Montpellier, France. Session 02. Breeding ruminants for meat production. Communication No. 02-92.

Jensen, J., Mao, I.L., Bech Andersen, B. and Madsen, P. (1991). Genetic parameters of growth, feed intake, feed conversion and carcass composition of dual-purpose bulls in performance testing. J. Anim. Sci. 69: 931-939.

Johnston, D.J., Benyshek, L.L., Bertrand, J.K., Johnson, M.H. and Weiss, G.M. (1992). Estimates of genetic parameters for growth and carcass traits in Charolais cattle. Can. J. Anim. Sci. 72: 493-499.

Kemp, D.J., Herring, W.O. and Kaiser, C.J. (2002). Genetic and environmental parameters for steer ultrasound and carcass traits. J. Anim. Sci. 80: 1489-1496.

Kim, J.J., Davis, S.K., Sanders, J.O., Turner, J.W., Miller, R.K., Savell, J.W., Smith, S.B. and Taylor, J.F. (1998). Estimation of genetic parameters for carcass and palatability traits in Bos indicus/Bos taurus cattle. In: Proceedings of the 6th World Congress on Genetics Applied to Livestock Production, January 11-16, 1998, Armidale, NSW, Australia, 173-176.

Koch, R.M. (1978). Selection in beef cattle. III. Correlated response of carcass traits to selection for weaning weight, yearling weight and muscling score in cattle. J. Anim. Sci. 47: 142-150.

Koch, R.M., Cundiff, L.V. and Gregory, K.E. (1982). Heritabilities and genetic, environmental and phenotypic correlations of carcass traits in a population of diverse biological types and their implications in selection programs. J. Anim. Sci. 55: 1319-1329.

Koots, K.R., Gibson, J.P., Smith, C. and Wilton, J.W. (1994). Analyses of published genetic parameter estimates for beef production traits. 1. Heritability. Anim. Breed. Abstr. 62: 309-338.

Kuchida, K., Yamagishi, T., Yamaki, K. and Mizuma, Y. (1990). The estimation of genetic parameters for growth and carcass traits of Japanese Shorthorn. Jpn. J. Zootech. Sci. 61: 401-405.

Lamb, M.A., Robison, O.W. and Tess, M.W. (1990). Genetic parameters for carcass traits in Hereford bulls. J. Anim. Sci. 68: 64-69.

Lee, J.W., Choi, S.B., Kim, J.S., Keown, J.F. and Van Vleck, L.D. (2000). Parameter estimates for genetic effects on carcass traits of Korean native cattle. J. Anim. Sci. 78: 1181-1190.

MacNeil, M.D., Cundiff, L.V., Dinkel, C.A. and Koch, R.M. (1984). Genetic correlations among sex-limited traits in beef cattle. J. Anim. Sci. 58: 1171-1180.

MacNeil, M.D., Bailey, D.R.C., Urick, J.J., Gilbert, R.P. and Reynolds, W.L. (1991). Heritabilities and genetic correlations for postweaning growth and feed intake of beef bulls and steers. J. Anim. Sci. 69: 3183-3189.

Marshall, D.M. (1994). Breed differences and genetic parameters for body composition traits in beef cattle. J. Anim. Sci. 72: 2745-2755.

More O’Ferrall, G.J., Joseph, R.L., Tarrant, P.V. and McGloughlin, P. (1989). Phenotypic and genetic parameters of carcass and meat-quality traits in cattle. Livest. Prod. Sci. 21: 35-47.

Morris, C.A., Baker, R.L., Carter the late, A.H. and Hickey, S.M. (1990). Evaluation of eleven cattle breeds for crossbred beef production: Carcass data from males slaughtered at two ages. Anim. Prod. 50: 79-92.

Morris, C.A., Cullen, N.G. and McCall, D.G. (1999). Genetic and phenotypic relationships among carcass measurements in beef cattle. N.Z. J. Agric. Res. 42: 415-421.

Moser, D.W., Bertrand, J.K., Miztal, I., Kriese, L.A. and Benyshek, L.L. (1998). Genetic parameter estimates for carcass and yearling ultrasound measurements in Brangus cattle. J. Anim. Sci. 76: 2542-2548.

