Data from: The impact of variable degrees of freedom and scale parameters in Bayesian methods for genomic prediction in Chinese Simmental beef cattle

Zhu B, Zhu M, Jiang J, Niu H, Wang Y, Wu Y, Xu L, Chen Y, Zhang L, Gao X, Gao H, Liu J, Li J

Date Published: May 4, 2016

DOI: http://dx.doi.org/10.5061/dryad.4qc06

 

Files in this package

Content in the Dryad Digital Repository is offered "as is." By downloading files, you agree to the Dryad Terms of Service. To the extent possible under law, the authors have waived all copyright and related or neighboring rights to this data. CC0 (opens a new window) Open Data (opens a new window)

Title data
Downloaded 45 times
Description The resource populations were established in Ulgai, Xilingole League, Inner Mongolia of China. All the young Simmental beef cattle were born between 2008 and 2013. After weaning, Simmental cattle were moved to Beijing Jinweifuren cattle farm for fattening and put under the same feeding and management conditions. Each animal was measured for growth and developmental traits on time until its slaughter when they were 18 to 24 months of age. Live weight was measured after 24 hours of fasting. During the period of slaughter, carcass traits and meat quality traits were measured according to the Institutional Meat Purchase Specification for fresh beef guidelines.
Download data.zip (82.68 Mb)
Download README.txt (292 bytes)
Details View File Details

When using this data, please cite the original publication:

Zhu B, Zhu M, Jiang J, Niu H, Wang Y, Wu Y, Xu L, Chen Y, Zhang L, Gao X, Gao H, Liu J, Li J (2016) The impact of variable degrees of freedom and scale parameters in Bayesian methods for genomic prediction in Chinese Simmental beef cattle. PLOS ONE 11(5): e0154118. http://dx.doi.org/10.1371/journal.pone.0154118

Additionally, please cite the Dryad data package:

Zhu B, Zhu M, Jiang J, Niu H, Wang Y, Wu Y, Xu L, Chen Y, Zhang L, Gao X, Gao H, Liu J, Li J (2016) Data from: The impact of variable degrees of freedom and scale parameters in Bayesian methods for genomic prediction in Chinese Simmental beef cattle. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.4qc06
Cite | Share
Download the data package citation in the following formats:
   RIS (compatible with EndNote, Reference Manager, ProCite, RefWorks)
   BibTex (compatible with BibDesk, LaTeX)

Search for data

Be part of Dryad

We encourage organizations to: