Brief Summary of Minutes of Annual Meeting

Franscico Peñagaricano called to order as chair at 4:30pm

Brad Heins presented the secretaries report.

Introductions of participants and Guests.

Joe West gave a project report:

1) Impressed with number attending meeting and especially the number of graduate students.

2) Keep looking for new faculty for the project. Possible participants

James Koltes – Iowa State

Luis Brito – Purdue

Li Ma – University of Maryland

Thanks to Kent Weigel for hosting at Wisconsin

SCC84 was renewed this year.

Expired September 30, 2018

Renewed October 1, 2018 for 5 years September 30, 2023

Termination report is due 6 months from termination

March 31, 2019

Termination report includes: Impact Statement, All Publications, and Grants associated with the projects.

Everyone needs to make sure we move to new SCC84 project. Contract Ag Exp project personnel at our University to do that.

2019:

Chair- Brad Heins

Secretary – Christian Maltecca

Location – Pennsylvania

October 22-24, 2019

Lakshmi Matukumalli gave NIFA report

Respectfully submitted,

Brad Heins

Secretary SCC84

 

 

Objective 1. Share data and results from research on crossbreeding, inbreeding, and non-additive genetic effects in order to develop and recommend optimal mating strategies for commercial dairy producers

Major Accomplishments and Outcomes:

• Identification of genomic regions impacting inbreeding depression in US dairy cattle (Christian Maltecca, North Carolina State University)
• Development of Geno-Diver, a software designed to simulate complex traits with a quantitative and/or fitness component (Christian Maltecca, North Carolina State University)
• Assessment of genetic diversity and genomic inbreeding in Jersey and Guernsey dairy cattle (Heather Huson, Cornell University)
• Comparison of pure Holstein with Montbeliarde and Viking Red crossbreds (Leslie Hansen & Bradley Heins, University of Minnesota)
• Evaluation of crossbreeding in organic dairy farms (Bradley Heins, University of Minnesota; Chad Dechow, Pennsylvania State University)

Objective 2. Exchange research results that will allow for refinement of USDA economic merit indexes

Major Accomplishments and Outcomes:

• Refinement of economic selection indexes, including the incorporation of new traits (John Cole & Paul VanRaden, USDA)
• Economic assessment of genetic testing and alternative reproduction strategies (Albert De Vries, University of Florida)
• Evaluation of the effects of improving prediction of future cow performance on sire and calf selection decisions (Albert De Vries, University of Florida)
• Genomic evaluations using single-step GBLUP (Ignacy Misztal, University of Georgia)

Objective 3. Capture phenotypic data for novel and economically important traits to elucidate their genetic regulation and potential for genomic selection

Major Accomplishments and Outcomes:

• Genetic analysis of feed efficiency and related traits (Kent Weigel, University of Wisconsin; Chad Dechow, Pennsylvania State University; Rebecca Cockrum, Virginia Tech; Paul VanRaden, USDA)
• Identification of genetic mechanisms underlying mastitis resistance, and relationship to mammary microbiota (Heather Huson, Cornell University)
• Genetic analysis of digital cushion thickness (Heather Huson, Cornell University)
• Genetic regulation of ketosis (Heather Huson, Cornell University; Kent Weigel, University of Wisconsin; Rebecca Cockrum, Virginia Tech)
• Effects of dietary components on gene expression and rumen microbiome in preweaned dairy heifers (Rebecca Cockrum, Virginia Tech)
• Genetic analysis of calf health and mortality (Kent Weigel, University of Wisconsin)
• Development of national genetic evaluations for six postpartum disorders, namely mastitis, ketosis, milk fever, displaced abomasum, metritis, and retained placenta (John Cole & Paul VanRaden, USDA; Christian Maltecca, North Carolina State University)
• Development of a national genetic evaluation for gestation length (John Cole & Paul VanRaden, USDA)
• Evaluation of genotype by environment (climate) interaction (Christian Maltecca, North Carolina State University; Francisco Peñagaricano, University of Florida)
• Genetic dissection of dairy bull fertility: from fine mapping to genomic prediction (Francisco Peñagaricano, University of Florida)

Objective 4. Coordinate with the National Animal Germplasm Program Dairy Committee to optimize its dairy collection

Major Accomplishments and Outcomes:

• Recovery of a lost Holstein male lineage (Chad Dechow, Pennsylvania State University)

 

Effect of diet energy density and genomic residual feed intake on prebred dairy heifer feed efficiency, growth, and manure excretion.

Williams KT, Weigel KA, Coblentz WK, Esser NM, Schlesser H, Hoffman PC, Su H, Akins MS. J Dairy Sci. 2019 [Epub ahead of print]

Genetic Selection for Mastitis Resistance.

Weigel KA, Shook GE.Vet Clin North Am Food Anim Pract. 2018 Nov;34(3):457-472.

Genome-wide association analyses based on a multiple-trait approach for modeling feed efficiency.

Lu Y, Vandehaar MJ, Spurlock DM, Weigel KA, Armentano LE, Connor EE, Coffey M, Veerkamp RF, de Haas Y, Staples CR, Wang Z, Hanigan MD, Tempelman RJ. J Dairy Sci. 2018 Apr;101(4):3140-3154.

A 100-Year Review: Methods and impact of genetic selection in dairy cattle-From daughter-dam comparisons to deep learning algorithms.

Weigel KA, VanRaden PM, Norman HD, Grosu H. J Dairy Sci. 2017 Dec;100(12):10234-10250.

The genetic and biological basis of feed efficiency in mid-lactation Holstein dairy cows.

Hardie LC, VandeHaar MJ, Tempelman RJ, Weigel KA, Armentano LE, Wiggans GR, Veerkamp RF, de Haas Y, Coffey MP, Connor EE, Hanigan MD, Staples C, Wang Z, Dekkers JCM, Spurlock DM. J Dairy Sci. 2017 Nov;100(11):9061-9075.

Prediction of whole-genome risk for selection and management of hyperketonemia in Holstein dairy cattle.

Weigel KA, Pralle RS, Adams H, Cho K, Do C, White HM. J Anim Breed Genet. 2017 Jun;134(3):275-285.

Relationships between body condition score change, prior mid-lactation phenotypic residual feed intake, and hyperketonemia onset in transition dairy cows.

Rathbun FM, Pralle RS, Bertics SJ, Armentano LE, Cho K, Do C, Weigel KA, White HM.

J Dairy Sci. 2017 May;100(5):3685-3696.

Use of genotype × environment interaction model to accommodate genetic heterogeneity for residual feed intake, dry matter intake, net energy in milk, and metabolic body weight in dairy cattle.

