-
1
-
-
84898703876
-
Multi-trait and multi-environment QTL analyses of yield and a set of physiological traits in pepper
-
COI: 1:STN:280:DC%2BC3sflsFeluw%3D%3D, PID: 23903631
-
Alimi NA, Bink MCAM, Dieleman JA, Magán JJ, Wubs AM, Palloix A, van Eeuwijk FA (2013) Multi-trait and multi-environment QTL analyses of yield and a set of physiological traits in pepper. Theor Appl Genet 126(10):2597–2625. doi:10.1007/s00122-013-2160-3
-
(2013)
Theor Appl Genet
, vol.126
, Issue.10
, pp. 2597-2625
-
-
Alimi, N.A.1
Bink, M.C.A.M.2
Dieleman, J.A.3
Magán, J.J.4
Wubs, A.M.5
Palloix, A.6
van Eeuwijk, F.A.7
-
3
-
-
37249055906
-
A mixed-model quantitative trait loci (QTL) analysis for multiple-environment trial data using environmental covariables for QTL-by-environment interactions, with an example in maize
-
PID: 17947443
-
Boer MP, Wright D, Feng L et al (2007) A mixed-model quantitative trait loci (QTL) analysis for multiple-environment trial data using environmental covariables for QTL-by-environment interactions, with an example in maize. Genetics 177:1801–1813. doi:10.1534/genetics.107.071068
-
(2007)
Genetics
, vol.177
, pp. 1801-1813
-
-
Boer, M.P.1
Wright, D.2
Feng, L.3
-
4
-
-
49149089736
-
Using factor analytic models for joining environments and genotypes without crossover genotype × environment interaction
-
Burgueño J, Crossa J, Cornelius PL, Yang R-C (2008) Using factor analytic models for joining environments and genotypes without crossover genotype × environment interaction. Crop Sci 48:1291. doi:10.2135/cropsci2007.11.0632
-
(2008)
Crop Sci
, vol.48
, pp. 1291
-
-
Burgueño, J.1
Crossa, J.2
Cornelius, P.L.3
Yang, R.-C.4
-
5
-
-
79955538191
-
Prediction assessment of linear mixed models for multienvironment trials
-
Burgueño J, Crossa J, Cotes JM et al (2011) Prediction assessment of linear mixed models for multienvironment trials. Crop Sci 51:944. doi:10.2135/cropsci2010.07.0403
-
(2011)
Crop Sci
, vol.51
, pp. 944
-
-
Burgueño, J.1
Crossa, J.2
Cotes, J.M.3
-
6
-
-
84856866301
-
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 (2012) Genomic prediction of breeding values when modeling genotype × environment interaction using pedigree and dense molecular markers. Crop Sci 52:707. doi:10.2135/cropsci2011.06.0299
-
(2012)
Crop Sci
, vol.52
, pp. 707
-
-
Burgueño, J.1
de los Campos, G.2
Weigel, K.3
Crossa, J.4
-
7
-
-
1542543998
-
Estimation of environmental sensitivity of genetic merit for milk production traits using a random regression model
-
COI: 1:CAS:528:DC%2BD3sXptFaisrk%3D, PID: 14672207
-
Calus MPL, Veerkamp RF (2003) Estimation of environmental sensitivity of genetic merit for milk production traits using a random regression model. J Dairy Sci 86:3756–3764
-
(2003)
J Dairy Sci
, vol.86
, pp. 3756-3764
-
-
Calus, M.P.L.1
Veerkamp, R.F.2
-
8
-
-
0036835339
-
Genotype × environment interaction for protein yield in Dutch dairy cattle as quantified by different models
-
COI: 1:CAS:528:DC%2BD38XptlagtLY%3D, PID: 12487479
-
Calus MPL, Groen AF, De Jong G (2002) Genotype × environment interaction for protein yield in Dutch dairy cattle as quantified by different models. J Dairy Sci 85:3115–3123
-
(2002)
J Dairy Sci
, vol.85
, pp. 3115-3123
-
-
Calus, M.P.L.1
Groen, A.F.2
De Jong, G.3
-
9
-
-
0000046644
-
An extension of the concept of partitioning hereditary variance for analysis of covariances among relatives when epistasis is present
-
COI: 1:STN:280:DC%2BD2s%2FmsFGjsw%3D%3D, PID: 17247525
-
Cockerham CC (1954) An extension of the concept of partitioning hereditary variance for analysis of covariances among relatives when epistasis is present. Genetics 39:859–882
-
(1954)
Genetics
, vol.39
, pp. 859-882
-
-
Cockerham, C.C.1
-
10
-
-
0009684592
-
Statistical tests and estimators of multiplicative models for genotype-by-environment interaction
