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Open AccessJournal ArticleDOI

Distribution and location of genetic effects for dairy traits

TLDR
A high-density scan using 38,416 single nucleotide polymorphism markers for 5,285 bulls confirmed 2 previously known major genes on Bos taurus autosomes (BTA) 6 and 14 but revealed few other large effects as discussed by the authors.
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This article is published in Journal of Dairy Science.The article was published on 2009-06-01 and is currently open access. It has received 224 citations till now. The article focuses on the topics: Quantitative trait locus & Allele.

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Citations
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Journal ArticleDOI

Genome-wide association study for calving traits in Danish and Swedish Holstein cattle

TL;DR: The identification of calving trait-associated single nucleotide polymorphisms and mapping of the corresponding QTL in small chromosomal regions will facilitate the search for candidate calving performance genes and polymorphisms.
Journal ArticleDOI

Implementation and accuracy of genomic selection

TL;DR: Genomic selection is ideally suited to populations in which highly accurate GEBV are available for training population individuals and whose marker-selected progeny go on to produce phenotypes and reenter the training population which then becomes dynamic.
Journal ArticleDOI

Comparison between genomic predictions using daughter yield deviation and conventional estimated breeding value as response variables

TL;DR: The results indicate that EBV can be used as an alternative response variable for genomic prediction and led to similar reliability of an index combining GEBV and PA in most scenarios.
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Expression variants of the lipogenic AGPAT6 gene affect diverse milk composition phenotypes in Bos taurus.

TL;DR: Bayesian genome-wide association mapping revealed a large quantitative trait locus (QTL) for milk fat percentage on chromosome 27, present in two independent cattle populations, and variants affecting the expression of AGPAT6 are causally involved in differential milk fat synthesis, with pleiotropic consequences for a diverse range of other milk components.
Journal ArticleDOI

Partitioning additive genetic variance into genomic and remaining polygenic components for complex traits in dairy cattle

TL;DR: Most of the additive genetic variance for the traits in the Nordic Holstein population can be explained using 44 K informative SNP markers.
References
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Book

Introduction to quantitative genetics

TL;DR: The genetic constitution of a population: Hardy-Weinberg equilibrium and changes in gene frequency: migration mutation, changes of variance, and heritability are studied.
Journal ArticleDOI

Prediction of Total Genetic Value Using Genome-Wide Dense Marker Maps

TL;DR: It was concluded that selection on genetic values predicted from markers could substantially increase the rate of genetic gain in animals and plants, especially if combined with reproductive techniques to shorten the generation interval.
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Efficient Methods to Compute Genomic Predictions

TL;DR: Efficient methods for processing genomic data were developed to increase reliability of estimated breeding values and to estimate thousands of marker effects simultaneously, and a blend of first- and second-order Jacobi iteration using 2 separate relaxation factors converged well for allele frequencies and effects.
Journal ArticleDOI

Invited review: reliability of genomic predictions for North American Holstein bulls.

TL;DR: Genotypes for 38,416 markers and August 2003 genetic evaluations for 3,576 Holstein bulls born before 1999 were used to predict January 2008 daughter deviations and genomic prediction improves reliability by tracing the inheritance of genes even with small effects.
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