Skip to main navigation
Skip to search
Skip to main content
University of Copenhagen Research Portal Home
Help & FAQ
Dansk
English
Home
Profiles
Research output
Research units
Press/Media
Activities
Prizes
???studenttheses???
Datasets
Search by expertise, name or affiliation
The use of seemingly unrelated regression (SUR) to predict the carcass composition of lambs
Vasco A. P. Cadavez,
Arne Henningsen
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'The use of seemingly unrelated regression (SUR) to predict the carcass composition of lambs'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Agriculture & Biology
carcass composition
100%
lambs
72%
subcutaneous fat
39%
bones
28%
carcass grading
25%
lean meat
21%
fat thickness
20%
ribs
17%
lipids
17%
carcass weight
17%
statistics
15%
breasts
15%
cooling
14%
breeds
12%
kidneys
11%
tissues
7%