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https://hdl.handle.net/1959.11/23053| Title: | Zeitabhängige genetische Effekte bei Milchkühen | English Title: | Time-dependent Genetic Effects in Dairy Cattle | Contributor(s): | Strucken, Eva (author) ; Bortfeldt, Ralf (author); Brockmann, Gudrun (author) |
Publication Date: | 2012 | Handle Link: | https://hdl.handle.net/1959.11/23053 | Publication Type: | Conference Publication | Conference Details: | DGfZ 2012: Deutsche Gesellschaft fuer Zuechtungskunde, Halle, Germany, 12th - 13th September, 2012 | Source of Publication: | Deutschen Gesellschaft für Züchtungskunde und der Gesellschaft für Tierzuchtwissenschaften, p. 1-4 | Publisher: | Deutschen Gesellschaft für Züchtungskunde e V und der Gesellschaft für Tierzuchtwissenschaften | Place of Publication: | Germany | Fields of Research (FoR) 2008: | 070201 Animal Breeding | Fields of Research (FoR) 2020: | 300305 Animal reproduction and breeding | Socio-Economic Objective (SEO) 2008: | 970107 Expanding Knowledge in the Agricultural and Veterinary Sciences 830507 Unprocessed or Minimally Processed Milk 830302 Dairy Cattle |
Socio-Economic Objective (SEO) 2020: | 280101 Expanding knowledge in the agricultural, food and veterinary sciences 100606 Unprocessed or minimally processed milk 100402 Dairy cattle |
HERDC Category Description: | E2 Non-Refereed Scholarly Conference Publication | Publisher/associated links: | http://www.dgfz-bonn.de/presse/index-105.html | English Abstract: | Food and resource shortages pose a serious global challenge for science to search for and improved food production under simultaneous consideration of resource preservation. The introduction of genomic selection appears to be promising to directly breed for genetic dispositions without the knowledge of the complex network of causative genes. Nevertheless, a significant association with genetic markers is also the basis of genomic selection. To date, such associations were assessed based on static 305-day breeding values or averaged yield deviations. However, many quantitative traits such as lactation yields show a phenotypical time-dependency, and dynamic gene expression studies also show a variable influence on individual lactation periods. Animal health and fertility as well as economic aspects could be improved in the first third of the lactation through changing individual lactation periods, e.g. a lower maximum production with an increased persistency. Preliminary association studies showed methods and results which could enable us to incorporate time-dependent variability in genomic selection (Strucken et al. 2011 & 2012). The aim of this study is to test and extend current methods and results for dynamic genetic association studies. |
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| Appears in Collections: | Conference Publication School of Environmental and Rural Science |
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