-
1
-
-
84863564102
-
Long-term response to genomic selection: effects of estimation method and reference population structure for different genetic architectures
-
Bastiaansen, J. W., A. Coster, M. P. Calus, J. A. van Arendonk, and H. Bovenhuis, 2012 Long-term response to genomic selection: effects of estimation method and reference population structure for different genetic architectures. Genet. Sel. Evol. 44: 3.
-
(2012)
Genet. Sel. Evol.
, vol.44
, pp. 3
-
-
Bastiaansen, J.W.1
Coster, A.2
Calus, M.P.3
van Arendonk, J.A.4
Bovenhuis, H.5
-
2
-
-
84880602365
-
Soybean Yield Formation: What Controls It and How It Can Be Improved. Soybean Physiology and Biochemistry
-
edited by H. El-Shemy. Intech, Rijeka
-
Board, J. E., and C. S. Kahlon, 2011 Soybean Yield Formation: What Controls It and How It Can Be Improved. Soybean Physiology and Biochemistry, pp. 1-36 in Soybean Physiology and Biochemistry, edited by H. El-Shemy. Intech, Rijeka.
-
(2011)
Soybean Physiology and Biochemistry,
, pp. 1-36
-
-
Board, J.E.1
Kahlon, C.S.2
-
3
-
-
84864304733
-
Recent developments of genomic research in soybean
-
Chan, C., X. Qi, M. W. Li, F. L. Wong, and H. M. Lam, 2012 Recent developments of genomic research in soybean. J. Genet. Genomics 39(7): 317-324.
-
(2012)
J. Genet. Genomics
, vol.39
, Issue.7
, pp. 317-324
-
-
Chan, C.1
Qi, X.2
Li, M.W.3
Wong, F.L.4
Lam, H.M.5
-
4
-
-
84899044996
-
Population structure and domestication revealed by high-depth resequencing of Korean cultivated and wild soybean genomes
-
Chung, W. H., N. Jeong, J. Kim, W. K. Lee, Y. G. Lee et al., 2014 Population structure and domestication revealed by high-depth resequencing of Korean cultivated and wild soybean genomes. DNA Res. 21(2): 153-167.
-
(2014)
DNA Res.
, vol.21
, Issue.2
, pp. 153-167
-
-
Chung, W.H.1
Jeong, N.2
Kim, J.3
Lee, W.K.4
Lee, Y.G.5
-
5
-
-
84937605778
-
Using the Animal Model to Accelerate Response to Selection in a Self-Pollinating Crop
-
Cowling, W. A., K. T. Stefanova, C. P. Beeck, M. N. Nelson, B. L. Hargreaves et al. 2015 Using the Animal Model to Accelerate Response to Selection in a Self-Pollinating Crop. G3 (Bethesda) 5: 1419-1428.
-
(2015)
G3 (Bethesda)
, vol.5
, pp. 1419-1428
-
-
Cowling, W.A.1
Stefanova, K.T.2
Beeck, C.P.3
Nelson, M.N.4
Hargreaves, B.L.5
-
6
-
-
84876361750
-
Genomic prediction in animals and plants: simulation of data, validation, reporting, and benchmarking
-
Daetwyler, H. D., M. P. Calus, R. Pong-Wong, G. de los Campos, and J. M. Hickey, 2013 Genomic prediction in animals and plants: simulation of data, validation, reporting, and benchmarking. Genetics 193(2): 347-365.
-
(2013)
Genetics
, vol.193
, Issue.2
, pp. 347-365
-
-
Daetwyler, H.D.1
Calus, M.P.2
Pong-Wong, R.3
de los Campos, G.4
Hickey, J.M.5
-
7
-
-
84860542814
-
Application of genomics tools to animal breeding
-
Dekkers, J. C., 2012 Application of genomics tools to animal breeding. Curr. Genomics 13(3): 207.
-
(2012)
Curr. Genomics
, vol.13
, Issue.3
, pp. 207
-
-
Dekkers, J.C.1
-
8
-
-
67849130524
-
Predicting quantitative traits with regression models for dense molecular markers and pedigree
-
de los Campos, G., H. Naya, D. Gianola, J. Crossa, A. Legarra et al., 2009 Predicting quantitative traits with regression models for dense molecular markers and pedigree. Genetics 182(1): 375-385.
-
(2009)
Genetics
, vol.182
, Issue.1
, pp. 375-385
-
-
de los Campos, G.1
Naya, H.2
Gianola, D.3
Crossa, J.4
Legarra, A.5
-
9
-
-
78951477718
-
Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods
-
de los Campos, G., D. Gianola, G. J. Rosa, K. A. Weigel, and J. Crossa, 2010 Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods. Genet. Res. 92(04): 295-308.
-
(2010)
Genet. Res.
, vol.92
, Issue.4
, pp. 295-308
-
-
de los Campos, G.1
Gianola, D.2
Rosa, G.J.3
Weigel, K.A.4
Crossa, J.5
-
10
-
-
84876390765
-
Whole-genome regression and prediction methods applied to plant and animal breeding
-
de los Campos, G., J. M. Hickey, R. Pong-Wong, H. D. Daetwyler, and M. P. Calus, 2013 Whole-genome regression and prediction methods applied to plant and animal breeding. Genetics 193(2): 327-345.
-
(2013)
Genetics
, vol.193
, Issue.2
, pp. 327-345
-
-
de los Campos, G.1
Hickey, J.M.2
Pong-Wong, R.3
Daetwyler, H.D.4
Calus, M.P.5
-
12
-
-
84887611798
-
Optimal design of preliminary yield trials with genome-wide markers
-
Endelman, J. B., G. N. Atlin, Y. Beyene, K. Semagn, X. Zhang et al., 2014 Optimal design of preliminary yield trials with genome-wide markers. Crop Sci. 54(1): 48-59.
-
(2014)
Crop Sci.
, vol.54
, Issue.1
, pp. 48-59
-
-
Endelman, J.B.1
Atlin, G.N.2
Beyene, Y.3
Semagn, K.4
Zhang, X.5
-
13
-
-
84862511727
-
Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels
-
Erbe, M., B. J. Hayes, L. K. Matukumalli, S. Goswami, P. J. Bowman et al., 2012 Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels. J. Dairy Sci. 95(7): 4114-4129.
-
(2012)
J. Dairy Sci.
, vol.95
, Issue.7
, pp. 4114-4129
-
-
Erbe, M.1
Hayes, B.J.2
Matukumalli, L.K.3
Goswami, S.4
Bowman, P.J.5
-
14
-
-
0001738523
-
Stage of development descriptions for soybeans, Glycine max (L.) Merrill
-
Fehr, W. R., C. E. Caviness, D. T. Burmood, and J. S. Pennington, 1971 Stage of development descriptions for soybeans, Glycine max (L.) Merrill. Crop Sci. 11(6): 929-931.
-
(1971)
Crop Sci.
, vol.11
, Issue.6
, pp. 929-931
-
-
Fehr, W.R.1
Caviness, C.E.2
Burmood, D.T.3
Pennington, J.S.4
-
15
-
-
84879743015
-
Priors in whole-genome regression: the Bayesian alphabet returns
-
Gianola, D., 2013 Priors in whole-genome regression: the Bayesian alphabet returns. Genetics 194(3): 573-596.
-
(2013)
Genetics
, vol.194
, Issue.3
, pp. 573-596
-
-
Gianola, D.1
-
16
-
-
70350136780
-
Additive genetic variability and the Bayesian alphabet
-
Gianola, D., G. de los Campos, W. G. Hill, E. Manfredi, and R. Fernando, 2009 Additive genetic variability and the Bayesian alphabet. Genetics 183(1): 347-363.
-
(2009)
Genetics
, vol.183
, Issue.1
, pp. 347-363
-
-
Gianola, D.1
de los Campos, G.2
Hill, W.G.3
Manfredi, E.4
Fernando, R.5
-
17
-
-
84866328184
-
Genome-enabled prediction of genetic values using radial basis function neural networks
-
González-Camacho, J. M., G. de los Campos, P. Pérez, D. Gianola, J. E. Cairns et al., 2012 Genome-enabled prediction of genetic values using radial basis function neural networks. Theor. Appl. Genet. 125(4): 759-771.
-
(2012)
Theor. Appl. Genet.
, vol.125
, Issue.4
, pp. 759-771
-
-
González-Camacho, J.M.1
de los Campos, G.2
Pérez, P.3
Gianola, D.4
Cairns, J.E.5
-
18
-
-
84860346263
-
Evaluation of genome-wide selection efficiency in maize nested association mapping populations
-
Guo, Z., D. M. Tucker, J. Lu, V. Kishore, and G. Gay, 2012 Evaluation of genome-wide selection efficiency in maize nested association mapping populations. Theor. Appl. Genet. 124(2): 261-275.
-
(2012)
Theor. Appl. Genet.
, vol.124
, Issue.2
, pp. 261-275
-
-
Guo, Z.1
Tucker, D.M.2
Lu, J.3
Kishore, V.4
Gay, G.5
-
19
-
-
37249083895
-
The impact of genetic relationship information on genome-assisted breeding values
-
Habier, D., R. L. Fernando, and J. C. M. Dekkers, 2007 The impact of genetic relationship information on genome-assisted breeding values. Genetics 177(4): 2389-2397.
-
(2007)
Genetics
, vol.177
, Issue.4
, pp. 2389-2397
-
-
Habier, D.1
Fernando, R.L.2
Dekkers, J.C.M.3
-
20
-
-
79956199958
-
Extension of the Bayesian alphabet for genomic selection
-
Habier, D., R. L. Fernando, K. Kizilkaya, and D. J. Garrick, 2011 Extension of the Bayesian alphabet for genomic selection. BMC Bioinformatics 12(1): 186.
-
(2011)
BMC Bioinformatics
, vol.12
, Issue.1
, pp. 186
-
-
Habier, D.1
Fernando, R.L.2
Kizilkaya, K.3
Garrick, D.J.4
-
21
-
-
79952102682
-
Population genetics of genomics-based crop improvement methods
-
Hamblin, M. T., E. S. Buckler, and J. L. Jannink, 2011 Population genetics of genomics-based crop improvement methods. Trends Genet. 27(3): 98-106.
-
(2011)
Trends Genet.
, vol.27
, Issue.3
, pp. 98-106
-
-
Hamblin, M.T.1
Buckler, E.S.2
Jannink, J.L.3
-
22
-
-
85161148381
-
The elements of statistical learning: data mining, inference and prediction
-
Hastie, T., R. Tibshirani, J. Friedman, and J. Franklin, 2005 The elements of statistical learning: data mining, inference and prediction. Math. Intell. 27(2): 83-85.
-
(2005)
Math. Intell.
, vol.27
, Issue.2
, pp. 83-85
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
Franklin, J.4
-
23
-
-
59249106951
-
Genomic selection for crop improvement
-
Heffner, E. L., M. E. Sorrells, and J. L. Jannink, 2009 Genomic selection for crop improvement. Crop Sci. 49(1): 1-12.
-
(2009)
Crop Sci.
, vol.49
, Issue.1
, pp. 1-12
-
-
Heffner, E.L.1
Sorrells, M.E.2
Jannink, J.L.3
-
24
-
-
23244455294
-
Estimation of variances in animal model and reduced animal model for single traits and single records
-
Henderson, C. R., 1986 Estimation of variances in animal model and reduced animal model for single traits and single records. J. Dairy Sci. 69(5): 1394-1402.
-
(1986)
J. Dairy Sci.
, vol.69
, Issue.5
, pp. 1394-1402
-
-
Henderson, C.R.1
-
25
-
-
84905586640
-
Animal-breeding schemes using genomic information need breeding plans designed to maximise long-term genetic gains
-
Henryon, M., P. Berg, and A. C. Sørensen, 2014 Animal-breeding schemes using genomic information need breeding plans designed to maximise long-term genetic gains. Livest. Sci. 166: 38-47.
-
(2014)
Livest. Sci.
