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J. Anim. Sci. 2006. 84:558-566
© 2006 American Society of Animal Science


ANIMAL GENETICS

Genetic correlations between live yearling bull and steer carcass traits adjusted to different slaughter end points. 2. Carcass fat partitioning1,2

R. Bergen, S. P. Miller3, J. W. Wilton and I. B. Mandell

Department of Animal and Poultry Science, University of Guelph, Guelph, ON, Canada N1G 2W1


    Abstract
 Top
 Abstract
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 IMPLICATIONS
 LITERATURE CITED
 
Partial carcass dissection data from 1,031 finished crossbred beef steers were used to calculate heritabilities and genetic correlations among subcutaneous, intermuscular, and body cavity fat percentage and marbling score adjusted to slaughter age-, HCW-, fat depth-, and marbling score-constant endpoints. Genetic correlations were also calculated among these fat partitions with live growth and ultrasound traits evaluated in yearling beef bulls (n = 2,172) and steer carcass measurements. Heritabilities of the different fat partitions ranged from 0.22 (marbling score-constant body cavity fat) to 0.46 (HCW-constant marbling score). Genetic correlations between subcutaneous fat and intermuscular fat (rg = 0.16 to 0.32) and between intermuscular fat and body cavity fat (rg = 0.38 to 0.50) were more highly associated than subcutaneous fat and body cavity fat (rg = –0.08 to 0.05), indicating that fat depots are not under identical genetic control. Adjusting fat depots to different end points affected the magnitude but usually not the sign of the genetic correlations. Bull postweaning gain was associated with intermuscular (–0.24 to –0.35), body cavity (–0.24 to –0.29), and marbling fat (–0.24 to –0.39) in steers. Bull hip height was associated with body cavity (–0.20 to –0.29) and marbling fat (–0.20 to –0.47) in steers. Bull ultrasound fat depth was associated with subcutaneous (0.11 to 0.29), intermuscular (0.05 to 0.36), body cavity (0.27 to 0.49), and marbling fat (0.27 to 0.73) in steers. Bull ultrasound intramuscular fat percentage was associated with subcutaneous (–0.22 to –0.44) and intermuscular fat (–0.06 to 0.31) in steers. Bull ultrasound LM area was associated with body cavity (–0.25 to –0.31) and marbling fat (–0.25 to –0.30) in steers. Ultrasound LM width measurements were negatively correlated with subcutaneous fat (rg = –0.09 to –0.18), intermuscular fat (rg = –0.53 to –0.61), body cavity fat (rg = –0.63 to –0.69), and marbling score (rg = –0.75 to –0.87) at slaughter age-, HCW-, and fat depth-constant endpoints; correlations were generally lower at a marbling score-constant end point (rg = 0.07 to –0.49). Ultrasound indicator traits measured in seedstock may be useful in altering fat partitioning in commercial beef carcasses.

Key Words: cattle • fat partitioning • genetic parameters • selection • ultrasound


    INTRODUCTION
 Top
 Abstract
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 IMPLICATIONS
 LITERATURE CITED
 
Ultrasound fat depth and LM size traits measured in seedstock cattle are heritable and genetically correlated to steer carcass lean percentage (Reverter et al., 2000Go; Crews and Kemp, 2001Go; Bergen et al., 2006Go). Although current ultrasound measurements use only subcutaneous fat depth as an indicator of overall carcass lean content, fat stored in intermuscular, body cavity, and intramuscular depots also influence carcass lean content.

Little is known about the genetic control of carcass fat partitioning despite its potential importance in beef cattle breeding programs. If genetic relationships among the different fat depots are not strongly positive, selection for increased carcass lean content based exclusively on decreased subcutaneous fat depth may not yield the desired reduction in the intermuscular or body cavity fat depots. Reducing intermuscular fat is important because it cannot be removed without damaging some retail cuts (Kempster, 1980Go).

The objective of this research was to evaluate the genetic relationships among the subcutaneous, intermuscular, body cavity, and intramuscular depots of finished feedlot steer carcasses adjusted to slaughter age-, HCW-, fat depth-, and marbling score-constant endpoints. A second objective was to quantify genetic relationships among live age-constant growth and ultrasound traits measured in yearling beef bulls and carcass measurements collected in steers with fat partitioning in steers adjusted to different slaughter end points.


