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Volumn 13, Issue 3, 2012, Pages 225-244

From genotype × environment interaction to gene × environment interaction

Author keywords

Environmental and genotypic covariables; Gene environment interaction; Genomics enable prediction and selection; Genotype environment interaction (GE); Molecular markers (MM); Quantitative Trait Loci (QTL)

Indexed keywords

GENETIC ANALYSIS; GENETIC MARKER; GENETIC MODEL; GENOMICS; GENOTYPE ENVIRONMENT INTERACTION; HUMAN; PHENOTYPE; PLANT BREEDING; REVIEW;

EID: 84860523798     PISSN: 13892029     EISSN: 18755488     Source Type: Journal    
DOI: 10.2174/138920212800543066     Document Type: Review
Times cited : (77)

References (59)
  • 1
    • 0009684592 scopus 로고    scopus 로고
    • Statistical tests and estimators for multiplicative models for cultivar trials
    • In: Kang, M.S.; Gauch, H.G.; Jr. Eds, Boca Raton: CRC Press
    • Cornelius, P.L.; Crossa, J.; Seyedsadr, M. Statistical tests and estimators for multiplicative models for cultivar trials. In: Kang, M.S.; Gauch, H.G.; Jr. Eds., Genotype-by-Environment Interaction. Boca Raton: CRC Press, 1996, pp. 199-234.
    • (1996) Genotype-by-Environment Interaction , pp. 199-234
    • Cornelius, P.L.1    Crossa, J.2    Seyedsadr, M.3
  • 2
    • 0030892374 scopus 로고    scopus 로고
    • Site regression and shifted multiplicative model clustering of cultivar trial sites under heterogeneity of error variances
    • Crossa, J.; P.L. Cornelius. Site regression and shifted multiplicative model clustering of cultivar trial sites under heterogeneity of error variances. Crop Sci., 1997, 37, 406-415.
    • (1997) Crop Sci. , vol.37 , pp. 406-415
    • Crossa, J.1    Cornelius, P.L.2
  • 3
    • 0000502954 scopus 로고
    • Model selection and validation for yield trials with interaction
    • Gauch, H.G. Jr. Model selection and validation for yield trials with interaction. Biometrics, 1988, 44, 705-715.
    • (1988) Biometrics , vol.44 , pp. 705-715
    • Gauch Jr., H.G.1
  • 4
    • 0343145731 scopus 로고    scopus 로고
    • Identifying mega-environments and targeting genotypes
    • Gauch, H.G.; R.W. Zobel. Identifying mega-environments and targeting genotypes. Crop Sci., 1997, 37, 311-326.
    • (1997) Crop Sci. , vol.37 , pp. 311-326
    • Gauch, H.G.1    Zobel, R.W.2
  • 5
    • 77956887176 scopus 로고
    • The biplot graphic display of matrices with application to principal component analysis
    • Gabriel, K.R. The biplot graphic display of matrices with application to principal component analysis. Biometrika, 1971, 58, 453-467.
    • (1971) Biometrika , vol.58 , pp. 453-467
    • Gabriel, K.R.1
  • 6
    • 0001363964 scopus 로고
    • The use of biplots in interpreting variety by environment interactions
    • Kempton, R.A. The use of biplots in interpreting variety by environment interactions. J. Agric. Sci., 1984, 103, 123-135.
    • (1984) J. Agric. Sci. , vol.103 , pp. 123-135
    • Kempton, R.A.1
  • 7
    • 33746087646 scopus 로고    scopus 로고
    • Statistical analysis of yield trials by AMMI and GGE
    • Gauch, H.G. Statistical analysis of yield trials by AMMI and GGE. Crop Sci., 2006, 46, 1488-1500.
    • (2006) Crop Sci. , vol.46 , pp. 1488-1500
    • Gauch, H.G.1
  • 8
    • 18744382798 scopus 로고    scopus 로고
    • An integrated system of biplot analysis for displaying, interpreting, and exploring genotype-by-environment interactions
    • Yan, W.; Tinker, N.A. An integrated system of biplot analysis for displaying, interpreting, and exploring genotype-by-environment interactions. Crop Sci., 2005, 45, 1004-1016.
    • (2005) Crop Sci. , vol.45 , pp. 1004-1016
    • Yan, W.1    Tinker, N.A.2
  • 9
    • 34247244168 scopus 로고    scopus 로고
    • GGE biplot vs. AMMI analysis of genotype-by-environment data
    • Yan, W.; Kang, M.S.; Ma, B.; Woods, S.; Cornelius, P.L. GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Sci., 2007, 47, 643-655.
    • (2007) Crop Sci. , vol.47 , pp. 643-655
    • Yan, W.1    Kang, M.S.2    Ma, B.3    Woods, S.4    Cornelius, P.L.5
  • 10
    • 46849090732 scopus 로고    scopus 로고
    • Statistical analysis of yield trials by AMMI and GGE: Further considerations
    • Gauch, H.G.; Piepho, H.-P.; Annicchiarico, P. Statistical analysis of yield trials by AMMI and GGE: Further considerations. Crop Sci., 2008, 48, 866-889.
    • (2008) Crop Sci. , vol.48 , pp. 866-889
    • Gauch, H.G.1    Piepho, H.-P.2    Annicchiarico, P.3
  • 11
    • 70349223758 scopus 로고    scopus 로고
    • Biplot analysis of genotype × environment interaction: Proceed with caution
    • Yang, R.C.; Crossa, J.; Cornelius, P.L.; Burgueño, J. Biplot analysis of genotype × environment interaction: Proceed with caution. Crop Sci., 2009, 49, 1564-1576.
    • (2009) Crop Sci. , vol.49 , pp. 1564-1576
    • Yang, R.C.1    Crossa, J.2    Cornelius, P.L.3    Burgueño, J.4
  • 12
    • 0031597342 scopus 로고    scopus 로고
    • Methods for comparing the yield stability of cropping systems-a review
    • Piepho, H.P. Methods for comparing the yield stability of cropping systems-a review. J. Agronomy Crop Sci., 1998, 180, 193-213.
    • (1998) J. Agronomy Crop Sci. , vol.180 , pp. 193-213
    • Piepho, H.P.1
  • 13
    • 67849083102 scopus 로고    scopus 로고
    • Ridge regression and extensions for genome-wide selection in maize
    • Piepho, H.P. Ridge regression and extensions for genome-wide selection in maize. Crop Sci., 2009, 49, 1-12.
    • (2009) Crop Sci. , vol.49 , pp. 1-12
    • Piepho, H.P.1
  • 14
    • 1642456033 scopus 로고    scopus 로고
    • Exploring varietyenvironment data using random effects AMMI models with adjustment for spatial field trends: Part 1: Theory
    • In: Kang, M.S. (Ed.), CABI Publishing, Oxford
    • Smith, A.; Cullis, B.R.; Thompson, R. Exploring varietyenvironment data using random effects AMMI models with adjustment for spatial field trends: Part 1: Theory. In: Kang, M.S. (Ed.), Quantitative Genetics, Genomics and Plant Breeding. CABI Publishing, Oxford, 2002.
    • (2002) Quantitative Genetics, Genomics and Plant Breeding
    • Smith, A.1    Cullis, B.R.2    Thompson, R.3
  • 15
    • 30444432667 scopus 로고    scopus 로고
    • The analysis of crop cultivar breeding and evaluation trials: An overview of current mixed model approaches
    • Smith, A.B.; Cullis, B.R.; Thompson, R. The analysis of crop cultivar breeding and evaluation trials: An overview of current mixed model approaches. J. Agric. Sci., 2005, 143, 1-14.
