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Strategies to combine novel traits across countries: example of heat stress
Hammami, Hedi; Vandenplas, Jérémie; Carabaño, Maria-Jesus et al.
2014In Interbull Bulletin, 48, p. 79-84
 

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Keywords :
novel traits; heat tolerance; Bayesian evaluation; external information
Abstract :
[en] Nowadays, novel traits are of great interest. However, phenotypes are siloed and mainly not shared. Heat stress is becoming problematic affecting animals’ performances and their well-being. Heat stress tolerance as a novel trait is only addressed by isolated within-country research studies. Integration and combination of local and foreign information sources is needed for better accuracy genetic evaluations. Therefore, this study was aimed to test the potential combination of sources of external information towards the evaluation of heat stress tolerance of dairy cattle. Long-term cow performances linked to environmental descriptors (weather parameters as proxy to climate change) collected over 10 years under the temperate conditions of the Walloon Region of Belgium and the hotter and warm Mediterranean conditions of Andalusia and Castile-La-Mancha Spanish regions were available. A total of 1,604,775 milk, fat, and protein test-day (TD) records linked to average daily temperature humidity (THI) values for 3-day lag before each TD were considered. Under a first strategy considering free-access to raw-data (phenotype and pedigree), a joint evaluation was firstly run using reaction norm models where production traits were considered as function of THI. A Belgian and a Spanish evaluation were also run using the same model. An alternative strategy considering only access to external information (i.e. regression coefficients for additive genetic effects (â and their associated REL)) was tested. In this case, foreign â and their REL resulting from the Spanish evaluation were first converted to the Belgian trait and thereafter integrated in the Belgian <br /><br />evaluation using a Bayesian approach. Rank correlations between regression coefficients, â (of the 1,104 bulls having daughters only in Spain) estimated by Belgian evaluation and â estimated by the joint evaluation were moderate (<=0.70). Corresponding rank correlations between â estimated by joint and Bayesian evaluations were significantly higher (ranging from 0.967 to 0.998), indicating that the Bayesian evaluation integrating external information was in good concordance with the joint evaluation. Results from this study indicated that the integration of external information via the Bayesian approach has a good potential to improve the genetic evaluation of sparse and siloed novel traits.
Disciplines :
Animal production & animal husbandry
Genetics & genetic processes
Author, co-author :
Hammami, Hedi ;  Université de Liège - ULiège > Sciences agronomiques > Zootechnie
Vandenplas, Jérémie ;  Université de Liège - ULiège > Sciences agronomiques > Zootechnie
Carabaño, Maria-Jesus;  Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, 28040 Madrid, Spain
Logar, Betka;  Agricultural Institute of Slovenia, 1000 Ljubljana, Slovenia
Bormann, Jeanne;  Administration of Agricultural Technical Services, 1019 Luxembourg, Luxembourg
Bertozzi, Carlo;  Walloon Breeding Association, 5590 Ciney, Belgium
Gengler, Nicolas  ;  Université de Liège - ULiège > Sciences agronomiques > Zootechnie
Language :
English
Title :
Strategies to combine novel traits across countries: example of heat stress
Publication date :
2014
Event name :
2014 Interbull Meeting
Event organizer :
INTERBULL
Event place :
Berlin, Germany
Event date :
18 mai 2014 au 21 mai 2014
Audience :
International
Journal title :
Interbull Bulletin
ISSN :
1011-6079
eISSN :
2001-340X
Publisher :
International Bull Evaluation Service (Interbull), Uppsala, Sweden
Special issue title :
Proceedings of the 2014 Interbull Meeting
Volume :
48
Pages :
79-84
Name of the research project :
Projet de chargé de recherches "DairyHeatStress"
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
Available on ORBi :
since 09 July 2014

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