Results 71 to 80 of about 1,535,897 (172)

Marbling score, cholesterol, and physical-chemical content of male Bali beef fed fermented pineapple peel. [PDF]

open access: yesJ Adv Vet Anim Res, 2022
Bulkaini B   +5 more
europepmc   +1 more source

Identification and analysis of phospholipid transfer protein polymorphisms and their association with marbling score in Hanwoo (Korean cattle)

open access: yesGenetics and Molecular Research, 2013
Phospholipid transfer protein (PLTP) regulates high-density lipoprotein metabolism. The gene encoding PLTP is located on bovine chromosome 13. The objective of this study was to identify single nucleotide polymorphisms (SNPs) in the Hanwoo (Bos taurus coreanae) PLTP gene to detect novel mutations affecting economically important traits.
J, Seong   +4 more
openaire   +2 more sources

Prediction of beef marblingusing Hyperspectral Imaging (HSI) and Partial Least Squares Regression (PLSR)

open access: yesScientia Agropecuaria, 2017
The aim of this study was to build a model to predict the beef marbling using HSI and Partial Least Squares Regression (PLSR). Totally 58 samples of longissmus dorsi muscle were scanned by a HSI system (400 - 1000 nm) in reflectance mode,
Victor Aredo   +2 more
doaj   +2 more sources

Computer Vision System as a Tool to Estimate Pork Marbling [PDF]

open access: yes, 2017
Currently pork marbling is assessed subjectively in the industry, because of the limited methods and tools that are suitable for the industry. In this dissertation, we are devoted to develop a computer vision system for objective measurement of pork ...
Liu, Jeng-Hung
core  

Probability of beef tenderness in confined cows - a meta-analytic approach

open access: yesSemina: Ciências Agrárias, 2019
This study aimed to assess the probability of meat tenderness in confined cows. For this purpose, CAPES and SciELO platforms were searched for papers under this subject published in Brazil between 2000 and 2015.
Rangel Fernandes Pacheco   +7 more
doaj   +1 more source

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

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   +1 more source

RETURNS TO SORTING AND MARKET TIMING OF ANIMALS WITHIN PENS OF FED CATTLE [PDF]

open access: yes
This research examines returns to cattle feeding operations that sort animals prior to marketing using ultrasound technology. The returns to sorting are between $11 and $25 per head depending on the number of groups the pens into which cattle can be ...
Koontz, Stephen R.   +3 more
core  

Estimation of genetic parameters for beef marbling score and marbling on top round of Japanese Black [PDF]

open access: yes, 2011
Japanese Black cattle are the predominant beef breed in Japan. This breed has excellent meat quality, especially degree of (intramuscular) marbling. Degree of marbling was measured at the 6th to 7th rib section and according to the Beef Marbling Standard
Ibi, Takayuki
core  

Use of Expected Progeny Differences for Marbling in Beef: II. Carcass and Palatability Traits [PDF]

open access: yes, 1996
A 2-yr study was conducted to determine the effect of EPD for marbling on marbling score, palatability traits, and carcass fatness in beef. Steer (n = 122) and heifer (n = 123) carcasses were obtained by mating Angus bulls having a high (\u3e.4) or low (\
Gwartney, B. L.   +5 more
core  

Identification of Candidate Genes related to Bovine Marbling using Protein-Protein Interaction Networks

open access: yesInternational Journal of Biological Sciences, 2011
Complex traits are determined by the combined effects of many loci and are affected by gene networks or biological pathways. Systems biology approaches have an important role in the identification of candidate genes related to complex diseases or traits ...
Dajeong Lim, Nam-Kuk Kim, Hye-Sun Park, Seung-Hwan Lee, Yong-Min Cho, Sung Jong Oh, Tae-Hun Kim, Heebal Kim
doaj  

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