scholarly journals Association analysis of PRKAG3 gene variants with carcass and meat quality traits in beef cattle

2012 ◽  
Vol 11 (8) ◽  
pp. 1855-1861 ◽  
Author(s):  
Li Wu Feng ◽  
Li Jun Ya ◽  
Gao Xue ◽  
Xu Shang Zhong ◽  
Yue Wen Bin
Keyword(s):  
Beef Cattle ◽  
Meat Quality ◽  
Association Analysis ◽  
Gene Variants ◽  
Quality Traits ◽  
Meat Quality Traits

Association analysis of thyroglobulin gene variants with carcass and meat quality traits in beef cattle

2008 ◽  
Vol 49 (3) ◽  
pp. 251-255 ◽  
Author(s):  
Qian-Fu Gan ◽  
Lu-Pei Zhang ◽  
Jun-Ya Li ◽  
Guan-Yu Hou ◽  
Heng-De Li ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Meat Quality ◽  
Association Analysis ◽  
Gene Variants ◽  
Quality Traits ◽  
Meat Quality Traits ◽  
Thyroglobulin Gene

Association of thyroglobulin gene variants with carcass and meat quality traits in beef cattle

2010 ◽  
Vol 38 (7) ◽  
pp. 4705-4708 ◽  
Author(s):  
Guan-Yu Hou ◽  
Zheng-Rong Yuan ◽  
Han-Lin Zhou ◽  
Lu-Pei Zhang ◽  
Jun-Ya Li ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Meat Quality ◽  
Gene Variants ◽  
Quality Traits ◽  
Meat Quality Traits ◽  
Thyroglobulin Gene

Association analysis between CMYA5 gene and meat quality traits in Hunan black pig

2013 ◽  
Vol 38 (1) ◽  
pp. 64-68
Author(s):  
Ji ZHU ◽  
Jian LIU ◽  
Jian-bang SUN ◽  
Shi-liu YANG ◽  
Jing-ru LI ◽  
...  
Keyword(s):  
Meat Quality ◽  
Association Analysis ◽  
Quality Traits ◽  
Meat Quality Traits ◽  
I Gene

scholarly journals 250 Genome wide Association analyses for meat quality traits in multibreed and crossbred beef cattle.

2018 ◽  
Vol 96 (suppl_3) ◽  
pp. 84-84
Author(s):  
M Abo-Ismail ◽  
J Crowley ◽  
E Akanno ◽  
C Li ◽  
P Stothard ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Meat Quality ◽  
Genome Wide Association ◽  
Quality Traits ◽  
Association Analyses ◽  
Meat Quality Traits ◽  
Genome Wide

Imprinting analysis of porcine DIO3 gene in two fetal stages and association analysis with carcass and meat quality traits

2011 ◽  
Vol 39 (3) ◽  
pp. 2329-2335 ◽  
Author(s):  
Mu Qiao ◽  
Hua-Yu Wu ◽  
Ling Guo ◽  
Shu-Qi Mei ◽  
Peng-Peng Zhang ◽  
...  
Keyword(s):  
Meat Quality ◽  
Association Analysis ◽  
Quality Traits ◽  
Meat Quality Traits

scholarly journals Genomic Approaches Reveal Pleiotropic Effects in Crossbred Beef Cattle

2021 ◽  
Vol 12 ◽  
Author(s):  
Fernanda M. Rezende ◽  
Eduardo Rodriguez ◽  
Joel D. Leal-Gutiérrez ◽  
Mauricio A. Elzo ◽  
Dwain D. Johnson ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Genomic Selection ◽  
Meat Quality ◽  
Additive Genetic Variance ◽  
Cytoskeletal Proteins ◽  
Pleiotropic Effects ◽  
Genome Wide Association Studies ◽  
Quality Traits ◽  
Meat Quality Traits ◽  
Genomic Regions

Carcass and meat quality are two important attributes for the beef industry because they drive profitability and consumer demand. These traits are of even greater importance in crossbred cattle used in subtropical and tropical regions for their superior adaptability because they tend to underperform compared to their purebred counterparts. Many of these traits are challenging and expensive to measure and unavailable until late in life or after the animal is harvested, hence unrealistic to improve through traditional phenotypic selection, but perfect candidates for genomic selection. Before genomic selection can be implemented in crossbred populations, it is important to explore if pleiotropic effects exist between carcass and meat quality traits. Therefore, the objective of this study was to identify genomic regions with pleiotropic effects on carcass and meat quality traits in a multibreed Angus–Brahman population that included purebred and crossbred animals. Data included phenotypes for 10 carcass and meat quality traits from 2,384 steers, of which 1,038 were genotyped with the GGP Bovine F-250. Single-trait genome-wide association studies were first used to investigate the relevance of direct additive genetic effects on each carcass, sensory and visual meat quality traits. A second analysis for each trait included all other phenotypes as covariates to correct for direct causal effects from identified genomic regions with pure direct effects on the trait under analysis. Five genomic windows on chromosomes BTA5, BTA7, BTA18, and BTA29 explained more than 1% of additive genetic variance of two or more traits. Moreover, three suggestive pleiotropic regions were identified on BTA10 and BTA19. The 317 genes uncovered in pleiotropic regions included anchoring and cytoskeletal proteins, key players in cell growth, muscle development, lipid metabolism and fat deposition, and important factors in muscle proteolysis. A functional analysis of these genes revealed GO terms directly related to carcass quality, meat quality, and tenderness in beef cattle, including calcium-related processes, cell signaling, and modulation of cell–cell adhesion. These results contribute with novel information about the complex genetic architecture and pleiotropic effects of carcass and meat quality traits in crossbred beef cattle.

scholarly journals Genetic variability of meat quality traits in Chianina beef cattle

2004 ◽  
Vol 3 (2) ◽  
pp. 191-198 ◽  
Author(s):  
Francesca Cecchi ◽  
Claudia Russo ◽  
Giovanna Preziuso ◽  
Dario Cianci
Keyword(s):  
Genetic Variability ◽  
Beef Cattle ◽  
Meat Quality ◽  
Quality Traits ◽  
Meat Quality Traits
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