Applying different genomic evaluation approaches on QTLMAS2010 dataset

Javad Nadaf; Ricardo Pong-Wong

doi:10.1186/1753-6561-5-S3-S9

Applying different genomic evaluation approaches on QTLMAS2010 dataset

Javad Nadaf, Ricardo Pong-Wong

Royal (Dick) School of Veterinary Studies

Research output: Contribution to journal › Article › peer-review

Abstract

With the availability of high throughput genotyping, genomic selection, the evaluation of animals based on dense SNP genotyping, is receiving more and more attention. Several statistical methods have been suggested for genomic selection. Compared to traditional selection, genomic selection can be more accurate which can lead to higher efficiency in terms of time and cost. Herein we applied different genomic evaluation methods on the 14th QTLMAS dataset.

Original language	English
Pages (from-to)	S9
Journal	BMC Proceedings
Volume	5 Suppl 3
DOIs	https://doi.org/10.1186/1753-6561-5-S3-S9
Publication status	Published - 2011

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10.1186/1753-6561-5-S3-S9

Applying different genomic evaluation approaches on QTLMAS2010 dataset
Copyright ©2011 Nadaf and Pong-Wong; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Final published version, 1.14 MBLicence: Creative Commons: Attribution (CC-BY)

http://www.biomedcentral.com/1753-6561/5/S3/S9

Cite this

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title = "Applying different genomic evaluation approaches on QTLMAS2010 dataset",

abstract = "With the availability of high throughput genotyping, genomic selection, the evaluation of animals based on dense SNP genotyping, is receiving more and more attention. Several statistical methods have been suggested for genomic selection. Compared to traditional selection, genomic selection can be more accurate which can lead to higher efficiency in terms of time and cost. Herein we applied different genomic evaluation methods on the 14th QTLMAS dataset.",

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AB - With the availability of high throughput genotyping, genomic selection, the evaluation of animals based on dense SNP genotyping, is receiving more and more attention. Several statistical methods have been suggested for genomic selection. Compared to traditional selection, genomic selection can be more accurate which can lead to higher efficiency in terms of time and cost. Herein we applied different genomic evaluation methods on the 14th QTLMAS dataset.

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DO - 10.1186/1753-6561-5-S3-S9

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JO - BMC Proceedings

JF - BMC Proceedings

SN - 1753-6561

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Applying different genomic evaluation approaches on QTLMAS2010 dataset

Abstract

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