    MATERIALS AND METHODS
 Top
 Abstract
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 IMPLICATIONS
 LITERATURE CITED
 
Details regarding the data, experimental procedures, and analytical models used in this study have been presented in a previous report (Bergen et al., 2006Go). In brief, growth and ultrasound data from yearling beef bulls (n = 2,172) and carcass data from finished cross-bred feedlot steers (n = 1,031) were used. Exact breed composition was known for all animals. A 21-cm rib section (corresponding approximately to the 10th–11th–12th ribs) from each steer was dissected into lean, bone, subcutaneous, intermuscular, and body cavity fat depots following procedures originally developed by Hankins and Howe (1946)Go. Previous results indicated that fat partitioning in this cut is related to fat partitioning of the wholesale rib and whole carcass side (Bergen, 2005Go). Dissected lean and fat weights were expressed as a percentage of total 10th–11th–12th rib weight. Marbling score was used as a substitute for chemical intramuscular fat percentage; previous research has shown that these traits have a high genetic correlation (rg = 0.94; Fernandes et al., 2002Go).

Pairwise analyses among all bull and steer traits with carcass fat partitioning traits were performed in ASREML (Gilmour et al., 2000Go) to estimate (co)variance components and effects of covariates, contemporary group, feedlot regimen, breed, and expected heterozygosity using a pedigree file containing 10,068 animals. After accounting for the fixed breed effect in the animal model, homogeneous genetic, herd of origin, and residual (co)variance was assumed across all breeds, and all unknown sires and dams were assumed to originate from the same noninbred base population regardless of breed.

For summary purposes, heterosis and breed effects as well as phenotypic, additive genetic, and preweaning bull contemporary group variances were calculated as the average solution from the pairwise analyses performed for each trait. Breed effects were expressed relative to the Charolais breed, which was constrained to zero. Scan age was used as a covariate for yearling bull traits in all animal models. In contrast, steer carcass traits were adjusted to slaughter age-, HCW-, carcass fat depth-, or carcass marbling score-constant endpoints by regressing the appropriate slaughter end point covariate within feedlot regimen (i.e., high grain from weaning to slaughter vs. backgrounding before high grain finishing). Breed effects were estimated by regressing the dependent variable on the percentage of total breed composition contributed by each breed. Experimental procedures were approved by the University of Guelph’s Animal Care Committee and followed guidelines established by the Canadian Council on Animal Care (1993)Go.


    RESULTS AND DISCUSSION
 Top
 Abstract
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 IMPLICATIONS
 LITERATURE CITED
 
Feedlot Regimen, Heterosis, and Breed Solutions for Fat Partitioning Adjusted to Alternative Slaughter End points

All postweaning bull and steer contemporary groups were well connected by genetic ties (Bergen et al., 2006Go). Summary statistics indicate that backgrounded steers had numerically heavier carcasses with less total dissectible fat content than steers fed high grain from weaning until slaughter; other differences in 10th–11th–12th rib composition were negligible (Table 1Go). Data from Kempster et al. (1976)Go indicate that steers finished on grain diets were younger, lighter, and had more subcutaneous fat than forage-fed steers finished on cereal grains. Vaage et al. (1998)Go compared high-grain finishing from weaning to slaughter with prolonged backgrounding (174 d) before high-grain finishing and found that backgrounding led to increased carcass and wholesale rib weights without any significant change in fat percentage among the subcutaneous, intermuscular, or body cavity fat depots in the wholesale rib. Block et al. (2001)Go compared 70- and 126-d backgrounding periods before high grain finishing and found that although total and subcutaneous fat percentages in the wholesale rib did not differ among groups, steers backgrounded for 70 d had less body cavity and more intermuscular fat than steers backgrounded for 126 d.


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Table 1. Summary statistics for carcass and 10th–11th–12th rib weights and composition of finished crossbred feedlot steers
 
When 10th–11th–12th rib composition data from the current study were adjusted to a common slaughter age, high-grain steers deposited subcutaneous fat and marbling more rapidly (P < 0.05) than did backgrounded steers, but rates of intermuscular and body cavity fat deposition were similar among the 2 feedlot regimes (Table 2Go). At a constant HCW, subcutaneous and body cavity fat deposition rates were similar among the feedlot regimens, but backgrounded cattle deposited intermuscular fat more rapidly (P < 0.05) and marbling less rapidly (P < 0.05) than high-grain steers (Table 2Go). When adjusted to a constant carcass fat depth, rates of subcutaneous, intermuscular, body cavity, and marbling fat deposition did not differ (P > 0.10) among backgrounded and high-grain steers. Finally, when adjusted to a constant marbling score, high grain steers displayed greater rates of fat deposition than backgrounded steers in all 3 depots (Table 2Go).


