Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 433324
Title Prediction of pork quality with near infrared spectroscopy (NIRS) 2. Feasibility and robustness of NIRS measurements under production plant conditions
Author(s) Kapper, C.; Klont, R.E.; Verdonk, J.M.A.J.; Williams, P.C.; Urlings, H.A.P.
Source Meat Science 91 (2012)3. - ISSN 0309-1740 - p. 300 - 305.
DOI https://doi.org/10.1016/j.meatsci.2012.02.006
Department(s) Animal Nutrition
WIAS
Publication type Refereed Article in a scientific journal
Publication year 2012
Keyword(s) water-holding capacity - early post-mortem - reflectance spectroscopy - intramuscular fat - drip loss - meat - spectra - beef - attributes - carcass
Abstract Longissimus dorsi samples (685) collected at four processing plants were used to develop prediction equations for meat quality with near infrared spectroscopy. Equations with R2 > 0.70 and residual prediction deviation (RPD) = 2.0 were considered as applicable for screening. One production plant showed R2 0.76 and RPD 2.05, other plants showed R2 <0.70 and RPD <2.0 for drip loss %. RPD values were = 2.05 for drip loss%, for colour L* = 1.82 and pH ultimate (pHu) = 1.57. Samples were grouped for drip loss%; superior (<2.0%), moderate (2–4%), inferior (> 4.0%). 64% from the superior group and 56% from the inferior group were predicted correctly. One equation could be used for screening drip loss %. Best prediction equation for L* did not meet the requirements (R2 0.70 and RPD 1.82). pHu equation could not be used. Results suggest that prediction equations can be used for screening drip loss %.
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