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Recent progress in genomic prediction for Hanwoo cattle and its implications for beef quality: review. [PDF]

Anim Biosci
Mou MA, Haque MA, Kim JJ.
europepmc   +1 more source

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Application of ensemble learning to genomic selection in chinese simmental beef cattle

Journal of Animal Breeding and Genetics, 2020
AbstractGenomic selection (GS) using the whole‐genome molecular makers to predict genomic estimated breeding values (GEBVs) is revolutionizing the livestock and plant breeding. Seeking out novel strategies with higher prediction accuracy for GS has been the ultimate goal of breeders.
Mang Liang, Jian Miao, Xiaoqiao Wang, Tianpeng Chang, Bingxing An, Xinghai Duan, Lingyang Xu, Xue Gao, Lupei Zhang, Junya Li, Huijiang Gao   +10 more
openaire   +2 more sources

Identifying Novel Genes for Carcass Traits by Testing G × E Interaction Through Genome-Wide Meta-Analysis in Chinese Simmental Beef Cattle

Livestock Science, 2018
Abstract Over the past decade, genome-wide association studies (GWASs) have successfully identified hundreds of genetic variants associated with economically important production traits in beef cattle. Environmental factors, such as farm, year, and season, have been included in GWASs to represent systematic effects that can mask environmentally ...
Guang-Xin E, Lupei Zhang, Huijiang Gao
exaly   +3 more sources

Estimation of Linkage Disequilibrium Levels and Haplotype Block Structure in Chinese Simmental and Wagyu Beef Cattle Using High-Density Genotypes

Livestock Science, 2016
Abstract With the advance of high-throughput genotyping technologies, it is possible to estimate the pattern of linkage disequilibrium (LD) and haplotype block structure at genome wide level in farm animals. Understanding LD characteristics and haplotype blocks can provide useful information to guide genome wide association study (GWAS) and genomic ...
Bo Zhu, Lupei Zhang, Huijiang Gao
exaly   +2 more sources

A genome‐wide association study suggests several novel candidate genes for carcass traits in Chinese Simmental beef cattle

Animal Genetics, 2018
SummaryA genome‐wide association study (GWAS) was conducted for two carcass traits in Chinese Simmental beef cattle. The experimental population consisted of 1301 individuals genotyped with the Illumina BovineHD SNP BeadChip (770K). After quality control, 671 990 SNPs and 1217 individuals were retained for the GWAS.
T, Chang, J, Xia, L, Xu, X, Wang, B, Zhu, L, Zhang, X, Gao, Y, Chen, J, Li, H, Gao   +9 more
openaire   +2 more sources

Detection of candidate genes for growth and carcass traits using genome-wide association strategy in Chinese Simmental beef cattle

Animal Production Science, 2016
In Chinese beef cattle industry, there are more than 60 million livestock, nearly half of which are Chinese Simmental beef cattle or Simmental crossbreds. Over the past decades, numerous quantitative trait loci for economic traits in cattle have been identified, while few studies for growth and carcass traits have been reported in Simmental beef cattle.
Zhang, Wengang, Xu, Lingyang, Gao, Huijiang, Wu, Yang, Gao, Xue, Zhang, Lupei, Zhu, Bo, Song, Yuxin, Bao, Jinshan, Li, Junya, Chen, Yan   +10 more
openaire   +4 more sources

Multi-Omic Analysis of the Differences in Growth and Metabolic Mechanisms Between Chinese Domestic Cattle and Simmental Crossbred Cattle

International Journal of Molecular Sciences
In livestock production, deeply understanding the molecular mechanisms of growth and metabolic differences in different breeds of cattle is of great significance for optimizing breeding strategies, improving meat quality, and promoting sustainable ...
Xian-Bo Jia, Wenqiang Sun, Songjia Lai
exaly   +2 more sources

Identification of Candidate Genes Regulating Carcass Depth and Hind Leg Circumference in Simmental Beef Cattle Using Illumina Bovine Beadchip and Next-Generation Sequencing Analyses

Animals, 2022
Lupei Zhang, Mohammadreza Mohammadabadi, Farhad Bordbar   +2 more
exaly  

Ukrainian Simmental Beef CATTlE Breed: Creation Idea and Analysis of Formation

Animal Breeding and Genetics, 2022
L O Dedova, P P Dzhus
exaly