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Table 2. End point covariate, heterosis, and breed solutions for 10th–11th–12th rib subcutaneous, intermuscular, and body cavity fat content and carcass marbling score of finished feedlot steers adjusted to alternate end points
 
The objective of backgrounding is to delay physiological maturity so that cattle are heavier and older when finished (Vaage et al., 1998Go). As discussed in Bergen et al. (2006)Go, backgrounded steers were older and heavier than steers fed a high-grain diet from weaning to slaughter. The differences in subcutaneous and intermuscular fat deposition rates shown in Table 2Go indicate that the backgrounded steers might have been less physiologically mature at slaughter.

Heterosis estimates (expressed as a percentage of the phenotypic mean) did not differ from zero (P > 0.10) for any fat depots at any slaughter end point (Table 2Go). Heterosis estimates for the subcutaneous, intermuscular, and body cavity depots were negative (except for slaughter age-constant body cavity fat content), indicating that crossbred animals tend to have proportionally less waste fat than their purebred parents. In contrast, crossbred steers should have more marbling than their purebred parents (Table 2Go). Johnston et al. (1992)Go reported a heterosis estimate of 5.8% for kidney knob and channel fat in crosses among Hereford and Devon cattle, and Marshall (1994)Go reported that published age-constant heterosis estimates averaged 4.9% for kidney fat and 3.8% for marbling score.

Breed solutions indicated that Hereford had the highest subcutaneous fat content at most end points, Charolais and Blonde d’Aquitaine had the least, and Angus, Gelbvieh, Simmental, and Limousin were intermediate (Table 2Go). Intermuscular fat content was generally highest for Hereford and Angus; intermediate for Charolais, Simmental, and Blonde d’Aquitaine; and lowest for Limousin and Gelbvieh. Gelbvieh had the most body cavity fat; Angus, Hereford, Charolais, and Blonde d’Aquitaine were intermediate; and Simmental and Limousin had the least body cavity fat (Table 2Go). Marbling was highest for Angus; intermediate for Hereford, Simmental, Blonde d’ Aquitaine, Gelbvieh, and Charolais; and lowest for Limousin (Table 2Go). Breed rankings for each depot were similar regardless of end point.

Most studies have examined changes in the various fat depots relative to total carcass fat. These studies indicate that as fattening proceeds, the rate of subcutaneous fat deposition increases, and the rate of intermuscular fat deposition declines (Johnson et al., 1972Go; Berg and Butterfield, 1976Go; Kempster et al., 1976Go; Robelin, 1986Go; Perry and Arthur, 2000Go). This is reflected in broad differences among early and late-maturing beef breeds (Berg and Butterfield, 1976Go). If slaughtered at the same chronological age or at the same weight, early maturing cattle are expected to have a greater proportion of subcutaneous fat and a lower proportion of intermuscular fat than late-maturing breeds. If slaughtered at the same degree of physiological maturity, cattle of different beef breeds will have similar proportions of fat in each depot. Development patters of internal (body cavity and kidney and channel) fat are less clear (Kempster, 1980Go). Some references indicate that this depot matures early (Johnson et al., 1972Go), some indicate late (Berg and Butterfield, 1976Go; Robelin, 1986Go; Perry and Arthur, 2000Go), and some suggest that it grows at the same rate as overall fatness (Kempster et al., 1976Go; Jones et al., 1980Go). Dairy breeds tend to deposit fat internally, and beef breeds preferentially deposit external fat (Berg and Butterfield, 1976Go; Kempster et al., 1976Go). Intramuscular (marbling) fat content is often greater in early maturing than in late-maturing breeds (Gregory et al., 1994Go; Wheeler et al., 1996Go; Wheeler et al., 2004Go).

