The use of seemingly unrelated regression to predict the carcass composition of lambs
- 31 December 2012
- journal article
- research article
- Published by Elsevier BV in Meat Science
- Vol. 92 (4), 548-553
- https://doi.org/10.1016/j.meatsci.2012.05.025
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- Prediction of fat, muscle and value in Norwegian lamb carcasses using EUROP classification, carcass shape and length measurements, visible light reflectance and computer tomography (CT)Meat Science, 2009
- The use of various live animal measurements to predict carcass and meat quality in two divergent lamb breedsMeat Science, 2008
- Predicting the composition of lamb carcases using alternative fat and muscle depth measuresMeat Science, 2008
- An industry applicable model for predicting lean meat yield in lamb carcassesAustralian Journal of Experimental Agriculture, 2008
- systemfit: A Package for Estimating Systems of Simultaneous Equations inRJournal of Statistical Software, 2007
- Lamb Meat Quality Assessment by Support Vector MachinesNeural Processing Letters, 2006
- Objective on-line assessment of marbling: a brief reviewAustralian Journal of Experimental Agriculture, 2004
- Use of cold carcass weight and fat depth measurements to predict carcass composition of Rasa Aragonesa lambsSmall Ruminant Research, 1996
- In vivo estimation of carcass meat by ultrasound in ram lambs slaughtered at an average live weight of 37 kgAnimal Science, 1986
- Goodness of fit for seemingly unrelated regressions: Glahn's R2y.x and Hooper's r̄2Journal of Econometrics, 1977