Yao C, de Los Campos G, VandeHaar MJ, Spurlock DM, Armentano LE, Coffey M, de Haas Y, Veerkamp RF, Staples CR, Connor EE, Wang Z, Hanigan MD, Tempelman RJ, Weigel KA. J Dairy Sci. 2017 Mar;100(3):2007-2016.

Assessing genomic prediction accuracy for Holstein sires using bootstrap aggregation sampling and leave-one-out cross validation.

Mikshowsky AA, Gianola D, Weigel KA. J Dairy Sci. 2017 Jan;100(1):453-464.

Modeling genetic and nongenetic variation of feed efficiency and its partial relationships between component traits as a function of management and environmental factors.

Lu Y, Vandehaar MJ, Spurlock DM, Weigel KA, Armentano LE, Staples CR, Connor EE, Wang Z, Coffey M, Veerkamp RF, de Haas Y, Tempelman RJ. J Dairy Sci. 2017 Jan;100(1):412-427.

Semi-supervised learning for genomic prediction of novel traits with small reference populations: an application to residual feed intake in dairy cattle.

Yao C, Zhu X, Weigel KA. Genet Sel Evol. 2016 Nov 7;48(1):84.

Genome-wide association mapping and pathway analysis of leukosis incidence in a US Holstein cattle population.

Abdalla EA, Peñagaricano F, Byrem TM, Weigel KA, Rosa GJ. Anim Genet. 2016 Aug;47(4):395-407.

Improving reliability of genomic predictions for Jersey sires using bootstrap aggregation sampling.

Mikshowsky AA, Gianola D, Weigel KA. J Dairy Sci. 2016 May;99(5):3632-3645.

Short communication: Genetic correlation of bovine leukosis incidence with somatic cell score and milk yield in a US Holstein population.

Abdalla EA, Weigel KA, Byrem TM, Rosa GJM. J Dairy Sci. 2016 Mar;99(3):2005-2009.

Genetic parameters between feed-intake-related traits and conformation in 2 separate dairy populations--the Netherlands and United States.

Manzanilla-Pech CI, Veerkamp RF, Tempelman RJ, van Pelt ML, Weigel KA, VandeHaar M, Lawlor TJ, Spurlock DM, Armentano LE, Staples CR, Hanigan M, De Haas Y. J Dairy Sci. 2016 Jan;99(1):443-57.

An alternative approach to modeling genetic merit of feed efficiency in dairy cattle.

Lu Y, Vandehaar MJ, Spurlock DM, Weigel KA, Armentano LE, Staples CR, Connor EE, Wang Z, Bello NM, Tempelman RJ. J Dairy Sci. 2015 Sep;98(9):6535-51.

Using a family-based structure to detect the effects of genomic inbreeding on embryo viability in Holstein cattle.

Bjelland DW, Weigel KA, Coburn AD, Wilson RD. J Dairy Sci. 2015 Jul;98(7):4934-44.

Optimization of reproductive management programs using lift chart analysis and cost-sensitive evaluation of classification errors.

Shahinfar S, Guenther JN, Page CD, Kalantari AS, Cabrera VE, Fricke PM, Weigel KA. J Dairy Sci. 2015 Jun;98(6):3717-28.

Considerations when combining data from multiple nutrition experiments to estimate genetic parameters for feed efficiency.

Hardie LC, Armentano LE, Shaver RD, VandeHaar MJ, Spurlock DM, Yao C, Bertics SJ, Contreras-Govea FE, Weigel KA. J Dairy Sci. 2015 Apr;98(4):2727-37.

Heterogeneity in genetic and nongenetic variation and energy sink relationships for residual feed intake across research stations and countries.

Tempelman RJ, Spurlock DM, Coffey M, Veerkamp RF, Armentano LE, Weigel KA, de Haas Y, Staples CR, Connor EE, Lu Y, VandeHaar MJ. J Dairy Sci. 2015 Mar;98(3):2013-26.

Short communication: Use of single nucleotide polymorphism genotypes and health history to predict future phenotypes for milk production, dry matter intake, body weight, and residual feed intake in dairy cattle.

Yao C, Armentano LE, VandeHaar MJ, Weigel KA. J Dairy Sci. 2015 Mar;98(3):2027-32.

Prediction of genetic contributions to complex traits using whole genome sequencing data.

Yao C, Leng N, Weigel KA, Lee KE, Engelman CD, Meyers KJ. BMC Proc. 2014 Jun 17;8(Suppl 1): S68.

Applied animal genomics: results from the field.

Van Eenennaam AL, Weigel KA, Young AE, Cleveland MA, Dekkers JC. Annu Rev Anim Biosci. 2014 Feb; 2:105-39.

Meta-analysis of candidate gene effects using Bayesian parametric and non-parametric approaches.

Wu XL, Gianola D, Rosa GJ, Weigel KA. J Genomics. 2014 Jan 2; 2:1-19.

Enhancing genome-enabled prediction by bagging genomic BLUP.

Gianola D, Weigel KA, Krämer N, Stella A, Schön CC. PLoS One. 2014 Apr 10;9(4): e91693.

Short communication: genetic evaluation of stillbirth in US Brown Swiss and Jersey cattle.

Yao C, Weigel KA, Cole JB. J Dairy Sci. 2014;97(4):2474-80.

Imputation of genotypes from low density (50,000 markers) to high density (700,000 markers) of cows from research herds in Europe, North America, and Australasia using 2 reference populations.

Pryce JE, Johnston J, Hayes BJ, Sahana G, Weigel KA 2nd, McParland S, Spurlock D, Krattenmacher N, Spelman RJ, Wall E, Calus MP.

J Dairy Sci. 2014 Mar;97(3):1799-811.

Three-breed rotational crossbreds of Montbéliarde, Viking Red, and Holstein compared with Holstein cows for feed efficiency, income over feed cost, and residual feed intake.

Shonka-Martin BN, Heins BJ, Hansen LB. J Dairy Sci. 2019 Apr;102(4):3661-3673.

Three-breed rotational crossbreds of Montbéliarde, Viking Red, and Holstein compared with Holstein cows for dry matter intake, body traits, and production.

Shonka-Martin BN, Hazel AR, Heins BJ, Hansen LB. J Dairy Sci. 2019 Jan;102(1):871-882.

Effects of winter housing systems on production, economics, body weight, body condition score, and bedding cultures for organic dairy cows.

Heins BJ, Sjostrom LS, Endres MI, Carillo MR, King R, Moon RD, Sorge US. J Dairy Sci. 2019 Jan;102(1):706-714.

Relationships between protein and energy consumed from milk replacer and starter and calf growth and first-lactation production of Holstein dairy cows.