The objective of the current study was to evaluate genetic correlations among the different carcass fat depots. Evaluating the fat depots as a proportion of total 10th–11th–12th rib fat would have necessarily caused negative genetic correlations among some pairs of fat depots. Consequently, fat depots were expressed as a proportion of total 10th–11th–12th rib weight. Two recent studies have reported fat partitioning in the wholesale rib of steers slaughtered at fat-constant end points. Vaage et al. (1998)Go divided crossbred steers into 2 weight groups corresponding to differences in the degree of Continental breeding. After recalculating fat partitioning data as a proportion of wholesale rib weight, "light" steers had more subcutaneous fat (7.9 vs. 7.2%), less intermuscular fat (14.3 vs. 15.3%), and greater marbling scores (2.0 vs. 1.6) than "heavy" steers, but body cavity fat content was similar between the 2 groups (3.6%; Vaage et al., 1998Go). Average breed solutions obtained from the current study indicated that British steers also had numerically more subcutaneous, intermuscular, and marbling fat than Continental steers (Table 2Go). Block et al. (2001)Go reported that Hereford-cross steers had numerically more subcutaneous fat (9.8 vs. 8.6%), less intermuscular fat (15.7 vs. 16.7%), and lower marbling scores (1.4 vs. 2.0) than Charolais-cross steers but similar levels of body cavity fat (3.9 vs. 3.8%). Similar results were obtained for subcutaneous and marbling fat in the current study (Table 2Go). Compared with Charolais-cross steers, Angus- and Hereford-cross steers had numerically more subcutaneous fat (10.4, 10.9, and 10.0% for Angus-, Hereford-, and Charolais-cross steers, respectively) and less intermuscular fat (18.2, 18.1, and 18.6%, respectively), with similar levels of body cavity fat (4.0%). Angus- and Charolais-cross steers had greater marbling scores than Hereford-cross steers (2.0, 2.1 and 1.6, respectively; Block et al., 2001Go). Similar results were obtained for subcutaneous fat in the current study (Table 2Go). However, numerical discrepancies were observed between the results of the current study (Table 2Go) and those of Vaage et al. (1998)Go and Block et al. (2001)Go for body cavity fat and with results of Block et al. (2001)Go for intermuscular fat. The current study accounted for both within- and between-breed variation; Vaage et al. (1998)Go and Block et al. (2001)Go did not consider relationships among animals. Confirmation or clarification of breed influences on fat partitioning observed in the current study awaits additional data from other studies, preferably involving whole-side dissection.

Heritabilities and Genetic and Phenotypic Correlations Among Fat Depots Adjusted to Alternative Slaughter End Points

As shown in Table 3Go, heritabilities of the 4 fat depots ranged from 0.22 (body cavity fat content adjusted to a constant marbling score) to 0.44 (intermuscular fat content adjusted to a constant marbling score). Fat partitioning should respond to selection if it can be assessed economically and accurately on a routine basis. Crews and Kemp (2001)Go reported greater age-constant heritabilities for intermuscular fat percentage (0.64) and marbling score (0.55). In contrast, Anderson et al. (1974)Go found low heritabilities for subcutaneous fat (0.01 ± 0.21) and intermuscular fat (0.19 ± 0.23) percentages, although numbers of observations were somewhat limited (49 sires averaging 4.4 offspring).


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Table 3. Estimates of phenotypic variance, heritability (diagonal, indicated in bold), and genetic and phenotypic correlations (above and below diagonal, respectively) among fat content in the subcutaneous, intermuscular, body cavity, and marbling depots in the 10th–11th–12th rib section of finished feedlot steers adjusted to different slaughter end points (±SE)
 
Genetic correlations among the fat depots were low to moderate (Table 3Go) and appeared to follow an anatomical gradient; subcutaneous fat content was more strongly related to intermuscular fat content (rg = 0.16 to 0.32) than to body cavity fat content (rg = –0.08 to 0.05). The genetic correlation between intermuscular and body cavity fat contents were similar at all end-points (rg = 0.38 to 0.50). Marbling score was more highly associated with body cavity fat content (rg = 0.18 to 0.28) than with intermuscular fat content (rg = 0.01 to 0.12) and had a weak negative relationship with subcutaneous fat content at all end points (rg = –0.01 to –0.11). The low genetic correlation between subcutaneous and body cavity fat depots may help explain the differences in fat partitioning among beef and dairy breeds reported in other studies (Berg and Butterfield, 1976Go; Kempster et al., 1976Go; Kempster, 1980Go). Fat partitioning among the different carcass depots are generally positive. However, the low to moderate magnitude of the genetic correlations indicate that different genetic mechanisms control fat partitioning among the subcutaneous, intermuscular, and body cavity depots. In support of these findings, Schenkel et al. (2005)Go reported that several single nucleotide polymorphisms in the leptin gene influenced dissectible fat yield but were unrelated to intramuscular fat percentage or quality grade.

