Abstract
C. Couvert, L. Brossard, N. QUINIOU, M. Monziols, A. de La Torre
Abstract
Authors
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Provenance
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In vivo composition of carcass regions in lambs of two genetic lines, and selection of CT positions for estimation of each region
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NIH image to ImageJ: 25 years of image analysis
10.1038/nmeth.2089 · 2012
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Unresolved referenced work
Kept as external metadata until matched
In vivo estimation of goat carcass composition and body fat partition by real-time ultrasonography
10.2527/jas.2007-0367 · 2008
Unresolved referenced work
2009
Unresolved referenced work
Kept as external metadata until matched
In vivo estimation of goat carcass composition and body fat partition by real-time ultrasonography
10.2527/jas.2007-0367 · doi-reference
Non-invasive methods for the determination of body and carcass composition in livestock: dual-energy X-ray absorptiometry, computed tomography, magnetic resonance imaging and ultrasound: invited review
10.1017/s1751731115000336 · doi-reference
NIH image to ImageJ: 25 years of image analysis
10.1038/nmeth.2089 · doi-reference
Review: towards the agroecological management of ruminants, pigs and poultry through the development of sustainable breeding programmes. II. Breeding strategies
10.1017/s1751731116001051 · doi-reference
An automated method to quantify the composition of live pigs based on computed tomography segmentation using deep neural networks
10.1016/j.compag.2021.105987 · doi-reference
Prediction of pork carcass composition based on cross-sectional region analysis of dual X-ray absorptiometry (DXA) scans
10.1016/s0309-1740(02)00081-5 · doi-reference
Prediction of the in vivo body composition of pigs based on cross-sectional region analysis of dual-energy X-ray absorptiometry (DXA) scans
10.5194/aab-45-535-2002 · doi-reference
Estimation of dairy goat body composition: a direct calibration and comparison of eight methods
10.1016/j.ymeth.2020.06.014 · doi-reference
MorphoLibJ: integrated library and plugins for mathematical morphology with ImageJ
10.1093/bioinformatics/btw413 · doi-reference
The use of various live animal measurements to predict carcass and meat quality in two divergent lamb breeds
10.1016/j.meatsci.2008.05.026 · doi-reference
Prediction of carcass traits in fattening Chios and Serres lambs using real-time ultrasonography and live body weight measurements pre-slaughter
10.1016/j.meatsci.2023.109396 · doi-reference
In vivo composition of carcass regions in lambs of two genetic lines, and selection of CT positions for estimation of each region
10.1016/j.smallrumres.2005.09.014 · doi-reference
Building predictive models in R using the caret package
10.18637/jss.v028.i05 · doi-reference
Use of magnetic resonance imaging to predict the body composition of pigs in vivo
10.1017/s1751731112002340 · doi-reference
Review: deciphering animal robustness: a synthesis to facilitate its use in livestock breeding and management
10.1017/s175173111700088x · doi-reference
Use of linear regression and partial least square regression to predict intramuscular fat of pig loin computed tomography images
10.1016/j.chemolab.2013.01.005 · doi-reference
Feeding palm oil fatty acids or rapeseed oil throughout lactation: effects on energy status, body composition, and milk production in Norwegian dairy goats
10.3168/jds.2017-12768 · doi-reference
Predicting fat, lean and the weights of primal cuts for growing pigs of different genotypes and sexes using computed tomography
10.2527/jas.2014-8697 · doi-reference
The number of ribs and vertebrae in a Pietrain cross: variation, heritability and effects on performance traits
10.1111/j.1439-0388.2004.00482.x · doi-reference