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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

The ICAR Board has initiated a Sensor Devices Task Force (SD-TF) with the task to provide guidelines and methodology to help classify and qualify on-farm sensors and sensor data in relation to milk production. This to create better safeguards on their suitability for herd management and breeding...

Author(s)
Bijgaart, H. van den; Orlandini, S.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2018, No.23, pp 45-51
AbstractFull Text

This fortieth ICAR Conference is the right forum and location for reinforcing the new philosophy of ICAR based on the mission of networking and building global synergies. These principles are reflected in the organization in Puerto Varas of a new Global Reach Latin American Working Group in which...

Author(s)
Niklitschek, S.; Lama, J.; Trejo, C.; Wickham, B.; Burke, M.; Mosconi, C.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2017, No.21, pp 313 pp.
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 was conducted to test the hypothesis that a combination of more frequently, but less accurately analysed milk components should give a more representative measure of a cow′s longer term milk composition than a DHIA sample taken once per month. Systematic biases with respect to stage of...

Author(s)
Lavon, Y.; Weller, J. I.; Ezra, E.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2017, No.21, pp 113-129
AbstractFull Text

The ICAR Recording Guidelines include provision for on-line milk analysis. However the guidelines are inconsistent with some of the practical realities of on-line milk analysis. Consequently, no milk analyser has been able to achieve ICAR approval to date. In the case of somatic cell count (SCC),...

Author(s)
Orchard, R. G.; Anderson, G. P. S.; Winkelman, A. M.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2018, No.23, pp 37-43
AbstractFull Text

This survey looks at the plausibility checks used at data capture of a few key data sets in milk recording organisations around the world. The aim of these checks is to keep the data integral, with no internal discrepancies. We found that the most important plausibility checks are almost universal, ...

Author(s)
Kyntäjä, J.; Alday, S.; Barras, E.; Bhagat, R. L.; Bucek, P.; Craven, T.; Feeney, L.; Galvanovska, E.; Haase, K.; High, J.; Jóhannesson, G.; Kuwan, K.; Larsson, N. L.; Lauritsen, U.; Lavon, Y.; Mikalsen, V.; Pecinar, M.; Radzio, D.; Rapaioli, F.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2018, No.23, pp 179-183
AbstractFull Text

This proceedings contains topics on the developments in animal recording, evaluation of animals and their traits, and the latest technologies related with the different steps of the milk production chain. This tracks the new tools for the service of various phases of domestic animal recording at...

Author(s)
Kujina, E.; Galvanoska, E.; Leray, O.; Mosconi, C.
Publisher
International Committee for Animal Recording (ICAR), Roma, Italy
Citation
ICAR Technical Series, 2010, No.14, pp 390 pp.
AbstractFull Text

Genetic evaluation beyond common economic traits are necessary in tropical sire summary. Thailand Tropical Holstein dairy cattle has been development for improvement of milk yield (MY), milk composition (Fat, Protein, SNF), SCC, days open under tropical environment for decades. Nowadays, there are...

Author(s)
Duangjinda, M.; Boonkum, W.; Puangdee, S.; Saowaphak, P.; Chareonsin, S.; Chankitisakul, V.; Buaban, S.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2018, No.23, pp 155-160
AbstractFull Text

Milk samples were collected from all milkings and from all the automatic milking system (AMS) and were analysed for fat, protein, lactose and SCC (n=10, 10, 7 and 6 farms, respectively). All herds were comprised of mostly Holstein cows and herd size was on average 74±15 milking cows. Data on milk...

Author(s)
Fadul-Pacheco, L.; Lacroix, R.; Séguin, M.; Grisé, M.; Vasseur, E.; Lefebvre, D. M.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2018, No.23, pp 53-63

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