Genetic Correlations Between Live Bull and Steer Carcass Traits with Steer Carcass Fat Partitioning Adjusted to Alternate Slaughter End Points

Genetic correlations between indicator traits with fat partitioning traits are shown in Table 4Go. Genetic correlations between yearling bull growth and ultrasound traits with carcass fat partitioning traits were generally no larger than their SE (Table 4Go). This may mean that the population genetic correlations do not differ from zero, or it may reflect the relatively low number of tested bulls with progeny in the partial carcass dissection data set. Provided the genetic correlations are representative of the population, the SE should decline with the addition of more data. This is assumed in the following discussion. Selection for increased postweaning gain in bulls should lead to decreased subcutaneous (rg = –0.10 to –0.18), intermuscular (rg = –0.24 to –0.35), body cavity (rg = –0.24 to 0.29), and marbling (rg = –0.34 to –0.39) fat content in steers (Table 4Go). Similar results were observed for hip height (Table 4Go), suggesting that selection for growth rate and size in bulls may influence steer carcass fat partitioning. Crews and Kemp (2001)Go reported that yearling weight in bulls and heifers was negatively associated with age-constant intermuscular fat content (rg = –0.33) and essentially independent of marbling score (rg = –0.03) in steers. In contrast, Thompson et al. (1987)Go found that divergent selection for weaning weight had little effect on fat partitioning in mature Merino sheep, suggesting a low genetic correlation between these traits. Perry and Arthur (2000)Go studied carcass composition and fat partitioning in Angus steers produced by 3.5 generations of divergent selection for yearling weight and found no differences in carcass composition or fat partitioning in steers slaughtered at 44 to 47 mo of age. Morris et al. (1993)Go compared Angus bulls from control and selected lines for 17 calf crops for yearling weight. Despite a 17.6% increase in HCW, fat partitioning among subcutaneous, intermuscular, and kidney and channel fat depots did not differ significantly between selected and control lines (Morris et al., 1993Go). Morris et al. (1993)Go and Perry and Arthur (2000)Go compared selected and control lines in animals that were 4 and 2 yr old, respectively. However, the absence of strain differences in physiologically mature animals in these studies does not imply that the strains reached physiological maturity at the same age. If comparisons had been conducted in typical market (i.e., physiologically immature) animals at a constant weight or fat depth, differences in fat partitioning might have been more apparent.


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Table 4. Genetic correlations among yearling bull growth and ultrasound traits, and steer carcass measurements with fat content in the subcutaneous, intermuscular, body cavity, and marbling depots in the 10th–11th–12th rib section, of finished feedlot steers, adjusted to different slaughter end points
 
Selection for reduced 12th–13th rib ultrasound fat depth in bulls is expected to result in decreased fat content in the subcutaneous (rg = 0.11 to 0.29), intermuscular (rg = 0.01 to 0.36), body cavity (rg = 0.27 to 0.49), and marbling (rg = 0.39 to 0.73) depots (Table 4Go). Crews and Kemp (2001)Go also reported positive correlations between yearling bull and heifer ultrasound fat depths with intermuscular fat content of steers (rg = 0.18 and 0.75, respectively), but negative correlations with marbling score (rg = –0.27 and –0.15, respectively). Adjusting 10th–11th–12th rib fat content data to a grade fat or marbling score-constant end point reduced the magnitude of the correlations between yearling bull ultrasound fat depth and dissected carcass fat percentage. For example, genetic correlations between yearling bull ultrasound fat depth with carcass intermuscular fat decreased from 0.36 (slaughter age constant) and 0.26 (HCW constant) to 0.05 (carcass fat depth constant) and 0.01 (marbling score constant; Table 4Go). Results of Bergen et al. (2006)Go indicated that yearling bull ultrasound 12th–13th rib fat depth also had stronger genetic correlations with dissected steer lean meat yield adjusted to slaughter age and HCW-constant end points (rg = –0.34 and –0.25, respectively) than at carcass fat depth or marbling score-constant end points (rg = –0.02 and –0.03, respectively). The sign of the genetic correlation between yearling bull ultrasound intramuscular fat content with steer carcass fat varied among depots. Genetic correlations were generally positive with body cavity and intermuscular fat content and negative with subcutaneous fat content. Selection for increased ultrasound intramuscular fat percentage in yearling bulls may lead to undesired correlated increases in body cavity and intermuscular fat content in steers, supporting concerns expressed by Kempster (1980)Go. This may be a concern if selection for carcass traits is based almost exclusively on seedstock ultrasound measurements.

