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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

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

Partial least square (PLS) models were developed from Fourier transform mid-infrared (MIR) spectra, externally validated, and are being used commercially in the US for direct measurement of: * Groups of milk fatty acids [i.e., de novo (DN), mixed origin (MO), and preformed fatty (PF) acids] * Fatty ...

Author(s)
Barbano, D. M.; Dann, H. M.; Melilli, C.; Grant, R. J.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2018, No.23, pp 101-118
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

The objective of this study was to describe the usage of FOSS's ketosis screening tool in dairy herd improvement (DHI) laboratories around the world and further summarise their experience on the usability of the tool for dairy farmers. Ketosis is a costly metabolic disorder which usually occurs in...

Author(s)
Schwarz, D.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2017, No.21, pp 93-99
AbstractFull Text

Delta Instruments, St. Albans Cooperative Creamery, Cornell University and Miner Institute research collaboration on milk production efficiency has enabled the development of the first generation mid-FTIR herd management tools. A set of predictive fatty acids (FA) models has been developed to...

Author(s)
Beukema, W.; Santamaria, R.; Gates, T.; Dann, H.; Grant, R.; Barbano, D.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2017, No.21, pp 131-136

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