Cookies on VetMed Resource

Like most websites we use cookies. This is to ensure that we give you the best experience possible.

 

Continuing to use www.cabi.org  means you agree to our use of cookies. If you would like to, you can learn more about the cookies we use.

VetMed Resource

Veterinary information to support practice, based on evidence and continuing education

Sign up to receive our Veterinary & Animal Sciences e-newsletter, book alerts and offers direct to your inbox.

Results per page:

Search results

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

This work contains 40 topics on the identification, parentage registration, performance and health recording and genetic evaluation of cattle and sheep for milk and meat production.

Author(s)
Bryant, J.; Burke, M.; Cook, R.; Harris, B.; Mosconi, C.; Wickham, B.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2018, No.23, pp v + 280 pp.
AbstractFull Text

Reticulo-rumen sensor data were used for estrus prediction in Gir heifers. Temperature-sensing reticular boluses were orally administered to 60 heifers, and the ruminal temperature (RRT) and animal activity were recorded every 10 minutes. The cows were synchronized using a hormonal protocol....

Author(s)
Vicentini, R. R.; Oliveira, A. P.; Veroneze, R.; Montanholi, Y. R.; Lima, M. L. P.; Ujita, A.; Alves, S. F.; Lima, A. C. N. de; El-Faro, L.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2018, No.23, pp 245-249
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

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

During the last 15 years, France Génétique Elevage (FGE) has developed a quality management system in compliance with ISO 9001 standard, in process mode, involving more than 180 independent organisations and 6 different professional activities, in the field of cattle genetic improvement. FGE has...

Author(s)
Journaux, L.; Delacroix, J.; Delaunay, H.; Minard, I.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2018, No.23, pp 15-19
AbstractFull Text

Author(s)
Sievert, S.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2018, No.23, pp 21
AbstractFull Text

As a common project of the five Nordic countries, a shared interface has been created for data exchange between farm management software and the national databases. Joining organisations only have to build the exchange between their own software and the interface. Main principles of the system are...

Author(s)
Kyntäjä, J.; Frandsen, J.; Ilomäki, J.; Jafner, N.; Jóhannesson, G.; Mikalsen, V.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2018, No.23, pp 99-100
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

Author(s)
Baumgartner, C.; Behr, B.; Hachenberg, S.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2018, No.23, pp 35

Refine Results

Sort Order
Author
Geographical Location
Item Type
Organisms
Subject Topics