    • (2005) J. Agric. Sci. , vol.143 , pp. 1-14
    • Smith, A.B.1    Cullis, B.R.2    Thompson, R.3
  • 16
    • 33746061693 scopus 로고    scopus 로고
    • Modeling genotype × environment interaction using additive genetic covariances of relatives for predicting breeding values of wheat genotypes
    • Crossa, J.; Burgueño, J.; Cornelius, P.L.; McLaren, G.; Trethowan, R.; Krishnamachari, A. Modeling genotype × environment interaction using additive genetic covariances of relatives for predicting breeding values of wheat genotypes. Crop Sci., 2006, 46, 1722-1733.
    • (2006) Crop Sci. , vol.46 , pp. 1722-1733
    • Crossa, J.1    Burgueño, J.2    Cornelius, P.L.3    McLaren, G.4    Trethowan, R.5    Krishnamachari, A.6
  • 17
    • 18744366974 scopus 로고    scopus 로고
    • Best linear unbiased prediction of cultivar effects for subdivided target regions
    • Piepho, H.P.; Mohring, J. Best linear unbiased prediction of cultivar effects for subdivided target regions. Crop Sci., 2005, 45, 1151-1159.
    • (2005) Crop Sci. , vol.45 , pp. 1151-1159
    • Piepho, H.P.1    Mohring, J.2
  • 18
    • 33847284571 scopus 로고    scopus 로고
    • Modeling additive × environment and additive × additive × environment using genetic covariances of relatives of wheat genotypes
    • Burgueño, J.; Crossa, J.; Cornelius, P.L.; Trethowan, R.; McLaren, G.; Krishnamachari, A. Modeling additive × environment and additive × additive × environment using genetic covariances of relatives of wheat genotypes. Crop Sci., 2007, 43, 311-320.
    • (2007) Crop Sci. , vol.43 , pp. 311-320
    • Burgueño, J.1    Crossa, J.2    Cornelius, P.L.3    Trethowan, R.4    McLaren, G.5    Krishnamachari, A.6
  • 19
    • 49149089736 scopus 로고    scopus 로고
    • Using factor analytic models for joining environments and genotypes without crossover genotype × environment interaction
    • Burgueño, J.; Crossa, J.; Cornelius, P.L.; Yang, R.-C. Using factor analytic models for joining environments and genotypes without crossover genotype × environment interaction. Crop Sci., 2008, 48, 1291-1305.
    • (2008) Crop Sci. , vol.48 , pp. 1291-1305
    • Burgueño, J.1    Crossa, J.2    Cornelius, P.L.3    Yang, R.-C.4
  • 20
    • 0030898879 scopus 로고    scopus 로고
    • Analyzing genotype-environment data by mixed models with multiplicative terms
    • Piepho, H.-P. Analyzing genotype-environment data by mixed models with multiplicative terms. Biometrics, 1997, 53, 761-767.
    • (1997) Biometrics , vol.53 , pp. 761-767
    • Piepho, H.-P.1
  • 21
    • 0031874045 scopus 로고    scopus 로고
    • Empirical best linear unbiased prediction in cultivar trials using factor analytic variance-covariance structures
    • Piepho, H.-P. Empirical best linear unbiased prediction in cultivar trials using factor analytic variance-covariance structures. Theor. Appl. Genet., 1998, 97 195-201.
    • (1998) Theor. Appl. Genet. , vol.97 , pp. 195-201
    • Piepho, H.-P.1
  • 22
    • 33747628581 scopus 로고    scopus 로고
    • Joint modeling of additive and non-additive genetic line effects in single field trials
    • Oakey, H.; Verbyla, A.; Pitchford, W.; Cullis, B.; Kuchel, H. Joint modeling of additive and non-additive genetic line effects in single field trials. Theor. Appl. Genet., 2006, 113, 809-819.
    • (2006) Theor. Appl. Genet. , vol.113 , pp. 809-819
    • Oakey, H.1    Verbyla, A.2    Pitchford, W.3    Cullis, B.4    Kuchel, H.5
  • 23
    • 0032811688 scopus 로고    scopus 로고
    • Prediction assessment of shrinkage estimators of multiplicative models for multi-environment cultivar trials
    • Cornelius, P.L.; Crossa, J. Prediction assessment of shrinkage estimators of multiplicative models for multi-environment cultivar trials. Crop Sci., 1999, 39, 998-1009.
    • (1999) Crop Sci. , vol.39 , pp. 998-1009
    • Cornelius, P.L.1    Crossa, J.2
  • 24
    • 79955538191 scopus 로고    scopus 로고
    • Prediction assessment of linear mixed models for multienvironment trials
    • Burgueño, J.; Crossa, J.; Miguel Cotes, J.; San Vicente, F.; Das, B. Prediction assessment of linear mixed models for multienvironment trials. Crop Sci., 2011, 51, 944-954.
    • (2011) Crop Sci. , vol.51 , pp. 944-954
    • Burgueño, J.1    Crossa, J.2    Miguel Cotes, J.3    San Vicente, F.4    Das, B.5
  • 25
    • 84971185409 scopus 로고
    • The correlation between relatives on the supposition of Mendelian inheritance
    • Fisher, R.A. The correlation between relatives on the supposition of Mendelian inheritance. Trans. R. Soc. Edinburg., 1918, 52, 399-433.
    • (1918) Trans. R. Soc. Edinburg. , vol.52 , pp. 399-433
    • Fisher, R.A.1
  • 26
    • 4544317910 scopus 로고    scopus 로고
    • Mixed models including environmental covariables for studying QTL by environment interaction
    • Malosetti, M.; Voltas, J.; Romagoza, I.; Ullrich, S.E.; van Eeuwjik, F.A. Mixed models including environmental covariables for studying QTL by environment interaction. Euphytica, 2004, 137, 139-145.
    • (2004) Euphytica , vol.137 , pp. 139-145
    • Malosetti, M.1    Voltas, J.2    Romagoza, I.3    Ullrich, S.E.4    van Eeuwjik, F.A.5
  • 28
    • 0025217786 scopus 로고
    • Efficiency of marker-assisted selection in the improvement of quantitative traits
    • Lande, R.; Thompson, R. Efficiency of marker-assisted selection in the improvement of quantitative traits. Genetics, 1990, 124, 743-756.
    • (1990) Genetics , vol.124 , pp. 743-756
    • Lande, R.1    Thompson, R.2
  • 29
    • 0035045051 scopus 로고    scopus 로고
    • Prediction of total genetic values using genome-wide dense marker maps
    • Meuwissen, T.H.E.; Hayes, B.J.; Goddard, M.E. Prediction of total genetic values using genome-wide dense marker maps. Genetics, 2001, 157, 1819-1829.
    • (2001) Genetics , vol.157 , pp. 1819-1829
    • Meuwissen, T.H.E.1    Hayes, B.J.2    Goddard, M.E.3
  • 30
    • 34548176501 scopus 로고    scopus 로고
    • Prospects for genome-wide selection for quantitative traits in maize
    • Bernardo, R.; Yu, J. Prospects for genome-wide selection for quantitative traits in maize. Crop Sci., 2007, 47, 1082-1090.
    • (2007) Crop Sci. , vol.47 , pp. 1082-1090
    • Bernardo, R.1    Yu, J.2
  • 34
    • 85168500140 scopus 로고    scopus 로고
    • Genomicenabled prediction based on molecular markers and pedigree using the BLR package in R
    • Pérez, P.; de los Campos, G.; Crossa, J.; Gianola, D. Genomicenabled prediction based on molecular markers and pedigree using the BLR package in R. Plant Genome, 2010, 3(2), 106-116.
