U.S. flagAn official website of the United States government
                    Here's how you know **Official websites use .gov**
                            
                            A **.gov** website belongs to an official government organization in the United States.
 **Secure .gov websites use HTTPS**
                            
                            A **lock** (                            
                              A locked padlock                                                      
                            
                            ) or **https://** means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.


Menu Agricultural Research Service
						
                    U.S. DEPARTMENT OF AGRICULTURE
 Animal Genomics and Improvement Laboratory: Beltsville, MD
 close



    Research

                    Research Projects
                                    Publications
                                    Collaborations
                                    News
                                    Software
                People

                    Staff Listing
                                    Careers


        


                    AIP
                        Home
                                    About
                                    Publications
                                    Software
                                    People
                                    Collaborations
                                    Careers
                                    Centennial
                                    Contact
                                    Dairy industry links
                    DirectionsSearch small
                    Search
            
            ARS Home
                                About ARS
                                Contact Us




ARS Home Northeast Area Beltsville, Maryland (BARC) Beltsville Agricultural Research Center Animal Genomics and Improvement Laboratory AIP Publications





- ARS National Programs
- Search for a scientific manuscript
- Search for a research project
- ARS Software
- Programs and Projects
- Collaborations
- Subjects of Investigation
- Publications
- Home
- About
- Publications
- Software
- People
- Collaborations
- Careers
- Centennial
- Contact
- Dairy industry links
- Home
- Queries login
- News
- Animal Evaluation lists
- Genotype counts

