Article (Scientific journals)
Unified method to integrate and blend several, potentially related, sources of information for genetic evaluation
Vandenplas, Jérémie; Colinet, Frédéric; Gengler, Nicolas
2014In Genetics, Selection, Evolution, 46, p. 59
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Abstract :
[en] Background A condition to predict unbiased estimated breeding values by best linear unbiased prediction is to use simultaneously all available data. However, this condition is not often fully met. For example, in dairy cattle, internal (i.e. local) populations lead to evaluations based only on internal records while widely used foreign sires have been selected using internally unavailable external records. In such cases, internal genetic evaluations may be less accurate and biased. Because external records are unavailable, methods were developed to combine external information that summarizes these records, i.e. external estimated breeding values and associated reliabilities, with internal records to improve accuracy of internal genetic evaluations. Two issues of these methods concern double-counting of contributions due to relationships and due to records. These issues could be worse if external information came from several evaluations, at least partially based on the same records, and combined into a single internal evaluation. Based on a Bayesian approach, the aim of this research was to develop a unified method to integrate and blend simultaneously several sources of information into an internal genetic evaluation by avoiding double-counting of contributions due to relationships and due to records. Results This research resulted in equations that integrate and blend simultaneously several sources of information and avoid double-counting of contributions due to relationships and due to records. The performance of the developed equations was evaluated using simulated and real datasets. The results showed that the developed equations integrated and blended several sources of information well into a genetic evaluation. The developed equations also avoided double-counting of contributions due to relationships and due to records. Furthermore, because all available external sources of information were correctly propagated, relatives of external animals benefited from the integrated information and, therefore, more reliable estimated breeding values were obtained. Conclusions The proposed unified method integrated and blended several sources of information well into a genetic evaluation by avoiding double-counting of contributions due to relationships and due to records. The unified method can also be extended to other types of situations such as single-step genomic or multi-trait evaluations, combining information across different traits.
Disciplines :
Animal production & animal husbandry
Genetics & genetic processes
Author, co-author :
Vandenplas, Jérémie ;  Université de Liège - ULiège > Sciences agronomiques > Zootechnie
Colinet, Frédéric ;  Université de Liège - ULiège > Sciences agronomiques > Zootechnie
Gengler, Nicolas  ;  Université de Liège - ULiège > Sciences agronomiques > Zootechnie
Language :
English
Title :
Unified method to integrate and blend several, potentially related, sources of information for genetic evaluation
Publication date :
2014
Journal title :
Genetics, Selection, Evolution
ISSN :
0999-193X
eISSN :
1297-9686
Publisher :
EDP Sciences, Les Ulis, France
Volume :
46
Pages :
59
Peer reviewed :
Peer Reviewed verified by ORBi
Tags :
CÉCI : Consortium des Équipements de Calcul Intensif
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
CÉCI - Consortium des Équipements de Calcul Intensif [BE]
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since 06 September 2014

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