scholarly journals Association of Calpain 1 (CAPN1) and HRSP12 allelic variants in beef cattle with carcass traits

2011 ◽  
Vol 10 (63) ◽  
pp. 13714-13718 ◽  
Author(s):  
Hou Guanyu ◽  
Huang Meng ◽  
Gao Xue ◽  
Li Junya ◽  
Gao Huijiang ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Carcass Traits ◽  
Allelic Variants

scholarly journals Genomic Prediction Using Alternative Strategies of Weighted Single-Step Genomic BLUP for Yearling Weight and Carcass Traits in Hanwoo Beef Cattle

Genes ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 266
Author(s):  
Hossein Mehrban ◽  
Masoumeh Naserkheil ◽  
Deuk Hwan Lee ◽  
Chungil Cho ◽  
Taejeong Choi ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Beef Cattle ◽  
Genomic Prediction ◽  
Quantitative Trait ◽  
Carcass Traits ◽  
Best Linear Unbiased Prediction ◽  
Single Step ◽  
Linear Unbiased Prediction ◽  
Single Nucleotide ◽  
Best Linear Unbiased

The weighted single-step genomic best linear unbiased prediction (GBLUP) method has been proposed to exploit information from genotyped and non-genotyped relatives, allowing the use of weights for single-nucleotide polymorphism in the construction of the genomic relationship matrix. The purpose of this study was to investigate the accuracy of genetic prediction using the following single-trait best linear unbiased prediction methods in Hanwoo beef cattle: pedigree-based (PBLUP), un-weighted (ssGBLUP), and weighted (WssGBLUP) single-step genomic methods. We also assessed the impact of alternative single and window weighting methods according to their effects on the traits of interest. The data was comprised of 15,796 phenotypic records for yearling weight (YW) and 5622 records for carcass traits (backfat thickness: BFT, carcass weight: CW, eye muscle area: EMA, and marbling score: MS). Also, the genotypic data included 6616 animals for YW and 5134 for carcass traits on the 43,950 single-nucleotide polymorphisms. The ssGBLUP showed significant improvement in genomic prediction accuracy for carcass traits (71%) and yearling weight (99%) compared to the pedigree-based method. The window weighting procedures performed better than single SNP weighting for CW (11%), EMA (11%), MS (3%), and YW (6%), whereas no gain in accuracy was observed for BFT. Besides, the improvement in accuracy between window WssGBLUP and the un-weighted method was low for BFT and MS, while for CW, EMA, and YW resulted in a gain of 22%, 15%, and 20%, respectively, which indicates the presence of relevant quantitative trait loci for these traits. These findings indicate that WssGBLUP is an appropriate method for traits with a large quantitative trait loci effect.

scholarly journals Genotype by environment interaction on growth and carcass traits in beef cattle in the tropics

2010 ◽  
Vol 1 (2) ◽  
pp. 372-373 ◽  
Author(s):  
Fabrizio Assenza ◽  
Alberto Menendez Buxadera ◽  
Jean-Luc Gourdine ◽  
Alain Farant ◽  
Bruno Bocage ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Carcass Traits ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Genotype By Environment ◽  
The Tropics

scholarly journals Investigation of the association of two candidate genes (H-FABP and PSMC1) with growth and carcass traits in Qinchuan beef cattle from China

2014 ◽  
Vol 13 (1) ◽  
pp. 1876-1884 ◽  
Author(s):  
W. Liang ◽  
H.L. Zhang ◽  
Y. Liu ◽  
B.C. Lu ◽  
X. Liu ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Candidate Genes ◽  
Carcass Traits

scholarly journals Prediction of ossification from live and carcass traits in young beef cattle: model development and evaluation1

2018 ◽  
Vol 97 (1) ◽  
pp. 144-155 ◽  
Author(s):  
Boyd W Gudex ◽  
Malcolm J McPhee ◽  
Victor H Oddy ◽  
Brad J Walmsley
Keyword(s):  
Beef Cattle ◽  
Carcass Traits ◽  
Model Development

scholarly journals Genetics of adaptive traits in heifers and their relationship to growth, pubertal and carcass traits in two tropical beef cattle genotypes

2009 ◽  
Vol 49 (6) ◽  
pp. 413 ◽  
Author(s):  
K. C. Prayaga ◽  
N. J. Corbet ◽  
D. J. Johnston ◽  
M. L. Wolcott ◽  
G. Fordyce ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Genetic Correlation ◽  
Genetic Association ◽  
Body Condition Score ◽  
Carcass Traits ◽  
Genetic Correlations ◽  
Coat Colour ◽  
Economic Traits ◽  
Adaptive Traits ◽  
Condition Score