, vol.166
, pp. 38-47
-
-
Henryon, M.1
Berg, P.2
Sørensen, A.C.3
-
26
-
-
84883530606
-
Impact of marker ascertainment bias on genomic selection accuracy and estimates of genetic diversity
-
Heslot, N., J. Rutkoski, J. Poland, J. L. Jannink, and M. E. Sorrells, 2013 Impact of marker ascertainment bias on genomic selection accuracy and estimates of genetic diversity. PLoS One 8(9): e74612.
-
(2013)
PLoS One
, vol.8
, Issue.9
-
-
Heslot, N.1
Rutkoski, J.2
Poland, J.3
Jannink, J.L.4
Sorrells, M.E.5
-
27
-
-
84902603065
-
Parametric and nonparametric statistical methods for genomic selection of traits with additive and epistatic genetic architectures
-
Howard, R., A. L. Carriquiry, and W. D. Beavis 2014 Parametric and nonparametric statistical methods for genomic selection of traits with additive and epistatic genetic architectures. G3 (Bethesda) 4(6): 1027-1046.
-
(2014)
G3 (Bethesda)
, vol.4
, Issue.6
, pp. 1027-1046
-
-
Howard, R.1
Carriquiry, A.L.2
Beavis, W.D.3
-
28
-
-
33750964714
-
Impacts of genetic bottlenecks on soybean genome diversity
-
Hyten, D. L., Q. Song, Y. Zhu, I. Y. Choi, R. L. Nelson et al., 2006 Impacts of genetic bottlenecks on soybean genome diversity. Proc. Natl. Acad. Sci. USA 103(45): 16666-16671.
-
(2006)
Proc. Natl. Acad. Sci. USA
, vol.103
, Issue.45
, pp. 16666-16671
-
-
Hyten, D.L.1
Song, Q.2
Zhu, Y.3
Choi, I.Y.4
Nelson, R.L.5
-
29
-
-
34249111187
-
Highly variable patterns of linkage disequilibrium in multiple soybean populations
-
Hyten, D. L., I. Y. Choi, Q. Song, R. C. Shoemaker, R. L. Nelson et al., 2007 Highly variable patterns of linkage disequilibrium in multiple soybean populations. Genetics 175(4): 1937-1944.
-
(2007)
Genetics
, vol.175
, Issue.4
, pp. 1937-1944
-
-
Hyten, D.L.1
Choi, I.Y.2
Song, Q.3
Shoemaker, R.C.4
Nelson, R.L.5
-
30
-
-
77951987956
-
Genomic selection in plant breeding: from theory to practice
-
Jannink, J. L., A. J. Lorenz, and H. Iwata, 2010 Genomic selection in plant breeding: from theory to practice. Brief. Funct. Genomics 9(2): 166-177.
-
(2010)
Brief. Funct. Genomics
, vol.9
, Issue.2
, pp. 166-177
-
-
Jannink, J.L.1
Lorenz, A.J.2
Iwata, H.3
-
31
-
-
84907414054
-
Genotyping by sequencing for genomic prediction in a soybean breeding population
-
Jarquín, D., K. Kocak, L. Posadas, K. Hyma, and J. Jedlicka et al., 2014 Genotyping by sequencing for genomic prediction in a soybean breeding population. BMC Genomics 15(1): 740.
-
(2014)
BMC Genomics
, vol.15
, Issue.1
, pp. 740
-
-
Jarquín, D.1
Kocak, K.2
Posadas, L.3
Hyma, K.4
Jedlicka, J.5
-
32
-
-
45149105926
-
Efficient control of population structure in model organism association mapping
-
Kang, H. M., N. A. Zaitlen, C. M. Wade, A. Kirby, D. Heckerman et al., 2008 Efficient control of population structure in model organism association mapping. Genetics 178(3): 1709-1723.
-
(2008)
Genetics
, vol.178
, Issue.3
, pp. 1709-1723
-
-
Kang, H.M.1
Zaitlen, N.A.2
Wade, C.M.3
Kirby, A.4
Heckerman, D.5
-
33
-
-
84863862138
-
Back to basics for Bayesian model building in genomic selection
-
Kärkkäinen, H. P., and M. J. Sillanpää, 2012 Back to basics for Bayesian model building in genomic selection. Genetics 191(3): 969-987.
