W. Snelling

发表

Genome‐wide copy number variation in the bovine genome detected using low coverage sequence of popular beef breeds†,‡

J. Keele, B. Keel, W. Snelling, 2017, Animal genetics.

Genetic improvement in cattleare we sacrificing reproduction in favor of production?

G. L. Bennett, G. Perry, R. Cushman, 2019, Bioscientifica Proceedings.

Multi-Tissue Omics Analyses Reveal Molecular Regulatory Networks for Puberty in Composite Beef Cattle

A. Reverter, S. Lehnert, J. Medrano, 2014, PloS one.

Breeding and Genetics Symposium: networks and pathways to guide genomic selection.

A. Reverter, J. Keele, C. Maltecca, 2013, Journal of animal science.

Physiology and Endocrinology Symposium: How single nucleotide polymorphism chips will advance our knowledge of factors controlling puberty and aid in selecting replacement beef females.

G. L. Bennett, A. Reverter, J. Keele, 2012, Journal of animal science.

A physical map of the bovine genome

Steven J. M. Jones, Timothy P. L. Smith, G. L. Bennett, 2007, Genome Biology.

De novo assembly of the cattle reference genome with single-molecule sequencing

Steven G. Schroeder, Timothy P. L. Smith, S. Koren, 2020, GigaScience.

A comprehensive genetic map of the cattle genome based on 3802 microsatellites.

Tomohito Itoh, G. L. Bennett, C. Beattie, 2004, Genome research.

Influence of environmental factors and genetic variation on mitochondrial DNA copy number.

M. Spangler, L. Kuehn, W. Snelling, 2022, Journal of animal science.

Post-partum anoestrus in tropical beef cattle: A systems approach combining gene expression and genome-wide association results☆

S. McWilliam, A. Reverter, S. Moore, 2014 .

A “genetics first” approach to selection

G. L. Bennett, T. McDaneld, W. Snelling, 2018 .

Modelling Growth from Weaning to Maturity in Beef Cattle Breeds

Ronald M. Lewis, R. Thallman, M. Spangler, 2018 .

Genome-wide association study of growth in crossbred beef cattle.

G. L. Bennett, J. Keele, T. Sonstegard, 2010, Journal of animal science.

Integrating linkage and radiation hybrid mapping data for bovine chromosome 15

Timothy P. L. Smith, G. L. Bennett, G. Harhay, 2004, BMC Genomics.

Comparison of Burrows-Wheeler Transform-Based Mapping Algorithms Used in High-Throughput Whole-Genome Sequencing: Application to Illumina Data for Livestock Genomes1

B. Keel, W. Snelling, 2018, Front. Genet..

3802 Microsatellites A Comprehensive Genetic Map of the Cattle Genome Based on Material

G. L. Bennett, C. Beattie, K. Reed, 2004 .

Differences in transcript abundance of genes on BTA15 located within a region associated with gain in beef steers.

J. Miles, H. Freetly, A. Lindholm-Perry, 2015, Gene.

Using SNP Weights Derived From Gene Expression Modules to Improve GWAS Power for Feed Efficiency in Pigs

G. Rohrer, A. Lindholm-Perry, L. Kuehn, 2020, Frontiers in Genetics.

Genomics and the global beef cattle industry 1

G. L. Bennett, E. J. Pollak, R. Thallman, 2012 .

Effects of reduced panel, reference origin, and genetic relationship on imputation of genotypes in Hereford cattle.

L. Alexander, C. Maltecca, M. MacNeil, 2012, Journal of animal science.

A region on BTA14 that includes the positional candidate genes LYPLA1, XKR4 and TMEM68 is associated with feed intake and growth phenotypes in cattle(1).

C. Ferrell, T. P. Smith, H. Freetly, 2012, Animal genetics.

Association, effects and validation of polymorphisms within the NCAPG - LCORL locus located on BTA6 with feed intake, gain, meat and carcass traits in beef cattle

Timothy P. L. Smith, C. Ferrell, H. Freetly, 2011, BMC Genetics.

Breeding Sustainable Beef Cows: Reducing Weight and Increasing Productivity

R. Thallman, M. Spangler, L. Kuehn, 2022, Animals : an open access journal from MDPI.

Polymorphism of the follicle stimulating hormone receptor does not impact reproductive performance or in-vitro embryo production in beef heifers.

G. L. Bennett, J. Miles, G. Perry, 2022, Theriogenology.

The bovine type I iodothyronine deiodinase (DIO1) gene maps to chromosome 3.