    • (2010) Plant Genome , vol.3 , Issue.2 , pp. 106-116
    • Pérez, P.1    de los Campos, G.2    Crossa, J.3    Gianola, D.4
  • 35
    • 78649284882 scopus 로고    scopus 로고
    • Genome-wide association and genomic selection in animal breeding
    • Hayes, B.; Goddard, M. Genome-wide association and genomic selection in animal breeding. Genome, 2010, 53, 876-883.
    • (2010) Genome , vol.53 , pp. 876-883
    • Hayes, B.1    Goddard, M.2
  • 36
    • 55849129528 scopus 로고    scopus 로고
    • Genomic measures of relationship and inbreeding
    • VanRaden, P.M. Genomic measures of relationship and inbreeding. Interbull Bulletin, 2007, 37, 33-36.
    • (2007) Interbull Bulletin , vol.37 , pp. 33-36
    • VanRaden, P.M.1
  • 37
    • 84906228734 scopus 로고
    • The analysis of groups of experiments
    • Yates, F.; Cochran, W.G. The analysis of groups of experiments. J. Agric. Sci., 1938, 28, 556-580.
    • (1938) J. Agric. Sci. , vol.28 , pp. 556-580
    • Yates, F.1    Cochran, W.G.2
  • 38
    • 84970558538 scopus 로고
    • The analysis of adaptation in a plant breeding programme
    • Finlay, K.W.; Wilkinson, G.N. The analysis of adaptation in a plant breeding programme. Aust. J. Agric. Res., 1963, 14, 742-754.
    • (1963) Aust. J. Agric. Res. , vol.14 , pp. 742-754
    • Finlay, K.W.1    Wilkinson, G.N.2
  • 39
    • 0001984758 scopus 로고
    • Stability parameter for comparing varieties
    • Eberhart, S.A.; Russell, W.A. Stability parameter for comparing varieties. Crop Sci., 1966, 6, 36-40.
    • (1966) Crop Sci. , vol.6 , pp. 36-40
    • Eberhart, S.A.1    Russell, W.A.2
  • 40
    • 0006903246 scopus 로고
    • The interpretation of interactions in factorial experiments
    • Williams, E.J. The interpretation of interactions in factorial experiments. Biometrika, 1952, 39, 65-81.
    • (1952) Biometrika , vol.39 , pp. 65-81
    • Williams, E.J.1
  • 41
    • 0014265599 scopus 로고
    • A statistical model which combines features of factor analytic and analysis of variance
    • Gollob, H.F. A statistical model which combines features of factor analytic and analysis of variance. Psychometrika, 1968, 33, 73-115.
    • (1968) Psychometrika , vol.33 , pp. 73-115
    • Gollob, H.F.1
  • 42
    • 0014582761 scopus 로고
    • The partitioning of interaction in analysis of variance
    • Mandel, J. The partitioning of interaction in analysis of variance. J. Res. Natl. Bur. Stand., Series B, 1969, 73, 309-328.
    • (1969) J. Res. Natl. Bur. Stand., Series B , vol.73 , pp. 309-328
    • Mandel, J.1
  • 43
    • 0000930139 scopus 로고
    • Least squares approximation of matrices by additive and multiplicative models
    • Gabriel, K.R. Least squares approximation of matrices by additive and multiplicative models. J. R. Stat. Soc. Series B, 1978, 40, 186-196.
    • (1978) J. R. Stat. Soc. Series B , vol.40 , pp. 186-196
    • Gabriel, K.R.1
  • 44
    • 0038867591 scopus 로고    scopus 로고
    • Estimation of general linear-bilinear models for two-way tables
    • Cornelius, P.L.; Seyedsadr, M. Estimation of general linear-bilinear models for two-way tables. J. Stat. Comput. Simul., 1997, 58, 287-322.
    • (1997) J. Stat. Comput. Simul. , vol.58 , pp. 287-322
    • Cornelius, P.L.1    Seyedsadr, M.2
  • 45
    • 33646039536 scopus 로고    scopus 로고
    • Studying crossover genotype × environment interaction using linear-bilinear models and mixed models
    • Crossa, J.; Yang, R.-C.; Cornelius, P.L. Studying crossover genotype × environment interaction using linear-bilinear models and mixed models. J. Agric. Biol. Environ. Stat., 2004, 9, 362-380.