-
(2012)
Genetics
, vol.191
, Issue.3
, pp. 969-987
-
-
Kärkkäinen, H.P.1
Sillanpää, M.J.2
-
34
-
-
84879746501
-
Sensitivity to prior specification in Bayesian genome-based prediction models
-
Lehermeier, C., V. Wimmer, T. Albrecht, H. J. Auinger, D. Gianola et al., 2013 Sensitivity to prior specification in Bayesian genome-based prediction models. Stat. Appl. Genet. Mol. Biol. 12(3): 375-391.
-
(2013)
Stat. Appl. Genet. Mol. Biol.
, vol.12
, Issue.3
, pp. 375-391
-
-
Lehermeier, C.1
Wimmer, V.2
Albrecht, T.3
Auinger, H.J.4
Gianola, D.5
-
35
-
-
84898838577
-
Biparental resequencing coupled with SNP genotyping of a segregating population offers insights into the landscape of recombination and fixed genomic regions in elite soybean
-
Li, Y. H., Y. L. Liu, J. C. Reif, Z. X. Liu, B. Liu et al. 2014 Biparental resequencing coupled with SNP genotyping of a segregating population offers insights into the landscape of recombination and fixed genomic regions in elite soybean. G3 (Bethesda) 4(4): 553-560.
-
(2014)
G3 (Bethesda)
, vol.4
, Issue.4
, pp. 553-560
-
-
Li, Y.H.1
Liu, Y.L.2
Reif, J.C.3
Liu, Z.X.4
Liu, B.5
-
36
-
-
84883222798
-
Resource allocation for maximizing prediction accuracy and genetic gain of genomic selection in plant breeding: A simulation experiment
-
Lorenz, A. J. 2013 Resource allocation for maximizing prediction accuracy and genetic gain of genomic selection in plant breeding: A simulation experiment. G3 (Bethesda) 3(3):481-491.
-
(2013)
G3 (Bethesda)
, vol.3
, Issue.3
, pp. 481-491
-
-
Lorenz, A.J.1
-
37
-
-
0035045051
-
Prediction of total genetic value using genome-wide dense marker maps
-
Meuwissen, T. H. E., B. J. Hayes, and M. E. Goddard, 2001 Prediction of total genetic value using genome-wide dense marker maps. Genetics 157(4): 1819-1829.
-
(2001)
Genetics
, vol.157
, Issue.4
, pp. 1819-1829
-
-
Meuwissen, T.H.E.1
Hayes, B.J.2
Goddard, M.E.3
-
38
-
-
84939498650
-
PopVar: A genome-wide procedure for predicting genetic variance and correlated response in bi-parental breeding populations
-
Mohammadi, M., T. Tiede, and K. P. Smith, 2015 PopVar: A genome-wide procedure for predicting genetic variance and correlated response in bi-parental breeding populations. Crop Sci. 55(5): 2068-2077.
-
(2015)
Crop Sci.
, vol.55
, Issue.5
, pp. 2068-2077
-
-
Mohammadi, M.1
Tiede, T.2
Smith, K.P.3
-
39
-
-
84855970757
-
Crop genomics: advances and applications
-
Morrell, P. L., E. S. Buckler, and J. Ross-Ibarra, 2012 Crop genomics: advances and applications. Nat. Rev. Genet. 13(2): 85-96.
-
(2012)
Nat. Rev. Genet.
, vol.13
, Issue.2
, pp. 85-96
-
-
Morrell, P.L.1
Buckler, E.S.2
Ross-Ibarra, J.3
-
40
-
-
36849052938
-
Comparison of genomic and traditional BLUPestimated breeding value accuracy and selection response under alternative trait and genomic parameters
-
Muir, W. M., 2007 Comparison of genomic and traditional BLUPestimated breeding value accuracy and selection response under alternative trait and genomic parameters. J. Anim. Breed. Genet. 124(6): 342-355.
-
(2007)
J. Anim. Breed. Genet.
, vol.124
, Issue.6
, pp. 342-355
-
-
Muir, W.M.1
-
41
-
-
84868022556
-
Will genomic selection be a practical method for plant breeding?