G. L. Bennett, T. Sonstegard, S. Kahl, 2003, Animal genetics.

Porcine NAMPT gene: search for polymorphism, mapping and association studies.

C. Óvilo, G. Rohrer, S. Čepica, 2010, Animal genetics.

The accuracies of DNA-based estimates of genetic merit derived from Angus or multibreed beef cattle training populations.

Alison L. Van Eenennaam, E. J. Pollak, R. Schnabel, 2012, Journal of animal science.

cycle , age , and birth weight 1 , 2

A. Cupp, R. Cushman, H. Freetly, 2009 .

Gene network analyses of first service conception in Brangus heifers: use of genome and trait associations, hypothalamic-transcriptome information, and transcription factors.

Shivashankar H. Nagaraj, J F Medrano, A Reverter, 2012, Journal of animal science.

Genomewide association study of reproductive efficiency in female cattle.

E. J. Pollak, J. Keele, J. Cole, 2014, Journal of animal science.

Factors influencing genetic evaluations of linebred Hereford cattle in diverse environments.

M. MacNeil, W. Snelling, M. W. Tess, 1996, Journal of animal science.

Residual feed intake and body composition in young growing cattle

John A. Basarab, Jennifer L. Aalhus, E. Okine, 2003 .

Evolutionary and Functional Features of Copy Number Variation in the Cattle Genome

A. Lindholm-Perry, B. Keel, W. Snelling, 2016, Front. Genet..

Mapping QTL for fatty acid composition that segregates between the Japanese Black and Limousin cattle breeds

L. Alexander, J. Koltes, T. Geary, 2008 .

Quantitative trait loci with additive effects on palatability and fatty acid composition of meat in a Wagyu-Limousin F2 population.

L. Alexander, T. Geary, M. MacNeil, 2007, Animal genetics.

Quantitative trait loci with additive effects on palatability and fatty acid composition of meat in a Wagyu – Limousin F 2 population

L. Alexander, T. Geary, M. MacNeil, 2007 .

Genetic Variance and Covariance Components for Feed Intake, Average Daily Gain, and Postweaning Gain in Growing Beef Cattle

H. Freetly, M. MacNeil, L. Kuehn, 2015 .

Genomewide association study of liver abscess in beef cattle.

J. Keele, L. Kuehn, R. Tait, 2016, Journal of animal science.

Transcriptome differences in the rumen of beef steers with variation in feed intake and gain.

John W. Kern, J. Keele, J. Miles, 2016, Gene.

Ruminal expression of the NQO1, RGS5, and ACAT1 genes may be indicators of feed efficiency in beef steers.

H. Freetly, A. Lindholm-Perry, L. Kuehn, 2017, Animal genetics.

Incorporation of genetic technologies associated with applied reproductive technologies to enhance world food production.

D. Nonneman, R. Cushman, L. Kuehn, 2014, Advances in experimental medicine and biology.

QTLs associated with dry matter intake, metabolic mid-test weight, growth and feed efficiency have little overlap across 4 beef cattle studies

E. J. Pollak, R. Schnabel, C. Seabury, 2014, BMC Genomics.

Genomics and the global beef cattle industry

R. M. Thallman, Larry A. Kuehn, G. L. Bennett, 2012 .

Identification and fine mapping of quantitative trait loci for backfat on bovine chromosomes 2, 5, 6, 19, 21, and 23 in a commercial line of Bos taurus.

S. Moore, B. Murdoch, J. Basarab, 2004, Journal of animal science.

A multiway analysis for identifying high integrity bovine BACs

B. Dalrymple, S. McWilliam, R. Brauning, 2009, BMC Genomics.

Comparative and physical mapping of 111 previously reported and 105 new porcine microsatellites.

L. Alexander, S. Fahrenkrug, D. Nonneman, 2007, Animal genetics.

Prion gene sequence variation within diverse groups of U.S. sheep, beef cattle, and deer

M. P. Heaton, J. Keele, C. Chitko-McKown, 2003, Mammalian Genome.

Characterization of 954 bovine full-CDS cDNA sequences

G. Harhay, M. P. Heaton, C. V. Van Tassell, 2018 .

Genome-wide association study of swine farrowing traits. Part II: Bayesian analysis of marker data.

G. Rohrer, D. Nonneman, R. Wiedmann, 2012, Journal of animal science.

Assessment of positional candidate genes myf5 and igf1 for growth on bovine chromosome 5 in commercial lines of Bos taurus.

S. Moore, J. Basarab, B. Benkel, 2004, Journal of animal science.

Evaluation of antral follicle count and ovarian morphology in crossbred beef cows: investigation of influence of stage of the estrous cycle, age, and birth weight.

