Distribution and location of genetic effects for dairy traits
John B. Cole,Paul M. VanRaden,Jeffrey R. O'Connell,C.P. Van Tassell,Tad S. Sonstegard,Robert D. Schnabel,Jeremy F. Taylor,G.R. Wiggans +7 more
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.About:
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.read more
Citations
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Journal ArticleDOI
Genetic markers for lactation persistency in primiparous Australian dairy cows.
Jennie E. Pryce,Mekonnen Haile-Mariam,Klara L. Verbyla,Phil J. Bowman,Michael E. Goddard,Ben J. Hayes +5 more
TL;DR: Correlations between genomic breeding values predicted using all SNP simultaneously and estimated breeding values based on progeny test were twice as high as the equivalent correlations between estimatedbreeding values and parent average.
Journal ArticleDOI
On the performance of tests for the detection of signatures of selection: a case study with the Spanish autochthonous beef cattle populations
A. González-Rodríguez,Sebastián Munilla,Sebastián Munilla,E. F. Mouresan,J. J. Cañas-Álvarez,Clara Díaz,Jesús Piedrafita,Juan Altarriba,Jesus A. Baro,Antonio Molina,Luis Varona +10 more
TL;DR: The results of the procedures used to identify signals of selection differed substantially between the three groups of tests, which suggests that the selection events that occurred during the evolutionary history of the populations probably affected the same group of traits.
Journal ArticleDOI
Using genome-wide association analysis to characterize environmental sensitivity of milk traits in dairy cattle.
TL;DR: It is shown that ES of milk traits is a typical quantitative trait, genetically controlled by many genes with small effects and few genes with larger effect, which will have implications for breeding for robustness in dairy cattle.
Journal ArticleDOI
Validation of markers with non-additive effects on milk yield and fertility in Holstein and Jersey cows
H. Aliloo,H. Aliloo,Jennie E. Pryce,Jennie E. Pryce,Oscar González-Recio,Benjamin G. Cocks,Benjamin G. Cocks,Ben J. Hayes,Ben J. Hayes +8 more
TL;DR: Although no individual mutation with large dominance effect is found for both traits under investigation, a contribution to genetic variance is still possible from a large number of small dominance effects, so methods that simultaneously incorporate genotypes across all loci are suggested to test the variance explained by dominance gene actions.
Journal ArticleDOI
A catalogue of validated single nucleotide polymorphisms in bovine orthologs of mammalian imprinted genes and associations with beef production traits
David A. Magee,E. W. Berkowicz,Klaudia M Sikora,Donagh P. Berry,Stephen D. E. Park,Alan K. Kelly,Torres Sweeney,David A. Kenny,Ross D Evans,B. W. Wickham,Charles Spillane,David E. MacHugh +11 more
TL;DR: The hypothesis that imprinted genes contribute significantly to important complex production traits in cattle may be usefully incorporated into future marker-assisted and genomic selection breeding schemes.
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.
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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.
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Invited review: reliability of genomic predictions for North American Holstein bulls.
Paul M. VanRaden,C.P. Van Tassell,G.R. Wiggans,Tad S. Sonstegard,Robert D. Schnabel,Jeremy F. Taylor,Flavio S Schenkel +6 more
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.