Research Topics
| Paul M VanradenSummaryAffiliation: Agricultural Research Service Country: USA Publications
| Collaborators
|
Detail Information
Publications
Invited review: selection on net merit to improve lifetime profitP M Vanraden
Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705 2350, USA
J Dairy Sci 87:3125-31. 2004..Breeding programs should estimate future rather than current costs and prices. Many other nations have derived selection indexes similar to US net merit...- Invited review: reliability of genomic predictions for North American Holstein bullsP M Vanraden
Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705 2350, USA
J Dairy Sci 92:16-24. 2009..Reliability increased more by doubling the number of bulls genotyped than the number of markers genotyped. Genomic prediction improves reliability by tracing the inheritance of genes even with small effects... - International genomic evaluation methods for dairy cattlePaul M Vanraden
Animal Improvement Programs Laboratory, USDA, Building 5 BARC West, Beltsville, MD 20705 2350, USA
Genet Sel Evol 42:7. 2010.... - Genomic inbreeding and relationships among Holsteins, Jerseys, and Brown SwissP M Vanraden
Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705 2350, USA
J Dairy Sci 94:5673-82. 2011..Pedigree relationship matrices ignore common ancestry shared by base animals within breed and may not approximate genomic relationships well in multibreed populations... - Genomic evaluations with many more genotypesPaul M Vanraden
Animal Improvement Programs Laboratory, USDA, Building 5 BARC West, Beltsville, MD 20705 2350, USA
Genet Sel Evol 43:10. 2011..Algorithms to combine different densities need to be efficient because numbers of genotyped animals and markers may continue to grow quickly... - Harmful recessive effects on fertility detected by absence of homozygous haplotypesP M Vanraden
Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705 2350, USA
J Dairy Sci 94:6153-61. 2011..Very large genotypic and phenotypic data sets allow efficient detection of smaller and less frequent effects. Haplotype tests can help breeders avoid carrier matings for such defects and reduce future frequencies... - Genetic evaluations for mixed-breed populationsP M Vanraden
Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705 2350, USA
J Dairy Sci 90:2434-41. 2007..More research and education may be needed on using the new evaluations in the design of breeding programs. Implementation is expected in May 2007... - Genetic evaluation and best prediction of lactation persistencyJ B Cole
Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705 2350, USA
J Dairy Sci 89:2722-8. 2006..Routine genetic evaluations for persistency are feasible and may allow for improved predictions of yield traits. As calving intervals increase, persistency may have greater value... - Genomic characteristics of cattle copy number variationsYali Hou
Bovine Functional Genomics Laboratory, ANRI, USDA ARS, Beltsville, Maryland 20705, USA
BMC Genomics 12:127. 2011..In the dairy industry, a large quantity of SNP genotyping results are becoming available and can be used for CNV discovery to understand and accelerate genetic improvement for complex traits... - Development of a national genetic evaluation for cow fertilityP M Vanraden
Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705-2350, USA. paul.aipl.arsusda.gov
J Dairy Sci 87:2285-92. 2004..Thus, recent selection for longevity may have slowed the long-term decline in fertility. Direct selection for fertility could halt or reverse the decline... - Economic merit of crossbred and purebred US dairy cattleP M Vanraden
Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705 2350, USA
J Dairy Sci 86:1036-44. 2003..A combined national evaluation of data for all breeds and crossbreds may be desirable but would require an extensive programming effort. Animals should receive credit for heterosis when considered as mates for another breed... - Productive life including all lactations and longer lactations with diminishing creditsP M Vanraden
Animal Improvement Programs Laboratory AIPL, Agricultural Research Service, USDA, Beltsville, MD 20705 2350, USA
J Dairy Sci 89:3213-20. 2006..The PL with diminishing credits, which was favorable in both economic and genetic aspects, was desirable in crediting cows for complete lactations... - Effectiveness of national and regional sire evaluations in predicting future-daughter milk yieldH D Norman
Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705, USA
J Dairy Sci 88:812-26. 2005..Reliance on regional rather than national evaluations would reduce current US genetic gains... - Impact of maturity rate of daughters on genetic ranking of Holstein bullsH D Norman
Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705 2350, USA
J Dairy Sci 88:3337-45. 2005..Results suggested that a modification to the current evaluation model to account for maturity rate should reduce fluctuations in individual bull PTA across time and may improve accuracy of evaluations... - Selection and management of DNA markers for use in genomic evaluationG R Wiggans
Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705 2350, USA
J Dairy Sci 93:2287-92. 2010.... - Visualization of results from genomic evaluationsJ B Cole
Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705 2350, USA
