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Mixed model analysis of non-linearity between cooking loss and aging time plus other effects

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26788462%3A_____%2F10%3A%230000363" target="_blank" >RIV/26788462:_____/10:#0000363 - isvavai.cz</a>

  • Alternative codes found

    RIV/49608851:_____/10:#0000396

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Mixed model analysis of non-linearity between cooking loss and aging time plus other effects

  • Original language description

    We used the package nlme in the R software for description and statistical analysis of non-linear relationship between cooking loss and aging time. The relationship was described by the asymptotic regression model "cooking loss=Asym+(R0-Asym) exp[-exp(lrc)Time]" with 3 physically meaningful parameters: R0 = the response at slaughter time, lrc = logarithm of the rate constant and Asym = a response that approaches a horizontal asymptote. After the basic model was formed, we put random effects into the model at nested levels: i) subject (animal), ii) subjects within sires and iii) sires within years. Age, fattening system (extensive vs. intensive), length of hind quarter, weight of carcass, ratio between length of fore and hind quarter, weight proportionof the LM in the carcass and status (bulls, steers) were put into the model as fixed effects. The results revealed that fattening system, age and length of animals significantly affect cooking loss in aged beef.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

    GM - Food industry

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2010

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů