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AbstractFull Text

Fourier-transform mid-infrared (FTIR) milk spectra data is routinely collected within milk recording programs of different countries. This information can be used both for assessing milk composition and for genetic evaluations. Establishing an optimal strategy for the use of spectra data in genetic ...

Author(s)
Rovere, G.; Campos, G. de los; Tempelman, R. J.; Vazquez, A. I.; Miglior, F.; Schenkel, F.; Cecchinato, A.; Bittante, G.; Toledo-Alvarado, H.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2018, No.23, pp 127-134
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

This study presents a basic description and analysis of 20 common health disorders/diseases monitored in 289 802 dairy cows in the Czech Republic. The data were provided by farmers on a one-time basis from 1 183 herds and were collected between July 2015 and June 2016. In 55% of cows, no...

Author(s)
Kasna, E.; Fleischer, P.; Zavadilová, L.; Slosárková, S.; Krupová, Z.; Stanek, S.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2018, No.23, pp 173-177
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

Recent research showed the usefulness of using estimated breeding values (EBV) for mid-infrared (MIR) based biomarkers in genetic improvement. Similarly, research has also shown that genetic variation is contained in the absorbance traits along the MIR band of wavelengths. Targeted extraction of...

Author(s)
Gengler, N.; Mineur, A.; Vanderick, S.; Hammami, H.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2018, No.23, pp 221-227
AbstractFull Text

In this study, we analyzed genetic parameter for foot and claw diseases/disorders from 29 377 lactations of 11 776 Holstein cows recorded on 7 farms in the Czech Republic from 2000 to 2016. Three groups of foot and claw diseases/disorders were defined: skin diseases (SD), including digital and...

Author(s)
Zavadilová, L.; Brzáková, M.; Kasná, E.; Stípková, M.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2018, No.23, pp 263-267
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

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

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