Presentations 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014| 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 | 2000 | 1999 |  2024 **ADSA Annual Meeting, West Palm Beach, Florida, June 2024**Miles, Asha. The value of a national evaluation system in promoting dairy sustainability****Null, Dan.Improved tracking of recent mutations within common haplotypes causing cholesterol deficiency, muscle weakness, and BLIRD[poster presentation]O’Connell, Jeff.Genetic and genomic evaluations of milking speed and duration from automated milk recordingToghiani, Sajjad. Validation of genomic prediction for economic traits in heifers across five U.S. dairy breedsVanRaden, Paul. Comparison of genomic merit, pedigree completeness, inbreeding, and relationships of genotyped animals across continents **ICAR-Interbull Joint Meeting, Bled, Slovenia, May 2024**Miles, Asha.Proposing a new U.S. dairy herd Sustainability metrics platformMiles, Asha.Genetic & genomic evaluations of quantitative milking speed phenotypesVanRaden, Paul. Breeding programs compared across countries, continents, and breeds **2024 Arthur B. Chapman Lecturer in Animal Breeding and Genetics, University of Wisconsin, April 2024**VanRaden, Paul.Improving progress across generations of cows, farmers, and scientists. **[Recorded talk]**. AB Chapman Lecture. VanRaden, Paul.Animal breeding lessons and skills are useful across many decades. Animal Science Lecture. **Transforming Agriculture Webinar Series, April 2024**VanRaden, Paul.****Genomic tools for animal breeding **National Dairy Herd Information Association Annual Meeting, Louisiana, March 2024**Miles, Asha. AGIL Report 2024 - Milking Speed, Herd-Level Sustainability Metric & Other AGIL News 2023 **CDCB Industry Meeting at World Dairy Expo, Madison, Wisconsin, October 2023**Miles, Asha.AGIL Report 2023 - Milking Speed, Cloning, Age-Season-Parity Factors, & Planned Research **Interbull Annual Meeting,Lyon, France, August 2023**VanRaden, Paul.Modeling identical animals and clones in genetic evaluationsVanRaden, Paul.Validation Working Group report **ADSA Annual Meeting, Ottawa, Canada, June 2023**Al-Khudhair, Ahmed. Haplotype inheritance and livability of recumbent Holstein calves [poster presentation]Miles, Asha. Standardizing lactation yields from national data with age-parity-season-region corrections for fair comparisons across individual cows & environmentsO’Connell, Jeff.Imputed gene tests for all animalsVanRaden, Paul.Combined effects of milking intervals and frequencies **ICAR Meeting, Toledo, Spain, May 2023**Miles, Asha. System and biological effects on quantitative milking speed phenotypes from inline milk meters **National Dairy Herd Information Association Annual Meeting, Sacramento, California, March 2023**Miles, Asha.AGIL update 2023 - Milking speed, factors project, & a lot of other interesting stuff 2022 VanRaden, Paul. 100 year celebration of A matrix (Sewall Wright) **National Dairy Herd Improvement Association Annual Meeting, San Antonio, Texas, February 2022**Miles, Asha. Frontiers in Animal Breeding and Genetics **National Mastitis Council Annual Meeting, San Diego, California, February 2022**Miles, Asha. Mastering Mastitis: How genetics can help & where we go from here **ICAR-Interbull Joint Meeting, Montreal, Canada, May 2022**Miles, Asha. Considerations in using quantitative measurements of milking speed for genetic evaluations for all dairy breeds in the USA ADSA Annual Meeting (Hybrid), Kansas City, Missouri, June 2022 
 The increasing popularity of embryo transfer has implications for US dairy cattle fertility evaluations  
 Improved, expanded, and automated ancestor discovery 
 Download w/audio  
 Phenotypic and geno typic impact of milk components and bodyweight composite on dry matter intake. 
 Download slides w/audio  
 Flexible testing and use of milk-only records
 ASAS-CSAS Annual Meeting, Oklahoma City, Oklahoma, June 2022
 Sustainable Dairy Breeding: Working within the US National Evaluation System
 **12th World Congress on Genetics Applied to Livestock Production, Rotterdam, Netherlands, July 2022**Miles, Asha. The increasing popularity of embryo transfer has implications for US dairy cattle fertility evaluationsVanRaden, Paul. Recent advances and future needs in genotype imputation.Download slides w/audio CDCB Industry Meeting at World Dairy Expo, Madison Wisconsin, October 2022
 AGIL Update 2022: Research happenings in the last year
 Bair Ranch Seminar Series at Montana State University, Bozeman, Montana, November 2022  Beef on Dairy: Current use, outcomes, and implications for genetic evaluations
 2021 **SCC-084 Multistate Meeting, October 2021**Miles, Asha. USDA AGIL Station Report **NDHIA Board Meeting, August 2021**Miles, Asha. USDA AGIL research updates: Improving dairy animals by increasing accuracy of genomic prediction, evaluating new traits, and redefining selection goals[Updated version from December 2021 NDHIA Board Meeting] **ADSA Virtual Meeting, July 2021**Al-Khudhair, Ahmed. Inheritance of a mutation causing Jersey neuropathy with splayed forelimbs. Download slides w/audioNani, Juan. Accounting for X chromosome and allele frequencies in genomic inbreeding estimation. Download slides w/videoNeupane, Mahesh. Genetic and genomic evaluation of late term abortion recorded through Dairy Herd Improvement test plans. Download slides w/audioToghiani, Sajjad. Phenotypic and genotypic impact of milk components and body weight composite on dry matter intake [not presented because of a technical error]. Abstract **Council on Dairy Cattle Breeding "Deep Dive into Net Merit 2021" webinar, June 2021**VanRaden, Paul. 2021 revision of the net merit index **Interbull Annual Meeting, April 2021**Biffani, Stefano. Improving the model for genetic evaluation of calving traits in the US Holstein and Brown Swiss Burchard, Javier. Improving dairy feed efficiency, sustainability, and profitability by impacting farmer's breeding and culling decisionsCesarani, Alberto. Multi-breed genomic evaluation for dairy cattle in the US using single-step GBLUPLourenco, Daniela. Single-step genomic predictions for yield traits in US Holsteins with UPG and phenotype-pedigree truncationMota, Rodrigo. Use of international clinical mastitis as independent trait in the USA evaluation system Parker Gaddis, Kristen. Implementation of Feed Saved evaluations in the U.S.Toghiani, Sajjad. National index correlations and expected vs. actual use of foreign siresVanRaden, Paul. Improved genomic validation with extra regressions Download slides w/audioWiggans, George. Genomic evaluation of crossbred dairy cattle in the United States **Dairy Cattle Reproduction Council webinar, March 2021**Cole, John. Dairy cattle fertility after 12 years of genomic selection: Lessons learned, current applications, and future development [originally presented at November 2020 DCRC annual meeting] 2020 **71st Annual Meeting of European Federation of Animal Science, Virtual Meeting, December 2020**Cole, John. Truncation of IFT80 causes early embryonic loss in cattle. Download slides w/audioCole, John. How to implement genomic selection. Download slides w/audio **2020 Dairy Cattle Reproduction Council Annual Meeting, November 2020**Cole, John. Dairy cattle fertility after 12 years of genomic selection: Lessons learned, current applications, and future development[VIEW updated version from March 2021 DCRC webinar] **Council on Dairy Cattle Breeding Dairy Industry webinar, November 2020**VanRaden, Paul. Calculation and use of genetic evaluations for feed saved. Download slides w/audio **CGIL Seminar Presentation, Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, October 2020**Cole, John. Truncation of IFT80 causes early embryonic loss in cattle **2020 ASAS-CSAS Annual Meeting and Trade Show, July 2020**Cole, John. Opportunities and challenges from deep-phenotyping of dairy cattle **Calving Traits Webinar, Council on Dairy Cattle Breeding, July 2020**Cole, John. A labor of love: Making the calving traits easier to bear **ADSA Virtual Meeting, June 2020**Al-Khudhair, Ahmed. Imputation and investigation of sequence genotypes for 6,735,530 variants of 39,048 Holsteins. Download slides w/audioNani, Juan. Methods to implement ancestor discovery in the US dairy cattle database. Download slides w/audioNeupane, Mahesh. Genomic evaluation of dairy heifer livability. Download slides w/audioNull, Dan. Quality control to improve properties of sequence genotypes from different sources [poster presentation] VanRaden, Paul. New traits and economic updates for the net merit index [not presented because of a technical error] | Abstract. Download slides w/audio **National DHIA 55th Annual Meeting, March 2020**Cole, John. Current Research at AGIL, February 2020 **Department of Animal Science, North Carolina State University, February 2020**Cole, John. Identification, validation, and management of Mendelian traits in livestock breeding programs **Holstein Association USA, Genetic Advancement Committee Meeting, January 2020**Cole, John. Current Research at AGIL, January 2020 **Plant and Animal Genome Conference, January 2020**Cole, John. Identification, validation, and management of Mendelian traits in livestock breeding programs Cole, John. The new USDA blueprint