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Greg Highfill Area Livestock Specialist Oklahoma Cooperative Extension Service
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Feedout Utilizing Vision Image Analysis and Warner-Bratzler Shear Force Data in Educational Programming Greg Highfill Area Livestock Specialist Oklahoma Cooperative Extension Service
description
OK Steer Feedout Utilizing Vision Image Analysis and Warner-Bratzler Shear Force Data in Educational Programming. Greg Highfill Area Livestock Specialist Oklahoma Cooperative Extension Service. Since 1984 Groups of 5 head Fall Born Test – August – Feb. Spring Born Test – Nov. - May - PowerPoint PPT Presentation
Transcript of Greg Highfill Area Livestock Specialist Oklahoma Cooperative Extension Service
OK Steer Feedout Utilizing Vision Image Analysis and
Warner-Bratzler Shear Force Data in Educational Programming
Greg HighfillArea Livestock Specialist
Oklahoma Cooperative Extension Service
• Since 1984• Groups of 5 head
Fall Born Test – August – Feb. Spring Born Test – Nov. - May
• 150 – 180 Days on Feed• Grid Market – 3 of 5 est. Choice
MarblingMt 60
4.10 554 1288
Choice °
R. C. Brinlee 132
DOF179
Carcass Wt. 783Fat .35REA 13.0YG Calc 2.99USDA YG 2
CAB
MarblingSl 50
2.86 650 1122
Select -
Randall Newton 57
DOF165
Carcass Wt. 690Fat .30REA 12.6YG Calc 2.24USDA YG 2
Warner-Bratzler Shear Force
• Since 1999• 25% of steers• 593 steaks sampled• OSU FAPC
0%
20%
40%
60%
80%
100%
% Choice % Tender
OKSFO 1999-2006Steers Tenderness Tested
n = 593
1/10
6/10
4/142/9
10/10 14/14 9/9 10/10
0%20%40%60%80%
100%
2004 2005 2006 2007
% Choice % Tender
OK Steer Feedout - Ranch Data ExamplePercent Tender & Percent Choice by Year
4
6
8
10
12
14
16
18
200 300 400 500 600 700
Marbling Score 400=Choice
War
ner-
Bra
tzle
r Sh
ear
Forc
e, lb
sMarbling Score as a Predictor of Warner-Bratzler Shear Force Values
R = - 0.1974
12.5 & up Very Tough10.1- 12.5 Tough8.51- 10.0 Tender< 8.5 lbs Very Tender
Vision Image Analysis - VIA
MarblingMt 40
Choice °Sterling Silver
Fat Th. .60 in.
REA 11.9 sq. in.
Walker Hall 26
VIA
Vision Image AnalysisGroup 1
N=48
Group 2
N=21
Average Lean Area, sq in. 12.26 12.55
Average Fat Thickness .382 .441
Average Adj. Marbling Score 1.9825 2.246
Average Lean Color Score 39.7 38.2
Average Red Meat Yield 72.65% 72.22%
Red Meat Yield Max/Min 75.3 / 70.0 74.5 / 71.4
Vision Image AnalysisGroup 1
N=48
Group 2
N=21
Percent Light Muscled 14.6% 14.3%
Percent Average Muscled 58.3% 76.2%
Percent Heavy Muscled 27.1% 9.5%
Calculated YG vs VIA RMY
68.0%
70.0%
72.0%
74.0%
76.0%
78.0%
1.001.502.002.503.003.504.004.50
Calculated Yield Grade
Red
Mea
t Yie
ld
r = -0.792
Vision Image Analysis
• Developed to Enhance USDA Quality and Yield Grading Approved October 2006 Still in Implementation Stage RMS to E+V Camera – Cargill Meat Solutions
• Increase Producer Feedback Extension programming
• Value Determination
0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
4.00
4.50
5.00
0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5
Calculated and USDA YG
VIA
YG
Calc YG
USDA YG
Linear (Calc YG)