Yearling bull ultrasound LM area had low or negative genetic correlations with fat content in all 4 depots at all end points. Crews and Kemp (2001)Go found that age-constant steer intermuscular fat content was negatively correlated with ultrasound LM area in yearling bulls (rg = –0.66) and heifers (rg = –0.12). Those researchers also reported that age-constant steer carcass marbling score was positively associated with ultrasound LM area in bulls (rg = 0.31) but not heifers (rg = –0.01). Linear LM depth and width measurements have not been studied as extensively as LM area. In the current study, Method 1 depth and width measurements also tended to be negatively associated with fat content in the 4 depots (Table 4Go). Notably, Method 1 width had relatively strong negative correlations with intermuscular (rg = –0.53 to –0.61), body cavity fat (rg = –0.63 to –0.69), and marbling score (rg = –0.75 to –0.87) at slaughter age-, HCW-, and fat depth-constant end points. This raises the possibility that yearling bull ultrasound LM Method 1 width may be a useful indicator trait for reducing intermuscular and body cavity fat, which are likely difficult to measure ultrasonically. Bivariate models involving Method 2 width failed to converge with intermuscular, body cavity, and marbling fat depots at constant slaughter age and HCW end points. Method 2 width also failed to converge with carcass marbling score and 10th–11th–12th rib dissected lean percentage in earlier studies (Bergen et al., 2005bGo, 2006Go). These convergence problems may be related to the low heritability of Method 2 width (h2 = 0.13; Bergen et al., 2005bGo). A larger ultrasound and carcass data set might have produced more conclusive results. In contrast, Method 2 depth measurements tended to be positively correlated with fat content in all 4 depots (except for slaughter age-constant marbling score). Bergen et al. (2005b)Go reported that Method 2 LM depth was negatively related to dissected carcass lean meat yield at all slaughter end point adjustments. Although no biological explanation presents itself for the relationship between LM shape and fat partitioning, results suggest that muscle shape might have important relationships with carcass fat partitioning as well as lean percentage.

Hot carcass weight tended to have a low, positive correlation with subcutaneous and body cavity fat content and a stronger, negative correlation with intermuscular fat content and marbling score. Carcass fat depth was positively correlated with fat content in all 4 depots at all end points and had a numerically stronger relationship with intermuscular and subcutaneous fat content than with body cavity fat content. Carcass LM area was negatively correlated with fat content in all depots at all end points and tended to have a stronger association with subcutaneous and intermuscular depots than with body cavity fat. As expected, lean meat yield estimates had moderate to strong negative correlations with all fat depots at all end points. The one exception was ruler lean meat yield, which had a positive relationship with body cavity fat content at the fat depth-constant end point.

The importance of fat partitioning is further underscored in Table 4Go. Dissected lean meat yield had stronger genetic correlations with intermuscular fat than with subcutaneous fat content at slaughter age (–0.80 vs. –0.69), HCW (–0.78 vs. –0.67), fat depth (–0.73 vs. –0.58), and marbling score (0.79 vs. –0.68) end points. Results shown in Bergen et al. (2006)Go indicated that yearling bull ultrasound fat depth was related to dissected lean meat yield in steers, particularly at slaughter age (rg = –0.34) and HCW (rg = –0.25) end points. Selection based on yearling bull ultrasound fat depth will reduce steer carcass fat content in both the subcutaneous (rg = 0.29) and intermuscular (rg = 0.26 to 0.36) fat depots at slaughter age- and HCW-constant end points (Table 4Go). However, the low genetic correlations between subcutaneous and intermuscular fat content at slaughter age- (rg = 0.30) and HCW-constant (0.32) endpoints suggest that selection aimed solely at reducing subcutaneous fat content will have limited impact on intermuscular fat content. Consequently, identification of additional indicator traits more strongly related to intermuscular fat content may be beneficial. Method 1 LM width appears to have potential in this regard (rg = –0.53 and –0.61 at slaughter age-constant and HCW-constant end points, respectively). Analysis of additional data sets is warranted to confirm or dismiss the potential value of alternative LM size measurements as indicator traits for fat partitioning in commercial beef carcasses. Additional ultrasound measurements such as body wall depth (Greiner et al., 2003Go; Bergen et al., 2005aGo) that may provide a more direct measurement of intermuscular fat content also warrant further investigation in this regard.


