↓ Skip to main content

Identification of genomic regions associated with feed efficiency in Nelore cattle

Overview of attention for article published in BMC Genomic Data, September 2014
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
70 Dimensions

Readers on

mendeley
121 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Identification of genomic regions associated with feed efficiency in Nelore cattle
Published in
BMC Genomic Data, September 2014
DOI 10.1186/s12863-014-0100-0
Pubmed ID
Authors

Priscila SN de Oliveira, Aline SM Cesar, Michele L do Nascimento, Amália S Chaves, Polyana C Tizioto, Rymer R Tullio, Dante PD Lanna, Antonio N Rosa, Tad S Sonstegard, Gerson B Mourao, James M Reecy, Dorian J Garrick, Maurício A Mudadu, Luiz L Coutinho, Luciana CA Regitano

Abstract

Feed efficiency is jointly determined by productivity and feed requirements, both of which are economically relevant traits in beef cattle production systems. The objective of this study was to identify genes/QTLs associated with components of feed efficiency in Nelore cattle using Illumina BovineHD BeadChip (770 k SNP) genotypes from 593 Nelore steers. The traits analyzed included: average daily gain (ADG), dry matter intake (DMI), feed-conversion ratio (FCR), feed efficiency (FE), residual feed intake (RFI), maintenance efficiency (ME), efficiency of gain (EG), partial efficiency of growth (PEG) and relative growth rate (RGR). The Bayes B analysis was completed with Gensel software parameterized to fit fewer markers than animals. Genomic windows containing all the SNP loci in each 1 Mb that accounted for more than 1.0% of genetic variance were considered as QTL region. Candidate genes within windows that explained more than 1% of genetic variance were selected by putative function based on DAVID and Gene Ontology.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
India 1 <1%
United States 1 <1%
Canada 1 <1%
Unknown 117 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 21%
Student > Ph. D. Student 24 20%
Student > Bachelor 12 10%
Researcher 9 7%
Student > Doctoral Student 9 7%
Other 23 19%
Unknown 19 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 49%
Veterinary Science and Veterinary Medicine 9 7%
Biochemistry, Genetics and Molecular Biology 9 7%
Medicine and Dentistry 4 3%
Computer Science 2 2%
Other 7 6%
Unknown 31 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 September 2014.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from BMC Genomic Data
#1,008
of 1,204 outputs
Outputs of similar age
#225,249
of 263,348 outputs
Outputs of similar age from BMC Genomic Data
#19
of 26 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 263,348 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.