for animal genome research 2018–2027: A quantitative geneticist’s perspective 2019 **World Dairy Expo, October 2019**VanRaden, Paul. Preview of genetic evaluations for feed efficiency (and other traits) **Breed Improvement Committee, American Angus Association, September 2019**Cole, John. Haplotype tests for recessive disorders that affect fertility and other traits in dairy cattle **National Genetics Conference, June 2019**Cole, John. Pros and cons of hitchhiking: The truth about inbreeding in dairy cattleWeigel, Kent. Hay burners versus hay converters (a.k.a. feed efficiency) **ADSA Meeting, June 2019**Li, Bingjie. Genomic prediction and marker selection using high-density genotypes from 5 dairy breeds VanRaden, Paul. How to implement genomic selection Wiggans, George. Genomic predictions using more markers and gene tests **Interbull Annual Meeting, June 2019**Jiang, Jicai. A scalable Bayesian mixed model approach for GWAS and genomic prediction Null, Dan. Using the new ARS-UCD1 reference map in US genomic predictions **World Guernsey Conference, June 2019**Cole, John. Opportunities for genetic change in small breeds **FONAHolstein, May 2019**Cole, John. The future of genomic evaluations of Holstein cattle **Great Challenges to Science Workshop: How biotechnology can vanish world hunger, April 2019**Cole, John. How does biotechnology drive change in the dairy sector? **National Dairy Herd Information Association Annual Meeting, February 2019**Cole, John. Everything you need to know about gene editing ... in 25 minutes or less! **Council on Dairy Cattle Breeding Industry Meeting, February 2019**VanRaden, Paul. Genomic selection: Achievements in the last decade and plans for the next. Download slides w/audio 2018 **World Dairy Expo, October 2018**VanRaden, Paul. Improved genomic selection for health and other traits **Council on Dairy Cattle Breeding Industry Meeting, October 2018**VanRaden, Paul. What is cooking at AGIL? **Interbull Technical Workshop, August 2018**Dürr, João. Variance adjustments and Mendelian sampling tests **Responsible Use of Gene Editing Steering Committee Meeting, Food Marketing Institute, July 2018**Cole, John. Landscape of breeding in food and agriculture – from conventional to gene editing **ADSA Meeting, June 2018**Bradford, Heather. Modeling uncertain paternity to address differential pedigree accuracy Cole, John. Identification of genomic regions associated with resistance to clinical mastitis in U.S. Holstein cattle Hutchison, Jana. Methods to compute reliabilities for genomic predictions of feed intake Masuda, Yataka. Genomic predictability of single-step GBLUP for production traits in US Holstein Null, Dan. Potential benefits from using a new reference map in genomic prediction VanRaden, Paul. Multitrait modeling of first vs. later parities for US yield, somatic cell score, and fertility traits **Interbull Annual Meeting, February 2018**VanRaden, Paul. Validation of genomic reliability and gains from phenotypic updates Wiggans, George. Methods for discovering and validating relationships among genotyped animals **11th World Congress on Genetics Applied to Livestock Production, February 2018**O'Connell, Jeff. Predicting which variants genotype well with array vs. sequence data VanRaden, Paul. Including feed intake data from U.S. Holsteins in genomic prediction 2017 **Council on Dairy Cattle Breeding Industry Meeting, October 2017**Cole, John. How selection for better health impacts dairy profitabilityTooker, Mel. Validation of genomic predictions and genomic reliability VanRaden, Paul. AGIL research progress **EAAP Meeting, August 2017**Cole, John. Management of Mendelian traits in breeding programs by gene editing **Interbull Meeting, August 2017**Cole, John. Development of genomic evaluations for direct measures of health in U.S. Holsteins and their correlations with fitness traitsVanRaden, Paul. Genomic tools to improve progress and preserve variation for future generations **American Society of Animal Science Meeting, July 2017**Cole, John. A dairy calf DNA biobank for the discovery of new recessive genetic disorders [poster presentation] VanRaden, Paul. Ability to genotype differing variants with arrays vs. whole genome sequencing **ADSA Meeting, June 2017**Cole, John. Possibilities in an age of genomics: The future of the breeding index Hutchison, Jana. Bull fertility evaluations for Angus service sires bred to Holstein cows [poster presentation] Masuda, Yataka. Genetic trends from single-step GBLUP and traditional BLUP for production traits in US HolsteinNull, Dan. Discovery of a haplotype affecting fertility in Ayrshire dairy cattle and identification of a putative causal variant Tooker, Mel. Genomic predictions for crossbreds from all-breed data VanRaden, Paul. Genetic evaluation of gestation length as a trait of the service sire [poster presentation] VanRaden, Paul. Preliminary genomic predictions of feed saved for 1.4 million Holsteins **Symposium on Genetic and Genomic Selection in Dairy Cattle, May 2017**Cole, John. Improving production efficiency through genetic selection Cole, John.Genetic improvement programs for U.S. dairy cattleCole, John.The role of phenotyping in dairy cattle improvement in the genomic eraCole, John.Genomic selection for traits other than production in dairy cattle **Interbull Workshop, February 2017**VanRaden, Paul. Tests of single-step GBLUP for production traits in US Holsteins 2016 **ICAR Meeting, October 2016**Cole, John.Updated guidelines for the recording, evaluation, and genetic improvement of udder health in dairy cattle **Interbull Annual Meeting, October 2016**O'Connell, Jeff. Selection of sequence variants to improve dairy cattle genomic predictions VanRaden, Paul. Value of selecting for cow and calf livability **18° Congresso Estadual de Medicina Veterinaria e 1° Encontro de Buiatria do CONESUL, October 2016**Cole, John. Strategies for managing genetic disorders in dairy cattle **Universidade de Passo Fundo, October 2016**Cole, John. Genetic and genomic improvement of US dairy cattle **Council on Dairy Cattle Breeding Industry Meeting, October 2016**Bickhart, Derek. What farmers should expect from the use of full sequencing dataNorman, Duane. Cow livability evaluation and heifer livability research VanRaden, Paul. AGIL technical report **Large Animal Genetic Engineering Summit, September 2016**Cole, John. Management of many recessive disorders in a dairy cattle population using gene editing and sequential mate allocation [poster presentation] **Genomic Prediction Workshop, University of Florida, August 2016**VanRaden, Paul. Rapid growth of genomic prediction in dairy cattle **Department of Animal Biosciences, University of Guelph, August 2016**Cole, John. Managing many recessive disorders in a dairy cattle breeding program using gene editing **Department of Animal Sciences Seminar, University of Florida, August 2016**VanRaden, Paul. Genetic improvement for fertility, livability, and heat stress **ADSA-ASAS-CSAS-WSASAS Joint Annual Meeting, July 2016**Cole, John. Use of a threshold animal model to estimate calving ease and stillbirth (co)variance components for US HolsteinsHutchison, Jana. Sexed-semen usage for Holstein AI in the United States [poster presentation]Tooker, Mel. Selection of sequence variants to improve dairy cattle genomic predictions VanRaden, Paul. Identifying and Calling Insertions, Deletions, and Single-Base Mutations Efficiently from Sequence Data Wiggans, George. Strategy for incorporating newly discovered causative genetic variants into genomic evaluations Wright, Jan. Genetic evaluation of dairy cow livability [poster presentation]**NAAB Korean Delegation, July 2016**VanRaden, Paul. Selection of young animals using genomic evaluations **Department of Dairy Science, University of Wisconsin, Madison, May 2016**Cole, John. The role of phenotyping in dairy cattle improvement in the genomic era **Large Dairy Herd Management Conference, May 2016**Cole, John. Improving production efficiency through genetic selection **University of Maryland Statistical Genomics (BIOM688E) Seminar, May 2016**Wiggans, George. US genomic evaluation system **University of Maryland Statistical Genomics (BIOM688E) Seminar, April 2016**VanRaden, Paul. Computation of large-scale genomic evaluations **University of Maryland Statistical Genomics (BIOM688E) Seminar, March 2016**Bickhart, Derek. Reference genome assemblies and the technology behind them Bickhart, Derek.The basics of reference genomes and genetic features **Select Sires Sire Committee Meeting, March 2016**VanRaden, Paul. Current and future evaluation changes **National DHIA Annual Meeting, March 2016**Cole, John. 2016 AGIL reportCole, John. What direction should US dairy research take in the future? **Council on Dairy Cattle Breeding Board Meeting, February 2016**Wiggans, George. Cow livability evaluations **Plant and Animal Genome XXIV Conference, January 2016**VanRaden, Paul. Fast single-pass alignment and variant calling using sequencing data 2015 **American Registry of Professional Animal Scientists (ARPAS), ARPAS-DC Meeting, December 2015**Wiggans, George. Animal Improvement Program (AIP) **Council on Dairy Cattle Breeding Industry Meeting, September 2015**Connor, Erin. USDA-ARS research portfolio and perspectives for dairy cattle breeding VanRaden, Paul. History of genomic evaluations in The United States Wiggans, George. AGIL technical report **ARS Big Data Workshop, July 2015**Wiggans, George. Big data in support of genetic improvement of dairy cattle **ADSA-ASAS Joint Annual Meeting, August 2015**Cole, John. Genome-wide association study of fertility traits in dairy cattle using high-density single nucleotide polymorphism marker panels Cooper, Tabatha. Genomic evaluation, breed identification, and population structure of North American, English and Island Guernsey dairy cattle [poster presentation] Hutchison, Jana. Animal selection for whole-genome sequencing by quantifying the unique contribution of homozygous haplotypes sequenced [poster presentation] Null, Dan. Assignment of polled status using single nucleotide polymorphism genotypes and predicted gene content VanRaden, Paul. Practical implications for genetic modeling in the genomics eraWiggans, George. Effect of increasing the number of SNP from 60,000 to 85,000 in genomic evaluation of Holsteins Wright, Jan. Genetic interactions for heat stress and herd yield level: predicting foreign genetic merit from domestic data [poster presentation]**Interbull Annual Meeting, August 2015**Cooper, Tabatha. Genomic evaluations and breed composition for crossbred U.S. dairy cattle O'Connell, Jeff. Strategies to choose from millions of imputed sequence variants Tooker, Mel. Comparison of domestic and foreign genotypes by country and continent Wiggans, George. Revisiting the "a posteriori" granddaughter design **XX Congresso Internacional ANEMBE de Medicina Bovina, May 2015**Cole, John. What should you expect from genomic selection?Cole, John.Genomic selection for traits other than production in dairy cattle **NAAB Turkish Visitors Conference, May 2015**Wiggans, George. Animal Improvement Program **Final OptiMIR Scientific and Expert Meeting, April 2015**Cole, John. Using genotypes to construct phenotypes for dairy cattle breeding programs and beyond **CRV, April 2015**Cole, John. Genomic improvement programs for US dairy cattle **National DHIA Annual Meeting, March 2015**Cole, John. 2015 AGIL report Cole, John. If we would see further than others: Research & technology today and tomorrow **Herd '15 Biannual Meeting, March 2015**VanRaden, Paul. How genomics and collaboration produce results that may surprise us VanRaden, Paul. Why genetic progress requires continually improving methods **Cornell University, ANSC 3310 Seminar, March 2015**Wiggans, George. US genomic evaluation system **Genetics in the Age of Genomics, March 2015**Wiggans, George. Genomics and where it can take us [AUDIO] **Interbull Technical Workshop and Industry Meeting, February 2015**VanRaden, Paul. Monitoring U.S. genetic evaluations for the influence of genomic pre-selection **Plant and Animal Genome XXII Conference, January 2015**Bickhart, Derek. Comparative structural genomics in buffalo using the cattle reference genome Bickhart, Derek.The use of PacBio and Hi-C data in de novo assembly of the goat genome **British Cattle Conference, January 2015**Wiggans, George. Genomics and where it can take us **SRUC Seminar, January 2015**Wiggans, George. US genomic evaluation system 2014 **AGIL Meeting with BARC and NEA Management, November 2014**AGIL. Research of the Animal Improvement Program **Embrapa Gado de Leite, September 2014**Cole, John. Genetic improvement programs for US dairy cattle **Universidade Federal de Vicosa, September 2014**Cole, John. Using genotyping and whole-genome sequencing to identify causal variants associated with complex phenotypes **10th World Congress on Genetics Applied to Livestock Production, August 2014**Bickhart, Derek. Using the whole read: Structural variation detection with RPSR Cole, John. The hunt for a functional mutation affecting conformation and calving traits on chromosome 18 in Holstein cattle Cooper, Tabatha. Including cow information in genomic prediction of Holstein dairy cattle in the US [poster presentation] Sun, Chuanyu. Increasing predictive ability using dominance in genomic selection VanRaden, Paul. Fast imputation using medium- or low-coverage sequence data Wiggans, George. Increasing the number of SNPs used in genomic evaluations of dairy cattle **Council on Dairy Cattle Breeding Meeting, August 2014**Cole, John. An updated version of lifetime net merit incorporating additional fertility traits and new economic values Cooper, Tabatha. Analysis of genomic predictor population Sun, Chuanyu. Genomic relationships for mating programs VanRaden, Paul. Use of new multi-trait, all-breed genetic evaluation software Wiggans, George. Immediate evaluations and new chips **ADSA – ASAS – CSAS Joint Annual Meeting, July 2014**Cole, John. An updated version of lifetime net merit incorporating additional fertility traits and new economic values Wiggans, George. Calculation and delivery of US genomic evaluations for dairy cattle Wright, Jan. Multi-trait, multi-breed conception rate evaluation [poster presentation] **ICAR / Interbull Meeting, May 2014**Cole, John. Phenotypes for novel functional traits of dairy cattle Norman, Duane. Selection changes in the United States due to genomicsVanRaden, Paul. Genotypes are useful for more than genomic evaluation**BARC Poster Day, April 2014**Sun, Chuanyu. An efficient method of generating whole genome sequence for thousands of bulls **National DHIA Annual Meeting, March 2014**Cole, John. AIPL report Cole, John.Health and fitness data – what might be possible for dairy cattle? **Advancing Dairy Cattle Genetics: Genomics and Beyond, February 2014**VanRaden, Paul. Impact of genomics on genetic improvement **Plant and Animal Geonome XXII Conference, January 2014**Cole, John. Candidate causative mutation on BTA18 associated with calving and conformation traits in Holstein bulls [poster presentation] 2013 **China Emerging Markets Program Seminar, October 2013**Wiggans, George. Current status of genomic evaluation for U.S. dairy cattle **Department of Animal Sciences, Purdue University, October 2013**Cole, John. New tools for genomic selection in dairy cattle **5th International Symposium on Animal Functional Genomics, September 2013**Cole, John. Genomic evaluation of low-heritability traits: dairy cattle health as a model [poster presentation] Cole, John.New applications of genomic technology in the US dairy industry **Japanese Genomics Tour, September 2013**Wiggans, George. Genomic evaluations in the United States **Interbull Annual Meeting, August 2013**Sun, Chuanyu. Increasing long term response by selecting for favorable minor alleles VanRaden, Paul. Measuring genomic pre-selection in theory and in practice **Scientific Leadership RL Meeting, August 2013**Wiggans, George. Animal Improvement Programs Laboratory **ADSA – ASAS Joint Annual Meeting, July 2013**Bickhart, Derek. Tools to exploit sequence data to find new markers and disease loci in cattle Cooper, Tabatha. Genomic evaluation of Ayrshire dairy cattle and new haplotypes affecting fertility and stillbirth in Holstein, Brown Swiss, and Ayrshire breeds [poster presentation] Hutchison, Jana. Optimal age at first calving for U.S. dairy cattle [poster presentation] Norman, Duane. Trends in noncompliance with milk quality standards for Dairy Herd Improvement herds in the United States [poster presentation] Sonstegard, Tad. Genomic divergence of indicine and taurine cattle identified through high-density SNP genotyping Sun, Chuanyu. Mating programs including genomic relationships and dominance effects Wiggans, George. Using 90,113 single nucleotide polymorphisms in genomic evaluation of dairy cattle **Keygene, May 2013**Cole, John. Genomic selection and systems biology – lessons from dairy cattle breeding **2013 ICAR Health Data Conference, May 2013**Cole, John. Genomic evaluation of dairy cattle health **Animal Sciences Group, Wageningen UR Livestock Research, May 2013**Cole, John. Use of NGS to identify the causal variant associated with a complex phenotype **SRUC, April 2013**Wiggans, George. Algorithms and genotype densities Wiggans, George.Imputation **UMD Animal Science Seminar, April 2013**VanRaden, Paul. Computation of large-scale genomic evaluationsVanRaden, Paul.Global Impact of genomic selection in dairy cattle Wiggans, George. Genetic improvement program for dairy cattle **BARC Poster Day, April 2013**Bickhart, Derek. Open source tools to exploit DNA sequence data from livestock species [poster presentation] Sun, Chuanyu. Mating programs including genomic relationships and dominance effects [poster presentation] **National DHIA Annual Meeting, March 2013**Cole, John. Opportunities for genetic improvement of health and fitness traits **ARS Big Data Computing Workshop, February 2013**Wiggans, George. Big data in support of genetic improvement of dairy cattle **Italian Holstein Association Breeders Meeting, February 2013**Cole, John. The use and economic value of genomic testing for calves on dairy farms. Uso e valore economico dei test genomici in azienda [in Italian] 2012 **National Swine Improvement Federation Annual Meeting and Genetic Symposium, December 2012**Cole, John. Challenges and successes in dairy cattle genomics **63rd European Association for Animal Production