-
CRC Press, Baco Raton
-
Cornelius P, Crossa J, Seyedsadr M (1996) Statistical tests and estimators of multiplicative models for genotype-by-environment interaction. In: Gauch HG, Kang M (eds) Genotype-by-environment interaction. CRC Press, Baco Raton, pp 199–234
-
(1996)
Genotype-by-environment interaction
, pp. 199-234
-
-
Cornelius, P.1
Crossa, J.2
Seyedsadr, M.3
Gauch, H.G.4
Kang, M.5
-
11
-
-
84860523798
-
From genotype × environment interaction to gene × environment interaction
-
COI: 1:CAS:528:DC%2BC38XnsVWjtbo%3D, PID: 23115524
-
Crossa J (2012) From genotype × environment interaction to gene × environment interaction. Curr Genomics 13:225–244. doi:10.2174/138920212800543066
-
(2012)
Curr Genomics
, vol.13
, pp. 225-244
-
-
Crossa, J.1
-
12
-
-
0030892374
-
Sites regression and shifted multiplicative model clustering of cultivar trial sites under heterogeneity of error variances
-
Crossa J, Cornelius PL (1997) Sites regression and shifted multiplicative model clustering of cultivar trial sites under heterogeneity of error variances. Crop Sci 37:406–415. doi:10.2135/cropsci1997.0011183X003700020017x
-
(1997)
Crop Sci
, vol.37
, pp. 406-415
-
-
Crossa, J.1
Cornelius, P.L.2
-
13
-
-
0032827664
-
Interpreting genotype × environment interaction in tropical maize using linked molecular markers and environmental covariables
-
COI: 1:STN:280:DC%2BC38novVCrtQ%3D%3D, PID: 22665197
-
Crossa J, Vargas M, van Eeuwijk FA et al (1999) Interpreting genotype × environment interaction in tropical maize using linked molecular markers and environmental covariables. Theor Appl Genet 99:611–625. doi:10.1007/s001220051276
-
(1999)
Theor Appl Genet
, vol.99
, pp. 611-625
-
-
Crossa, J.1
Vargas, M.2
van Eeuwijk, F.A.3
-
14
-
-
33646039536
-
Studying crossover genotype × environment interaction using linear-bilinear models and mixed models
-
Crossa J, Yang R-C, Cornelius PL (2004) Studying crossover genotype × environment interaction using linear-bilinear models and mixed models. J Agric Biol Environ Stat 9:362–380. doi:10.2307/1400487
-
(2004)
J Agric Biol Environ Stat
, vol.9
, pp. 362-380
-
-
Crossa, J.1
Yang, R.-C.2
Cornelius, P.L.3
-
15
-
-
33746061693
-
Modeling genotype × environment interaction using additive genetic covariances of relatives for predicting breeding values of wheat genotypes
-
Crossa J, Burgueño J, Cornelius PL et al (2006) Modeling genotype × environment interaction using additive genetic covariances of relatives for predicting breeding values of wheat genotypes. Crop Sci 46:1722. doi:10.2135/cropsci2005.11-0427
-
(2006)
Crop Sci
, vol.46
, pp. 1722
-
-
Crossa, J.1
Burgueño, J.2
Cornelius, P.L.3
-
16
-
-
78649325488
-
Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers
-
COI: 1:CAS:528:DC%2BC3cXhsFOnt7jM, PID: 20813882
-
Crossa J, de los Campos G, Pérez P et al (2010) Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers. Genetics 186:713–724. doi:10.1534/genetics.110.118521
-
(2010)
Genetics
, vol.186
, pp. 713-724
-
-
Crossa, J.1
de los Campos, G.2
Pérez, P.3
-
17
-
-
79957438630
-
Genomic selection and prediction in plant breeding
-
Crossa J, Pérez P, de los Campos G et al (2011) Genomic selection and prediction in plant breeding. J Crop Improv 25:239–261. doi:10.1080/15427528.2011.558767
-
(2011)
J Crop Improv
, vol.25
, pp. 239-261
-
-
Crossa, J.1
Pérez, P.2
de los Campos, G.3
-
18
-
-
84939138780
-
-
Bayesian generalized linear regression, R package version
-
de los Campos G, Perez-Rodriguez P (2013) BGLR: Bayesian generalized linear regression. R package version. http://R-Forge.R-project.org/projects/bglr/
-
(2013)
BGLR
-
-
de los Campos, G.1
Perez-Rodriguez, P.2
-
19
-
-
67849130524
-
Predicting quantitative traits with regression models for dense molecular markers and pedigree
-
