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Volumn 4, Issue 12, 2014, Pages 2317-2328

Influence of outliers on accuracy estimation in genomic prediction in plant breeding

Author keywords

Accuracy estimation; Accuracy heritability; Genomic prediction; GenPred shared data resource; Outliers predictive

Indexed keywords

ACCURACY; ARTICLE; BREEDING; GENETIC OUTLIERS; GENETIC PARAMETERS; GENETIC VARIABILITY; GENOMICS; GENOTYPE; HERITABILITY; MEASUREMENT ERROR; NONHUMAN; PHENOTYPE; PLANT BREEDING; PLANT GENOME; PREDICTION; PREDICTIVE VALUE; SIMULATION; BIOLOGICAL MODEL; DIAGNOSIS RELATED GROUP; GENETICS; PLANT;

EID: 84916889887     PISSN: None     EISSN: 21601836     Source Type: Journal    
DOI: 10.1534/g3.114.011957     Document Type: Article
Times cited : (22)

References (33)
  • 2
    • 0003586870 scopus 로고
    • Plots, Transformations, and Regression: An Introduction to Graphical Methods of Diagnostic Regression Analysis
    • Oxford, UK
    • Atkinson, A. C., 1985 Plots, Transformations, and Regression: An Introduction to Graphical Methods of Diagnostic Regression Analysis, Clarendon Press, Oxford, UK.
    • (1985) Clarendon Press
    • Atkinson, A.C.1
  • 3
    • 0003713797 scopus 로고    scopus 로고
    • Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
    • New Jersey
    • Belsley, D. E., R. E. Welsh, and E. Kuh, 2005 Regression Diagnostics: Identifying Influential Data and Sources of Collinearity, John Wiley and Sons, New Jersey.
    • (2005) John Wiley and Sons
    • Belsley, D.E.1    Welsh, R.E.2    Kuh, E.3
  • 4
    • 34548176501 scopus 로고    scopus 로고
    • Prospects for genomewide selection for quantitative traits in maize
    • Bernardo R, J. Yu, 2007 Prospects for genomewide selection for quantitative traits in maize. Crop Sci. 47: 1082-1090.
    • (2007) Crop Sci , vol.47 , pp. 1082-1090
    • Bernardo, R.1    Yu, J.2
  • 5
    • 77952570570 scopus 로고    scopus 로고
    • Multivariate outlier detection with high break-down estimators
    • Cerioli, A., 2010 Multivariate outlier detection with high break-down estimators. J. Am. Stat. Assoc. 105: 147-156.
    • (2010) J. Am. Stat. Assoc , vol.105 , pp. 147-156
    • Cerioli, A.1
  • 6
    • 77958046457 scopus 로고    scopus 로고
    • Error rates for multivariate outlier detection
    • Cerioli, A., and A. Farcomeni, 2011 Error rates for multivariate outlier detection. Comput. Stat. Data Anal. 55: 544-553.
    • (2011) Comput. Stat. Data Anal , vol.55 , pp. 544-553
    • Cerioli, A.1    Farcomeni, A.2
  • 7
    • 84952094529 scopus 로고
    • Detection of influential observations in linear regression
    • Cook, R. D., 1977 Detection of influential observations in linear regression. Technometrics 19: 15-18.
    • (1977) Technometrics , vol.19 , pp. 15-18
    • Cook, R.D.1
  • 8
    • 33746313097 scopus 로고
    • Residuals and Influence in Regression
    • New York
    • Cook, R. D., and S. Weisberg, 1982 Residuals and Influence in Regression. Chapman and Hall, New York.
    • (1982) Chapman and Hall
    • Cook, R.D.1    Weisberg, S.2
  • 9
    • 33747745268 scopus 로고    scopus 로고
    • On the design of early generation variety trials with correlated data
    • Cullis B. R., A. Smith, N. Coombes, 2006 On the design of early generation variety trials with correlated data. J. Agric. Biol. Environ. Stat. 11: 381-393.