Meeting, September 2012**Cole, John. Applications of haplotypes in dairy farm management Cole, John. Pypedal, an open source software package for pedigree analysis [poster presentation] **ADSA – AMPA – ASAS – CSAS – WSASAS Joint Annual Meeting, July 2012**Cole, John. An international overview of the recording and use of functional traits in dairy breeding and managementCooper, Tabatha. Maternal grandsire confirmation and discovery in dairy cattle Hutchison, Jana. Increased use of young bulls in dairy cattle breeding programs [poster presentation] Norman, Duane. Comparison of daughter performance of New Zealand and North American sires in US herds Null, Dan. Fine mapping and discovery of recessive mutations that cause abortions in dairy cattle [poster presentation] Tooker, Mel. Methods to include foreign information in national evaluations VanRaden, Paul. Iterative combination of national phenotype, genotype, pedigree, and foreign information Wiggans, George. Characteristics and use of the Illumina BovineLD BeadChipWright, Jan. Adjustment of selection index coefficients and polygenic variance to improve regressions and reliability of genomic evaluations[poster presentation] Wright, Jan.Genetic evaluation of mobility for Brown Swiss dairy cattle [poster presentation] **Interbull Annual Meeting, May 2012**VanRaden, Paul. Reliability increases from combining 50,000- and 777,000-marker genotypes from 4 countries **38th ICAR Session, May 2012**Cole, John. Survey on the recording and use of functional traits in dairy management and breedingMattison, Jay. Characteristics of the USA dairy herd as related to management and demographic elements **16th MAS-QTL Workshop, May 2012**Cole, John.Fine-mapping of QTL using high-density SNP genotypes **Department of Animal Sciences, University of Sassari, May 2012**Cole, John. New tools for genomic selection of livestockCole, John.The U.S. genetic evaluation system **Department of Animal Science, North Carolina State University, April 2012**Cole, John. New tools for genomic selection of livestock **Dairy Records Management Systems, April 2012**Cole, John. Genomic selection in dairy cattle **U.S. Genetics Conference, March 2012**Wiggans, George. Macroeconomics of using high quality genetics Wiggans, George.The U.S. genetic evaluation system **Select Sires Sire Evaluation Committee, March 2012**Cole, John. March 2012 AIPL update **2nd International Workshop on Genomics Applied to Livestock, February 2012**Cole, John. Genomics beyond EBVs **Interbull Genomics Workshop, February 2012**VanRaden, Paul. Avoiding bias from genomic pre-selection in converting daughter information across countries **Plant and Animal Genome Conference, January 2012**Adams, Heather. Identification of a nonsense mutation in APAF1 that is causal for a decrease in reproductive efficiency in dairy cattle 2011 **Cornell Department of Plant Breeding and Genetics Seminar, November 2011**Wiggans, George. Application of genomic selection in dairy cattle **DNA LandMarks User Group Meeting, October 2011**Wiggans, George. North American dairy cattle genomic selection program **DRMS Annual Meeting & NDHIA Board Meeting, October 2011**Norman, Duane. AIPL research update **European Association for Animal Production Meeting, August 2011**Cole, John. Genetic evaluations for birth weight: Comparison of continuous and discrete definitions of birth weight under varying accuracies of recording **Interbull Annual Meeting, August 2011**VanRaden, Paul. Reporting of haplotypes with recessive effects on fertility **Illumina Agrigenomics User Group Meeting, August 2011**Wiggans, George. Genomic selection in dairy cattle **ADSA/ASAS Joint Annual Meeting, July 2011**Cole, John. Data structures and visualization Cooper, Tabatha. Use of the Illumina Bovine3K BEAD chip in dairy genomic evaluationHutchison, Jana. Effects of dam’s dry period length on heifer development [poster presentation] Lombard, Jason. Current levels of compliance with EU bulk-tank SCC standards and proposed (but rejected) US standards based on data from four Federal Milk Marketing OrdersMacciotta, Nicolo. Multivariate factor analysis of genomic correlation matrices in three US dairy cattle breeds Norman, Duane. Consequence of changing standards for somatic cell count on US Dairy Herd Improvement herds Null, Dan. Genomic imputation and evaluation using 1074 high density Holstein genotypes [poster presentation] Olson, Katie. Changes in the use of young bulls [poster presentation] Olson, Katie.Impacts of inclusion of foreign data in genomic evaluation of dairy cattle Tooker, Mel. Properties of different density genotypes used in dairy cattle evaluation VanRaden, Paul. Overview of current genomic selection in dairy cattle populations Wiggans, George. Adjustment of deregressed values from cow evaluations to have similar mean and variance as bull deregressed values Wright, Jan. Use of cow culling to help meet compliance for somatic cell standards [poster presentation] **37th ICAR Meeting, June 2011**Cole, John. Registration of health traits – strategies of phenotyping, aspects of data quality and possible benefits **Minnesota Dairy Health Conference, May 2011**Wiggans, George. Dairy genomics in application **Poultry Breeders of America Roundtable, May 2011**Wiggans, George. Dairy cattle genomic evaluation program update **Applied Genomics for Sustainable Livestock Breeding Conference, May 2011**Van Tassell, Curt. The use of SNP chips for selection of dairy cattle **Select Sires‘ Holstein Sire Evaluation Committee, March 2011**Wiggans, George. USDA genetic evaluation update **National DHIA Annual Meeting and Leadershop Workshop, March 2011**Norman, Duane. Consequence for U.S. dairy herds of imposing different SCC standards **National Mastitis Council Meeting, January 2011**Norman, Duane. Consequence for U.S. dairy herds of imposing different SCC standards 2010 **North Carolina State University, November 2010**Cole, John. What can we do with dairy cattle genomics other than predict more accurate breeding values? **Dairy Cattle Reproductive Council Convention, November 2010**Wiggans, George. Genomic evaluations: Past, present, and future **Georgetown Ag Systems, October 2010**Wiggans, George. Animal biotechnology **World Dairy Expo, September 2010**Van Tassell, Curt. Recent developments in genetic testing and predicting genetic values **European Association of Animal Production Meeting, August 2010**Norman, Duane. Recent trends in mastitis and fertility indicators in the United States and reasons for change **9th World Congress on Genetics Applied to Livestock Production, August 2010**Cole, John. Forty years of artificial selection In U.S. Holstein cattle had genome-wide signatures [poster presentation] Cole, John.Use of haplotypes to predict selection limits and Mendelian sampling Cole, John.Walking the cattle continuum: Moving From the BovineSNP50 to higher- and lower-density SNP panels Da, Yang. High resolution QTL maps of 31 traits in contemporary U.S. Holstein cows Norman, Duane. Potential consequences of selection on gestation length on Holstein performance VanRaden, Paul. Genomic evaluation with many more genotypes and phenotypes Wiggans, George. Increased reliability of genetic evaluations for dairy cattle in the United States from use of genomic information **Ag Discovery Program, July 2010**Wiggans, George. Animal genomics **ADSA/PSA/AMPA/CSAS/ASAS Joint Annual Meeting, July 2010**Cole, John. Use of haplotypes to predict selection limits and Mendelian sampling Cooper, Tabatha. Cow adjustments for genomic predictions of Holstein and Jersey bulls Hubbard, Suzanne. Relationship of reason for lactation termination with genetic merit of Holsteins in the United States [poster presentation] Norman, Duane. Comparison of Holstein service-sire fertility for heifer and cow breedings with conventional and sexed semen [poster presentation] Null, Dan. Age at first calving in U.S. dairy cattle [poster presentation] Olson, Katie. Multibreed genomic evaluations in purebred dairy cattle Schutz, Mike. Derivation of factors to estimate daily fat, protein, and somatic cell score from one milking of cows milked three times daily [poster presentation] Schutz, Mike.Derivation of factors to estimate daily milk yield from one milking of cows milked three times daily [poster presentation] Tooker, Mel. Gains in reliability from combining subsets of 500, 5,000, 50,000 or 500,000 genetic markersVanRaden, Paul. Filling missing genotypes using haplotypesWiggans, George. Improved reliability approximation for genomic evaluations in the United States Wright, Jan. Effectiveness of genetic evaluations in predicting daughter performance in individual herds[poster presentation; updated Nov. 10, 2010] **CRI - Spanish Update Meeting, June 2010**Norman, Duane. Status of dairy cattle breeding in the United States Wiggans, George. Genomic evaluations **Interbull Meeting, May 2010**VanRaden, Paul. Combining different marker densities in genomic evaluation **Alta Genetics Meeting, May 2010**Wiggans, George. Genomic evaluations **Council on Dairy Cattle Breeding Meeting / National Association of Animal Breeders Meeting, April 2010**Cole, John. Genetic evaluation of age at first calvingCole, John.Using haplotypes in breeding programs Cooper, Tabatha. Cow