Rauba J, Heins BJ, Chester-Jones H, Diaz HL, Ziegler D, Linn J, Broadwater N. J Dairy Sci. 2019 Jan;102(1):301-310.

Enhancing the fatty acid profile of milk through forage-based rations, with nutrition modeling of diet outcomes.

Benbrook CM, Davis DR, Heins BJ, Latif MA, Leifert C, Peterman L, Butler G, Faergeman O, Abel-Caines S, Baranski M. Food Sci Nutr. 2018 Feb 28;6(3):681-700.

Evaluation of a commercial vacuum fly trap for controlling flies on organic dairy farms.

Kienitz MJ, Heins BJ, Moon RD. J Dairy Sci. 2018 May;101(5):4667-4675.

Technical note: Validation of an ear-tag accelerometer sensor to determine rumination, eating, and activity behaviors of grazing dairy cattle.

Pereira GM, Heins BJ, Endres MI. J Dairy Sci. 2018 Mar;101(3):2492-2495.

Fertility, survival, and conformation of Montbéliarde × Holstein and Viking Red × Holstein crossbred cows compared with pure Holstein cows during first lactation in 8 commercial dairy herds.

Hazel AR, Heins BJ, Hansen LB. J Dairy Sci. 2017 Nov;100(11):9447-9458.

Short communication: Verifying Holstein heifer heart girth to body weight prediction equations.

Heinrichs AJ, Heinrichs BS, Jones CM, Erickson PS, Kalscheur KF, Nennich TD, Heins BJ, Cardoso FC. J Dairy Sci. 2017 Oct;100(10):8451-8454.

Relationships between early-life growth, intake, and birth season with first-lactation performance of Holstein dairy cows.

Chester-Jones H, Heins BJ, Ziegler D, Schimek D, Schuling S, Ziegler B, de Ondarza MB, Sniffen CJ, Broadwater N. J Dairy Sci. 2017 May;100(5):3697-3704.

Production and calving traits of Montbéliarde × Holstein and Viking Red × Holstein cows compared with pure Holstein cows during first lactation in 8 commercial dairy herds.

Hazel AR, Heins BJ, Hansen LB. J Dairy Sci. 2017 May;100(5):4139-4149.

Growth, behavior, and economics of group-fed dairy calves fed once or twice daily in an organic production system.

Kienitz MJ, Heins BJ, Chester-Jones H. J Dairy Sci. 2017 Apr;100(4):3318-3325.

Short communication: Relationship of activity and rumination to abundance of pest flies among organically certified cows fed 3 levels of concentrate.

Sjostrom LS, Heins BJ, Endres MI, Moon RD, Paulson JC. J Dairy Sci. 2016 Dec;99(12):9942-9948.

Crossbreeding: implications for dairy cow fertility and survival.

Buckley F, Lopez-Villalobos N, Heins BJ. Animal. 2014 May;8 Suppl 1:122-33.

Production, fertility, survival, and body measurements of Montbéliarde-sired crossbreds compared with pure Holsteins during their first 5 lactations.

Hazel AR, Heins BJ, Seykora AJ, Hansen LB. J Dairy Sci. 2014;97(4):2512-25.

Comparison of peripartum metabolic status and postpartum health of Holstein and Montbéliarde-sired crossbred dairy cows.

Mendonça LG, Abade CC, da Silva EM, Litherland NB, Hansen LB, Hansen WP, Chebel RC. J Dairy Sci. 2014 Feb;97(2):805-18.

Symposium review: The genomic architecture of inbreeding: How homozygosity affects health and performance.

Baes CF, Makanjuola BO, Miglior F, Marras G, Howard JT, Fleming A, Maltecca C. J Dairy Sci. 2019 Mar;102(3):2807-2817.

Including gene networks to predict calving difficulty in Holstein, Brown Swiss and Jersey cattle.

Tiezzi F, Arceo ME, Cole JB, Maltecca C. BMC Genet. 2018 Apr 2;19(1):20.

Effect of genetic architecture on the prediction accuracy of quantitative traits in samples of unrelated individuals.

Morgante F, Huang W, Maltecca C, Mackay TFC. Heredity (Edinb). 2018 Jun;120(6):500-514.

Rumination time as a potential predictor of common diseases in high-productive Holstein dairy cows.

Moretti R, Biffani S, Tiezzi F, Maltecca C, Chessa S, Bozzi R. J Dairy Res. 2017 Nov;84(4):385-390.

Invited review: Inbreeding in the genomics era: Inbreeding, inbreeding depression, and management of genomic variability.

Howard JT, Pryce JE, Baes C, Maltecca C. J Dairy Sci. 2017 Aug;100(8):6009-6024.

Geno-Diver: A combined coalescence and forward-in-time simulator for populations undergoing selection for complex traits.

Howard JT, Tiezzi F, Pryce JE, Maltecca C. J Anim Breed Genet. 2017 Dec;134(6):553-563.

Genotype by environment (climate) interaction improves genomic prediction for production traits in US Holstein cattle.

Tiezzi F, de Los Campos G, Parker Gaddis KL, Maltecca C. J Dairy Sci. 2017 Mar;100(3):2042-2056.

Benchmarking dairy herd health status using routinely recorded herd summary data.

Parker Gaddis KL, Cole JB, Clay JS, Maltecca C. J Dairy Sci. 2016 Feb;99(2):1298-1314.

Investigation of regions impacting inbreeding depression and their association with the additive genetic effect for United States and Australia Jersey dairy cattle.

Howard JT, Haile-Mariam M, Pryce JE, Maltecca C. BMC Genomics. 2015 Oct 19; 16:813.

Causal relationships between milk quality and coagulation properties in Italian Holstein-Friesian dairy cattle.

Tiezzi F, Valente BD, Cassandro M, Maltecca C. Genet Sel Evol. 2015 May 13; 47:45.

Genomic prediction of disease occurrence using producer-recorded health data: a comparison of methods.

Parker Gaddis KL, Tiezzi F, Cole JB, Clay JS, Maltecca C. Genet Sel Evol. 2015 May 8; 47:41.

Accounting for trait architecture in genomic predictions of US Holstein cattle using a weighted realized relationship matrix.

Tiezzi F, Maltecca C. Genet Sel Evol. 2015 Apr 2; 47:24.

Characterizing homozygosity across United States, New Zealand and Australian Jersey cow and bull populations.

Howard JT, Maltecca C, Haile-Mariam M, Hayes BJ, Pryce JE. BMC Genomics. 2015 Mar 15; 16:187.

Short communication: Genomic selection for hoof lesions in first-parity US Holsteins.

