Results 1 to 10 of about 706 (128)

Validation of the Prediction Accuracy for 13 Traits in Chinese Simmental Beef Cattle Using a Preselected Low-Density SNP Panel [PDF]

open access: yesAnimals, 2021
Chinese Simmental beef cattle play a key role in the Chinese beef industry due to their great adaptability and marketability. To achieve efficient genetic gain at a low breeding cost, it is crucial to develop a customized cost-effective low-density SNP ...
Ling Xu   +12 more
doaj   +9 more sources

Genome-Wide Association Analysis of Growth Curve Parameters in Chinese Simmental Beef Cattle [PDF]

open access: yesAnimals, 2021
The objective of the present study was to perform a genome-wide association study (GWAS) for growth curve parameters using nonlinear models that fit original weight–age records. In this study, data from 808 Chinese Simmental beef cattle that were weighed
Xinghai Duan   +10 more
doaj   +9 more sources

Genomic Prediction Using LD-Based Haplotypes Inferred From High-Density Chip and Imputed Sequence Variants in Chinese Simmental Beef Cattle [PDF]

open access: yesFrontiers in Genetics, 2021
A haplotype is defined as a combination of alleles at adjacent loci belonging to the same chromosome that can be transmitted as a unit. In this study, we used both the Illumina BovineHD chip (HD chip) and imputed whole-genome sequence (WGS) data to ...
Hongwei Li   +17 more
doaj   +9 more sources

Genome-Wide Association Study Based on Random Regression Model Reveals Candidate Genes Associated with Longitudinal Data in Chinese Simmental Beef Cattle [PDF]

open access: yesAnimals, 2021
Body weight (BW) is an important longitudinal trait that directly described the growth gain of bovine in production. However, previous genome-wide association study (GWAS) mainly focused on the single-record traits, with less attention paid to ...
Lili Du   +9 more
doaj   +9 more sources

The Impact of Variable Degrees of Freedom and Scale Parameters in Bayesian Methods for Genomic Prediction in Chinese Simmental Beef Cattle. [PDF]

open access: yesPLoS ONE, 2016
Three conventional Bayesian approaches (BayesA, BayesB and BayesCπ) have been demonstrated to be powerful in predicting genomic merit for complex traits in livestock.
Bo Zhu   +12 more
doaj   +12 more sources

Evaluation of GBLUP, BayesB and elastic net for genomic prediction in Chinese Simmental beef cattle. [PDF]

open access: yesPLoS ONE, 2019
Chinese Simmental beef cattle are the most economically important cattle breed in China. Estimated breeding values for growth, carcass, and meat quality traits are commonly used as selection criteria in animal breeding. The objective of this study was to
Xiaoqiao Wang   +10 more
doaj   +8 more sources

Weighted Single-Step Genome-Wide Association Study for Growth Traits in Chinese Simmental Beef Cattle [PDF]

open access: yesGenes, 2020
Improving the genetic process of growth traits is one of the major goals in the beef cattle industry, as it can increase meat production and reduce the cost of raising animals. Although several quantitative trait loci affecting growth traits in beef cattle have been identified, the genetic architecture of these economically important traits remains ...
Zhanwei Zhuang, Lupei Zhang
exaly   +7 more sources

Incorporating Genome Annotation Into Genomic Prediction for Carcass Traits in Chinese Simmental Beef Cattle [PDF]

open access: yesFrontiers in Genetics, 2020
Various methods have been proposed for genomic prediction (GP) in livestock. These methods have mainly focused on statistical considerations and did not include genome annotation information.
Ling Xu   +14 more
doaj   +7 more sources

Runs of homozygosity analysis reveals consensus homozygous regions affecting production traits in Chinese Simmental beef cattle [PDF]

open access: yesBMC Genomics, 2021
Background Genomic regions with a high frequency of runs of homozygosity (ROH) are related to important traits in farm animals. We carried out a comprehensive analysis of ROH and evaluated their association with production traits using the BovineHD (770 ...
Guoyao Zhao   +12 more
doaj   +5 more sources

Transcriptome profiling analysis of muscle tissue reveals potential candidate genes affecting water holding capacity in Chinese Simmental beef cattle [PDF]

open access: yesScientific Reports, 2021
Water holding capacity (WHC) is an important sensory attribute that greatly influences meat quality. However, the molecular mechanism that regulates the beef WHC remains to be elucidated.
Lili Du   +12 more
doaj   +6 more sources

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