adjustment and genomic database update Cooper, Tabatha.Genomic database update Tooker, Mel. Imputation of cow genotypes and adjustment of PTAs Hutchison, Jana. Holstein service-sire fertility for heifer and cow breedings with conventional and sexed semenLawlor, Tom. Interpretation of genomic breeding values from a unified, one-step national evaluation Norman, Duane. Potential consequences of selection on gestation length on Holstein performanceNull, Dan. Genetic evaluation of age at first calvingOlson, Katie. Prediction of breed composition & multibreed genomic evaluationsOlson, Katie.Predictions of breed composition using Holstein, Jersey, and Brown Swiss genotypes Tooker, Mel. Happy bulls, happy cows, haplotypesVanRaden, Paul. Mixing different SNP densities VanRaden, Paul.Use young bulls more VanRaden, Paul.Why do we need more genotypes and phenotypes?Wiggans, George. Improved reliability of genomic evaluations Wright, Jan. Effectiveness of genetic evaluations in predicting daughter performance in individual herds [updated Nov. 10, 2010] **BARC Poster Day, April 2010**Olson, Katie. Multibreed genomic evaluation using purebred dairy cattle [poster presentation] **Select Sire Committee Meeting, March 2010**Wiggans, George. Genomics: What we have and what is coming **Interbull Technical Workshop on Genomic Information in Genetic Evaluations, March 2010**VanRaden, Paul. GMACE implementation **ENGALEC Dairy Conference, March 2010**Olson, Katie. Selección genómica en ganado lechero... Un año después [In Spanish] 2009 **Institute of Genetics, Vetsuisse Faculty, University of Bern, November 2009**Cole, John. Biological insights gained from genomic prediction **DSEC Meeting, October 2009**VanRaden, Paul. DSEC October 2009 **Croatian Holstein Breeders Federation and MOA/Veterinary Affairs Study Tour, August 2009**Wiggans, George. Overview of the dairy genetic evaluation system **Interbull / EAAP Joint Session, August 2009**Norman, Duane. Effect of sexed-semen use on Holstein conception rate, calf gender, dystocia, and stillbirth in the United States VanRaden, Paul. Development of genomic GMACE VanRaden, Paul. Future animal improvement programs applied to global populations **Inner Mongolia Livestock Improvement Training, August 2009**Wiggans, George. US genetic improvement program: Methods and results **ADSA/CSAS/ASAS Joint Annual Meeting, July 2009**Byrem, Todd. Characteristics of milk ELISA results for Johne’s disease in US dairy cows [poster presentation] Cole, John. Visualization of results from genomic predictions Hutchison, Jana. Effect of sexed-semen on conception rate for Holsteins in the United States [poster presentation] Norman, Duane. Comparison of service-sire fertility evaluations formerly or currently available to the US dairy industry Null, Dan. Best prediction of lactation yields accounting for regional and seasonal differences [poster presentation] Powell, Rex. Trends in international flow of Holstein genes [poster presentation] Tooker, Mel. Can you believe those genomic evaluations for young bulls? VanRaden, Paul. National and international genomic evaluations for dairy cattle Wiggans, George. Transition of genomic evaluation from a research project to a production system Wright, Jan. Factors affecting milk ELISA scores of cows tested for Johne’s disease [poster presentation] **NDHIA Board Meeting, July 2009**Norman, Duane. Update on AIPL research since April 2009 **India Emerging Markets Conference, May 2009**Hutchison, Jana. Status of dairy cattle breeding in the United States Tooker, Mel. An introduction to genomics Tooker, Mel. An introduction to sire proofs and modeling Walton, Leigh. Milk recording data **Council on Dairy Cattle Breeding Meeting, April 2009**Cole, John. Distribution and location of genetic effects for dairy traitsHutchison, Jana. Effect of sexed semen on conception rate, calf sex, dystocia, and stillbirth Tooker, Mel. Can you believe those genomic evaluations for young bulls? VanRaden, Paul. National and international genomic evaluation methods Wiggans, George. Updates on the genomic evaluation program **Select Sires Annual Sire Conference, March 2009**VanRaden, Paul. Use of genomics for selecting sires **California DHIA Meeting, March 2009**Norman, Duane. Sire fertility & genomics **National DHIA Annual Meeting, March 2009**Norman, Duane. Update on AIPL research, 2008–09 **CRI Genomics Emerging Markets Program, March 2009**Cole, John. Distribution and location of genetic effects for dairy traits VanRaden, Paul. Genomics for emerging marketsWiggans, George. How the genomic evaluation program works **Gordon Conference on Quantitative Genetics and Genomics, February 2009**VanRaden, Paul. Dairy cattle breeders have adopted genomic selection **Interbull International Workshop on Genomic Information in Genetic Evaluations, January 2009**VanRaden, Paul. Benefits from cooperation in genomics **Pre-IETS Symposium, January 2009**Hutchison, Jana. Characterization and usage of sexed semen from US field data 2008 **National Swine Improvement Federation Symposium, December 2008**VanRaden, Paul. Using genomic data to improve dairy cattle genetic evaluations **DHI-Provo Herd Management Conference, November 2008**Wiggans, George. What’s coming in genomic evaluations and how it affects you **Dairy Cattle Reproductive Council Convention, November 2008**Norman, Duane. A national sire fertility index **AIPL Centennial Conference, October 2008**O’Connell, Jeff. Perspectives from human studies and low density chipVan Tassell, Curt. Future research in genomics VanRaden, Paul. A century of AIPL and just getting startedVanRaden, Paul. Genomic history and new genetic principles Wiggans, George. Implementing and improving genomic evaluations **NAAB DSEC Meeting, October 2008**Cole, John. AIPL update **Canadian Dairy Cattle Improvement Industry Forum, September 2008**VanRaden, Paul. North American cooperation in genomic prediction **ADSA/ASAS Joint Annual Meeting, July 2008** Hubbard, Suzanne. Reproductive trends of dairy herds in the United States [poster presentation] Kuhn, Melvin. Modeling nuisance variables for phenotypic evaluation of bull fertility [poster presentation] Miller, Bob. Factors that affect abortion frequency in dairy herds in the United States [poster presentation] Norman, Duane. Alternatives for evaluating daughter performance of progeny-test bulls between official evaluationsNorman, Duane. Derivation of factors to estimate daily milk yield from single milkings for Holsteins milked two or three times daily Norman, Duane. Impact of selection for decreased somatic cell score on productive life and culling for mastitis Null, Dan. A data exchange format and national database for producer-recorded health event data from on-farm management software [poster presentation] O’Connell, Jeff. Optimized measured genotype analysis for genome-wide quantitative trait loci mapping using dense SNP chips [poster presentation] Powell, Rex. Breed composition of the United States dairy cattle herd [poster presentation] Tooker, Mel. Effects of allele frequency estimation on genomic predictions and inbreeding coefficientsVanRaden, Paul. Reliability of genomic predictions for North American dairy bulls VanRaden, Paul. Strategies to incorporate genomic prediction into population-wide genetic evaluationsWiggans, George. Selection of single nucleotide polymorphisms and genotype quality for genomic prediction of genetic merit in dairy cattle Wright, Jan. Impact of selection for increased daughter fertility on productive life and culling for reproduction [poster presentation] **ICAR Session and Interbull Meeting, June 2008**Cole, John. Data collection ratings and best prediction of lactation yieldsCole, John. Distribution and location of genetic effects for dairy traits Norman, Duane. Retrofitting genetic-economic indexes to demonstrate responses to selection across 2 generations of Holsteins VanRaden, Paul. Genomic data and cooperation result in faster progressWiggans, George. Genomic evaluations in the United States and Canada: A collaboration **NC-1037 Swine Geonomics Group, May 2008**VanRaden, Paul. Genomic selection in dairy cattle **National Breeders Roundtable, May 2008**Wiggans, George. Genetic trends in dairy cattle over the next 25 years ... where are we headed and how will we get there **National Association of Farm Broadcasting, April 2008**Wiggans, George. Animal Improvement Programs Laboratory (AIPL) **NAAB DSEC Meeting, April 2008**VanRaden, Paul. Genomic prediction results Wiggans, George. Routine genomic predictions [also presented at Select Sires’ Sire Committee Meeting, March 2008] **National DHIA Annual Meeting & Educational Session, March 2008**Norman, Duane. AIPL report: We’re from the government and we’re here to help you! VanRaden, Paul. New genomic predictions combine DNA and DHIA data **Missouri Dairy Summit, March 2008**Norman, Duane. Responses to alternative genetic choices in dairy grazing systems 2007 **Animals and Bioengineering – A Consideration of Law, Ethics, and Science, November 2007**VanRaden, Paul. Improving animals each generation by selecting from the best gene sources **Dairy Cattle Reproduction Council Convention, November 2007**Norman, Duane. Genetic selection for reproduction: Current