Australian beef, sheep and pork D.J. Brown, D.W. Pethick, P. - - PowerPoint PPT Presentation

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Australian beef, sheep and pork D.J. Brown, D.W. Pethick, P. - - PowerPoint PPT Presentation

May 08, 2023 29 likes β€’295 views

Objective carcass measurements to improve lean meat yield and eating quality in Australian beef, sheep and pork D.J. Brown, D.W. Pethick, P. McGilchrist, C.K. Ruberg ,W.S Pitchford, R. Apps, G.E. Gardner Speaker: Daniel Brown Objective

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Objective carcass measurements to improve lean meat yield and eating quality in Australian beef, sheep and pork

D.J. Brown, D.W. Pethick, P. McGilchrist, C.K. Ruberg ,W.S Pitchford, R. Apps, G.E. Gardner Speaker: Daniel Brown

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Objective Carcass Measurement to Improve Lean Meat Yield and Eating Quality in Australian Beef, Sheep and Pork

Daniel Brown, David Pethick, Peter McGilchrist, Christian Ruberg, Wayne Pitchford, Richard Apps and Graham Gardner

This project is supported by funding from the Australian Government Department of Agriculture and Water Resources as part of its Rural R&D for Profit programme in partnership with Research and Development Corporations, Commercial Companies, State Departments and Universities.

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Precision measurement

from paddock/pen to plate

  • Predict quality and amount of final product

Conception Live Animal Carcass Retail Cuts Cooked Product

Value Value Value Value

Massive variation is quantity and quality of carcasses at all points Potential Gross Benefit of objective measurements ~$420M/ann by 2030, with 65% LMY <DEXA>, and equally shared between producer / processor.

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Current trading in beef and lamb

  • Traded largely
  • n carcass weight
  • Fat penalties only at the extremes

P8 Fat Depth GR tissue depth

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Extra precision gives more accurate (and wider) differentiation of carcase value

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6

Meat St Standards Australi lia eatin ing quali lity model

Trading on Eating Quality

Doesn’t exist for lamb!

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Loin Eating Quality and HSCW

40 50 60 70 80 90 100 14 19 24 29 34

Overall Liking Hot Standard Carcass Weight (kg)

Model: Overall Liking = Sex + Siretype + HCWT

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The Genetics Business Case

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Breeding for yield and eating quality: Sheep Genetics

Animal performance Carcass measurements Consumer eating quality Genomic testing

Resource flocks and ram breeders

Actively using LMY, SF and IMF data in ASBVs and Indexes

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2D X-Ray for driving robots

Scott Technology

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Beef > 1,500,000 sides 104 sides R2 > 0.88 Lamb > 3,000,000 carcasses 600+ carcasses R2 > 0.90

𝑦 + 𝑏 π‘œ =

𝑙=0 π‘œ

π‘œ 𝑙 π‘¦π‘™π‘π‘œβˆ’π‘™ 𝑦 + 𝑏 π‘œ =

𝑙=0 π‘œ

π‘œ 𝑙 π‘¦π‘™π‘π‘œβˆ’π‘™

DEXA – Technology, Algorithm and LMY Correlation

Technology Algorithm Correlation

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15 20 25 30 35 40 15 20 25 30 35 40

CT Fat %

DEXA Predicted CT Fat % R2=0.88, RMSE=1.54

DEXA predicting CT Fat% in lamb

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Predicting CT Composition in Beef

R2=0.73, RMSE=3.49 R2=0.88, RMSE=3.21 R2=0.93, RMSE=0.81 CT Lean% CT Fat% CT Bone%

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  • 3D Red, Green, Blue, + Depth

(RGBD - xbox) camera technology

  • Trialed to show great ability to

assess body condition score

On-Farm Yield Prediction

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What about quality - Hyper MIJ Camera

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What about quality - Hyper spectral imaging

What we think it can grade:

  • Eye muscle area
  • IMF (marbling scores)
  • Meat / Fat colour
  • Subcutaneous fat
  • Ossification

Other Technologies

  • NIR
  • CT / Cone Beam / Flat Panel CT
  • NMR/MRI
  • Aviation CT
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Others Characteristics

  • Rib count
  • Dimensions
  • Muscularity
  • Shape
  • Age / Maturity

ALMTech Annual Review 2017/18

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Other Factors being studied

  • Slaughter factors
  • Spray chilling
  • Carcass orientation (180 degree turn)
  • Carcass temperature
  • Time post mortem
  • Fixed effects
  • Sex, breed, age, finishing system
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Producer feedback Meat:Fat:Bone Carcass

DEXA

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Processor utilisation

  • Carcass calculators (Beef and Sheep)
  • Retail cut value
  • Value based marketing
  • Predict processing costs / wastage
  • Optimise carcass usage and market volumes

Optimised profit

$ $ $ $ $

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AUSMEAT, Calibration & Industry Standardisation

AUSMEAT Mobile CT scanner DEXA insideβ„’ (industry standard)

𝑦 + 𝑏 π‘œ =

𝑙=0 π‘œ

π‘œ 𝑙 π‘¦π‘™π‘π‘œβˆ’π‘™

Algorithm (Beef & Sheep) (Industry std. & Industry IP) Calibration block (industry standard)

+ + +

industry data/trait/identification standards vital

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Genetic Carcass Data from Commercial Slaughter

Requirements

  • Valid groups (true contemporaries)
  • Animals must not been β€œharvested”

from the feedlot pen or grass finished mob

  • Must have relevant fixed effects (birth

dates, litter size, sex etc?)

  • Pedigree (DNA)
  • Sires randomly mated
  • Effective progeny numbers
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Industry data flow

ALMTech Annual Review 2017/18

New Devices

  • LMY
  • IMF
  • Health
  • Compliance

Supply Chain

  • Existing

feedback systems

MLA

  • LDL
  • NLIS

Genetic Evaluation

  • BREEDPLAN
  • LAMBPLAN

Eartag (NLIS/RFID) Hook tracking GE ID

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Conclusions

  • Existing carcass measurement is poor
  • DEXA lamb carcass composition
  • Beef DEXA promising
  • EQ important but not yet clear
  • ALMTech will accelerate development
  • Beef, lamb, pork industries
  • ICAR guidelines
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SLIDE 26

Supporting partners