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AbstractFull Text

Scoring cows on conformation has been successful as tool to define the right type of cow. The development of linear traits also made it possible to use conformation traits in mating programs and has given knowledge on the relationship between conformation and functional traits. International...

Author(s)
Jong, G. de
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2017, No.21, pp 291-294
AbstractFull Text

Recent research showed the usefulness of using estimated breeding values (EBV) for mid-infrared (MIR) based biomarkers in genetic improvement. A novel class of biomarkers was defined based on modelling responses of milk composition (e.g., mid-infrared (MIR) based) to stress expressed on continuous...

Author(s)
Mineur, A.; Mota, R. R.; Gengler, N.; Vanderick, S.; Hammami, H.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2018, No.23, pp 229-234
AbstractFull Text

Several studies conducted in the Limousine breed since the last 25 years lead to the definition of two selection criteria for beef cattle temperament: a temperament score given by the technician scoring type traits at weaning (COMP) and the number of movements during weighing at weaning (REAC)....

Author(s)
Venot, E.; Guerrier, J.; Lajudie, P.; Dufour, V.; Boivin, X.; Sapa, J.; Phocas, F.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2017, No.21, pp 301-306
AbstractFull Text

This article discusses the PAINT T (programme evaluation and identification of new Bulls) initiative programme for the genetic improvement of Nelore breeder bulls in CRV Lagoa, Rio de Janeiro, Brazil. PAINT covers two selection indexes (weaning and yearling), and covering visual, performance...

Author(s)
Franzon, C. A.; Carvalheiro, R.; Sesana, J. C.; Sala, V. E.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2017, No.21, pp 47-58
AbstractFull Text

Metabolic stability or resistance to metabolic diseases can be improved by genetic selection. Strategies include direct selection based on clinically observed traits, and indirect selection using indicators or predictors of metabolic diseases. The most prevalent metabolic diseases in dairy cattle,...

Author(s)
Heringstad, B.; Pryce, J. E.; Gaddis, K. L. P.; Koeck, A.; Bastin, C.; Abdelsayed, M.; Gengler, N.; Miglior, F.; Egger-Danner, C.; Stock, K. F.; Bradley, A. J.; Cole, J. B.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2017, No.21, pp 171-176
AbstractFull Text

The objective of this study was to evaluate the ability of mid-infrared predictions of blood BHB concentration to serve as a tool for large-scale phenotyping and management tool in New Zealand dairy farms. The data were on 553 cows (Holsteins and Holstein x Jersey crossbreds), from 2 farms located...

Author(s)
Bonfatti, V.; Turner, S. A.; Kuhn-Sherlock, B.; Phyn, C. V. C.; Pryce, J. E.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2018, No.23, pp 203-207
AbstractFull Text

Genomic selection was implemented in France in 2009 for 3 French dairy cattle breeds and was then extended to 3 beef and 5 extra dairy cattle breeds. It was also implemented in the Lacaune dairy sheep breed in 2015, and will start in 2017 for the 2 main goat breeds and 3 other dairy sheep breeds....

Author(s)
Venot, E.; Barbat, A.; Boichard, D.; Croiseau, P.; Ducrocq, V.; Lefebvre, R.; Phocas, F.; Sanchez, M. P.; Tribout, T.; Vinet, A.; Fouilloux, M. N.; Govignon-Gion, A.; Launay, A.; Promp, J.; Barbat, M.; Baur, A.; Hoze, C.; Fritz, S.; Saintilan, R.; Carillier, C.; Larroque, H.; Legarra, A.; Palhière, I.; Robert-Granié, C.; Rupp, R.; Tortereau, F. (et al)
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2017, No.21, pp 65-70
AbstractFull Text

Genomic evaluation for German Holstein is currently based on a reference population of more than 34,000 Holstein bulls. In order to achieve an even higher accuracy of genomic prediction and implement genomic selection timely also for new traits, routine genotyping of young heifers or lactating cows ...

Author(s)
Reents, R.; Liu, Z.; Alkhoder, H.; Segelke, D.; Stock, K.; Pasman, E.; Rensing, S.; Reinhardt, F.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2017, No.21, pp 79-84
AbstractFull Text

Sophisticated statistical methods are used to predict the genetic merit of individuals. By utilizing millions of performance records from daughters, parents and other relatives, genetic and environmental effects are well separated to predict the genetic worth of each animal. Their application has...

Author(s)
Miglior, F.; Finocchiaro, R.; Malchiodi, F.; Fleming, A.; Brito, L.; Baes, C. F.; Jamrozik, J.; Martin, P.; Chesnais, J.; Schenkel, F. S.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2017, No.21, pp 23-30
AbstractFull Text

Comprehensive new selection indices have been developed for Holstein, Jersey (Dairy) and Bonsmara (Beef) breeds in South Africa. In all cases the developments were based on the common practices followed in local production systems, biological knowledge, prices realised for the products, costs of...

Author(s)
Westhuizen, J. van der; Westhuizen, R. R. van der; Banga, C. B.; Theron, H. E.
Publisher
International Committee for Animal Recording (ICAR), Roma, Italy
Citation
ICAR Technical Series, 2010, No.14, pp 199-204

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