Project Summary

Can DNA Marker Technology Improve Feedlot Growth Promotion Management Decisions to Ultimately Improve the Consumer’s Beef Eating Experience?  

Principle Investigator(s):
J. J. Wagner, K. T. Thompson, T. G. O’Quinn, D. R. Woerner, T. E. Engle, R. K. Peel, J. K. Ahola, B. W. Woodward, & M. N. Streeter
Institution(s):
Colorado State University
Completion Date:
May 2011
Background

Millions of dollars have been invested in studying and mapping the bovine genome and diagnostic tools have been developed to predict genetic potential for numerous traits. These tools can be used to select breeding stock with superior genetics for marbling and tenderness. Genetic tools also may be used to sort feedlot cattle upon arrival into outcome groups with carcasses of similar predicted marbling or tenderness. Using growth promotion technologies has significantly reduced beef production costs. Maintaining end-product quality is also important. End-product quality may be improved if DNA marker assisted technology can allow feedlot operators to make more appropriate growth promotion technology decisions.

The objectives of this project were to:
  1. Evaluate the effectiveness of sorting feedlot cattle into marbling or tenderness outcome groups based on DNA marker technology; and 
  2. Determine if interactions related to end-product quality and palatability exist between predicted outcome group and growth promotion management strategy.

Methodology

Yearling steers (n = 1100, pay-weight = 794 lb) were individually weighed and whole blood was collected for DNA analysis. Using the DNA profile data individuals were identified with: 1) low tenderness and low marbling (LL), 2) low tenderness and high marbling (LH), 3) high tenderness and low marbling (HL), and 4) high tenderness and high marbling (HH). Within each tenderness x marbling outcome group, 90 steers were selected for the study and assigned to 10 pens of 9 steers. Five pens were assigned to a moderate growth promotion strategy (MGP) that included an initial (day 0) and re-implant (day 70) with Revalor-IS and no beta– agonist. Five pens were assigned to an aggressive growth promotion strategy (AGP) that included a Revalor-XS implant on d 0 and Zilmax at 6.8 g/ton-1 of dry matter (DM) for 20 of the final 23 days on feed. Steers were harvested at a commercial beef processing facility in northern Colorado on day 140 (replicates 3, 4 and 5) and day 154 (replicates 1 and 2) using conventional, humane procedures and carcass data were collected. A 5 cm portion from the 13th rib portion of the Longissimus (striploin) muscle was removed from the right side of three carcasses from each pen, vacuum-packaged and aged for 14 days, frozen at the end of the aging period, and stored at -20°C prior to steak fabrication and determination of Warner-Bratzler shear force (WBSF) measurements.

Findings

Predicted Tenderness
Steers sorted into the HT genotype were 13 lb heavier at the start of the study and 26 lb heavier at harvest than steers sorted into the LT genotypes (Table 1). Average daily gain through most of the study was not affected by tenderness genotype. Dry matter intake day 1-harvest was greater for the HT steers as compared with the LT steers (21.61 versus 20.69 lb/hd-1/d-1). Feed efficiency was not affected by tenderness genotype. Most carcass variables were not affected by tenderness genotype. Hot carcass weight was numerically, but not statistically, higher for the HT steers as compared with LT steers. Shear force was 0.33 kg lower (more tender) for the HT steaks as compared with the LT steaks.

Predicted Marbling
Steers sorted into the HM genotype were 20 lb heavier at the start of the study and 46 lb heavier at harvest than steers sorted into the LM genotype (Table 2). Average daily gain was greater for the HM steers as compared with the LM steers (3.43 versus 3.25 lb/hd-1d-1). Average DMI was greater for the HM genotype steers as compared with the LM genotype (21.60 versus 20.70 lb/hd-1/d-1). Feed efficiency was not affected by marbling genotype. Hot carcass weight was 28 lb heavier for HM steers as compared with LM steers. High marbling carcasses also had greater average yield grade and marbling scores as compared with LM steers. There were no differences in WBSF associated with predicted marbling genotype.

