Camellia oil supplementation specifically enhances marbling scores via PI3K/Akt pathway while optimizing n-6/n-3 fatty acid ratios: A dual-benefit strategy for premium functional beef production [PDF]
Food Chemistry: XThis study investigated the effects of 4% camellia oil supplementation during the late fattening phase of Angus beef cattle on marbling score and fatty acid profiles. Camellia oil supplementation significantly increased marbling score (P
Jin Ge Zhang +7 more
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Novel SNP in the coding region of the FTO gene is associated with marbling score in Hanwoo (Korean cattle). [PDF]
J Anim Sci Technol, 2014 The fat mass and obesity associated (FTO) gene plays an important role in the regulation of energy homeostasis, fat deposition and obesity. For this reason, the FTO gene is a physiological and functional candidate gene for carcass and meat quality traits in beef cattle.
Chung ER.
europepmc +4 more sources
Estimation of Marbling Score in Live Beef Cattle Using Bayesian Network
SICE Journal of Control, Measurement, and System Integration, 2017 To estimate more accurately the beef marbling score (BMS) of live beef cattle, the Bayesian network model (BNM) could be used in parallel with other developed methods, such as ultrasound (US) image analysis with a neural network (NN), biological ...
Osamu Fukuda +2 more
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Meat Quality Differences Between Ganan Tibetan Sheep and Tianzhu Tibetan Sheep Using Metabolomics and Rumen Microbiota Analyses [PDF]
MicroorganismsThe 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
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Association between visual marbling score and chemical intramuscular fat with camera marbling percentage in Australian beef carcasses [PDF]
Meat Science, 2021 This study assessed the precision and accuracy in the prediction of chemical intramuscular fat (IMF%), Meat Standards Australia (MSA) marbling score and AUS-MEAT eye-muscle area (EMA) using Meat Imaging Japan (MIJ) prototype camera systems. Eleven carcass datasets from the Beef Information Nucleus (BIN) project were compiled with carcass grading, IMF ...
Stewart, S.M. +5 more
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Across countries NIRS technology to predict MSA marbling score
Book 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
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Gene Co-expression Analysis to Characterize Genes Related to Marbling Trait in Hanwoo (Korean) Cattle [PDF]
Asian-Australasian Journal of Animal Sciences, 2013 Marbling (intramuscular fat) is an important trait that affects meat quality and is a casual factor determining the price of beef in the Korean beef market. It is a complex trait and has many biological pathways related to muscle and fat. There is a need
Dajeong Lim +6 more
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A single nucleotide polymorphism in CAPN1 associated with marbling score in Korean cattle [PDF]
BMC Genetics, 2008 Abstract Background Marbling score (MS) is the major quantitative trait that affects carcass quality in beef cattle. In this study, we examined the association between genetic polymorphisms of the micromolar calcium-activated neutral protease gene (micro-calpain, CAPN1) and carcass traits in Korean cattle (also known ...
Kim Ji +10 more
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Sensors, 2023 Marbling characteristics are important traits for the genetic improvement of pork quality. Accurate marbling segmentation is the prerequisite for the quantification of these traits.
Shufeng Zhang +4 more
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Effects of gender of dairy or beef cattle and the number of pair of permanent incisors on carcass traits [PDF]
MATEC Web of Conferences, 2018 Effects of group of cattle (gender of dairy or beef cattle) and number of pair of permanent incisors (0-4 pairs) on carcass traits were investigated. Data collected from 2,059 carcasses were obtained from beef cattle cooperative in 2016.
Tuntivisoottikul Kunya +1 more
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