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Economic values and expected effect of selection index for pathogen-specific mastitis under Danish conditions
Authors:L.P. Sø  rensen,T. Mark,S. Ø  stergaard
Affiliation:* University of Copenhagen, Faculty of Life Sciences, Department of Basic Animal and Veterinary Sciences, DK-1870 Frederiksberg C, Denmark
University of Aarhus, Faculty of Agricultural Sciences, Department of Genetics and Biotechnology, Research Centre Foulum, DK-8830 Tjele, Denmark
Danish Agricultural Advisory Service, Udkaersvej 15, Skejby, DK-8200 Aarhus N, Denmark
§ University of Aarhus, Faculty of Agricultural Sciences, Department of Animal Health and Bioscience, Research Centre Foulum, DK-8830 Tjele, Denmark
Abstract:The objectives of this study were 1) to estimate costs related to 5 different pathogen-specific mastitis traits (susceptibility to different pathogens causing mastitis in dairy cattle) and unspecific mastitis, and 2) to compare selection differentials for an udder health index consisting of 5 different pathogen-specific mastitis traits and lactation average somatic cell count from 5 to 170 d after first calving (LASCC170) with another index consisting of 1 unspecific mastitis trait and LASCC170. Economic values were estimated for mastitis caused by Staphylococcus aureus, Streptococcus dysgalactiae, Escherichia coli, coagulase-negative staphylococci, and Streptococcus uberis using a stochastic simulation model (SimHerd IV). Mastitis incidences for SimHerd IV were from incidences of mastitis treatments in primiparous Danish Holstein cows calving in 2007. Estimated costs ranged from €149 to €570 per mastitis case and were highest for contagious pathogens such as Staph. aureus and coagulase-negative staphylococci and lowest for Strep. dysgalactiae and Strep. uberis. The value for unspecific mastitis was €231 per case. Selection differentials (in €) were estimated for 4 different selection indices, including 1) unspecific mastitis, 2) unspecific mastitis and LASCC170, 3) 5 pathogen-specific mastitis traits and unspecific residual mastitis (unspecific mastitis treatments minus mastitis treatments caused by the 5 pathogens), and 4) as index 3 including LASCC170. The breeding goal was identical to selection index 3. Mastitis data from primiparous cows calving from 1998 to 2008 were used to estimate genetic parameters of the mastitis traits using linear models and AI-REML algorithm. These parameters were used for construction of the selection index equations. For the selection indices, information sources were measurements of mastitis treatments and LASCC170 from 50, 80, or 130 daughters of a bull as well as measurements of mastitis treatments from 1,000 progeny of the bull's sire and 1,000 daughters of his maternal grandsire. Differences in selection differentials were marginal among the 4 indices. Without considering LASCC170, the selection differential of an unspecific mastitis index was €0.4 (<1%) better than that of a pathogen-specific index. On the other hand, the selection differential of the pathogen-specific index was €0.3 (<1%) better than that of an unspecific index when LASCC170 was included in the indices. Reliabilities of the selection indices were 0.62 to 0.67 (80 daughters) and were proportional to the selection differential. Changing the number of daughters to 50 or 130 did not change ranking of the indices. Heritabilities of the pathogen-specific traits were very low (h2 = 0.005-0.021) compared with unspecific mastitis (h2 = 0.062), which may limit the selection differential of the pathogen-specific index.
Keywords:simulation   mastitis   genetic parameter   pathogen
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