Dhakal K, Tiezzi F, Clay JS, Maltecca C.

J Dairy Sci. 2015 May;98(5):3502-7.

A genome-wide association study for clinical mastitis in first parity US Holstein cows using single-step approach and genomic matrix re-weighting procedure.

Tiezzi F, Parker-Gaddis KL, Cole JB, Clay JS, Maltecca C. PLoS One. 2015 Feb 6;10(2): e0114919.

Inferring causal relationships between reproductive and metabolic health disorders and production traits in first-lactation US Holsteins using recursive models.

Dhakal K, Tiezzi F, Clay JS, Maltecca C. J Dairy Sci. 2015 Apr;98(4):2713-26.

Genomic selection for producer-recorded health event data in US dairy cattle.

Parker Gaddis KL, Cole JB, Clay JS, Maltecca C. J Dairy Sci. 2014 May;97(5):3190-9.

Udder and teat conformational risk factors for elevated somatic cell count and clinical mastitis in New York Holsteins.

Miles AM, McArt JAA, Leal Yepes FA, Stambuk CR, Virkler PD, Huson HJ. Prev Vet Med. 2019 Feb 1; 163:7-13.

Genomic evaluation, breed identification, and population structure of Guernsey cattle in North America, Great Britain, and the Isle of Guernsey.

Cooper TA, Eaglen SAE, Wiggans GR, Jenko J, Huson HJ, Morrice DR, Bichard M, Luff WGL, Woolliams JA. J Dairy Sci. 2016 Jul;99(7):5508-5515.

Genetic differentiation of Mexican Holstein cattle and its relationship with Canadian and U.S. Holsteins.

García-Ruiz A, Ruiz-López F, Van Tassell CP, Montaldo HH, Huson HJ. Front Genet. 2015 Feb 9; 6:7.

The SLICK hair locus derived from Senepol cattle confers thermotolerance to intensively managed lactating Holstein cows.

Dikmen S, Khan FA, Huson HJ, Sonstegard TS, Moss JI, Dahl GE, Hansen PJ. J Dairy Sci. 2014 Sep;97(9):5508-20.

Genome-wide association study and ancestral origins of the slick-hair coat in tropically adapted cattle.

Huson HJ, Kim ES, Godfrey RW, Olson TA, McClure MC, Chase CC, Rizzi R, O'Brien AM, Van Tassell CP, Garcia JF, Sonstegard TS. Front Genet. 2014 Apr 29; 5:101.

Varying dietary protein and fat elicits differential transcriptomic expression within stress response pathways in preweaned Holstein heifers.

Owens CE, Geiger AJ, Akers RM, Cockrum RR. J Dairy Sci. 2019 Feb;102(2):1630-1641.

Diet shifts provoke complex and variable changes in the metabolic networks of the ruminal microbiome.

Wolff SM, Ellison MJ, Hao Y, Cockrum RR, Austin KJ, Baraboo M, Burch K, Lee HJ, Maurer T, Patil R, Ravelo A, Taxis TM, Truong H, Lamberson WR, Cammack KM, Conant GC. Microbiome. 2017 Jun 8;5(1):60.

Genetic and epigenetic architecture of paternal origin contribute to gestation length in cattle.

Fang L, Jiang J, Li B, Zhou Y, Freebern E, Vanraden PM, Cole JB, Liu GE, Ma L. Commun Biol. 2019 Mar 14; 2:100.

Comparison of gene editing versus conventional breeding to introgress the POLLED allele into the US dairy cattle population.

Mueller ML, Cole JB, Sonstegard TS, Van Eenennaam AL. J Dairy Sci. 2019 Mar 6.

Array CGH-based detection of CNV regions and their potential association with reproduction and other economic traits in Holsteins.

Liu M, Fang L, Liu S, Pan MG, Seroussi E, Cole JB, Ma L, Chen H, Liu GE. BMC Genomics. 2019 Mar 7;20(1):181.

Comparative analyses of sperm DNA methylomes among human, mouse and cattle provide insights into epigenomic evolution and complex traits.

Fang L, Zhou Y, Liu S, Jiang J, Bickhart DM, Null DJ, Li B, Schroeder SG, Rosen BD, Cole JB, Van Tassell CP, Ma L, Liu GE. Epigenetics. 2019 Feb 27:1-17.

Calling known variants and identifying new variants while rapidly aligning sequence data.

VanRaden PM, Bickhart DM, O'Connell JR. J Dairy Sci. 2019 Apr;102(4):3216-3229.

Modeling pedigree accuracy and uncertain parentage in single-step genomic evaluations of simulated and US Holstein datasets.

Bradford HL, Masuda Y, Cole JB, Misztal I, VanRaden PM. J Dairy Sci. 2019 Mar;102(3):2308-2318.

Modeling missing pedigree in single-step genomic BLUP.

Bradford HL, Masuda Y, VanRaden PM, Legarra A, Misztal I. J Dairy Sci. 2019 Mar;102(3):2336-2346.

Symposium review: Genetics, genome-wide association study, and genetic improvement of dairy fertility traits.

Ma L, Cole JB, Da Y, VanRaden PM. J Dairy Sci. 2019 Apr;102(4):3735-3743.

Genetic and nongenetic profiling of milk pregnancy-associated glycoproteins in Holstein cattle.

Santos DJA, Cole JB, Null DJ, Byrem TM, Ma L.

J Dairy Sci. 2018 Nov;101(11):9987-10000.

 

Determination of quantitative trait nucleotides by concordance analysis between quantitative trait loci and marker genotypes of US Holsteins.

Weller JI, Bickhart DM, Wiggans GR, Tooker ME, O'Connell JR, Jiang J, Ron M, VanRaden PM. J Dairy Sci. 2018 Oct;101(10):9089-9107.

Differing genetic trend estimates from traditional and genomic evaluations of genotyped animals as evidence of preselection bias in US Holsteins.

Masuda Y, VanRaden PM, Misztal I, Lawlor TJ. J Dairy Sci. 2018 Jun;101(6):5194-5206.

Convergent Evolution of Slick Coat in Cattle through Truncation Mutations in the Prolactin Receptor.

Porto-Neto LR, Bickhart DM, Landaeta-Hernandez AJ, Utsunomiya YT, Pagan M, Jimenez E, Hansen PJ, Dikmen S, Schroeder SG, Kim ES, Sun J, Crespo E, Amati N, Cole JB, Null DJ, Garcia JF, Reverter A, Barendse W, Sonstegard TS. Front Genet. 2018 Feb 23; 9:57.

Invited review: Genetics and claw health: Opportunities to enhance claw health by genetic selection.