J Dairy Sci 93:2727-40. 2010..These graphics are easily produced automatically and added to online query systems, providing users with novel information at little cost... - Selection of single-nucleotide polymorphisms and quality of genotypes used in genomic evaluation of dairy cattle in the United States and CanadaG R Wiggans
Agricultural Research Service, USDA, Beltsville, MD 20705 2350, USA
J Dairy Sci 92:3431-6. 2009..Genotypes from the Illumina BovineSNP50 BeadChip are of high accuracy and provide the basis for genomic evaluations in the United States and Canada... - Distribution and location of genetic effects for dairy traitsJ B Cole
Animal Improvement Programs Laboratory, ARS, USDA, Beltsville, MD 20705 2350, USA
J Dairy Sci 92:2931-46. 2009..Results validate quantitative genetic assumptions that most traits are due to the contributions of a large number of genes of small additive effect, rather than support the finite locus model... - Genetic and environmental factors that affect gestation length in dairy cattleH D Norman
Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705 2350, USA
J Dairy Sci 92:2259-69. 2009..However, intentional selection for either shorter or longer GL is not recommended without consideration of its possible effect on other dependent traits (e.g., calving ease and stillbirth)... - Best prediction of yields for long lactationsJ B Cole
Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705 2350, USA
J Dairy Sci 92:1796-810. 2009..Many cows can profitably produce for >305 DIM, and the revised program provides a flexible tool to model these records... - Consistency of maturity rate for milk yield across countries and generationsH D Norman
Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705 2350, USA
J Dairy Sci 90:3937-44. 2007.... - International dairy bull evaluations expressed on national, subglobal, and global scalesR L Powell
Agricultural Research Service, United States Department of Agriculture, Beltsville, MD 20705 2350, USA
J Dairy Sci 85:1863-8. 2002..If conditions in non-participating countries are generally represented by participating countries, most needs are met by a global scale... - Detection of quantitative trait loci affecting milk production, health, and reproductive traits in Holstein cattleM S Ashwell
United States Department of Agriculture Agricultural Research Service, Bovine Functional Genomics Laboratory, Beltsville, MD 20705, USA
J Dairy Sci 87:468-75. 2004..These findings may help identify the most useful markers available for QTL detection and, eventually, for marker-assisted selection for improvement of these economically important traits... - Use of early lactation days open records for genetic evaluation of cow fertilityM T Kuhn
Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705 2350, USA
J Dairy Sci 87:2277-84. 2004..The earlier use of data increased reliability by about 5% for sires between the ages of 4 and 5 yr. The USDA began using predicted days open for records that are at least 130 DIM in national evaluations starting November, 2003... - Stillbirth (co)variance components for a sire-maternal grandsire threshold model and development of a calving ability index for sire selectionJ B Cole
Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705 2350, USA
J Dairy Sci 90:2489-96. 2007..02 (0.16). A calving ability index combining stillbirth (SB) and calving ease (CE) was developed for inclusion in the Lifetime Net Merit index. The index was calculated as -4(sire CE)-3(daughter CE)-4(sire SB) -8(daughter SB)... - Technical note: detection and adjustment of abnormal test-day yieldsG R Wiggans
Animal Improvement Programs Laboratory, Agricultural Research Service USDA, Beltsville, MD 20705 2350, USA
J Dairy Sci 86:2721-4. 2003..686 to 0.694 for protein (488,653 lactation pairs). Outlier adjustment improved the correlation between consecutive lactation yields and is applied routinely to TD records of cows for calvings since 1997... - Genetic evaluation of calving ease for Brown Swiss and Jersey bulls from purebred and crossbred calvingsJ B Cole
Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705 2350, USA
J Dairy Sci 88:1529-39. 2005..Correlations among solutions and evaluations showed HO evaluations were not adversely affected by BS data and BS sires were reranked as compared with the BS-only evaluation... - Efficient methods to compute genomic predictionsP M Vanraden
Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705 2350, USA
J Dairy Sci 91:4414-23. 2008..Actual gains may differ because the simulation did not account for linkage disequilibrium in the base population or selection in subsequent generations... - Effects of nonadditive genetic interactions, inbreeding, and recessive defects on embryo and fetal loss by seventy daysP M Vanraden
Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705 2350, USA
J Dairy Sci 89:2716-21. 2006..Further study of the families with largest negative interactions could uncover new recessive defects... - Genetic evaluation of stillbirth in United States Holsteins using a sire-maternal grandsire threshold modelJ B Cole
Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705 2350, USA
J Dairy Sci 90:2480-8. 2007..There was no evidence of a genetic trend for either trait. More complete recording of stillbirth scores would improve reliabilities and could allow for evaluations of other breeds...