Can a Nitfom Near Infrared System Predict Laboratory Intramuscular Fat Values?

S.M. Fowler; R. van de Ven; J. Hocking Edwards; G.E. Gardner; D.L. Hopkins; D.W. Pethick

Can a Nitfom Near Infrared System Predict Laboratory Intramuscular Fat Values?

In: 63rd International Congress of Meat Science and Technology

Authors:

S.M. Fowler

S.M. Fowler ¹Cooperative Research Centre for Sheep Innovation, Armidale, Australia
²NSW Department of Primary Industries, Centre for Red Meat and Sheep Development Cowra, Australia

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R. van de Ven

R. van de Ven ¹Cooperative Research Centre for Sheep Innovation, Armidale, Australia
³Orange Agricultural Institute, NSW Department of Primary Industries, Orange, Australia

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J. Hocking Edwards

J. Hocking Edwards ¹Cooperative Research Centre for Sheep Innovation, Armidale, Australia
⁴South Australian Research Development Institute, Struan Research Centre, Naracoorte, Australia

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G.E. Gardner

G.E. Gardner ¹Cooperative Research Centre for Sheep Innovation, Armidale, Australia
⁵Division of Veterinary and Life Sciences, Murdoch University, Perth, Australia; david.hopkins@dpi.nsw.gov.au

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D.L. Hopkins

D.L. Hopkins ¹Cooperative Research Centre for Sheep Innovation, Armidale, Australia
²NSW Department of Primary Industries, Centre for Red Meat and Sheep Development Cowra, Australia

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, and

D.W. Pethick

D.W. Pethick ¹Cooperative Research Centre for Sheep Innovation, Armidale, Australia
⁵Division of Veterinary and Life Sciences, Murdoch University, Perth, Australia; david.hopkins@dpi.nsw.gov.au

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Type:: Chapter

Pages:: 720–721

DOI:: https://doi.org/10.3920/9789086868605_323

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This study investigated the potential to predict laboratory intramuscular fat (IMF) content of lamb loins (n=486) and topsides (n=287) using a NitFom near infrared (NIR) system. Modelling of NitFom spectra against IMF content determined using an NIR laboratory method revealed a poor ability to predict IMF in both muscles (R²_cv = 0.15 and R²_cv = 0.05 for loin and topside respectively). It is hypothesised that the poor prediction may be due to the development of the technology originally as a tool to determine fatty acid composition of pork subcutaneous fat and the use of an NIR reference measurement which results in additional error within predictive models compared to wet chemistry.

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63rd International Congress of Meat Science and Technology

Nurturing locally, growing globally

E-Book ISBN:: 9789086868605

Publisher:: Wageningen Academic

Print Publication Date:: 15 Nov 2017

Subjects
- Life Sciences

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Can a Nitfom Near Infrared System Predict Laboratory Intramuscular Fat Values?

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63rd International Congress of Meat Science and Technology

Nurturing locally, growing globally

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