    • (2006) J. Agric. Biol. Environ. Stat , vol.11 , pp. 381-393
    • Cullis, B.R.1    Smith A.Coombes, N.2
  • 10
    • 36849039475 scopus 로고    scopus 로고
    • Prediction of response to marker-assisted and genomic selection using selection index theory
    • Dekkers J. C. M., 2007 Prediction of response to marker-assisted and genomic selection using selection index theory. J. Anim. Breed. Genet. 124: 331-341.
    • (2007) J. Anim. Breed. Genet , vol.124 , pp. 331-341
    • Dekkers, J.C.M.1
  • 11
    • 84889057158 scopus 로고    scopus 로고
    • Evaluation of approaches for estimating the accuracy of genomic prediction in plant breeding
    • Estaghvirou, S. B. O., J. O. Ogutu, T. Schulz-Streeck, C. Knaak, M. Ouzunova et al., 2013 Evaluation of approaches for estimating the accuracy of genomic prediction in plant breeding. BMC Genomics 14: 860.
    • (2013) BMC Genomics , vol.14 , pp. 860
    • Estaghvirou, S.B.O.1    Ogutu, J.O.2    Schulz-Streeck, T.3    Knaak, C.4    Ouzunova, M.5
  • 12
    • 42249097152 scopus 로고    scopus 로고
    • Identification of multivariate outliers: A performance study
    • Filzmoser, G., 2005 Identification of multivariate outliers: A performance study. Aust. J. Stat. 34: 127-138.
    • (2005) Aust. J. Stat , vol.34 , pp. 127-138
    • Filzmoser, G.1
  • 14
    • 84872657253 scopus 로고    scopus 로고
    • Broad-sense heritability in mixed models for grapevine initial selection trials
    • Gonçalves E, I. Carrasquinho, A. St Aubyn, A. Martins, 2013 Broad-sense heritability in mixed models for grapevine initial selection trials. Euphytica 189: 379-391.
    • (2013) Euphytica , vol.189 , pp. 379-391
    • Gonçalves, E.1    Carrasquinho, I.2    St Aubyn, A.3    Martins, A.4
  • 15
    • 0005260819 scopus 로고
    • Comparison of alternative sire evaluation methods
    • Henderson, C. R., 1975 Comparison of alternative sire evaluation methods. J. Anim. Sci. 41: 760-770.
    • (1975) J. Anim. Sci , vol.41 , pp. 760-770
    • Henderson, C.R.1
  • 16
    • 0003502266 scopus 로고
    • Applications of Linear Models in Animal Breeding
    • University of Guelph, Guelph, Ontario
    • Henderson C.R., 1984 Applications of Linear Models in Animal Breeding, University of Guelph, Guelph, Ontario. ISBN 0-88955-030-1.
    • (1984)
    • Henderson, C.R.1
  • 17
    • 84876436922 scopus 로고    scopus 로고
    • Using genomic prediction to characterize environments and optimize prediction accuracy in applied breeding data
    • Heslot, N., J. L. Jannink, and M. E. Sorrells, 2013 Using genomic prediction to characterize environments and optimize prediction accuracy in applied breeding data. Crop Sci. 53: 921-933.
    • (2013) Crop Sci , vol.53 , pp. 921-933
    • Heslot, N.1    Jannink, J.L.2    Sorrells, M.E.3
  • 19
    • 84899416406 scopus 로고    scopus 로고
    • M-regression, false discovery rates and outlier detection with application to genetic association studies
    • Lourenço, V. M., and A. M. Pires, 2014 M-regression, false discovery rates and outlier detection with application to genetic association studies. Comput. Stat. Data Anal. 78: 33-42.
    • (2014) Comput. Stat. Data Anal , vol.78 , pp. 33-42
    • Lourenço, V.M.1    Pires, A.M.2
  • 21
    • 0035045051 scopus 로고    scopus 로고
