Results 21 to 30 of about 3,615,920 (310)

Predicting expected progeny difference for marbling score in Angus cattle using artificial neural networks and Bayesian regression models [PDF]

open access: goldGenetics Selection Evolution, 2013
Artificial neural networks (ANN) mimic the function of the human brain and are capable of performing massively parallel computations for data processing and knowledge representation.
Hayrettin Okut   +7 more
openalex   +2 more sources

Impacts of Chilling Duration on Marbling Score, Shrinkage, and Lean Color in Beef Carcasses

open access: goldMeat and Muscle Biology, 2019
ObjectivesThis study was aimed to determine the effects of chilling duration on marbling score, shrinkage, and lean color of beef carcasses.Materials and MethodsTen beef carcasses of USDA Choice to Prime were selected at a commercial beef processing facility, randomly ribbed on either left or right side at 24 h, and evaluated repeatedly by a USDA ...
Caitlyn Haines   +4 more
  +4 more sources

Meat Quality Differences Between Ganan Tibetan Sheep and Tianzhu Tibetan Sheep Using Metabolomics and Rumen Microbiota Analyses [PDF]

open access: yesMicroorganisms
The objective of this study was to investigate the relationships between ruminal microbial communities and carcass traits associated with adipose accumulation in two Tibetan sheep breeds—Gannan and Tianzhu.
Yayuan Yang   +8 more
doaj   +2 more sources

The marbling score assessed with Meat Standards Australia is heritable in Charolais cattle

open access: goldItalian Journal of Animal Science
Marbling or visible intramuscular fat is a crucial indicator of beef eating quality. This study investigated the heritability of marbling score (MS), as defined by the Meat Standards Australia (MSA) grading scheme, in Charolais cattle, laying the groundwork for future breeding programs for improving this trait.
Matteo Santinello   +6 more
openalex   +4 more sources

Live animal predictions of carcass components and marble score in beef cattle: model development and evaluation

open access: hybridAnimal, 2020
Until recently, beef carcass payment grids were predominantly based on weight and fatness categories with some adjustment for age, defined as number of adult teeth, to determine the price received by Australian beef producers for slaughter cattle. With the introduction of the Meat Standards Australia (MSA) grading system, the beef industry has moved ...
M. J. McPhee   +4 more
openalex   +4 more sources

Effect of Marbling Score on Carcass Grade Factors, Physico-chemical and Sensory Traits of M. Longissimus Dorsi in Hanwoo [PDF]

open access: bronze, 2012
Jong-Moon Lee   +8 more
openalex   +2 more sources

Across countries NIRS technology to predict MSA marbling score

open access: yesBook of Abstracts of the 73rd Annual Meeting of the European Federation of Animal Science, 2022
This study aimed to investigate the ability of an on-line handheld near-infrared (NIR) spectrometer to predict the Meat Standards Australia (MSA) marbling score for Italian and French beef cattle. 
Goi, A.   +5 more
openaire   +1 more source

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