Heringstad B, Egger-Danner C, Charfeddine N, Pryce JE, Stock KF, Kofler J, Sogstad AM, Holzhauer M, Fiedler A, Müller K, Nielsen P, Thomas G, Gengler N, de Jong G, Ødegård C, Malchiodi F, Miglior F, Alsaaod M, Cole JB. J Dairy Sci. 2018 Jun;101(6):4801-4821.

Symposium review: Possibilities in an age of genomics: The future of selection indices.

Cole JB, VanRaden PM. J Dairy Sci. 2018 Apr;101(4):3686-3701.

Genotype imputation in a tropical crossbred dairy cattle population.

Oliveira Júnior GA, Chud TCS, Ventura RV, Garrick DJ, Cole JB, Munari DP, Ferraz JBS, Mullart E, DeNise S, Smith S, da Silva MVGB. J Dairy Sci. 2017 Dec;100(12):9623-9634.

Genomic evaluation of age at first calving.

Hutchison JL, VanRaden PM, Null DJ, Cole JB, Bickhart DM. J Dairy Sci. 2017 Aug;100(8):6853-6861.

Dissection of additive, dominance, and imprinting effects for production and reproduction traits in Holstein cattle.

Jiang J, Shen B, O'Connell JR, VanRaden PM, Cole JB, Ma L. BMC Genomics. 2017 May 30;18(1):425.

Economic considerations of breeding for polled dairy cows versus dehorning in the United States.

Thompson NM, Widmar NO, Schutz MM, Cole JB, Wolf CA. J Dairy Sci. 2017 Jun;100(6):4941-4952.

A single nucleotide polymorphism in COQ9 affects mitochondrial and ovarian function and fertility in Holstein cows.

Ortega MS, Wohlgemuth S, Tribulo P, Siqueira LG, Cole JB, Hansen PJ. Biol Reprod. 2017 Mar 1;96(3):652-663.

Single nucleotide variants and InDels identified from whole-genome re-sequencing of Guzerat, Gyr, Girolando and Holstein cattle breeds.

Stafuzza NB, Zerlotini A, Lobo FP, Yamagishi ME, Chud TC, Caetano AR, Munari DP, Garrick DJ, Machado MA, Martins MF, Carvalho MR, Cole JB, Barbosa da Silva MV.

PLoS One. 2017 Mar 21;12(3): e0173954.

Selecting sequence variants to improve genomic predictions for dairy cattle.

VanRaden PM, Tooker ME, O'Connell JR, Cole JB, Bickhart DM. Genet Sel Evol. 2017 Mar 7;49(1):32.

Association of single nucleotide polymorphisms in candidate genes previously related to genetic variation in fertility with phenotypic measurements of reproductive function in Holstein cows.

Ortega MS, Denicol AC, Cole JB, Null DJ, Taylor JF, Schnabel RD, Hansen PJ. J Dairy Sci. 2017 May;100(5):3725-3734.

Evaluation of genetic components in traits related to superovulation, in vitro fertilization, and embryo transfer in Holstein cattle.

Parker Gaddis KL, Dikmen S, Null DJ, Cole JB, Hansen PJ. J Dairy Sci. 2017 Apr;100(4):2877-2891.

Genomic Selection in Dairy Cattle: The USDA Experience.

Wiggans GR, Cole JB, Hubbard SM, Sonstegard TS. Annu Rev Anim Biosci. 2017 Feb 8; 5:309-327.

Phenotypic and genetic effects of recessive haplotypes on yield, longevity, and fertility.

Cole JB, Null DJ, VanRaden PM. J Dairy Sci. 2016 Sep;99(9):7274-7288.

Invited review: Opportunities for genetic improvement of metabolic diseases.

Pryce JE, Parker Gaddis KL, Koeck A, Bastin C, Abdelsayed M, Gengler N, Miglior F, Heringstad B, Egger-Danner C, Stock KF, Bradley AJ, Cole JB. J Dairy Sci. 2016 Sep;99(9):6855-6873.

Changes in genetic selection differentials and generation intervals in US Holstein dairy cattle as a result of genomic selection.

García-Ruiz A, Cole JB, VanRaden PM, Wiggans GR, Ruiz-López FJ, Van Tassell CP. Proc Natl Acad Sci U S A. 2016 Jul 12;113(28): E3995-4004.

Identification of a nonsense mutation in APAF1 that is likely causal for a decrease in reproductive efficiency in Holstein dairy cattle.

Adams HA, Sonstegard TS, VanRaden PM, Null DJ, Van Tassell CP, Larkin DM, Lewin HA. J Dairy Sci. 2016 Aug;99(8):6693-6701.

Explorations in genome-wide association studies and network analyses with dairy cattle fertility traits.

Parker Gaddis KL, Null DJ, Cole JB. J Dairy Sci. 2016 Aug;99(8):6420-6435.

Reducing animal sequencing redundancy by preferentially selecting animals with low-frequency haplotypes.

Bickhart DM, Hutchison JL, Null DJ, VanRaden PM, Cole JB. J Dairy Sci. 2016 Jul;99(7):5526-5534.

Diversity and population-genetic properties of copy number variations and multicopy genes in cattle.

Bickhart DM, Xu L, Hutchison JL, Cole JB, Null DJ, Schroeder SG, Song J, Garcia JF, Sonstegard TS, Van Tassell CP, Schnabel RD, Taylor JF, Lewin HA, Liu GE. DNA Res. 2016 Jun;23(3):253-62.

Increasing the number of single nucleotide polymorphisms used in genomic evaluation of dairy cattle.

Wiggans GR, Cooper TA, VanRaden PM, Van Tassell CP, Bickhart DM, Sonstegard TS. J Dairy Sci. 2016 Jun;99(6):4504-4511.

Use of single nucleotide polymorphisms in candidate genes associated with daughter pregnancy rate for prediction of genetic merit for reproduction in Holstein cows.

Ortega MS, Denicol AC, Cole JB, Null DJ, Hansen PJ. Anim Genet. 2016 Jun;47(3):288-97.

Practical implications for genetic modeling in the genomics era.

VanRaden PM. J Dairy Sci. 2016 Mar;99(3):2405-2412.

A simple strategy for managing many recessive disorders in a dairy cattle breeding program.

Cole JB. Genet Sel Evol. 2015 Nov 30; 47:94.

Cattle Sex-Specific Recombination and Genetic Control from a Large Pedigree Analysis.

Ma L, O'Connell JR, VanRaden PM, Shen B, Padhi A, Sun C, Bickhart DM, Cole JB, Null DJ, Liu GE, Da Y, Wiggans GR. PLoS Genet. 2015 Nov 5;11(11): e1005387.

