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
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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
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Genome wide analysis of fertility and production traits in Italian Holstein cattle.
Giulietta Minozzi,Ezequiel L. Nicolazzi,Ezequiel L. Nicolazzi,Alessandra Stella,Stefano Biffani,Riccardo Negrini,Barbara Lazzari,Paolo Ajmone-Marsan,John L. Williams +8 more
TL;DR: A network analysis was carried out to identify unforeseen relationships that may link production and fertility traits, and identified 61 significant SNPs and 75 significant marker-trait associations.
Journal ArticleDOI
Bovine Exome Sequence Analysis and Targeted SNP Genotyping of Recessive Fertility Defects BH1, HH2, and HH3 Reveal a Putative Causative Mutation in SMC2 for HH3
Matthew C. McClure,Derek M. Bickhart,Dan Null,Paul M. VanRaden,Lingyang Xu,G.R. Wiggans,George E. Liu,Steve Schroeder,Jarret Glasscock,Jon R. Armstrong,John B. Cole,Curtis P. Van Tassell,Tad S. Sonstegard +12 more
TL;DR: The findings strongly support the non-synonymous SNP (T/C) in SMC2 as the likely causative mutation within defective bovine embryo development contained within three of these haplotypes by combining exome capture with next generation sequencing.
Journal ArticleDOI
Invited review: A perspective on the future of genomic selection in dairy cattle
TL;DR: Genomic evaluation has been successfully implemented in the United States, Canada, Great Britain, Ireland, New Zealand, Australia, France, the Netherlands, Germany, and the Scandinavian countries, and it is unlikely that a selection plateau will be reached in the near future.
Journal ArticleDOI
Accounting for dominance to improve genomic evaluations of dairy cows for fertility and milk production traits.
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: Assessment of additive and dominance variance components for fertility and milk production traits of genotyped Holstein and Jersey cows in Australia found that including dominance in the model was not consistently advantageous, but accuracy of prediction of phenotypes was slightly increased.
Journal ArticleDOI
QTLs associated with dry matter intake, metabolic mid-test weight, growth and feed efficiency have little overlap across 4 beef cattle studies.
Mahdi Saatchi,Jonathan E. Beever,Jared E. Decker,Dan B. Faulkner,Harvey C. Freetly,Stephanie L. Hansen,Helen Yampara-Iquise,Kristen A. Johnson,Stephen D. Kachman,Monty S. Kerley,JaeWoo W. Kim,Daniel D. Loy,E. Marques,Holly L. Neibergs,E. John Pollak,Robert D. Schnabel,Christopher M. Seabury,Daniel W Shike,Warren M Snelling,Matthew L Spangler,R. L. Weaber,Dorian J. Garrick,Dorian J. Garrick,Jeremy F. Taylor +23 more
TL;DR: This GWAS study, which is the largest performed for feed efficiency and its component traits in beef cattle to date, identified several large-effect QTL that cumulatively explained a significant percentage of additive genetic variance within each population.
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.
Journal ArticleDOI
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.