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Livestock Improvement Corporation

OtherHamilton, New Zealand
About: Livestock Improvement Corporation is a other organization based out in Hamilton, New Zealand. It is known for research contribution in the topics: Dairy cattle & Population. The organization has 124 authors who have published 181 publications receiving 8144 citations. The organization is also known as: LIC.


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Journal ArticleDOI
TL;DR: A national single-step genetic evaluation with the pedigree relationship matrix augmented with genomic information provided genomic predictions with accuracy and bias comparable to multiple-step procedures and could account for any population or data structure.

1,095 citations

Journal ArticleDOI
Richard A. Gibbs1, Jeremy F. Taylor2, Curtis P. Van Tassell3, William Barendse4, William Barendse5, Kellye Eversole, Clare A. Gill6, Ronnie D. Green3, Debora L. Hamernik3, Steven M. Kappes3, Sigbjørn Lien7, Lakshmi K. Matukumalli8, Lakshmi K. Matukumalli3, John C. McEwan9, Lynne V. Nazareth1, Robert D. Schnabel2, George M. Weinstock1, David A. Wheeler1, Paolo Ajmone-Marsan10, Paul Boettcher11, Alexandre Rodrigues Caetano12, José Fernando Garcia11, José Fernando Garcia13, Olivier Hanotte14, Paola Mariani15, Loren C. Skow6, Tad S. Sonstegard3, John L. Williams16, John L. Williams15, Boubacar Diallo, Lemecha Hailemariam17, Mário Luiz Martinez12, C. A. Morris9, Luiz Otávio Campos da Silva12, Richard J. Spelman18, Woudyalew Mulatu14, Keyan Zhao19, Colette A. Abbey6, Morris Agaba14, Flábio R. Araújo12, Rowan J. Bunch4, Rowan J. Bunch5, James O. Burton16, C. Gorni15, Hanotte Olivier15, Blair E. Harrison4, Blair E. Harrison5, Bill Luff, Marco Antonio Machado12, Joel Mwakaya14, Graham Plastow20, Warren Sim5, Warren Sim4, Timothy P. L. Smith3, Merle B Thomas4, Merle B Thomas5, Alessio Valentini21, Paul D. Williams5, James E. Womack6, John Woolliams16, Yue Liu1, Xiang Qin1, Kim C. Worley1, Chuan Gao6, Huaiyang Jiang1, Stephen S. Moore20, Yanru Ren1, Xingzhi Song1, Carlos Bustamante19, Ryan D. Hernandez19, Donna M. Muzny1, Shobha Patil1, Anthony San Lucas1, Qing Fu1, Matthew Peter Kent7, Richard Vega1, Aruna Matukumalli3, Sean McWilliam4, Sean McWilliam5, Gert Sclep15, Katarzyna Bryc19, Jung-Woo Choi6, Hong Gao19, John J. Grefenstette8, Brenda M. Murdoch20, Alessandra Stella15, Rafael Villa-Angulo8, Mark G. Wright19, Jan Aerts16, Jan Aerts22, Oliver C. Jann16, Riccardo Negrini10, Michael E. Goddard23, Michael E. Goddard24, Ben J. Hayes23, Daniel G. Bradley25, Marcos V.B. da Silva12, Marcos V.B. da Silva3, Lilian P.L. Lau25, George E. Liu3, David J. Lynn26, David J. Lynn25, Francesca Panzitta15, Ken G. Dodds9 
24 Apr 2009-Science
TL;DR: Data show that cattle have undergone a rapid recent decrease in effective population size from a very large ancestral population, possibly due to bottlenecks associated with domestication, selection, and breed formation.
Abstract: The imprints of domestication and breed development on the genomes of livestock likely differ from those of companion animals. A deep draft sequence assembly of shotgun reads from a single Hereford female and comparative sequences sampled from six additional breeds were used to develop probes to interrogate 37,470 single-nucleotide polymorphisms (SNPs) in 497 cattle from 19 geographically and biologically diverse breeds. These data show that cattle have undergone a rapid recent decrease in effective population size from a very large ancestral population, possibly due to bottlenecks associated with domestication, selection, and breed formation. Domestication and artificial selection appear to have left detectable signatures of selection within the cattle genome, yet the current levels of diversity within breeds are at least as great as exists within humans.

769 citations

Journal ArticleDOI
01 Jul 2008-Genetics
TL;DR: The correlation of r values between populations for the same marker pairs was close to 1 for pairs of very close markers and decreased with increasing marker distance and the extent of divergence between the populations, which indicates that genomic selection within cattle breeds with r2 ≥ 0.20 between adjacent markers would require ∼50,000 SNPs.
Abstract: When a genetic marker and a quantitative trait locus (QTL) are in linkage disequilibrium (LD) in one population, they may not be in LD in another population or their LD phase may be reversed. The objectives of this study were to compare the extent of LD and the persistence of LD phase across multiple cattle populations. LD measures r and r(2) were calculated for syntenic marker pairs using genomewide single-nucleotide polymorphisms (SNP) that were genotyped in Dutch and Australian Holstein-Friesian (HF) bulls, Australian Angus cattle, and New Zealand Friesian and Jersey cows. Average r(2) was approximately 0.35, 0.25, 0.22, 0.14, and 0.06 at marker distances 10, 20, 40, 100, and 1000 kb, respectively, which indicates that genomic selection within cattle breeds with r(2) >or= 0.20 between adjacent markers would require approximately 50,000 SNPs. The correlation of r values between populations for the same marker pairs was close to 1 for pairs of very close markers (<10 kb) and decreased with increasing marker distance and the extent of divergence between the populations. To find markers that are in LD with QTL across diverged breeds, such as HF, Jersey, and Angus, would require approximately 300,000 markers.

468 citations

Journal ArticleDOI
TL;DR: The historical and current methods used for storage of bovine semen are described and the essential physiological differences between liquid and frozen semen are addressed.

388 citations

Journal ArticleDOI
01 Jan 2003-Genetics
TL;DR: In this article, the authors used a denser chromosome 20 marker map and exploited linkage disequilibrium using two distinct approaches to provide strong evidence that a chromosome segment including the gene coding for the growth hormone receptor accounts for at least part of the chromosome 20 QTL effect.
Abstract: We herein report on our efforts to improve the mapping resolution of a QTL with major effect on milk yield and composition that was previously mapped to bovine chromosome 20. By using a denser chromosome 20 marker map and by exploiting linkage disequilibrium using two distinct approaches, we provide strong evidence that a chromosome segment including the gene coding for the growth hormone receptor accounts for at least part of the chromosome 20 QTL effect. By sequencing individuals with known QTL genotype, we identify an F to Y substitution in the transmembrane domain of the growth hormone receptor gene that is associated with a strong effect on milk yield and composition in the general population.

374 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
20222
202119
202015
20197
20185