Single nucleotide polymorphisms associated with thermoregulation in lactating dairy cows exposed to heat stress.

Dikmen S, Wang XZ, Ortega MS, Cole JB, Null DJ, Hansen PJ. J Anim Breed Genet. 2015 Dec;132(6):409-19.

Fast imputation using medium or low-coverage sequence data.

VanRaden PM, Sun C, O'Connell JR. BMC Genet. 2015 Jul 14; 16:82.

Short communication: Improving accuracy of Jersey genomic evaluations in the United States and Denmark by sharing reference population bulls.

Wiggans GR, Su G, Cooper TA, Nielsen US, Aamand GP, Guldbrandtsen B, Lund MS, VanRaden PM. J Dairy Sci. 2015 May;98(5):3508-13.

Assessment of autozygosity in Nellore cows (Bos indicus) through high-density SNP genotypes.

Zavarez LB, Utsunomiya YT, Carmo AS, Neves HH, Carvalheiro R, Ferenčaković M, Pérez O'Brien AM, Curik I, Cole JB, Van Tassell CP, da Silva MV, Sonstegard TS, Sölkner J, Garcia JF. Front Genet. 2015 Jan 29; 6:5.

Short communication: Analysis of genomic predictor population for Holstein dairy cattle in the United States--Effects of sex and age.

Cooper TA, Wiggans GR, VanRaden PM. J Dairy Sci. 2015 Apr;98(4):2785-8.

Technical note: Rapid calculation of genomic evaluations for new animals.

Wiggans GR, VanRaden PM, Cooper TA. J Dairy Sci. 2015 Mar;98(3):2039-42.

Genomic signatures reveal new evidences for selection of important traits in domestic cattle.

Xu L, Bickhart DM, Cole JB, Schroeder SG, Song J, Tassell CP, Sonstegard TS, Liu GE. Mol Biol Evol. 2015 Mar;32(3):711-25.

Invited review: overview of new traits and phenotyping strategies in dairy cattle with a focus on functional traits.

Egger-Danner C, Cole JB, Pryce JE, Gengler N, Heringstad B, Bradley A, Stock KF. Animal. 2015 Feb;9(2):191-207.

Comparison of single-trait to multi-trait national evaluations for yield, health, and fertility.

VanRaden PM, Tooker ME, Wright JR, Sun C, Hutchison JL. J Dairy Sci. 2014 Dec;97(12):7952-62.

Genome wide CNV analysis reveals additional variants associated with milk production traits in Holsteins.

Xu L, Cole JB, Bickhart DM, Hou Y, Song J, VanRaden PM, Sonstegard TS, Van Tassell CP, Liu GE. BMC Genomics. 2014 Aug 15; 15:683.

Improvement of prediction ability for genomic selection of dairy cattle by including dominance effects.

Sun C, VanRaden PM, Cole JB, O'Connell JR. PLoS One. 2014 Aug 1;9(8): e103934.

Development of a Lifetime Merit-based selection index for US dairy grazing systems.

Gay KD, Widmar NJ, Nennich TD, Schinckel AP, Cole JB, Schutz MM. J Dairy Sci. 2014 Jul;97(7):4568-78.

Genome-wide association study of reproductive efficiency in female cattle.

McDaneld TG, Kuehn LA, Thomas MG, Snelling WM, Smith TP, Pollak EJ, Cole JB, Keele JW. J Anim Sci. 2014 May;92(5):1945-57.

Genomic evaluation, breed identification, and discovery of a haplotype affecting fertility for Ayrshire dairy cattle.

Cooper TA, Wiggans GR, Null DJ, Hutchison JL, Cole JB. J Dairy Sci. 2014;97(6):3878-82.

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.

McClure MC, Bickhart D, Null D, Vanraden P, Xu L, Wiggans G, Liu G, Schroeder S, Glasscock J, Armstrong J, Cole JB, Van Tassell CP, Sonstegard TS. PLoS One. 2014 Mar 25;9(3): e92769.

Short communication: Use of young bulls in the United States.

Hutchison JL, Cole JB, Bickhart DM. J Dairy Sci. 2014 May;97(5):3213-20.

A genome-wide association study of calf birth weight in Holstein cattle using single nucleotide polymorphisms and phenotypes predicted from auxiliary traits.

Cole JB, Waurich B, Wensch-Dorendorf M, Bickhart DM, Swalve HH. J Dairy Sci. 2014 May;97(5):3156-72

Increasing long-term response by selecting for favorable minor alleles.

Sun C, VanRaden PM. PLoS One. 2014 Feb 5;9(2): e88510.

Predicting male fertility in dairy cattle using markers with large effect and functional annotation data.

Nani JP, Rezende FM, Peñagaricano F. BMC Genomics. 2019 Apr 2;20(1):258.

Genomic prediction of bull fertility in US Jersey dairy cattle.

Rezende FM, Nani JP, Peñagaricano F. J Dairy Sci. 2019 Apr;102(4):3230-3240.

Gene Mapping and Gene-Set Analysis for Milk Fever Incidence in Holstein Dairy Cattle.

Pacheco HA, da Silva S, Sigdel A, Mak CK, Galvão KN, Texeira RA, Dias LT, Peñagaricano F. Front Genet. 2018 Oct 10; 9:465.

In Utero Heat Stress Alters the Offspring Epigenome.

Skibiel AL, Peñagaricano F, Amorín R, Ahmed BM, Dahl GE, Laporta J. Sci Rep. 2018 Oct 2;8(1):14609.

Epidemiologic and economic analyses of pregnancy loss attributable to mastitis in primiparous Holstein cows.

Dahl MO, De Vries A, Maunsell FP, Galvao KN, Risco CA, Hernandez JA. J Dairy Sci. 2018 Nov;101(11):10142-10150.

Genetic dissection of bull fertility in US Jersey dairy cattle.

Rezende FM, Dietsch GO, Peñagaricano F. Anim Genet. 2018 Oct;49(5):393-402.

RNA-Seq reveals novel genes and pathways involved in bovine mammary involution during the dry period and under environmental heat stress.

Dado-Senn B, Skibiel AL, Fabris TF, Zhang Y, Dahl GE, Peñagaricano F, Laporta J. Sci Rep. 2018 Jul 23;8(1):11096.

Whole-genome scan reveals significant non-additive effects for sire conception rate in Holstein cattle.

Nicolini P, Amorín R, Han Y, Peñagaricano F. BMC Genet. 2018 Feb 27;19(1):14.

Economic and genetic performance of various combinations of in vitro-produced embryo transfers and artificial insemination in a dairy herd.