de los Campos G, Naya H, Gianola D et al (2009) Predicting quantitative traits with regression models for dense molecular markers and pedigree. Genetics 182:375–385. doi:10.1534/genetics.109.101501
-
(2009)
Genetics
, vol.182
, pp. 375-385
-
-
de los Campos, G.1
Naya, H.2
Gianola, D.3
-
20
-
-
78951477718
-
Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods
-
de los Campos G, Gianola D, Rosa GJM et al (2010) Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods. Genet Res 92:295–308. doi:10.1017/S0016672310000285
-
(2010)
Genet Res
, vol.92
, pp. 295-308
-
-
de los Campos, G.1
Gianola, D.2
Rosa, G.J.M.3
-
21
-
-
0003171535
-
Two way analysis using covariates
-
Denis JB (1988) Two way analysis using covariates. Statistics 19:123–132
-
(1988)
Statistics
, vol.19
, pp. 123-132
-
-
Denis, J.B.1
-
23
-
-
54049110614
-
Studies in crop variation. II. The manurial response of different potato varieties
-
Fisher RA, Mackenzie WA (1923) Studies in crop variation. II. The manurial response of different potato varieties. J Agric Sci 13:311–320. doi:10.1017/S0021859600003592
-
(1923)
J Agric Sci
, vol.13
, pp. 311-320
-
-
Fisher, R.A.1
Mackenzie, W.A.2
-
24
-
-
0000502954
-
Model selection and validation for yield trials with interaction
-
Gauch HG (1988) Model selection and validation for yield trials with interaction. Biometrics 44:705–715. doi:10.2307/2531585
-
(1988)
Biometrics
, vol.44
, pp. 705-715
-
-
Gauch, H.G.1
-
25
-
-
0014265599
-
A statistical model which combines features of factor analytic and analysis of variance techniques
-
COI: 1:STN:280:DyaF1c3jvVejuw%3D%3D, PID: 5239571
-
Gollob HF (1968) A statistical model which combines features of factor analytic and analysis of variance techniques. Psychometrika 33:73–115. doi:10.1007/BF02289676
-
(1968)
Psychometrika
, vol.33
, pp. 73-115
-
-
Gollob, H.F.1
-
26
-
-
0001428582
-
Joint analysis of genotypic and environmental effects
-
Gregorius H-R, Namkoong G (1986) Joint analysis of genotypic and environmental effects. Theor Appl Genet 12:413–422
-
(1986)
Theor Appl Genet
, vol.12
, pp. 413-422
-
-
Gregorius, H.-R.1
Namkoong, G.2
-
27
-
-
37249083895
-
The impact of genetic relationship information on genome-assisted breeding values
-
COI: 1:CAS:528:DC%2BD1cXhtlCjsb4%3D, PID: 18073436
-
Habier D, Fernando RL, Dekkers JCM (2007) The impact of genetic relationship information on genome-assisted breeding values. Genetics 177:2389–2397. doi:10.1534/genetics.107.081190
-
(2007)
Genetics
, vol.177
, pp. 2389-2397
-
-
Habier, D.1
Fernando, R.L.2
Dekkers, J.C.M.3
-
28
-
-
82955176938
-
Genomic selection in plant breeding: a comparison of models
-
Heslot N, Yang H-P, Sorrells ME, Jannink J-L (2012) Genomic selection in plant breeding: a comparison of models. Crop Sci 52:146. doi:10.2135/cropsci2011.06.0297
-
(2012)
Crop Sci
, vol.52
, pp. 146
-
-
Heslot, N.1
Yang, H.-P.2
Sorrells, M.E.3
Jannink, J.-L.4
-
29
-
-
77049218610
-
The correlation between relatives in a random mating population
-
COI: 1:STN:280:DyaG2M%2Fjs1elsw%3D%3D, PID: 13224653
-
Kempthorne O (1954) The correlation between relatives in a random mating population. Proc R Soc Lond B Biol Sci 143:102–113
-
(1954)
Proc R Soc Lond B Biol Sci
, vol.143
, pp. 102-113
-
-
Kempthorne, O.1
-
30
-
-
4544317910
-
Mixed models including environmental covariables for studying QTL by environment interaction
-
COI: 1:CAS:528:DC%2BD2cXntlekur0%3D
-
Malosetti M, Voltas J, Romagosa I et al (2004) Mixed models including environmental covariables for studying QTL by environment interaction. Euphytica 137:139–145. doi:10.1023/B:EUPH.0000040511.46388.ef
-
(2004)
Euphytica
, vol.137
, pp. 139-145
-
-
Malosetti, M.1
Voltas, J.2
Romagosa, I.3
-
31
-
-
42149128810
-
A multi-trait multi-environment QTL mixed model with an application to drought and nitrogen stress trials in maize (Zea mays L.)
