Institution
Livestock Improvement Corporation
Other•Hamilton, 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.
Topics: Dairy cattle, Population, Quantitative trait locus, Lactation, Gene
Papers published on a yearly basis
Papers
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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
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Baylor College of Medicine1, University of Missouri2, United States Department of Agriculture3, University of New England (United States)4, Commonwealth Scientific and Industrial Research Organisation5, Texas A&M University6, Norwegian University of Life Sciences7, George Mason University8, AgResearch9, Catholic University of the Sacred Heart10, International Atomic Energy Agency11, Empresa Brasileira de Pesquisa Agropecuária12, Sao Paulo State University13, International Livestock Research Institute14, Parco Tecnologico Padano15, University of Edinburgh16, Ethiopian Institute of Agricultural Research17, Livestock Improvement Corporation18, Cornell University19, University of Alberta20, Tuscia University21, Wellcome Trust Sanger Institute22, Government of Victoria23, University of Melbourne24, Trinity College, Dublin25, Simon Fraser University26
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
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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
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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
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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
Authors
Showing all 125 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jennie E. Pryce | 47 | 209 | 7428 |
Stephen R. Davis | 41 | 121 | 4908 |
Richard J. Spelman | 28 | 74 | 4926 |
Klaus Lehnert | 24 | 82 | 2014 |
Andrew D Scott | 22 | 64 | 1416 |
Mathew D Littlejohn | 18 | 38 | 1206 |
Christine Couldrey | 16 | 42 | 1368 |
B. W. Wickham | 14 | 29 | 572 |
B.L. Harris | 12 | 32 | 929 |
Lin Liu | 12 | 38 | 549 |
A.M. van Wagtendonk-de Leeuw | 12 | 20 | 1066 |
R Vishwanath | 11 | 11 | 747 |
Thomas Lopdell | 10 | 29 | 433 |
Kathryn Tiplady | 10 | 27 | 379 |
Thomas Johnson | 10 | 25 | 346 |