A. Cupp, R. Cushman, H. Freetly, 2009, Journal of animal science.

Confirmation of quantitative trait loci using a low-density single nucleotide polymorphism map for twinning and ovulation rate on bovine chromosome 5.

R. Cushman, R. Thallman, L. Kuehn, 2009, Journal of animal science.

Breed effects and genetic parameter estimates for calving difficulty and birth weight in a multibreed population.

S. Kachman, R. Thallman, M. Spangler, 2016, Journal of animal science.

Linkage mapping of the bovine bone morphogenetic protein receptor-1B (BMPR1B ) to chromosome 6.

T. P. Smith, R. Christenson, W. Snelling, 2003, Animal genetics.

Y are you not pregnant: identification of Y chromosome segments in female cattle with decreased reproductive efficiency.

E. J. Pollak, L. Matukumalli, J. Keele, 2012, Journal of animal science.

Within-herd genetic analyses of stayability of beef females.

R. Bourdon, W. Snelling, B. Golden, 1995, Journal of animal science.

Genetic and phenotypic parameter estimates for feed intake and other traits in growing beef cattle, and opportunities for selection.

C. Ferrell, H. Freetly, W. Snelling, 2011, Journal of animal science.

Genetic correlations among weight and cumulative productivity of crossbred beef cows.

G. L. Bennett, R. Thallman, L. Kuehn, 2018, Journal of animal science.

Beef cattle body temperature during climatic stress: a genome-wide association study

E. J. Pollak, D. Ciobanu, S. Kachman, 2014, International Journal of Biometeorology.

Systematic error in genetic evaluation of miles city line 1 hereford cattle resulting from preadjustment for age of dam.

M. MacNeil, W. Snelling, 1996, Journal of animal science.

Genome-wide association of meat quality traits and tenderness in swine.

G. Rohrer, D. Nonneman, R. Wiedmann, 2013, Journal of animal science.

The identification of common haplotypes on bovine chromosome 5 within commercial lines of Bos taurus and their associations with growth traits.

S. Moore, J. Basarab, B. Benkel, 2002, Journal of animal science.

RNA-Seq Meta-analysis identifies genes in skeletal muscle associated with gain and intake across a multi-season study of crossbred beef steers

J. Keele, H. Freetly, A. Lindholm-Perry, 2018, BMC Genomics.

Genetic changes in beef cow traits following selection for calving ease.

G. L. Bennett, J. Keele, H. Freetly, 2021, Translational animal science.

Experimental selection for calving ease and postnatal growth in seven cattle populations. II. Phenotypic differences.

G. L. Bennett, R. Thallman, L. Kuehn, 2008, Journal of animal science.

Breed and heterotic effects for mature weight in beef cattle.

Ronald M. Lewis, R. Thallman, M. Spangler, 2021, Journal of animal science.

Fine mapping of quantitative trait loci and assessment of positional candidate genes for backfat on bovine chromosome 14 in a commercial line of Bos taurus.

S. Moore, J. Basarab, B. Benkel, 2003, Journal of animal science.

Quantitative trait loci with additive effects on growth and carcass traits in a Wagyu-Limousin F2 population.

L. Alexander, T. Geary, M. MacNeil, 2007, Animal genetics.

Quantitative trait loci with additive effects on growth and carcass traits in a Wagyu – Limousin F 2 population

L. Alexander, T. Geary, M. MacNeil, 2007 .

Partial-genome evaluation of postweaning feed intake and efficiency of crossbred beef cattle.

G. L. Bennett, J. Keele, C. Ferrell, 2011, Journal of animal science.

Identification of genetic markers for fat deposition and meat tenderness on bovine chromosome 5: development of a low-density single nucleotide polymorphism map.

G. L. Bennett, G. Harhay, J. Keele, 2005, Journal of animal science.

Historical Overview and Current Status of Genomic Technology and Marker Assisted Selection in Beef Cattle

E. J. Pollak, W. Snelling, T. Smith, 2015 .

Evaluation in beef cattle of six deoxyribonucleic acid markers developed for dairy traits reveals an osteopontin polymorphism associated with postweaning growth.

J. Keele, S. White, T. P. Smith, 2007, Journal of animal science.

Using Genomics to Measure Phenomics: Repeatability of Bull Prolificacy in Multiple-bull Pastures

G. L. Bennett, J. Keele, R. Cushman, 2021, Agriculture.

Accuracy of genomic breeding values in multibreed beef cattle populations derived from deregressed breeding values and phenotypes 1 , 2

Alison L. Van Eenennaam, G. L. Bennett, J. Keele, 2012 .