Kaniyamattam K, Block J, Hansen PJ, De Vries A. J Dairy Sci. 2018 Feb;101(2):1540-1553.

Impact of applying sex sorted semen on the selection proportion of the sire of dams selection pathway in a nucleus program.

Joezy-Shekalgorabi S, De Vries A. Asian-Australas J Anim Sci. 2018 Sep;31(9):1387-1392.

Predicting bull fertility using genomic data and biological information.

Abdollahi-Arpanahi R, Morota G, Peñagaricano F. J Dairy Sci. 2017 Dec;100(12):9656-9666.

Evidence that mastitis can cause pregnancy loss in dairy cows: A systematic review of observational studies.

Dahl MO, Maunsell FP, De Vries A, Galvao KN, Risco CA, Hernandez JA. J Dairy Sci. 2017 Oct;100(10):8322-8329.

Season of conception is associated with future survival, fertility, and milk yield of Holstein cows.

Pinedo PJ, De Vries A. J Dairy Sci. 2017 Aug;100(8):6631-6639.

Comparison between an exclusive in vitro-produced embryo transfer system and artificial insemination for genetic, technical, and financial herd performance.

Kaniyamattam K, Block J, Hansen PJ, De Vries A. J Dairy Sci. 2017 Jul;100(7):5729-5745.

Economic trade-offs between genetic improvement and longevity in dairy cattle.

De Vries A. J Dairy Sci. 2017 May;100(5):4184-4192.

Unravelling the genomic architecture of bull fertility in Holstein cattle.

Han Y, Peñagaricano F. BMC Genet. 2016 Nov 14;17(1):143.

Economic feasibility of cooling dry cows across the United States.

Ferreira FC, Gennari RS, Dahl GE, De Vries A. J Dairy Sci. 2016 Dec;99(12):9931-9941.

Stochastic dynamic simulation modeling including multi-trait genetics to estimate genetic, technical, and financial consequences of dairy farm reproduction and selection strategies.

Kaniyamattam K, Elzo MA, Cole JB, De Vries A. J Dairy Sci. 2016 Oct;99(10):8187-8202.

Bayesian integration of sensor information and a multivariate dynamic linear model for prediction of dairy cow mastitis.

Jensen DB, Hogeveen H, De Vries A. J Dairy Sci. 2016 Sep;99(9):7344-7361.

Genome-wide association mapping and pathway analysis of leukosis incidence in a US Holstein cattle population.

Abdalla EA, Peñagaricano F, Byrem TM, Weigel KA, Rosa GJ. Anim Genet. 2016 Aug;47(4):395-407.

Economic evaluation of stall stocking density of lactating dairy cows.

De Vries A, Dechassa H, Hogeveen H. J Dairy Sci. 2016 May;99(5):3848-3857.

Effects of season and herd milk volume on somatic cell counts of Florida dairy farms.

Ferreira FC, De Vries A. J Dairy Sci. 2015 Jun;98(6):4182-97.

A study of methods for evaluating the success of the transition period in early-lactation dairy cows.

Lukas JM, Reneau JK, Wallace RL, De Vries A. J Dairy Sci. 2015 Jan;98(1):250-62.

Effect of delayed breeding during the summer on profitability of dairy cows.

Gobikrushanth M, De Vries A, Santos JE, Risco CA, Galvão KN. J Dairy Sci. 2014 Jul;97(7):4236-46.

Estimation of regional genetic parameters for mortality and 305-d milk yield of US Holsteins in the first 3 parities.

Tokuhisa K, Tsuruta S, De Vries A, Bertrand JK, Misztal I. J Dairy Sci. 2014 Jul;97(7):4497-502.

Agreement between milk fat, protein, and lactose observations collected from the Dairy Herd Improvement Association (DHIA) and a real-time milk analyzer.

Kaniyamattam K, De Vries A. J Dairy Sci. 2014 May;97(5):2896-908.

Dynamics of culling for Jersey, Holstein, and Jersey × Holstein crossbred cows in large multibreed dairy herds.

Pinedo PJ, Daniels A, Shumaker J, De Vries A. J Dairy Sci. 2014 May;97(5):2886-95.

International bull evaluations by genomic BLUP with a prediction population.

Fragomeni B, Masuda Y, Bradford HL, Lourenco DAL, Misztal I. J Dairy Sci. 2019 Mar;102(3):2330-2335.

Application of single-step genomic evaluation using multiple-trait random regression test-day models in dairy cattle.

Oliveira HR, Lourenco DAL, Masuda Y, Misztal I, Tsuruta S, Jamrozik J, Brito LF, Silva FF, Schenkel FS. J Dairy Sci. 2019 Mar;102(3):2365-2377.

Genetics and genomics of reproductive disorders in Canadian Holstein cattle.

Guarini AR, Lourenco DAL, Brito LF, Sargolzaei M, Baes CF, Miglior F, Misztal I, Schenkel FS. J Dairy Sci. 2019 Feb;102(2):1341-1353.

Bias in heritability estimates from genomic restricted maximum likelihood methods under different genotyping strategies.

Cesarani A, Pocrnic I, Macciotta NPP, Fragomeni BO, Misztal I, Lourenco DAL. J Anim Breed Genet. 2019 Jan;136(1):40-50.

Comparison of genomic predictions for lowly heritable traits using multi-step and single-step genomic best linear unbiased predictor in Holstein cattle.

Guarini AR, Lourenco DAL, Brito LF, Sargolzaei M, Baes CF, Miglior F, Misztal I, Schenkel FS.

J Dairy Sci. 2018 Sep;101(9):8076-8086.

Incorporation of causative quantitative trait nucleotides in single-step GBLUP.

Fragomeni BO, Lourenco DAL, Masuda Y, Legarra A, Misztal I. Genet Sel Evol. 2017 Jul 26;49(1):59.

Genomic analysis of cow mortality and milk production using a threshold-linear model.

Tsuruta S, Lourenco DAL, Misztal I, Lawlor TJ. J Dairy Sci. 2017 Sep;100(9):7295-7305.

Selection of core animals in the Algorithm for Proven and Young using a simulation model.

Bradford HL, Pocrnić I, Fragomeni BO, Lourenco DAL, Misztal I.

J Anim Breed Genet. 2017 Dec;134(6):545-552.

Accuracy of breeding values in small genotyped populations using different sources of external information-A simulation study.

Andonov S, Lourenco DAL, Fragomeni BO, Masuda Y, Pocrnic I, Tsuruta S, Misztal I. J Dairy Sci. 2017 Jan;100(1):395-401.