-
Malosetti M, Ribaut JM, Vargas M et al (2008) A multi-trait multi-environment QTL mixed model with an application to drought and nitrogen stress trials in maize (Zea mays L.). Euphytica 161:241–257. doi:10.1007/s10681-007-9594-0
-
(2008)
Euphytica
, vol.161
, pp. 241-257
-
-
Malosetti, M.1
Ribaut, J.M.2
Vargas, M.3
-
32
-
-
0014582761
-
The partitioning of interaction in analysis of variance
-
Mandel J (1969) The partitioning of interaction in analysis of variance. J Res Natl Bureau Stand B Math Sci 73B:309–328
-
(1969)
J Res Natl Bureau Stand B Math Sci
, vol.73B
, pp. 309-328
-
-
Mandel, J.1
-
33
-
-
0035045051
-
Prediction of total genetic value using genome-wide dense marker maps
-
COI: 1:CAS:528:DC%2BD3MXjsFemtbY%3D, PID: 11290733
-
Meuwissen THE, Hayes BJ, Goddard ME (2001) Prediction of total genetic value using genome-wide dense marker maps. Genetics 157:1819–1829
-
(2001)
Genetics
, vol.157
, pp. 1819-1829
-
-
Meuwissen, T.H.E.1
Hayes, B.J.2
Goddard, M.E.3
-
34
-
-
73949088815
-
Insertion site-based polymorphism markers open new perspectives for genome saturation and marker-assisted selection in wheat
-
COI: 1:CAS:528:DC%2BC3cXisFKksro%3D, PID: 20078842
-
Paux E, Faure S, Choulet F et al (2010) Insertion site-based polymorphism markers open new perspectives for genome saturation and marker-assisted selection in wheat. Plant Biotechnol J 8:196–210. doi:10.1111/j.1467-7652.2009.00477.x
-
(2010)
Plant Biotechnol J
, vol.8
, pp. 196-210
-
-
Paux, E.1
Faure, S.2
Choulet, F.3
-
35
-
-
79957514251
-
Genomic-enabled prediction based on molecular markers and pedigree using the Bayesian linear regression package in R
-
PID: 21566722
-
Pérez P, de los Campos G, Crossa J, Gianola D (2010) Genomic-enabled prediction based on molecular markers and pedigree using the Bayesian linear regression package in R. Plant Genome 3:106–116. doi:10.3835/plantgenome2010.04.0005
-
(2010)
Plant Genome
, vol.3
, pp. 106-116
-
-
Pérez, P.1
de los Campos, G.2
Crossa, J.3
Gianola, D.4
-
36
-
-
0031597342
-
Methods for comparing the yield stability of cropping systems
-
Piepho H-P (1998) Methods for comparing the yield stability of cropping systems. J Agron Crop Sci 180:193–213. doi:10.1111/j.1439-037X.1998.tb00526.x
-
(1998)
J Agron Crop Sci
, vol.180
, pp. 193-213
-
-
Piepho, H.-P.1
-
37
-
-
84939181786
-
Exploring variety-environment data using random effects AMMI models with adjustments for spatial field trend: part 1: theory, pp 323–335
-
Smith A, Cullis B, Thompson R (2001) Exploring variety-environment data using random effects AMMI models with adjustments for spatial field trend: part 1: theory, pp 323–335. doi: 10.1079/9780851996011.0323
-
(2001)
doi: 10.1079/9780851996011.0323
-
-
Smith, A.1
Cullis, B.2
Thompson, R.3
-
38
-
-
30444432667
-
The analysis of crop cultivar breeding and evaluation trials: an overview of current mixed model approaches
-
Smith AB, Cullis BR, Thompson R (2005) The analysis of crop cultivar breeding and evaluation trials: an overview of current mixed model approaches. J Agric Sci 143:449–462. doi:10.1017/S0021859605005587
-
(2005)
J Agric Sci
, vol.143
, pp. 449-462
-
-
Smith, A.B.1
Cullis, B.R.2
Thompson, R.3
-
39
-
-
33745834366
-
Bayesian analysis of the linear reaction norm model with unknown covariates
-
Su G, Madsen P, Lund MS, Sorensen D, Korsgaard IR Jensen J (2006) Bayesian analysis of the linear reaction norm model with unknown covariates. J Anim Sci 84 (7)(July):1651–1657. doi:10.2527/jas.2005-517