Evaluation of a functional variant assay for selecting beef cattle

G. L. Bennett, A. Dickey, L. Kuehn, 2018 .

Linkage disequilibrium among commonly genotyped SNP variants detected from bull sequence†,‡

G. L. Bennett, R. Thallman, L. Kuehn, 2017, Animal genetics.

A survey of polymorphisms detected from sequences of popular beef breeds.

G. L. Bennett, E. J. Pollak, T. Kalbfleisch, 2015, Journal of animal science.

Evaluation of single nucleotide polymorphisms in chromosomal regions impacting pregnancy status in cattle.

J. Keele, L. Kuehn, T. McDaneld, 2015, Journal of animal science.

Networks and pathways to guide genomic selection 1 − 3

A. Reverter, J. Keele, C. Maltecca, 2014 .

Using 50 K Single Nucleotide Polymorphisms to Elucidate Genomic Architecture of Line 1 Hereford Cattle

L. Alexander, C. Maltecca, M. MacNeil, 2012, Front. Gene..

Comparison of selection by independent culling levels for below-average birth weight and high yearling weight with mass selection for high yearling weight in line 1 Hereford cattle.

M. MacNeil, W. Snelling, J. Urick, 1998, Journal of animal science.

Predicting breed composition using breed frequencies of 50,000 markers from the US Meat Animal Research Center 2,000 Bull Project.

G. L. Bennett, J. Keele, T. Sonstegard, 2011, Journal of animal science.

Heritability and genetic correlations of feed intake, body weight gain, residual gain, and residual feed intake of beef cattle as heifers and cows.

H. Freetly, R. Thallman, L. Kuehn, 2020, Journal of animal science.

325 Genes in skeletal muscle associated with gain and intake identified in a multiseason study of crossbred beef steers

J. Keele, H. Freetly, A. Lindholm-Perry, 2017 .

Linkage mapping bovine EST-based SNP

G. L. Bennett, G. Harhay, J. Keele, 2005, BMC Genomics.

Beta-2-microglobulin haplotypes in U.S. beef cattle and association with failure of passive transfer in newborn calves

M. P. Heaton, J. Keele, C. Chitko-McKown, 2004, Mammalian Genome.

Characterization and linkage mapping of 15 porcine STS markers to fine-map chromosomal regions associated with hernia inguinalis/scrotalis.

G. Rohrer, B. Brenig, C. Knorr, 2008, Animal genetics.

Genetic markers on BTA14 predictive for residual feed intake in beef steers and their effects on carcass and meat quality traits.

C. Ferrell, T. P. Smith, H. Freetly, 2012, Animal genetics.

Breeding for Profit : an Introduction to Selection Index Concepts

M. MacNeil, W. Snelling, R. Nugent, 1997 .

Identification and fine mapping of quantitative trait loci for growth traits on bovine chromosomes 2, 6, 14, 19, 21, and 23 within one commercial line of Bos taurus.

S. Moore, J. Basarab, B. Benkel, 2004, Journal of animal science.

Genetic markers that influence feed efficiency phenotypes also affect cattle temperament as measured by flight speed.

H. Freetly, A. Lindholm-Perry, L. Kuehn, 2015, Animal genetics.

Assessment of Imputation from Low-Pass Sequencing to Predict Merit of Beef Steers

Joseph K. Pickrell, A. Lindholm-Perry, L. Kuehn, 2020, Genes.

Profile of the Spleen Transcriptome in Beef Steers with Variation in Gain and Feed Intake

H. Freetly, A. Lindholm-Perry, L. Kuehn, 2016, Front. Genet..

RNA-Seq Meta-analysis identifies genes in skeletal muscle associated with gain and intake across a multi-season study of crossbred beef steers

J. Keele, H. Freetly, A. Lindholm-Perry, 2018, BMC Genomics.

627. Genetic prediction for growth traits in beef cattle using selected variants from imputed low-pass sequence data

M. Spangler, L. Kuehn, W. Snelling, 2022, Proceeding of 12th World Congress on Genetics Applied to Livestock Production (WCGALP).

Comparison of molecular breeding values based on within- and across-breed training in beef cattle

Robert D Schnabel, G. L. Bennett, Matthew L Spangler, 2013, Genetics Selection Evolution.

Accuracy of genomic breeding values in multibreed beef cattle populations derived from deregressed breeding values and phenotypes.

Alison L. Van Eenennaam, G. L. Bennett, J. Keele, 2012, Journal of animal science.