reproductive status of the national herd; application of selection indexes for dairy producers **AgriTech Analytics & Holstein Association USA Dairy Industry Event, September 2007**Cole, John. Best prediction of actual lactation yields **Seminar for Department of Animal Science, Louisiana State University, September 2007**Cole, John. Genetic evaluation of calving traits in US HolsteinsCole, John. Overview of Animal Improvement Programs Laboratory **Interbull Annual Meeting - Dublin, Ireland, August 2007**VanRaden, Paul. Genomic measures of relationship and inbreeding **ADSA/PSA/AMPA/ASAS Joint Annual Meeting, July 2007**Cole, John. Estimation of yields for long lactations using best prediction Hubbard, Suzanne. Genetic and environmental factors that affect gestation length [poster presentation] Kuhn, Melvin. Effect of dam’s dry period length on calf [poster presentation] Miller, Bob. Factors affecting death rate of lactating cows in Dairy Herd Improvement herds [poster presentation] Norman, Duane. Effect of service sire and cow sire on gestation length Norman, Duane. Relationship of herd-heritability with sire misidentification and entry into a proven sire lineup [poster presentation] Null, Dan. Genetic evaluation of lactation persistency estimated by best prediction for Ayrshire, Brown Swiss, Guernsey, and Milking Shorthorn dairy cattle [poster presentation] Powell, Rex. Relationship of gestation length to stillbirth [poster presentation] Tooker, Mel. Methods to explain genomic estimates of breeding value VanRaden, Paul. Efficient estimation of breeding values from dense genomic dataWiggans, George. Harnessing automatic data collection to enhance genetic improvement programs Wright, Jan. Effect of temperature and humidity on gestation length [poster presentation] **Seminar for Department of Animal Science, University of Flordia, June 2007**Cole, John. Validation of producer-recorded health event data and use in genetic improvement of dairy cattle **Genex / CRI Dairy Cattle Genetics Conference, June 2007**VanRaden, Paul. Research plans for genomics, crossbreeding, fertility, etc. **NAAB DSEC Meeting, April 2007**VanRaden, Paul. Update on all-breed model, fertility, genomics **W.E. Petersen Symposium, April 2007**VanRaden, Paul. Genetic evaluation using combined data from all breeds and crossbred cows **New Techniques for Production and Reproduction in Cattle, March 2007**VanRaden, Paul. Selection for fertility in dairy cattle 2006 **DHI-Provo Herd Management Conference, November 2006**Norman, Duane. Prospects for increasing profitability using genetic reproductive indexes **6th Mid-Atlantic Dairy Grazing Conference, October 2006**Norman, Duane. Is there need for different genetics in dairy grazing systems? **S-1008 Research Group Annual Meeting, October 2006**VanRaden, Paul. AIPL contributions to S-1008 **Seminars for Department of Animal Sciences, Colorado State University, October 2006**Cole, John. Dairy cattle breeding in the United StatesCole, John. Genetic evaluation of calving traits in US Holsteins **American Dairy Goat Association Annual Meeting, October 2006**Wiggans, George. USDA genetic evaluation program for dairy goats Wiggans, George. USDA genetic evaluations for type traits **8th World Congress on Genetics Applied to Livestock Production, August 2006**Cole, John. Genetic evaluation of stillbirth in US Holsteins using a sire-maternal grandsire threshold modelNorman, Duane. Trait selection when culling U.S. HolsteinsVanRaden, Paul. Predicting genetic interactions within and across breedsWiggans, George. Genetic correlations between first and later parity calving ease in a sire-maternal grandsire model [poster presentation] **Joint ADSA/ASAS Annual Meeting, July 2006**Cole, John. Estimation of stillbirth (co)variance components and development of a calving ability index Kuhn, Melvin. Methodology for prediction of bull fertility from field dataMiller, Robert. Synchronization effects on parameters for days openNorman, Duane. Factors that impact longevity of Holsteins in the United StatesPowell, Rex. Domestic vs. imported AI semen for Holstein graziers in the US Powell, Rex. Historical perspectives on genetic fitness research Sanders, Ashley. Use of producer-recorded health data in determining incidence risks and relationships between health events and culling [poster presentation] Thornton, Laura. Rear legs (rear view) for Brown Swiss and Guernsey breedsTooker, Mel. Revised Estimates of Lifetime Net Merit for Dairy Breeds and Breed Crosses VanRaden, Paul. Genetic evaluations for mixed breed populations Wiggans, George. Genetic evaluation of milking speed in Brown Swiss Wright, Jan. Genetic differences between Holstein maturity rates in the Netherlands and United States [poster presentation] **Interbull Annual Meeting, Kuopio, Finland, June 2006**VanRaden, Paul. Normality and skewness of genetic evaluations **NAAB DSEC and IMC Meeting, April 2006**VanRaden, Paul. 2006 net merit revisionWiggans, George. Genetic evaluation of milking speed for Brown Swiss dairy cattle Wiggans, George.Rear legs/rear view for Brown Swiss and Guernsey breeds **Select Sires Sire Committee Meeting, March 2006**VanRaden, Paul. Stillbirth, productive life, and net merit update **NDHIA Annual Meeting, March 2006**Wiggans, George. Update on current AIPL research **Jersey Young-Sire Progeny-Test and Development Summit, March 2006**Norman, Duane. History of Jersey young-sire development programs in the United States **Interbull Technical Workshop, Wageningen, Netherlands, March 2006**VanRaden, Paul. Fertility trait economics and correlations with other traits Wiggans, George. How the U.S. checks for invalid ID’s and missing cross references 2005 **51st DHI-PROVO Herd Management Conference, November 2005**Wiggans, George. Considering inbreeding in making breeding decisions **Conference on Dairy Cattle Fertility: Health, Management, and Genetics, October 2005**VanRaden, Paul. Selection for fertility in dairy cattle. Fertilità e selezione genetica nelle vacche da latte [in Italian] **2005 Cornell Sheep & Goat Symposium, October 2005**Wiggans, George. Genetic evaluation for small ruminants **S-1008 Research Group Annual Meeting, October 2005**VanRaden, Paul. Genetic evaluation of mixed breed populations **NAAB DSEC Meeting, October 2005**Cole, John. Stillbirth, longevity, and fertility update **Seminar for Department of Animal and Poultry Sciences, University of Guelph, September 2005**Wiggans, George. AIPL projects **Joint ADSA/ASAS/CSAS Annual Meeting, July 2005**Cole, John. Genetic evaluation and best prediction of lactation persistency Kuhn, Melvin. Effects of complex vertebral malformation gene on production and reproduction [poster presentation] Kuhn, Melvin. Factors affecting heifer fertility in U.S. Holsteins [poster presentation] Miller, Bob. Assessment of voluntary waiting period and frequency of estrus synchronization among herds [poster presentation] Norman, Duane. Historical examination of culling of dairy cows from herds in the United States Norman, Duane. A salute to Rex L. Powell Powell, Rex. Country bias in international dairy bull evaluations Sanders, Ashley. Disposal reporting and disposition of culled cows by parity and herd size Tooker, Mel. Effect of herd by sire interaction variance on genetic evaluations VanRaden, Paul. Productive life including all lactations, longer lactations, and calf value Wiggans, George. Accounting for heterogeneous variances in multi-trait evaluation of Jersey type traits [poster presentation] Wiggan, George. Reproduction data in USDA database Wright, Jan. Comparison of maturity rate for bull daughters in the United States and Canada [poster presentation] **BIF Research Symposium and Annual Meeting, July 2005**VanRaden, Paul. An example from dairy cattle selection: The net merit index **XX International Grassland Conference, Cork, Ireland, July 2005**Norman, Duane. Genetic alternatives for dairy producers who practise grazing **Interbull Annual Meeting - Uppsala, Sweden, June 2005**VanRaden, Paul. Inbreeding adjustments and effect on genetic trend estimates **NAAB DSEC Meeting, April 2005**VanRaden, Paul. Update on inbreeding, herd by sire effects, and new traits Wiggans, George. Investigation of herd years with abnormal distributions of calving ease scores **USA - Norway Seminar on Dairy Health Selection, March 2005**Norman, Duane. Status of dairy cattle breeding in the United States 2004 **S-1008 Research Group Annual Meeting, October 2004**VanRaden, Paul. Planned changes to models and trait definitions **World Dairy Expo, October 2004**Van Tassell, Curt. Genetic selection tools in the genomics era **ADSA 8th Discover Conference, October 2004**Norman, Duane. A historical review of culling of dairy cows from US dairy herds **Joint ADSA/ASAS/PSA Annual Meeting, July 2004**Cole, John. Breed composition codes for crossbred dairy cattle with an application to calving easeGoodling, Rob. Effect of synchronization protocols on days open and pregnancy rate at 120 days in dairy cattle Kuhn, Melvin. Minimum dry period length to maximize performance [poster presentation] Kuhn, Melvin. Prediction of service sire fertility Miller, Bob. Contribution of inbreeding and recessive defects to early embryo loss [poster