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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

Based on the first two years of measuring SCK prevalence rates in over 3,000 Holstein herds, using the KetoMonitor® management tool, a seasonal pattern is observed with highest prevalence rates in the winter and early spring. Considerable economic impact can carry throughout the entire lactation...

Author(s)
Coburn, A. D.; Adams, H. A.; Chandler, T. L.; Oetzel, G. R.; White, H. M.; Fourdraine, R. H.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2017, No.21, pp 41-45
AbstractFull Text

Milk Recording Organization from European Countries (Belgium, Germany, UK, Ireland, Luxembourg, France and Austria) worked together with research teams through an European project called OptiMIR. The goal of OptiMIR was to use the MIR spectral data from the milk recording in mathematical models to...

Author(s)
Lecomte, C.; Massart, M.; Bertozzi, C.; Gollé-Leidreiter, F.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2017, No.21, pp 61-64
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

The objective of this work is to provide an overview on (a) the validation and certification of FOSS's milk analysers, (b) working with FTIR technology/data and standardisation as part of quality assurance as well as (c) quality assurance for new milk-testing parameters. Besides extensive internal...

Author(s)
Schwarz, D.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2018, No.23, pp 23-29
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

The new CombiFossTM 7 DC is the latest generation milk analyser from FOSS. The instrument allows to test raw milk for up to 19 parameters, including the new Differential Somatic Cell Count (DSCC) parameter, simultaneously at a speed of up to 600 samples per hour. DSCC represents the proportion of...

Author(s)
Schwarz, D.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2018, No.23, pp 119-125
AbstractFull Text

Metabolic diseases in early lactation have significant negative effects on dairy cow health and welfare, and farm profitability. The most commonly described metabolic diseases are ketosis, hypocalcaemia, and hypomagnesaemia. Subclinical metabolic diseases, which are not associated with obvious...

Author(s)
Luke, T. D. W.; Rochfort, S.; Wales, W. J.; Pryce, J. E.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2018, No.23, pp 209-216
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

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