Kent A Weigel

Summary

Affiliation: University of Wisconsin
Country: USA

Publications

  1. ncbi Prospects for improving reproductive performance through genetic selection
    Kent A Weigel
    Department of Dairy Science, University of Wisconsin, 1675 Observatory Drive, Madison, WI 53706, USA
    Anim Reprod Sci 96:323-30. 2006
  2. ncbi Potential gains in lifetime net merit from genomic testing of cows, heifers, and calves on commercial dairy farms
    K A Weigel
    Department of Dairy Science, University of Wisconsin, Madison 53706, USA
    J Dairy Sci 95:2215-25. 2012
  3. ncbi Genomic evaluations with many more genotypes
    Paul M Vanraden
    Animal Improvement Programs Laboratory, USDA, Building 5 BARC West, Beltsville, MD 20705 2350, USA
    Genet Sel Evol 43:10. 2011
  4. ncbi Accuracy of direct genomic values derived from imputed single nucleotide polymorphism genotypes in Jersey cattle
    K A Weigel
    Department of Dairy Science, University of Wisconsin, Madison, Wisconsin 53706, USA
    J Dairy Sci 93:5423-35. 2010
  5. ncbi Prediction of unobserved single nucleotide polymorphism genotypes of Jersey cattle using reference panels and population-based imputation algorithms
    K A Weigel
    Department of Dairy Science, University of Wisconsin, Madison, Wisconsin 53706, USA
    J Dairy Sci 93:2229-38. 2010
  6. ncbi Predictive ability of direct genomic values for lifetime net merit of Holstein sires using selected subsets of single nucleotide polymorphism markers
    K A Weigel
    Department of Dairy Science, University of Wisconsin, Madison 53706, USA
    J Dairy Sci 92:5248-57. 2009
  7. ncbi Application of support vector regression to genome-assisted prediction of quantitative traits
    Nanye Long
    Department of Animal Sciences, University of Wisconsin, 1675 Observatory Dr, Animal Science Bldg, Madison, WI 53706, USA
    Theor Appl Genet 123:1065-74. 2011
  8. ncbi Radial basis function regression methods for predicting quantitative traits using SNP markers
    Nanye Long
    Department of Animal Sciences, University of Wisconsin, Madison, WI 53706, USA
    Genet Res (Camb) 92:209-25. 2010
  9. ncbi Predicting complex quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat
    Daniel Gianola
    Dept of Animal Sciences, University of Wisconsin, Madison, WI 53706, USA
    BMC Genet 12:87. 2011
  10. ncbi Long-term impacts of genome-enabled selection
    Nanye Long
    Department of Animal Sciences, University of Wisconsin Madison, WI 53706, USA
    J Appl Genet 52:467-80. 2011