presentation] Norman, Duane. Genetic relationships of milk yield for different parities between bulls and their sons Powell, Rex. Accuracy and stability of national and international somatic cell evaluationsSanders, Ashley. Impact of participation in somatic cell count testing on herd average somatic cell score Thornton, Laura. Impact on calving ease evaluations of excluding herds with abnormal distribution of scores Tooker, Mel. Heterosis and breed differences for daughter pregnancy rate of crossbred dairy cows VanRaden, Paul. Genetic base and trait definition updateWiggans, George. Accounting for differences in rate of maturity in yield evaluationsWright, Jan. Merit of obtaining genetic evaluations of milk yield for each parity on Holstein bulls [poster presentation] **12th International Conference on Production Diseases in Farm Animals, July 2004**Cole, John. Genetic improvement of dairy cattle health **American Forage and Grassland Council Conference, June 2004**Norman, Duane. Possibilities for improving dairy cattle performance **Interbull Annual Meeting - Sousse, Tunisia, May 2004**VanRaden, Paul. Choice of scales for delivery of genetic evaluations to the public **BARC Poster Day, April 2004**Cole, John. Breed composition codes for crossbred dairy cattle in the United States[poster presentation] Hare, Liz. Duration of herd participation in Dairy Herd Improvement milk recordings in the United States [poster presentation] **NAAB DSEC Meeting, April 2004**VanRaden, Paul. NAAB update:Base change, udder health, longevity, fertility **Interbull Technical Committee Meeting, Uppsala, Sweden, January 2004**VanRaden, Paul. Estimates of genetic correlations when evaluations of both parents are available 2003 **Clone Risk Assessment Workshop, Versailles, France, November 2003**Norman, Duane. Performance of dairy cattle clones and evaluation of their milk composition **National Dairy Genetics Workshop, Raleigh, NC, October 2003**VanRaden, Paul. Genetic evaluations for fitness and fertility in the US and other nations **Goat Genetics & Reproduction Field Day, Cornell University, September 2003**Wiggans, George. USDA dairy goat genetic evaluation program **BSCBA Annual Meeting, July 2003**Powell, Rex. Interbull as a tool for genetic improvement **Joint ADSA/ASAS Annual Meeting, June 2003**Kuhn, Melvin. Use of early lactation days open records for genetic evaluation of cow fertility Miller, Bob. Test-day milk loss associated with elevated test-day somatic cell score [poster presentation] Norman, Duane. Characteristics of genetic evaluations for daughter fertility in relation to other fitness traits Powell, Rex. Accuracy of foreign dairy bull evaluations in predicting US evaluations for yield Sanders, Ashley. Using the internet for exchange of dairy genetic evaluations and research information for the dairy industryTooker, Mel. Quality of data included in genetic evaluations for daughter pregnancy rate VanRaden, Paul. Definition of traits and comparison of models for cow fertility Wiggans, George. Standardization of lactation records for variance of Medelian sampling to reduce bias in evaluations of bull dams Wright, Jan. Performance of Holsteins that originated from embryo transfer or twin births [poster presentation] **NAAB DSEC Meeting, April 2003**Kuhn, Melvin. Using days open early in lactation to allow for earlier DPR sire proofs[VIEW updated version from ADSA annual meeting, June 2003] Tooker, Melvin. Update on evaluations for daughter pregnancy rate[VIEW updated version from DSA annual meeting, June 2003] **NDHIA Annual Meeting, March 2003**VanRaden, Paul. Genetic evaluation of cow fertility using DHIA records **Interbull Technical Workshop, March 2003**Powell, Rex. Correlation of longevity evaluation with other trait evaluations from 14 countriesVanRaden, Paul. Comparison of longevity and fertility trait definitions in theory and simulation 2002 **NAAB IMC/IP Meeting, October 2002**Norman, Duane. ¡Inicio! La pagina de web del Laboratorio de Programas del Mejoramiento AnimalPowell, Rex. Update on InterbullSanders, Ashley. AIPL on the web accessing data and information @ aipl.arsusda.govVanRaden, Paul. Genetic evaluation of cow fertilty expressed as pregnancy rateWiggans, George. USDA genetic evaluations for calving ease **American Dairy Goat Association, October 2002**Wiggans, George. USDA dairy goat genetic evaluation program status and plans[VIEW updated version from ADGA annual meeting, September 2003] **7th World Congress on Genetics Applied to Livestock Production, August 2002**Norman, Duane. Performance of Holstein clones in the United StatesVan Tassell, Curt. Enhancing quality of dystocia data by integration into a national dairy cattle production database[poster presentation] VanRaden, Paul. Selection of dairy cattle for lifetime profitWiggans, George. Comparison of dystocia evaluations from sire and sire-maternal grandsire threshold models[poster presentation] **Joint ADSA/ASAS Annual Meeting, July 2002**Miller, Bob. Factors affecting fertility traits of Holsteins and Jerseys [poster presentation] Norman, Duane. Comparison of occurence and yields of daughters of progeny test and proven bulls in artificial insemination and natural-service bulls[poster presentation] Norman, Duane. Genetic relationships among fertility traits of Holsteins and JerseysPowell, Rex. Selection differentials from national Holstein bull progeny test programs estimated from international data Van Tassell, Curt. Improvements in dystocia national genetic evaluation system and data processing VanRaden, Paul. Correlations among measures of dairy cattle fertility and longevityWiggans, George. Detection and adjustment of abnormal test-day yields **National Association of Animal Breeder’s Dairy Trade Mission Tour, June 2002**Norman, Duane. AIPL objectives and operations Powell, Rex. Usefulness of international bull evaluations Sanders, Ashley. AIPL on the web[VIEW updated version from NAAB IMC/IP meeting, October 2002] VanRaden, Paul. Economic merit of crossbred and purebred US dairy cattle VanRaden, Paul. Extreme inbreeding at Beltsville, 1912–1949 VanRaden, Paul. Longevity and fertility VanRaden, Paul. Selection of dairy cattle for lifetime profit[VIEW updated version from 7th World Congress on Genetics Applied to Livestock Production, August 2002] Van Tassell, Curt. Application of genetic markers to dairy cattle Wiggans, George. Simultaneous accounting for heterogeneity of (co)variance components in genetic evaluation of type traitsWigans, George. Update on the test-day model Wiggans, George. USDA genetic evaluations for calving ease **Interbull Annual Meeting, May 2002**VanRaden, Paul. Properties of international longevity evaluations and correlations with other traits **Argentine International Dairy Education Tour, May 2002**Powell, Rex. Ventajas de la IA, toros probados y las comparaciones internacionales[in Spanish] **NAAB Dairy Sire Evaluation Committee Meeting, April 2002**Philpot, Jill. Extreme deviationsVanRaden, Paul. Dams of sons report VanRaden, Paul. Extreme inbreeding at Beltsville, 1912–1949 VanRaden, Paul. Measures of fertility: Heritabilities and genetic correlations VanRaden, Paul. Revision and use of termination codes 2001 **NAAB Dairy Sire Evaluation Committee Meeting, October 2001**VanRaden, Paul. Cow fertility and effect on longevity VanRaden, Paul. Implications of crossbreeding on dairy cattle improvement **Genetic Advancement Committee Meeting, October 2001**VanRaden, Paul. Longevity and fertility[VIEW updated version from 2002 NAAB Dairy Trade Mission Tour] **Hungarian International Dairy Education Tour, August 2001**Powell, Rex. Usefulness of international dairy bull evaluations[VIEW updated version from 2002 NAAB Dairy Trade Mission Tour] **International Animal Agriculture and Food Science Conference, July 2001**Norman, Duane. Accuracy of reported birth and calving dates of dairy cattle in the United StatesNorman, Duane. Relationship of somatic cell score with fertility measures Norman, Duane. Timeliness of progeny testing through artificial insemination and percentage of bulls returned to service Powell, Rex. Possible global scale for ranking dairy bulls by blending national rankings VanRaden, Paul. Heterosis and breed differences for yield and somatic cell scores of US dairy cattle in the 1990sWiggans, George. Simultaneous accounting for heterogeneity of (co)variance components in genetic evaluation of type traits Wiggans, George. Variance of effects of lactation stage within herd by herd yield 2000 **ADSA Annual Meeting, July 2000**VanRaden, Paul. Methods to combine information from separate sources 1999 **ADSA Annual Meeting, June 1999**VanRaden, Paul. Adjustment of breeding values for past and future inbreeding


Return to top


Connect with ARS Sign up


ARS Home
                            USDA.gov
                            Plain Writing
                            Policies & Links
                            Civil Rights Statements
                            FOIA
                            Accessibility Statement
                            Privacy Policy
                            Non-Discrimination Statement
                            Quality of Information
                            USA.gov
                            WhiteHouse.gov