    • Prediction of total genetic value using genome-wide dense marker map
    • Meuwissen, T. H. E., B. J. Hayes, and M. E. Goddard, 2001 Prediction of total genetic value using genome-wide dense marker map. Genetics 157: 1819-1829.
    • (2001) Genetics , vol.157 , pp. 1819-1829
    • Meuwissen, T.H.E.1    Hayes, B.J.2    Goddard, M.E.3
  • 24
    • 84860003102 scopus 로고    scopus 로고
    • Efficient computation of ridge-regression best linear unbiased prediction in genomic selection in plant breeding
    • Piepho, H. P., J. O. Ogutu, T. Schulz-Streeck, S. B. O. Estaghvirou, and A. Gordillo, 2012b Efficient computation of ridge-regression best linear unbiased prediction in genomic selection in plant breeding. Crop Sci. 52: 1093-1104.
    • (2012) Crop Sci , vol.52 , pp. 1093-1104
    • Piepho, H.P.1    Ogutu, J.O.2    Schulz-Streeck, T.3    Estaghvirou, S.B.O.4    Gordillo, A.5
  • 25
    • 67849083102 scopus 로고    scopus 로고
    • Ridge regression and extensions for genomewide selection in maize
    • Piepho H. P., 2009 Ridge regression and extensions for genomewide selection in maize. Crop Sci. 49: 1165-1176.
    • (2009) Crop Sci , vol.49 , pp. 1165-1176
    • Piepho, H.P.1
  • 26
    • 37249082900 scopus 로고    scopus 로고
    • Computing heritability and selection response from unbalanced plant breeding trials
    • Piepho H.P., J. Möhring, 2007 Computing heritability and selection response from unbalanced plant breeding trials. Genetics 177: 1881-1888.
    • (2007) Genetics , vol.177 , pp. 1881-1888
    • Piepho, H.P.1    Möhring, J.2
  • 27
    • 77956892162 scopus 로고    scopus 로고
    • SAS System for Windows
    • Version 9.4, SAS Institute Inc., Cary, NC.
    • SAS Institute, 2014 SAS System for Windows, Version 9.4, SAS Institute Inc., Cary, NC.
    • (2014)
  • 29
  • 30
    • 55849133422 scopus 로고    scopus 로고
    • Efficient methods to compute genomic predictions
    • Van Raden, P. M., 2008 Efficient methods to compute genomic predictions. J. Dairy Sci. 91: 4414-4423.
    • (2008) J. Dairy Sci , vol.91 , pp. 4414-4423
    • Van Raden, P.M.1
  • 31
    • 84868210230 scopus 로고    scopus 로고
    • Localizing FSToutliers on a QTL map reveals evidence for large genomic regions of reduced gene exchange during speciation-with-gene-flow
    • Via, S., G. Conte, C. Mason-Foley, and K. Mills, 2012 Localizing FSToutliers on a QTL map reveals evidence for large genomic regions of reduced gene exchange during speciation-with-gene-flow. Mol. Ecol. 21: 5546-5560.
    • (2012) Mol. Ecol , vol.21 , pp. 5546-5560
    • Via, S.1    Conte, G.2    Mason-Foley, C.3    Mills, K.4
  • 32
    • 0034113697 scopus 로고    scopus 로고
    • Marker-assisted selection using ridge regression
    • Whittaker, J. C., R. Thomson, and M. C. Denham, 2000 Marker-assisted selection using ridge regression. Genet. Res. 75: 249-252.
    • (2000) Genet. Res , vol.75 , pp. 249-252
    • Whittaker, J.C.1    Thomson, R.2    Denham, M.C.3
  • 33
    • 33947520582 scopus 로고    scopus 로고
    • Influence diagnostics for linear mixed models
    • Zewotir, T., and J. S. Galpin, 2005 Influence diagnostics for linear mixed models. J. Data Sci. 3: 153-177.
    • (2005) J. Data Sci , vol.3 , pp. 153-177
    • Zewotir, T.1    Galpin, J.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.