-
Nakaya, A., and S. N. Isobe, 2012 Will genomic selection be a practical method for plant breeding? Ann. Bot. (Lond.) 110: 1303-1316.
-
(2012)
Ann. Bot. (Lond.)
, vol.110
, pp. 1303-1316
-
-
Nakaya, A.1
Isobe, S.N.2
-
42
-
-
84912141486
-
Regularized machine learning in the genetic prediction of complex traits
-
Okser, S., T. Pahikkala, A. Airola, T. Salakoski, S. Ripatti et al., 2014 Regularized machine learning in the genetic prediction of complex traits. PLoS Genet. 12(11): e1004754.
-
(2014)
PLoS Genet.
, vol.12
, Issue.11
-
-
Okser, S.1
Pahikkala, T.2
Airola, A.3
Salakoski, T.4
Ripatti, S.5
-
43
-
-
84907997062
-
Genome-wide regression & prediction with the BGLR statistical package
-
Pérez, P., and G. de los Campos 2014 Genome-wide regression & prediction with the BGLR statistical package. Genetics 198: 483-495.
-
(2014)
Genetics
, vol.198
, pp. 483-495
-
-
Pérez, P.1
de los Campos, G.2
-
44
-
-
84883167942
-
Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat
-
Pérez-Rodríguez, P., D. Gianola, J. M. González-Camacho, and J. Crossa, Y. Manès, et al. 2012 Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat. G3 (Bethesda) 2(12): 1595-1605.
-
(2012)
G3 (Bethesda)
, vol.2
, Issue.12
, pp. 1595-1605
-
-
Pérez-Rodríguez, P.1
Gianola, D.2
González-Camacho, J.M.3
Crossa, J.4
Manès, Y.5
-
45
-
-
84925016697
-
Breeding-assisted genomics
-
Poland, J., 2015 Breeding-assisted genomics. Curr. Opin. Plant Biol. 24: 119-124.
-
(2015)
Curr. Opin. Plant Biol.
, vol.24
, pp. 119-124
-
-
Poland, J.1
-
46
-
-
79955735153
-
Inferring causal phenotype networks using structural equation models
-
Rosa, G. J., B. D. Valente, G. de los Campos, and X. L. Wu, X. L., D. Gianola et al., 2011 Inferring causal phenotype networks using structural equation models. Genet. Sel. Evol. 43: 6.
-
(2011)
Genet. Sel. Evol.
, vol.43
, pp. 6
-
-
Rosa, G.J.1
Valente, B.D.2
de los Campos, G.3
Wu, X.L.4
Gianola, D.5
-
47
-
-
0003639537
-
-
Springer-Verlag, New York
-
Sorensen, D., and D. Gianola, 2002 Likelihood, Bayesian, and MCMC methods in quantitative Genetics. Springer-Verlag, New York.
-
(2002)
Likelihood, Bayesian, and MCMC methods in quantitative Genetics
-
-
Sorensen, D.1
Gianola, D.2
-
48
-
-
84855177476
-
MissForest-nonparametric missing value imputation for mixed-type data
-
Stekhoven, D. J., and P. Bühlmann, 2012 MissForest-nonparametric missing value imputation for mixed-type data. Bioinformatics 28(1): 112-118.
-
(2012)
Bioinformatics
, vol.28
, Issue.1
, pp. 112-118
-
-
Stekhoven, D.J.1
Bühlmann, P.2
-
50
-
-
84931317300
-
The causal meaning of genomic predictors and how it affects construction and comparison of genome-enabled selection models
-
Valente, B. D., G. Morota, F. Peñagaricano, D. Gianola, K. Weigel et al., 2015 The causal meaning of genomic predictors and how it affects construction and comparison of genome-enabled selection models. Genetics 200(2): 483-494.
-
(2015)
Genetics
, vol.200
, Issue.2
, pp. 483-494
-
-
Valente, B.D.1
Morota, G.2
Peñagaricano, F.3
Gianola, D.4
Weigel, K.5
-
51
-
-
55849133422
-
Efficient methods to compute genomic predictions
-
VanRaden, P. M., 2008 Efficient methods to compute genomic predictions. J. Dairy Sci. 91(11): 4414-4423.