    IMPLICATIONS
 Top
 Abstract
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 IMPLICATIONS
 LITERATURE CITED
 
Genetic correlations less than unity indicate that the subcutaneous, intermuscular, body cavity, and marbling fat depots are not under identical genetic control. Although selection against subcutaneous fat depth (based on either ultrasound or carcass measurements) will likely lead to decreases in overall fat content, it may not yield the desired reduction in the intermuscular or body cavity fat depots. Inclusion of longissimus muscle shape measurements, such as depth or width, may allow more specific selection against intermuscular fat content.


    Footnotes
 
1 The assistance of S. Bothwell and C. Devitt in retrieving archived ultrasound images is appreciated. University of Guelph Elora Beef Cattle Research Center, New Liskeard Agricultural Research Station, and Agriculture and Agri-Food Canada’s Kapuskasing Research Station staff are gratefully acknowledged. Thanks is extended to C. Campbell, H. Greulich, S. Leo, B. McDougall, F. Reinhardt, and G. Snider of the University of Guelph Meats Wing for conducting the carcass dissection work. B. Caswell of the University of Guelph did an outstanding job of compiling and editing the carcass data. Back

2 Funding was provided by Agriculture and Agri-Food Canada’s Agriculture Adaptation Council, Beef Improvement Ontario, the Canadian Foundation for Innovation, the Ontario Cattlemen’s Association, the Natural Sciences and Engineering Research Council of Canada, the Ontario Innovation Trust, and the Ontario Ministry of Agriculture and Food. Back

3 Corresponding author: miller{at}uoguelph.ca

Received for publication August 5, 2005. Accepted for publication October 3, 2005.


    LITERATURE CITED
 Top
 Abstract
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 IMPLICATIONS
 LITERATURE CITED
 


Anderson, B. B., H. T. Fredeen, and G. M. Weiss. 1974. Correlated response in birth weight, growth rate and carcass merit under single-trait selection for yearling weight in beef Shorthorn cattle. Can. J. Anim. Sci. 54:117–125.

Berg, R. T., and R. M. Butterfield. 1976. New Concepts of Cattle Growth. John Wiley and Sons, Toronto, ON, Canada.

Bergen, R. 2005. Genetic improvement of carcass composition and fat partitioning in steers using yearling bull measurements. Ph.D. Diss., Univ. Guelph, Guelph, ON, Canada.

Bergen, R., S. P. Miller, I. B. Mandell, and W. M. Robertson. 2005a. Use of live ultrasound, weight and linear measurements to predict carcass composition of young beef bulls. Can. J. Anim. Sci. 85:23–35.

Bergen, R., S. P. Miller, and J. W. Wilton. 2005b. Genetic correlations among indicator traits for carcass composition measured in yearling beef bulls and finished feedlot steers. Can. J. Anim. Sci. 85:463–473.

Bergen, R., S. P. Miller, J. W. Wilton, D. H. Crews Jr., and I. B. Mandell. 2006. Genetic correlations between live yearling bull and steer carcass traits adjusted to different slaughter end points 1. Carcass lean percentage. J. Anim. Sci. 84:546–557.[Abstract/Free Full Text]

Block, H. C., J. J. McKinnon, A. F. Mustafa, and D. A. Christensen. 2001. Manipulation of cattle growth to target carcass quality. J. Anim. Sci. 79:133–140.[Abstract/Free Full Text]

Canadian Council on Animal Care. 1993. Guide to the care and use of experimental animals. CCAC, Ottawa, Ontario, Canada.

Crews Jr., D. H., and R. A. Kemp. 2001. Genetic parameters for ultrasound and carcass measures of yield and quality among replacement and harvest beef cattle. J. Anim. Sci. 79:3008–3020.[Abstract/Free Full Text]

Fernandes, T. L., J. W. Wilton, I. B. Mandell, and C. J. B. Devitt. 2002. Genetic parameter estimates for meat quality traits in beef cattle managed under a constant finishing program. Proc. 7th World Cong. Genet. Appl. Livest. Prod., Montpellier, France. Communication No. 02–93.

