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Title: SNP-Chip analysis for investigating genetic effects over a timeline
Contributor(s): Strucken, Eva  (author)orcid ; de Koning, D J (author); Brockmann, Gudrun A (author)
Publication Date: 2010
Open Access: Yes
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Abstract: High throughput methods have been recently developed to genotype individuals for 50,000 or more single nucleotide polymorphisms (SNPs) in a cost effective way. However, besides increasing the power of association studies by using dense marker maps the importance of the accurate selection of the phenotypic data should not be disregarded. The level of milk production differs between parities and shows a decrease for higher parities. Moreover, differences in milk yield can be observed between different lactations as well as within a single lactation. A lactation curve shows the peak production between day 35 and 50 after which production slowly decreases until the end of the lactation (Stanton et al. 1992, Dematawewa et al. 2007). This study aims to locate genetic effects underlying variation in milk production over time. In order to estimate genetic effects between lactations the average production level for each cow was considered. To estimate genetic effects within a lactation, lactation curve parameters were estimated.
Publication Type: Conference Publication
Conference Details: WCGALP 2010: 9th World Congress on Genetics Applied to Livestock Production, Leipzig, Germany, 1-6 August, 2010
Source of Publication: Proceedings of the 9th World Congress on Genetics Applied to Livestock Production, v.Genetics of trait complexes: Lactation - Lecture Sessions, p. 0451-0454
Publisher: German Society for Animal Science
Place of Publication: Germany
Fields of Research (FoR) 2008: 070201 Animal Breeding
Socio-Economic Objective (SEO) 2008: 970107 Expanding Knowledge in the Agricultural and Veterinary Sciences
830507 Unprocessed or Minimally Processed Milk
830302 Dairy Cattle
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Appears in Collections:Conference Publication
School of Environmental and Rural Science

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