Application of random forest methodology for genomic selection of disease traits in dairy cattle

Naderi Darbaghshahi, Saeid; Yin, T.; König, S.

Advanced Search

Application of random forest methodology for genomic selection of disease traits in dairy cattle

2014

Naderi Darbaghshahi, Saeid | Yin, T. | König, S.

English. peer reviewed

Show more [+]

English. The objective of the present study was the application of RF to binary disease traits recorded in a cow calibration group. Major tasks addressed the impact of the cow calibration group size, the frequency of diseased cows in the reference population, and the genomic architecture on accuracies of GEBV. Results from RF applications were compared with GBLUP methodology.

Show more [+]

AGROVOC Keywords

life sciences

Bibliographic information

Other Subjects

Animal production & animal husbandry; Sciences du vivant; Productions animales & zootechnie

Language

English

License

restricted access, http://purl.org/coar/access_right/c_16ec, info:eu-repo/semantics/restrictedAccess

Type

Conference Paper; Conference Part; Conference Paper; Conference Part; Conference Part; Journal Article; Journal Part

Source

DGfZ‐Jahrestagung und DGfZ/GfT‐Gemeinschaftstagung (2014-09-17); DGfZ-Jahrestagung und DGfZ-/GfT-Gemeinschaftstagung 2014, Dummerstorf, Germany [DE], 17-18 September 2014

In AGRIS since: 2025-06-17

Modification date: 2025-10-30

Format: Dublin Core

Data Provider

This bibliographic record has been provided by University of Liège

Discover this data provider's collection in AGRIS

Links

https://orbi.uliege.be/handle/2268/216757

Lookup at Google Scholar

If you notice any incorrect information relating to this record, please contact us at [email protected]

FAO AGRIS - International System for Agricultural Science and Technology

Share

Application of random forest methodology for genomic selection of disease traits in dairy cattle

2014

AGROVOC Keywords

Bibliographic information