Detail Information

Publications19

  1. ncbi Prospects for improving reproductive performance through genetic selection
    Kent A Weigel
    Department of Dairy Science, University of Wisconsin, 1675 Observatory Drive, Madison, WI 53706, USA
    Anim Reprod Sci 96:323-30. 2006
    ..Such systems will allow selection of animals that can remain healthy and fertile while producing large quantities of milk...
  2. ncbi Potential gains in lifetime net merit from genomic testing of cows, heifers, and calves on commercial dairy farms
    K A Weigel
    Department of Dairy Science, University of Wisconsin, Madison 53706, USA
    J Dairy Sci 95:2215-25. 2012
    ....
  3. ncbi Genomic evaluations with many more genotypes
    Paul 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...
  4. ncbi Accuracy of direct genomic values derived from imputed single nucleotide polymorphism genotypes in Jersey cattle
    K A Weigel
    Department of Dairy Science, University of Wisconsin, Madison, Wisconsin 53706, USA
    J Dairy Sci 93:5423-35. 2010
    ..San Diego, CA) in Jersey cattle. However, if fewer than 1,500 SNP are genotyped, the accuracy of DGV may be limited by errors in the imputed genotypes of selection candidates...
  5. ncbi Prediction of unobserved single nucleotide polymorphism genotypes of Jersey cattle using reference panels and population-based imputation algorithms
    K A Weigel
    Department of Dairy Science, University of Wisconsin, Madison, Wisconsin 53706, USA
    J Dairy Sci 93:2229-38. 2010
    ..g., >40,000 SNP) from a reference population. Accurate imputation of high-density genotypes from inexpensive low- or medium-density platforms could greatly enhance the efficiency of whole-genome selection programs in dairy cattle...
  6. ncbi Predictive ability of direct genomic values for lifetime net merit of Holstein sires using selected subsets of single nucleotide polymorphism markers
    K A Weigel
    Department of Dairy Science, University of Wisconsin, Madison 53706, USA
    J Dairy Sci 92:5248-57. 2009
    ....
  7. ncbi Application of support vector regression to genome-assisted prediction of quantitative traits
    Nanye Long
    Department of Animal Sciences, University of Wisconsin, 1675 Observatory Dr, Animal Science Bldg, Madison, WI 53706, USA
    Theor Appl Genet 123:1065-74. 2011
    ..It is concluded that a nonlinear RBF kernel may be an optimal choice for SVR, especially when phenotypes to be predicted have a nonlinear dependency on genotypes, as it might have been the case in the wheat data...
  8. ncbi Radial basis function regression methods for predicting quantitative traits using SNP markers
    Nanye Long
    Department of Animal Sciences, University of Wisconsin, Madison, WI 53706, USA
    Genet Res (Camb) 92:209-25. 2010
    ..Extension of Bayes A to include all additive, dominance and epistatic effects could improve its prediction accuracy. RBF I was generally better than RBF II, and was able to identify relevant SNPs in the toy example...
  9. ncbi Predicting complex quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat
    Daniel Gianola
    Dept of Animal Sciences, University of Wisconsin, Madison, WI 53706, USA
    BMC Genet 12:87. 2011
    ..ANNs are interesting candidates for analysis of traits affected by cryptic forms of gene action...
  10. ncbi Long-term impacts of genome-enabled selection
    Nanye Long
    Department of Animal Sciences, University of Wisconsin Madison, WI 53706, USA
    J Appl Genet 52:467-80. 2011
    ..Selection changed quantitative trait loci (QTL) allele frequencies and generated new but unfavorable LD for prediction. Family effects had a considerable contribution to GEBV accuracy in early generations of selection...
  11. ncbi Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods
    Gustavo de Los Campos
    University of Wisconsin Madison, 1675 Observatory Drive, WI 53706, USA
    Genet Res (Camb) 92:295-308. 2010
    ....
  12. ncbi Bayesian model averaging for evaluation of candidate gene effects
    Xiao Lin Wu
    Department of Dairy Science, University of Wisconsin, Madison, WI 53706, USA
    Genetica 138:395-407. 2010
    ..Features of the method are demonstrated using a simulated data set with ten candidate genes under consideration...
  13. ncbi Modeling relationships between calving traits: a comparison between standard and recursive mixed models
    Evangelina López de Maturana
    Department of Animal Sciences, University of Wisconsin, Madison, Wisconsin 53706, USA
    Genet Sel Evol 42:1. 2010
    ..All recursive models considered here postulate heterogeneous recursive relationships between GL and liabilities to CD and SB, and between liability to CD and liability to SB, depending on categories of GL phenotype...
  14. ncbi Comparison of classification methods for detecting associations between SNPs and chick mortality
    Nanye Long
    Department of Animal Sciences, University of Wisconsin, Madison, WI 53706, USA
    Genet Sel Evol 41:18. 2009
    ..Use of extreme samples seems to enhance the ability of feature selection procedures to select influential SNPs in genetic association studies...
  15. ncbi Nonparametric methods for incorporating genomic information into genetic evaluations: an application to mortality in broilers
    Oscar González-Recio
    Departamento de Produccion Animal, E T S I Agrónomos Universidad Politécnica de Madrid, 28040 Madrid, Spain
    Genetics 178:2305-13. 2008
    ..Predictive ability, assessed by cross-validation, indicated advantages of the RKHS approach, where accuracy was increased from 25 to 150%, relative to other methods...
  16. ncbi A primer on high-throughput computing for genomic selection
    Xiao Lin Wu
    Department of Dairy Science, University of Wisconsin Madison, WI, USA
    Front Genet 2:4. 2011
    ..Eventually, HTC may change our view of data analysis as well as decision-making in the post-genomic era of selection programs in animals and plants, or in the study of complex diseases in humans...
  17. ncbi Marker-assisted prediction of non-additive genetic values
    Nanye Long
    Department of Animal Sciences, University of Wisconsin Madison, 1675 Observatory Dr Animal Science Bldg, Madison, WI 53706, USA
    Genetica 139:843-54. 2011
    ....
  18. ncbi Genome-assisted prediction of a quantitative trait measured in parents and progeny: application to food conversion rate in chickens
    Oscar González-Recio
    Department of Dairy Science, University of Wisconsin, Madison, WI 53706, USA
    Genet Sel Evol 41:3. 2009
    ..Bayes A and RKHS regression were equally accurate (_r(S)) = 0.27) when all 3481 SNPs were included in the model. However, RKHS with 400 pre-selected informative SNPs was more accurate than Bayes A with all SNPs...
  19. ncbi Exploring biological relationships between calving traits in primiparous cattle with a Bayesian recursive model
    Evangelina López de Maturana
    Department of Animal Sciencs, University of Wisconsin, Madison, Wisconsin 53706, USA
    Genetics 181:277-87. 2009
    ..The model indicated that gestations of approximately 274 days of length (3 days shorter than the average) would lead to the lowest CD and SB and confirmed the existence of an intermediate optimum of GL with respect to these traits...