Quantitative trait loci detection and benefits from marker-assisted selection in dairy cattle

作者: Nina Schulman

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摘要: The first objective of this study was to map quantitative trait loci (QTL)affecting economically important traits: milk production traits, health traits and fertility in the Finnish Ayshire population. second investigate effects using QTL information marker-assisted selection (MAS) on genetic response linkage disequilibrium between different parts genome. In conclusion, several affecting dairy cattle were detected. Futher studies are needed verify these QTL, check their presence present breeding population, look for pleiotropy fine most interesting regions. results simulation show that MAS together with embryo transfer pre-select young bulls within families is a useful approach increase merit AI-bulls compared conventional selection.

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