    • (2004) J. Agric. Biol. Environ. Stat. , vol.9 , pp. 362-380
    • Crossa, J.1    Yang, R.-C.2    Cornelius, P.L.3
  • 46
    • 0032811862 scopus 로고    scopus 로고
    • Using partial least squares, factorial regression and AMMI models for interpreting genotype×environment interaction
    • Vargas, M.; Crossa, J.; van Eeuwijk, F.A.; Ramirez, M.E.; Sayre, K. Using partial least squares, factorial regression and AMMI models for interpreting genotype×environment interaction. Crop Sci., 1999, 39, 955-967.
    • (1999) Crop Sci. , vol.39 , pp. 955-967
    • Vargas, M.1    Crossa, J.2    van Eeuwijk, F.A.3    Ramirez, M.E.4    Sayre, K.5
  • 47
    • 27644585818 scopus 로고    scopus 로고
    • Statistical models for genotype by environment data: From conventional ANOVA models to eco-physiological QTL models
    • Van Eeuwijk, F.A.; Malosetti, M.; Yin, X.; Struik, P.C.; Stam, P. Statistical models for genotype by environment data: from conventional ANOVA models to eco-physiological QTL models. Aus. J. Agric. Res., 2005, 56, 883-894.
    • (2005) Aus. J. Agric. Res. , vol.56 , pp. 883-894
    • van Eeuwijk, F.A.1    Malosetti, M.2    Yin, X.3    Struik, P.C.4    Stam, P.5
  • 48
    • 0032827664 scopus 로고    scopus 로고
    • Interpreting genotype×environment interaction in tropical maize using linked molecular markers and environmental covariables
    • Crossa, J.; Vargas, M.; van Eeuwijk, F.A.; Jiang, C.; Edmeades, G.O.; Hoisington, D. Interpreting genotype×environment interaction in tropical maize using linked molecular markers and environmental covariables. Theor. Appl. Genet., 1999, 99, 611-625.
    • (1999) Theor. Appl. Genet. , vol.99 , pp. 611-625
    • Crossa, J.1    Vargas, M.2    van Eeuwijk, F.A.3    Jiang, C.4    Edmeades, G.O.5    Hoisington, D.6
  • 49
    • 0003171535 scopus 로고
    • Two-way analysis using covariates
    • Denis, J.-B. Two-way analysis using covariates. Statistics, 1988, 19, 123-132.
    • (1988) Statistics , vol.19 , pp. 123-132
    • Denis, J.-B.1
  • 50
    • 0001787692 scopus 로고    scopus 로고
    • Incorporating additional information on genotypes and environments in models for two-way genotype by environment tables
    • In Kang, S.; Gauch, H.G. (Eds.), CRC Press, Boca Raton, FL
    • van Eeuwijk, F.A.; Denis, J.-B.; Kang, M.S. Incorporating additional information on genotypes and environments in models for two-way genotype by environment tables. In Kang, S.; Gauch, H.G. (Eds.). Genotype-by-environment interaction. CRC Press, Boca Raton, FL, 1996.
    • (1996) Genotype-by-environment interaction
    • van Eeuwijk, F.A.1    Denis, J.-B.2    Kang, M.S.3
  • 51
    • 33645392019 scopus 로고    scopus 로고
    • Mapping QTLs and QTL × environment interaction for CIMMYT maize drought stress program using factorial regression and partial least squares methods
    • Vargas, M.; van Eeuwijk, F.A.; Crossa, J.; Ribaut, J.M. Mapping QTLs and QTL × environment interaction for CIMMYT maize drought stress program using factorial regression and partial least squares methods. Theor. Appl. Genet., 2006, 112, 1009-1023.