Gilmour, A. R., B. R. Cullis, S. J. Welham, and R. Thompson. 2000. ASREML Reference Manual. New South Wales Agriculture, Orange, Australia.

Gregory, K. E., L. V. Cundiff, R. M. Koch, R. E. Dikeman, and M. Koohmaraie. 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.[Abstract]

Greiner, S. P., G. H. Rouse, D. E. Wilson, L. V. Cundiff, and T. L. Wheeler. 2003. Accuracy of predicting weight and percentage of beef carcass retail product using ultrasound and live animal measures. J. Anim. Sci. 81:466–473.[Abstract/Free Full Text]

Hankins, O. G., and P. E. Howe. 1946. Estimation of the composition of beef carcasses and cuts. USDA Tech. Bull. 926. Washington, DC.

Johnson, E. R., R. M. Butterfield, and W. J. Pryor. 1972. Studies of fat distribution in the bovine carcass. I. The partition of fatty tissues between depots. Austr. J. Agric. Res. 23:381–388.

Johnston, D. J., J. M. Thompson, and K. Hammond. 1992. Additive and nonadditive differences in postweaning growth and carcass characteristics of Devon, Hereford, and reciprocal-cross steers. J. Anim. Sci. 70:2688–2694.[Abstract]

Jones, S. D. M., M. A. Price, and R. T. Berg. 1980. Fattening patterns in cattle. 1. Fat partition among the depots. Can. J. Anim. Sc.i 60:843–850.

Kempster, A. J. 1980. Fat partition and distribution in the carcasses of cattle, sheep and pigs: A review. Meat Sci. 5:83–98.

Kempster, A. J., A. Cuthbertson, and G. Harrington. 1976. Fat distribution in steer carcasses of different breeds and crosses. Anim. Prod. 23:25–34.

Marshall, D. M. 1994. Breed differences and genetic parameters for body composition traits in beef cattle. J. Anim. Sci. 72:2745–2755.[Abstract]

Morris, C. A., R. L. Baker, J. J. Bass, K. R. Jones, and J. A. Wilson. 1993. Carcass composition in weight-selected and control bulls from a serial harvest experiment. Aust. J. Agric. Res. 44:199–213.

Perry, D., and P. F. Arthur. 2000. Correlated responses in body composition and fat partitioning to divergent selection for yearling growth rate in Angus cattle. Livest. Prod. Sci. 62:143–153.

Reverter, A., D. J. Johnston, H. U. Graser, M. L. Wolcott, and W. H. Upton. 2000. Genetic analyses of live-animal ultrasound and abattoir carcass traits in Australian Angus and Hereford cattle. J. Anim. Sci. 78:1786–1795.[Abstract/Free Full Text]

Robelin, J. 1986. Growth of adipose tissues in cattle; partitioning between depots, chemical composition and cellularity. A review. Livest. Prod. Sci. 14:349–364.

Schenkel, F. S., S. P. Miller, X. Ye, S. S. Moore, J. D. Nkrumah, C. Li, J. Yu, I. B. Mandell, J. W. Wilton, and J. L. Williams. 2005. Association of single nucleotide polymorphisms in the leptin gene with carcass and meat quality traits of beef cattle. J. Anim. Sci. 83:2009–2020.[Abstract/Free Full Text]

Thompson, J. M., R. M. Butterfield, and D. Perry. 1987. Food intake, growth and body composition in Australian Merino sheep selected for high and low weaning weight. 4. Partitioning of dissected and chemical fat in the body. Anim. Prod. 45:49–60.

Vaage, A. S., D. H. McCartney, J. J. McKinnon, and R. D. Bergen. 1998. Effect of prolonged backgrounding on growth performance and carcass composition of crossbred beef steers. Can. J. Anim. Sci. 78:359–367.

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

Wheeler, T. L., L. V. Cundiff, S. D. Shackelford, and M. Koohmaraie. 2004. Characterization of biological types of cattle (Cycle VI): Carcass, yield and longissimus palatability traits. J. Anim. Sci. 82:1177–1189.[Abstract/Free Full Text]


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