Paper published in a book (Scientific congresses and symposiums)
Application of random forest methodology for genomic selection of disease traits in dairy cattle
Naderi Darbaghshahi, Saeid; Yin, T.; König, S.
2014In DGfZ‐Jahrestagung und DGfZ/GfT‐Gemeinschaftstagung
Peer reviewed
 

Files


Full Text
Application of random forest methodology for genomic selection of disease.pdf
Publisher postprint (95.83 kB)
Request a copy

All documents in ORBi are protected by a user license.

Send to



Details



Abstract :
[en] 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.
Disciplines :
Animal production & animal husbandry
Author, co-author :
Naderi Darbaghshahi, Saeid ;  Université de Liège - ULiège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Ingénierie des productions animales et nutrition
Yin, T.
König, S.
Language :
English
Title :
Application of random forest methodology for genomic selection of disease traits in dairy cattle
Publication date :
17 September 2014
Event name :
DGfZ-Jahrestagung und DGfZ-/GfT-Gemeinschaftstagung 2014
Event organizer :
DGfZ and GfT
Event place :
Dummerstorf, Germany
Event date :
17-18 September 2014
Audience :
International
Main work title :
DGfZ‐Jahrestagung und DGfZ/GfT‐Gemeinschaftstagung
Peer reviewed :
Peer reviewed
Available on ORBi :
since 07 December 2017

Statistics


Number of views
78 (3 by ULiège)
Number of downloads
0 (0 by ULiège)

Bibliography


Similar publications



Contact ORBi