By Juho Kyntäjä; Kyllikki Lampinen; Andrea Rosati; Cesare Mosconi
This book specializes in some of the features of family animal recording, geared toward enhancing the administration of herds and lengthening their productiveness. New techniques for recording are illustrated and the main up to date applied sciences are provided, at the foundation of nationwide reports the place such applied sciences are already followed. even if farm animals is the well known species, components are devoted to small ruminants recording and to buffalo recording. destiny demanding situations and possibilities for extra improvement of ICAR and the definition of the longer term eventualities within the animal recording area also are defined. a distinct part is devoted to ''Improving the wellbeing and fitness qualities via recording and evaluation'', the place the previous and way forward for animal recording and using animal recording facts for genetic evaluate and breeding are outlined. one other part offers with the ''ICAR Reference Laboratory Network'', the place the reference structures, the foundations and the practices for calibration procedure for regimen milk checking out are awarded. The e-book ends with the nationwide records at the ''Yearly enquiry at the state of affairs of milk recording in member countries'' for the years 2003 and 2004. a complete of forty five pages describes the methodologies used at nationwide point for milk recording, the nationwide info for milk construction, the prices of recording and the productiveness and numbers of recorded livestock at nationwide point (divided through species and via herdbook)
Read Online or Download Breeding, production recording, health and the evaluation of farm animals: Proceedings of the 35th Biennial Session of ICAR, Kuopio, Finland June 6-10, 2006 PDF
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Extra info for Breeding, production recording, health and the evaluation of farm animals: Proceedings of the 35th Biennial Session of ICAR, Kuopio, Finland June 6-10, 2006
If these data disappear it is equal to loose money. Modern recording services must meet the challenge of hosting the huge amount of data on behalf of the dairy farmer. Benchmarking In any industry there is a need to compare with colleagues. In dairy business a lot of comparable items are relevant to benchmark. Age at first calving, average cell count, and production in a well defined period etc. When a farmer is benchmarking against data from other herds, a natural question is if these data are reliable.
83, 1115-1124. G. Roelofs, G. W. O. Box 454, 6800 AL Arnhem, The Netherlands Abstract Based on comments on imprecision of the estimation method for 24-hour fat percentage in AM/PM milk recording schemes the regression formula was extended and re-estimated. Non-linearity for the existing effects of protein percentage of the milk sample, interval before sampling, milk amount of sample, milk amount of previous milking and interval before the previous milking was incorporated by using polynomials. Extensions were made by adding the effects of time of sampling, parity and month of sampling as class variables and lactation stage as polynomial.
The Maitoisa service has been offered to farmers and dairy advisors since 2001 (Nousiainen 2003, Koivula et al. 2004). 29 “Maitoisa” in practice The web application provides an access to management levels and corresponding trend analysis results. The herd management levels of milk yield (milk deviation, kg/day), protein and fat concentration (protein and fat deviation, % units) and SCC (SCC deviation) used in the “Maitoisa” help to recognize management problems in feeding, udder health, etc. Modeled herd management levels assist users to identify herd-specific phenomena.