Growth Promotion Strategy
Steers subjected to the AGP were 18 lb heavier at harvest than steers subjected to the MGP (Table 3). From day 1-harvest, DMI was not affected by growth promotion strategy; however, ADG and FG were improved for AGP steers as compared with MGP steers. Hot carcass weight was increased 27 lb for steers assigned to the AGP as compared with MGP. Increased HCW was a function of an increase in dressing percentage for the AGP compared with MGP steers. Average yield grade was lower for the AGP as compared with the MGP. Marbling score and the distribution of USDA quality grades were not affected by growth promotion strategy. Steaks from the AGP carcasses had increased WBSF as compared with MGP steaks.

Implications  

Yearling steers can successfully be sorted into marbling or tenderness outcome groups using DNA marker technology. Tenderness can be improved by using MGP as compared with AGP; however, growth promotion strategy did not impact marbling or USDA quality grade distribution and few interactions related to end-product quality and no interactions for WBSF existed between predicted outcome group and growth promotion management strategy indicating that the degree that end product quality is impacted by growth promotion strategy is largely independent of marbling and tenderness genotype. 
Graphs/Tables

Table 1. Effect of predicted tenderness, marbling, and growth promotion strategy on feedlot performance and carcass merit.

Tenderness:  

Low  

High  

SEM  

Prob. > F  

Initial weight, lb  

837  

850  

42.4  

0.0154  

Final weight, lb  

1316  

1342  

41.9  

0.0047  

ADG (d 1 - finish)  

3.30  

3.39  

0.07  

0.1021  

DMI (d 1 - finish)  

20.69  

21.61  

0.57  

0.0140  

FG (d 1 - finish)  

6.29  

6.38  

0.09  

0.3957  

Hot carcass weight  

849  

861  

26.45  

0.1194  

Dressing percent  

64.37  

64.19  

0.18  

0.4533  

Yield Grade  

3.11  

3.23  

0.09  

0.2161  

Marbling Score1  

447  

454  

10.20  

0.3993  

WBSF  

3.92  

3.59  

0.11  

0.0209  

Marbling:  

Low  

High  

SEM  

Prob. > F  

Initial weight, lb  

833  

853  

42.4  

0.0004  

Final weight, lb  

1307  

1353  

41.9  

< 0.0001  

ADG (d 1 - finish)  

3.25  

3.43  

0.07  

0.0031  

DMI (d 1 - finish)  

20.70  

21.60  

0.57  

0.0158  

FG (d 1 - finish)  

6.37  

6.30  

0.09  

0.5156  

Hot carcass weight  

841  

869  

26.45  

0.0115  

Dressing percent  

64.42  

64.14  

0.17  

0.1634  

Yield Grade  

3.04  

3.30  

0.10  

0.0826  

Marbling Score1  

437  

464  

10.20  

0.0226  

WBSF  

3.79  

3.72  

0.11  

0.6092  

GP strategy:  

Moderate  

Aggressive  

SEM  

Prob. > F  

Initial weight, lb  

843  

843  

42.8  

0.9622  

Final weight, lb  

1321  

1339  

41.9  

0.0536  

ADG (d 1 - finish)  

3.28  

3.40  

0.07  

0.0347  

DMI (d 1 - finish)  

21.28  

21.02  

0.57  

0.4626  

FG (d 1 - finish)  

6.50  

6.17  

0.09`  

0.0074  

Hot carcass weight  

842  

869  

26.50  

0.0171  

Dressing percent  

63.67  

64.89  

0.18  

0.0032  

Yield Grade  

3.31  

3.03  

0.09  

0.0278  

Marbling Score1  

448  

454  

10.49  

0.5219  

WBSF  

3.55  

3.96  

0.11  

0.0054  

  • 1Small00=400 
Photos

Figure 1. Squeeze chute and data collection computer at the Southeast Colorado Research Center 

Figure 2. Cattle illustrating the diverse breed types on the study. 

Figure 3. Equipment used to measure WBSF. 

Figure 4. Obtaining the core sample for WBSF evaluation.