Metafounders are related to Fst fixation indices and reduce bias in single-step genomic evaluations.

Garcia-Baccino CA, Legarra A, Christensen OF, Misztal I, Pocrnic I, Vitezica ZG, Cantet RJ. Genet Sel Evol. 2017 Mar 10;49(1):34.

Invited review: efficient computation strategies in genomic selection.

Misztal I, Legarra A. Animal. 2017 May;11(5):731-736.

Dimensionality of genomic information and performance of the Algorithm for Proven and Young for different livestock species.

Pocrnic I, Lourenco DA, Masuda Y, Misztal I. Genet Sel Evol. 2016 Oct 31;48(1):82.

Weighting Strategies for Single-Step Genomic BLUP: An Iterative Approach for Accurate Calculation of GEBV and GWAS.

Zhang X, Lourenco D, Aguilar I, Legarra A, Misztal I. Front Genet. 2016 Aug 19; 7:151.

Is genomic selection now a mature technology?

Misztal I. J Anim Breed Genet. 2016 Apr;133(2):81-2.

The Dimensionality of Genomic Information and Its Effect on Genomic Prediction.

Pocrnic I, Lourenco DA, Masuda Y, Legarra A, Misztal I. Genetics. 2016 May;203(1):573-81.

Implementation of genomic recursions in single-step genomic best linear unbiased predictor for US Holsteins with a large number of genotyped animals.

Masuda Y, Misztal I, Tsuruta S, Legarra A, Aguilar I, Lourenco DAL, Fragomeni BO, Lawlor TJ. J Dairy Sci. 2016 Mar;99(3):1968-1974.

Inexpensive Computation of the Inverse of the Genomic Relationship Matrix in Populations with Small Effective Population Size.

Misztal I. Genetics. 2016 Feb;202(2):401-9.

Genotype by environment interactions on culling rates and 305-day milk yield of Holstein cows in 3 US regions.

Tsuruta S, Lourenco DA, Misztal I, Lawlor TJ. J Dairy Sci. 2015 Aug;98(8):5796-805.

Ancestral Relationships Using Metafounders: Finite Ancestral Populations and Across Population Relationships.

Legarra A, Christensen OF, Vitezica ZG, Aguilar I, Misztal I. Genetics. 2015 Jun;200(2):455-68.

Hot topic: Use of genomic recursions in single-step genomic best linear unbiased predictor (BLUP) with a large number of genotypes.

Fragomeni BO, Lourenco DA, Tsuruta S, Masuda Y, Aguilar I, Legarra A, Lawlor TJ, Misztal I. J Dairy Sci. 2015 Jun;98(6):4090-4.

Use of genomic recursions and algorithm for proven and young animals for single-step genomic BLUP analyses--a simulation study.

Fragomeni BO, Lourenco DA, Tsuruta S, Masuda Y, Aguilar I, Misztal I. J Anim Breed Genet. 2015 Oct;132(5):340-5.

Assigning unknown parent groups to reduce bias in genomic evaluations of final score in US Holsteins.

Tsuruta S, Misztal I, Lourenco DA, Lawlor TJ. J Dairy Sci. 2014 Sep;97(9):5814-21.

Estimation of regional genetic parameters for mortality and 305-d milk yield of US Holsteins in the first 3 parities.

Tokuhisa K, Tsuruta S, De Vries A, Bertrand JK, Misztal I. J Dairy Sci. 2014 Jul;97(7):4497-502.

Using recursion to compute the inverse of the genomic relationship matrix.

Misztal I, Legarra A, Aguilar I. J Dairy Sci. 2014;97(6):3943-52.

Are evaluations on young genotyped animals benefiting from the past generations?

Lourenco DA, Misztal I, Tsuruta S, Aguilar I, Lawlor TJ, Forni S, Weller JI. J Dairy Sci. 2014;97(6):3930-42.

Methods for genomic evaluation of a relatively small genotyped dairy population and effect of genotyped cow information in multiparity analyses.

Lourenco DA, Misztal I, Tsuruta S, Aguilar I, Ezra E, Ron M, Shirak A, Weller JI. J Dairy Sci. 2014 Mar;97(3):1742-52.

Annual rhythms of milk and milk fat and protein production in dairy cattle in the United States.

Salfer IJ, Dechow CD, Harvatine KJ. J Dairy Sci. 2019 Jan;102(1):742-753.

DNA methylation patterns in peripheral blood mononuclear cells from Holstein cattle with variable milk yield.

Dechow CD, Liu WS. BMC Genomics. 2018 Oct 11;19(1):744.

Invited review: Learning from the future - A vision for dairy farms and cows in 2067.

Britt JH, Cushman RA, Dechow CD, Dobson H, Humblot P, Hutjens MF, Jones GA, Ruegg PS, Sheldon IM, Stevenson JS. J Dairy Sci. 2018 May;101(5):3722-3741.

Short communication: Genetic lag represents commercial herd genetic merit more accurately than the 4-path selection model.

Dechow CD, Rogers GW. J Dairy Sci. 2018 May;101(5):4312-4316.

Short communication: Two dominant paternal lineages for North American Jersey artificial insemination sires.

Dechow CD, Liu WS, Idun JS, Maness B. J Dairy Sci. 2018 Mar;101(3):2281-2284.

Genetic parameters for yield, fitness, and type traits in US Brown Swiss dairy cattle.

Gibson KD, Dechow CD. J Dairy Sci. 2018 Feb;101(2):1251-1257.

Blood plasma traits associated with genetic merit for feed utilization in Holstein cows.

Dechow CD, Baumrucker CR, Bruckmaier RM, Blum JW. J Dairy Sci. 2017 Oct;100(10):8232-8238.

Mammary immunoglobulin transfer rates following prepartum milking.

Baumrucker CR, Dechow CD, Macrina AL, Gross JJ, Bruckmaier RM. J Dairy Sci. 2016 Nov;99(11):9254-9262.

Association of calf growth traits with production characteristics in dairy cattle.

Van De Stroet DL, Calderón Díaz JA, Stalder KJ, Heinrichs AJ, Dechow CD. J Dairy Sci. 2016 Oct;99(10):8347-8355.

Quarter variation and correlations of colostrum albumin, immunoglobulin G1 and G2 in dairy cows.

Samarütel J, Baumrucker CR, Gross JJ, Dechow CD, Bruckmaier RM. J Dairy Res. 2016 May;83(2):209-18.

Within-milking variation in milk composition and fatty acid profile of Holstein dairy cows.

Rico DE, Marshall ER, Choi J, Kaylegian KE, Dechow CD, Harvatine KJ.

J Dairy Sci. 2014 Jul;97(7):4259-68.