    • (2006) Theor. Appl. Genet. , vol.112 , pp. 1009-1023
    • Vargas, M.1    van Eeuwijk, F.A.2    Crossa, J.3    Ribaut, J.M.4
  • 52
    • 77956899871 scopus 로고    scopus 로고
    • Variants of factorial regression for analysing QTL by environment interaction. Proceedings of the 11th Meeting of the EUCARPIA Section Biometrics in Plant Breeding
    • In Gallais, A.; Dillmann, C.; Goldringer, I. (eds.), Paris, France
    • van Eeuwijk, F.A.; Crossa, J.; Vargas, M.; Ribaut, J.M. Variants of factorial regression for analysing QTL by environment interaction. Proceedings of the 11th Meeting of the EUCARPIA Section Biometrics in Plant Breeding. In Gallais, A.; Dillmann, C.; Goldringer, I. (eds.). Quantitative genetics and breeding methods: the way ahead. Paris, France, 2000.
    • (2000) Quantitative genetics and breeding methods: The way ahead
    • van Eeuwijk, F.A.1    Crossa, J.2    Vargas, M.3    Ribaut, J.M.4
  • 53
    • 42149128810 scopus 로고    scopus 로고
    • A multi-trait multi-environment QTL mixed model with application to drought and nitrogen stress trials in maize (Zea mays L.)
    • Malosetti, M.; Ribaut, J.M.; Vargas, M.; Crossa, J.; van Eeuwijk, F.A. A multi-trait multi-environment QTL mixed model with application to drought and nitrogen stress trials in maize (Zea mays L.). Euphytica, 2008, 161, 241-257.
    • (2008) Euphytica , vol.161 , pp. 241-257
    • Malosetti, M.1    Ribaut, J.M.2    Vargas, M.3    Crossa, J.4    van Eeuwijk, F.A.5
  • 54
    • 0001287271 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the LASSO
    • Tibshirani, R. Regression shrinkage and selection via the LASSO. J. R. Statist. Soc. B., 1996, 58, 267-288.
    • (1996) J. R. Statist. Soc. B. , vol.58 , pp. 267-288
    • Tibshirani, R.1
  • 56
    • 45849117254 scopus 로고    scopus 로고
    • Reproducing kernel Hilbert spaces regression methods for genomic assisted prediction of quantitative traits
    • Gianola, D.; van Kaam, J.B.C.H.M. Reproducing kernel Hilbert spaces regression methods for genomic assisted prediction of quantitative traits. Genetics, 2008, 178, 2289-2303.
    • (2008) Genetics , vol.178 , pp. 2289-2303
    • Gianola, D.1    van Kaam, J.B.C.H.M.2
  • 57
    • 0016704147 scopus 로고
    • Best linear unbiased estimation and prediction under a selection model
    • Henderson, C.R. Best linear unbiased estimation and prediction under a selection model. Biometrics, 1975, 31, 423-447.
    • (1975) Biometrics , vol.31 , pp. 423-447
    • Henderson, C.R.1
  • 58
    • 67849083102 scopus 로고    scopus 로고
    • Ridge regression and extensions for genome-wide selection in maize
    • Piepho, H.P. Ridge regression and extensions for genome-wide selection in maize. Crop Sci., 2009, 49, 1-12.
    • (2009) Crop Sci. , vol.49 , pp. 1-12
    • Piepho, H.P.1
  • 59
    • 84856866301 scopus 로고    scopus 로고
    • Genomic prediction of breeding values when modeling genotype × environment interaction using pedigree and dense molecular markers
    • Burgueño, J.; de los Campos, G.; Weigel, K.; Crossa, J. Genomic prediction of breeding values when modeling genotype × environment interaction using pedigree and dense molecular markers. Crop Sci., 2012, 52 707-719.
    • (2012) Crop Sci. , vol.52 , pp. 707-719
    • Burgueño, J.1    de los Campos, G.2    Weigel, K.3    Crossa, J.4


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