-
(2006)
J Anim Sci 84 (7)(July)
, pp. 1651-1657
-
-
Su, G.1
Madsen, P.2
Lund, M.S.3
Sorensen, D.4
Korsgaard IR Jensen, J.5
-
40
-
-
84888782821
-
R: A language and environment for statistical computing
-
Vienna, Austria
-
R Core Team (2013) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/
-
(2013)
R Foundation for Statistical Computing
-
-
Core Team, R.1
-
41
-
-
0001787692
-
Incorporating additional information on genotypes and environments in models for two-way genotype by environment tables
-
CRC Press, Boca Raton
-
van Eeuwijk F, Kang M, Denis J (1996) Incorporating additional information on genotypes and environments in models for two-way genotype by environment tables. In: Gauch HG, Kang M (eds) Genotype-by-environment interaction. CRC Press, Boca Raton, pp 15–49
-
(1996)
Genotype-by-environment interaction
, pp. 15-49
-
-
van Eeuwijk, F.1
Kang, M.2
Denis, J.3
Gauch, H.G.4
Kang, M.5
-
42
-
-
55849133422
-
Efficient methods to compute genomic predictions
-
COI: 1:CAS:528:DC%2BD1cXhtlajtLzO, PID: 18946147
-
VanRaden PM (2008) Efficient methods to compute genomic predictions. J Dairy Sci 91:4414–4423. doi:10.3168/jds.2007-0980
-
(2008)
J Dairy Sci
, vol.91
, pp. 4414-4423
-
-
VanRaden, P.M.1
-
43
-
-
0032811862
-
Using partial least squares regression, factorial regression, and AMMI models for interpreting genotype × environment interaction
-
Vargas M, Crossa J, Eeuwijk V et al (1999) Using partial least squares regression, factorial regression, and AMMI models for interpreting genotype × environment interaction. Crop Sci 39:955–967. doi:10.2135/cropsci1999.0011183X003900040002x
-
(1999)
Crop Sci
, vol.39
, pp. 955-967
-
-
Vargas, M.1
Crossa, J.2
Eeuwijk, V.3
-
44
-
-
0034926408
-
Interpreting treatment × environment interaction in agronomy trials
-
Vargas M, Crossa J, van Eeuwijk F et al (2001) Interpreting treatment × environment interaction in agronomy trials. Agron J 93:949. doi:10.2134/agronj2001.934949x
-
(2001)
Agron J
, vol.93
, pp. 949
-
-
Vargas, M.1
Crossa, J.2
van Eeuwijk, F.3
-
45
-
-
33645392019
-
Mapping QTLs and QTL × environment interaction for CIMMYT maize drought stress program using factorial regression and partial least squares methods
-
COI: 1:CAS:528:DC%2BD28XjtVSmtbk%3D, PID: 16538513
-
Vargas M, van Eeuwijk FA, Crossa J, Ribaut J-M (2006) Mapping QTLs and QTL × environment interaction for CIMMYT maize drought stress program using factorial regression and partial least squares methods. Theor Appl Genet 112:1009–1023. doi:10.1007/s00122-005-0204-z
-
(2006)
Theor Appl Genet
, vol.112
, pp. 1009-1023
-
-
Vargas, M.1
van Eeuwijk, F.A.2
Crossa, J.3
Ribaut, J.-M.4
-
46
-
-
0001256222
-
Weitere experimentelle Untersuchungen über Artveränderung, speziell über das Wesen quantitativer Artunterschiede bei Daphniden
-
Woltereck R (1909) Weitere experimentelle Untersuchungen über Artveränderung, speziell über das Wesen quantitativer Artunterschiede bei Daphniden. Verh Dtsch Zool Ges 19:110
-
(1909)
Verh Dtsch Zool Ges
, vol.19
, pp. 110
-
-
Woltereck, R.1
-
47
-
-
84906228734
-
The analysis of groups of experiments
-
Yates F, Cochran WG (1938) The analysis of groups of experiments. J Agric Sci 28:556–580. doi:10.1017/S0021859600050978
-
(1938)
J Agric Sci
, vol.28
, pp. 556-580
-
-
Yates, F.1
Cochran, W.G.2
|