Literature DB >> 32051523

Author Correction: Whole rumen metagenome sequencing allows classifying and predicting feed efficiency and intake levels in cattle.

Beatriz Delgado1, Alex Bach2,3, Isabel Guasch4, Carmen González5, Guillermo Elcoso4, Jennie E Pryce6, Oscar Gonzalez-Recio7,8.   

Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Entities:  

Year:  2020        PMID: 32051523      PMCID: PMC7016186          DOI: 10.1038/s41598-020-60003-8

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Correction to: Scientific Reports 10.1038/s41598-018-36673-w, published online 09 January 2019 This Article contains a typographical error in the Methods section under subheading ‘Metagenome ensemble’ where, “The annotation was performed with options –compliant –centre UoN –norrna –notrna –metagenome, and a bioproject was submitted to NCBI database with number PRJNA423102.” should read: “The annotation was performed with options –compliant –centre UoN –norrna –notrna –metagenome, and a bioproject was submitted to NCBI database with number PRJNA423103.”
  2 in total

1.  Genes Involved in Feed Efficiency Identified in a Meta-Analysis of Rumen Tissue from Two Populations of Beef Steers.

Authors:  Amanda K Lindholm-Perry; Allison M Meyer; Rebecca J Kern-Lunbery; Hannah C Cunningham-Hollinger; Taran H Funk; Brittney N Keel
Journal:  Animals (Basel)       Date:  2022-06-10       Impact factor: 3.231

2.  Sharing of either phenotypes or genetic variants can increase the accuracy of genomic prediction of feed efficiency.

Authors:  Sunduimijid Bolormaa; Iona M MacLeod; Majid Khansefid; Leah C Marett; William J Wales; Filippo Miglior; Christine F Baes; Flavio S Schenkel; Erin E Connor; Coralia I V Manzanilla-Pech; Paul Stothard; Emily Herman; Gert J Nieuwhof; Michael E Goddard; Jennie E Pryce
Journal:  Genet Sel Evol       Date:  2022-09-06       Impact factor: 5.100

  2 in total

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