The use of seemingly unrelated regression to predict the carcass composition of lambs

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Standard

The use of seemingly unrelated regression to predict the carcass composition of lambs. / Cadavez, V.A.P.; Henningsen, Arne.

I: Meat Science, Bind 92, Nr. 4, 2012, s. 548–553.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Cadavez, VAP & Henningsen, A 2012, 'The use of seemingly unrelated regression to predict the carcass composition of lambs', Meat Science, bind 92, nr. 4, s. 548–553. https://doi.org/10.1016/j.meatsci.2012.05.025

APA

Cadavez, V. A. P., & Henningsen, A. (2012). The use of seemingly unrelated regression to predict the carcass composition of lambs. Meat Science, 92(4), 548–553. https://doi.org/10.1016/j.meatsci.2012.05.025

Vancouver

Cadavez VAP, Henningsen A. The use of seemingly unrelated regression to predict the carcass composition of lambs. Meat Science. 2012;92(4):548–553. https://doi.org/10.1016/j.meatsci.2012.05.025

Author

Cadavez, V.A.P. ; Henningsen, Arne. / The use of seemingly unrelated regression to predict the carcass composition of lambs. I: Meat Science. 2012 ; Bind 92, Nr. 4. s. 548–553.

Bibtex

@article{8bf5c492e3154d57b432f6cc3b78aef0,
title = "The use of seemingly unrelated regression to predict the carcass composition of lambs",
abstract = "The aim of this study was to develop and evaluate models for predicting the carcass composition of lambs. Forty male lambs were slaughtered and their carcasses were cooled for 24 hours. The subcutaneous fat thickness was measured between the 12th and 13th rib and breast bone tissue thickness was taken in the middle of the second sternebrae. Left side of carcasses was dissected and the proportions of lean meat (LMP), subcutaneous fat (SFP), intermuscular fat (IFP), kidney and knob channel fat (KCFP), and bone plus remainder (BP) were obtained. Models were fitted using the seemingly unrelated regression (SUR) estimator which is novel in this area, and compared to ordinary least squares (OLS) estimates. Models were validated using the PRESS statistic. Our results showed that SUR estimator performed better in predicting LMP and IFP than the OLS estimator. Although objective carcass classification systems could be improved by using the SUR estimator, it has never been used before for predicting carcass composition.",
author = "V.A.P. Cadavez and Arne Henningsen",
note = "Working Paper (Pre-print version of the manuscript): http://econpapers.repec.org/RePEc:foi:wpaper:2011_12",
year = "2012",
doi = "10.1016/j.meatsci.2012.05.025",
language = "English",
volume = "92",
pages = "548–553",
journal = "Meat Science",
issn = "0309-1740",
publisher = "Elsevier",
number = "4",

}

RIS

TY - JOUR

T1 - The use of seemingly unrelated regression to predict the carcass composition of lambs

AU - Cadavez, V.A.P.

AU - Henningsen, Arne

N1 - Working Paper (Pre-print version of the manuscript): http://econpapers.repec.org/RePEc:foi:wpaper:2011_12

PY - 2012

Y1 - 2012

N2 - The aim of this study was to develop and evaluate models for predicting the carcass composition of lambs. Forty male lambs were slaughtered and their carcasses were cooled for 24 hours. The subcutaneous fat thickness was measured between the 12th and 13th rib and breast bone tissue thickness was taken in the middle of the second sternebrae. Left side of carcasses was dissected and the proportions of lean meat (LMP), subcutaneous fat (SFP), intermuscular fat (IFP), kidney and knob channel fat (KCFP), and bone plus remainder (BP) were obtained. Models were fitted using the seemingly unrelated regression (SUR) estimator which is novel in this area, and compared to ordinary least squares (OLS) estimates. Models were validated using the PRESS statistic. Our results showed that SUR estimator performed better in predicting LMP and IFP than the OLS estimator. Although objective carcass classification systems could be improved by using the SUR estimator, it has never been used before for predicting carcass composition.

AB - The aim of this study was to develop and evaluate models for predicting the carcass composition of lambs. Forty male lambs were slaughtered and their carcasses were cooled for 24 hours. The subcutaneous fat thickness was measured between the 12th and 13th rib and breast bone tissue thickness was taken in the middle of the second sternebrae. Left side of carcasses was dissected and the proportions of lean meat (LMP), subcutaneous fat (SFP), intermuscular fat (IFP), kidney and knob channel fat (KCFP), and bone plus remainder (BP) were obtained. Models were fitted using the seemingly unrelated regression (SUR) estimator which is novel in this area, and compared to ordinary least squares (OLS) estimates. Models were validated using the PRESS statistic. Our results showed that SUR estimator performed better in predicting LMP and IFP than the OLS estimator. Although objective carcass classification systems could be improved by using the SUR estimator, it has never been used before for predicting carcass composition.

U2 - 10.1016/j.meatsci.2012.05.025

DO - 10.1016/j.meatsci.2012.05.025

M3 - Journal article

C2 - 22721640

VL - 92

SP - 548

EP - 553

JO - Meat Science

JF - Meat Science

SN - 0309-1740

IS - 4

ER -

ID: 41812107