Mukai, F., Oyama, K. and Kohno, S. (1995). Genetic relationships between performance test traits and field carcass traits in Japanese Black cattle. Livest. Prod. Sci. 44: 199-205.

Nephawe, K.A., Cundiff, L.V., Dikeman, M.E., Crouse, J.D. and Van Vleck, L.D. (2004). Genetic relationships between sex-specific traits in beef cattle: Mature weight, weight adjusted for body condition score, height and body condition score of cows, and carcass traits of their steer relatives. J. Anim. Sci. 82: 647-653.

Newman, S., Reverter, A. and Johnston, D.J. (2002). Purebred-crossbred performance and genetic evaluation of postweaning growth and carcass traits in Bos indicus x Bos taurus crosses in Australia. J. Anim. Sci. 80: 1801-1808.

O’Connor, S.F., Tatum, J.D., Wulf, D.M., Green, R.D. and Smith, G.C. (1997). Genetic effects on beef tenderness in Bos indicus composite and Bos taurus cattle. J. Anim. Sci. 75: 1822-1830.

Oikawa, T., Sanehira, T., Sato, K., Mizoguchi, Y., Yamamoto, H. and Baba, M. (2000). Genetic parameters for growth and carcass traits of Japanese Black (Wagyu) cattle. Anim. Sci. 71: 59-64.

Pariacote, F., Van Vleck, L.D. and Hunsley, R.E. (1998). Genetic and phenotypic parameters for carcass traits of American Shorthorn beef cattle. J. Anim. Sci. 76: 2584-2588.

Pitchford, W.S., Deland, M.P.B., Siebert, B.D., Malau-Aduli, A.E.O. and Bottema, C.D.K. (2002). Genetic variation in fatness and fatty acid composition of crossbred cattle. J. Anim. Sci. 80: 2825-2832.

Renand, G. (1985). Genetic parameters of French beef breeds used in crossbreeding for young bull production. II. Slaughter performance. Genet. Sel. Evol. 17: 265-282.

Reverter, A., Johnston, D.J., Graser, H.U., Wolcott, M.L. and Upton, W.H. (2000). Genetic analyses of live-animal ultrasound and abattoir carcass traits in Australian Angus and Hereford cattle. J. Anim. Sci. 78: 1786-1795.

Reverter, A., Johnston, D.J., Perry, D., Goddard, M.E. and Burrow, H.M. (2003). Genetic and phenotypic characterization of animal, carcass, and meat quality traits from temperate and tropically adapted beef breeds. 2. Abattoir carcass traits. Aust. J. Agric. Res. 54: 119-134.

Reynolds, W.L., Urick, J.J., Veseth, D.A., Kress, D.D., Nelsen, T.C. and Short, R.E. (1991). Genetic parameters by son-sire covariances for growth and carcass traits of Hereford bulls in a nonselected herd. J. Anim. Sci. 69: 1000-1007.

Riley, D.G., Chase Jr., C.C., Hammond, A.C., West, R.L., Johnson, D.D., Olson, T.A. and Coleman, S.W. (2002). Estimated genetic parameters for carcass traits of Brahman cattle. J. Anim. Sci. 80: 955-962.

Robinson, D.L., Ferguson, D.M. and Skerritt, J.W. (1998). Genetic parameters for beef tenderness, marbling and yield. In: Proceedings of the 6th World Congress on Genetics Applied to Livestock Production, January 11-16, 1998, Armidale, NSW, Australia, 169-172.

Shackelford, S.D., Koohmaraie, M., Cundiff, L.V., Gregory, K.E., Rohrer, G.A. and Savell, J.W. (1994). Heritabilities and phenotypic and genetic correlations for bovine postrigor calpastatin activity, intramuscular fat content, Warner-Bratzler shear force, retail product yield, and growth rate. J. Anim. Sci. 72: 857-863.