Genetic analyses of tropical adaptive traits were conducted for two tropically adapted genotypes, Brahman (BRAH) and Tropical Composite (TCOMP). Traits included tick scores (TICK), faecal egg counts (EPG), buffalo fly-lesion scores (FLY), rectal temperatures under hot conditions (TEMP), coat scores (COAT), coat colour on a light to dark scale (COLOUR), navel scores (NAVEL) and temperament measured as flight time (FT). The data comprised adaptive measures recorded at specific times on 2071 heifers comprising 966 BRAH and 1105 TCOMP. The genetic correlations of these adaptive traits with heifer growth, scanned carcass, pubertal measures and steer growth and carcass traits were estimated. BRAH recorded significantly (P < 0.05) lower TICK, EPG, FLY and TEMP than did TCOMP. BRAH also had significantly sleeker coats, lighter coat colour, more pendulous navels and more docile temperament than did TCOMP. The heritability of TICK and FLY was low (<20%), that of EPG, TEMP, NAVEL and FT was moderate (20–50%) and that of COAT and COLOUR high (>50%). In general, phenotypic correlations between these adaptive traits were low and genetic correlations were non-significant, implying trait independence. Genetic correlations between EPG and weight traits (0.29 to 0.44) indicated a positive relationship, implying no deleterious effect of worms on the growth at a genetic level, especially in TCOMP. The negative genetic correlations between COAT and body-condition score across genotypes (–0.33 to –0.48) indicated genetic advantage of sleek coats in tropics. A positive genetic correlation between COAT and the age at the first-observed corpus luteum (0.73) in BRAH indicated that BRAH with sleeker coats were genetically early maturing. Further, sleeker coats were genetically indicative of lower weights and lower fat cover at puberty in BRAH. The scanned fat measures at rump and rib sites for feedlot steers showed strong genetic correlation (0.50–0.58) with heifer TEMP, indicating genetically fatter animals had genetically lower heat tolerance. In BRAH, a positive genetic association between heifer COLOUR and scanned fat measures in steers (0.50–0.54) implied increased fatness in genetically darker animals. Further, in BRAH, a strong negative genetic correlation (–0.97) was observed between steer retail beef yield and heifer TEMP, indicating a favourable genetic association. In general, genetic correlations between adaptive traits and other economic traits were genotype specific. Further, it can be concluded that selection for productive and pubertal traits in tropical beef cattle genotypes would not adversely affect their tropical adaptability.

scholarly journals Identifying novel genes for carcass traits by testing G × E interaction through genome-wide meta-analysis in Chinese Simmental beef cattle

2018 ◽  
Vol 212 ◽  
pp. 75-82 ◽  
Author(s):  
Xiaoqiao Wang ◽  
Jian Miao ◽  
Jiangwei Xia ◽  
Tianpeng Chang ◽  
Guangxin E ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Meta Analysis ◽  
Carcass Traits ◽  
Novel Genes ◽  
Genome Wide

scholarly journals Integrating Single-Step GWAS and Bipartite Networks Reconstruction Provides Novel Insights into Yearling Weight and Carcass Traits in Hanwoo Beef Cattle

Animals ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 1836
Author(s):  
Masoumeh Naserkheil ◽  
Abolfazl Bahrami ◽  
Deukhwan Lee ◽  
Hossein Mehrban
Keyword(s):  
Beef Cattle ◽  
Complex Traits ◽  
Genome Wide Association Study ◽  
Additive Genetic Variance ◽  
Carcass Traits ◽  
Single Step ◽  
Bipartite Networks ◽  
Muscle Area ◽  
Eye Muscle ◽  
Network Analyses

In recent years, studies on the biological mechanisms underlying complex traits have been facilitated by innovations in high-throughput genotyping technology. We conducted a weighted single-step genome-wide association study (WssGWAS) to evaluate backfat thickness, carcass weight, eye muscle area, marbling score, and yearling weight in a cohort of 1540 Hanwoo beef cattle using BovineSNP50 BeadChip. The WssGWAS uncovered thirty-three genomic regions that explained more than 1% of the additive genetic variance, mostly located on chromosomes 6 and 14. Among the identified window regions, seven quantitative trait loci (QTL) had pleiotropic effects and twenty-six QTL were trait-specific. Significant pathways implicated in the measured traits through Gene Ontology (GO) term enrichment analysis included the following: lipid biosynthetic process, regulation of lipid metabolic process, transport or localization of lipid, regulation of growth, developmental growth, and multicellular organism growth. Integration of GWAS results of the studied traits with pathway and network analyses facilitated the exploration of the respective candidate genes involved in several biological functions, particularly lipid and growth metabolism. This study provides novel insight into the genetic bases underlying complex traits and could be useful in developing breeding schemes aimed at improving growth and carcass traits in Hanwoo beef cattle.

Association of the muscle hypertrophy locus with carcass traits in beef cattle.

1998 ◽  
Vol 76 (2) ◽  
pp. 468 ◽  
Author(s):  
E Casas ◽  
J W Keele ◽  
S D Shackelford ◽  
M Koohmaraie ◽  
T S Sonstegard ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Muscle Hypertrophy ◽  
Carcass Traits

Influence of Sex and Sire upon Growth and Carcass Traits of Beef Cattle

1969 ◽  
Vol 28 (5) ◽  
pp. 607-611 ◽  
Author(s):  
L. L. Wilson ◽  
J. H. Ziegler ◽  
J. L. Watkins ◽  
C. E. Thompson ◽  
H. R. Purdy
Keyword(s):  
Beef Cattle ◽  
Carcass Traits
Sign in / Sign up

Export Citation Format

Share Document