Shackelford, S.D., Cundiff, L.V., Gregory, K.E. and Koohmaraie, M. (1995). Predicting beef carcass cutability. J. Anim. Sci. 73: 406-413.

Shanks, B.C., Tess, M.W., Kress, D.D. and Cunningham, B.E. (2001). Genetic evaluation of carcass traits in Simmental-sired cattle at different slaughter end points. J. Anim. Sci. 79: 595-604.

Shelby, C.E., Harvey, W.R., Clark, R.T., Quesenberry, J.R. and Woodward, R.R. (1963). Estimates of phenotypic and genetic parameters in ten years of Miles City R.O.P steer data. J. Anim. Sci. 22: 346-353.

Splan, R.K., Cundiff, L.V., Dikeman, M.E. and Van Vleck, L.D. (2002). Estimates of parameters between direct and maternal genetic effects for weaning weight and direct genetic effects for carcass traits in crossbred cattle. J. Anim. Sci. 80: 3107-3111.

Van Vleck, L.D., Hakim, A.F., Cundiff, L.V., Koch, R.M., Crouse, J.D. and Boldman, K.G. (1992). Estimated breeding values for meat characteristics of crossbred cattle with an animal model. J. Anim. Sci. 70: 363-371.

Veseth, D.A., Reynolds, W.L., Urick, J.J., Nelsen, T.C., Short, R.E. and Kress, D.D. (1993). Paternal half-sib heritabilities and genetic, environmental, and phenotypic correlation estimates from randomly selected Hereford cattle. J. Anim. Sci. 71: 1730-1736.

Wheeler, T.L., Cundiff, L.V., Koch, R.M. and Crouse, J.D. (1996). Characterization of biological types of cattle (Cycle IV): Carcass traits and longissimus palatability. J. Anim. Sci. 74: 1023-1035.

Wheeler, T.L., Cundiff, L.V., Koch, R.M., Dikeman, M.E. and Crouse, J.D. (1997). Characterization of different biological types of steers (Cycle IV): Wholesale, subprimal, and retail product yields. J. Anim. Sci. 75: 2389-2403.

Wheeler, T.L., Cundiff, L.V., Shackelford, S.D. and Koohmaraie, M. (2001). Characterization of biological types of cattle (Cycle V): Carcass traits and longissimus palatability. J. Anim. Sci. 79: 1209-1222.

Wilson, D.E., Willham, R.L., Northcutt, S.L. and Rouse, G.H. (1993). Genetic parameters for carcass traits estimated from Angus field records. J. Anim. Sci. 71: 2365-2370.

Wilson, L.L., Stout, J.M., Ziegler, J.H., Simpson, M.J., Varela-Alvarez, H., Rugh, M.C. and Watkins, J.L. (1971). Heritability of live and carcass characters in a crossbred beef herd. J. Hered. 62: 123-125.

Wilson, L.L., McCurley, J.R., Ziegler, J.H. and Watkins, J.L. (1976). Genetic parameters of live and carcass characters from progeny of Polled Hereford sires and Angus-Holstein cows. J. Anim. Sci. 43: 569-576.

Woodward, B.W., Pollak, E.J. and Quaas, R.L. (1992). Parameter estimation for carcass traits including growth information of Simmental beef cattle using restricted maximum likelihood with a multiple-trait model. J. Anim. Sci. 70: 1098-1109.

Wulf, D.M., Tatum, J.D., Green, R.D., Morgan, J.B., Golden, B.L. and Smith, G.C. (1996). Genetic influences on beef longissimus palatability in Charolais- and Limousin-sired steers and heifers. J. Anim. Sci. 74: 2394-2405.

Yoon, H.B., Seo, K.S., Kim, S.D., Cho, Y.M., Na, S.H., Park, C.J. and Jeon, G.J. (2002). Estimation of genetic parameters for direct genetic effect for carcass traits of Hanwoo (Korean Brown cattle) steers. In: Proceedings of the 7th World Congress on Genetics Applied to Livestock Production, August 19-23, 2002, Montpellier, France. Session 02. Breeding ruminants for meat production. Communication No. 02-89.

   Copyright © 2004 by FUNPEC