-
(2008)
J. Dairy Sci.
, vol.91
, Issue.11
, pp. 4414-4423
-
-
VanRaden, P.M.1
-
52
-
-
79955738465
-
Genomic evaluations with many more genotypes
-
VanRaden, P. M., J. R. O'Connell, G. R. Wiggans, and K. A. Weigel, 2011 Genomic evaluations with many more genotypes. Genet. Sel. Evol. 43: 10.
-
(2011)
Genet. Sel. Evol.
, vol.43
, pp. 10
-
-
VanRaden, P.M.1
O'Connell, J.R.2
Wiggans, G.R.3
Weigel, K.A.4
-
53
-
-
84884945790
-
Genome-wide prediction of traits with different genetic architecture through efficient variable selection
-
Wimmer, V., C. Lehermeier, T. Albrecht, H. J. Auinger, Y. Wang et al., 2013 Genome-wide prediction of traits with different genetic architecture through efficient variable selection. Genetics 195(2): 573-587.
-
(2013)
Genetics
, vol.195
, Issue.2
, pp. 573-587
-
-
Wimmer, V.1
Lehermeier, C.2
Albrecht, T.3
Auinger, H.J.4
Wang, Y.5
-
54
-
-
84950240744
-
NAM: Association Studies in Multiple Populations
-
Xavier, A., S. Xu, W. M. Muir, and K. M. Rainey, 2015a NAM: Association Studies in Multiple Populations. Bioinformatics 31: 3862-3864.
-
(2015)
Bioinformatics
, vol.31
, pp. 3862-3864
-
-
Xavier, A.1
Xu, S.2
Muir, W.M.3
Rainey, K.M.4
-
55
-
-
84983692432
-
SoyNAM: Soybean Nested Association Mapping Datase
-
Xavier, A., W. Beavis, J. Specht, B. Diers, R. Howard et al., 2015b SoyNAM: Soybean Nested Association Mapping Dataset. CRAN, R package version 1.2. Available at: http://cran.mirrorcatalogs.com/web/packages/SoyNAM/ index.html. Accessed: June 13, 2016.
-
(2015)
CRAN, R package version 1.2. Available at: http://cran.mirrorcatalogs.com/web/packages/SoyNAM/ index.html. Accessed: June
, vol.13
, pp. 2016
-
-
Xavier, A.1
Beavis, W.2
Specht, J.3
Diers, B.4
Howard, R.5
-
56
-
-
84956833334
-
Impact of imputation methods on the amount of genetic variation captured by a single-nucleotide polymorphism panel in soybeans
-
Xavier, A., W. M. Muir, and K. M. Rainey, 2016 Impact of imputation methods on the amount of genetic variation captured by a single-nucleotide polymorphism panel in soybeans. BMC Bioinformatics 17(1): 1.
-
(2016)
BMC Bioinformatics
, vol.17
, Issue.1
, pp. 1
-
-
Xavier, A.1
Muir, W.M.2
Rainey, K.M.3
-
57
-
-
0347361672
-
Theoretical basis of the Beavis effect
-
Xu, S., 2003 Theoretical basis of the Beavis effect. Genetics 165(4): 2259-2268.
-
(2003)
Genetics
, vol.165
, Issue.4
, pp. 2259-2268
-
-
Xu, S.1
-
58
-
-
84888988128
-
Mapping quantitative trait loci by controlling polygenic background effects
-
Xu, S., 2013a Mapping quantitative trait loci by controlling polygenic background effects. Genetics 195(4): 1209-1222.
-
(2013)
Genetics
, vol.195
, Issue.4
, pp. 1209-1222
-
-
Xu, S.1
-
59
-
-
84887110908
-
Genetic mapping and genomic selection using recombination breakpoint data
-
Xu, S., 2013b Genetic mapping and genomic selection using recombination breakpoint data. Genetics 195(3): 1103-1115.
-
(2013)
Genetics
, vol.195
, Issue.3
, pp. 1103-1115
-
-
Xu, S.1
-
60
-
-
67849114172
-
Factors affecting accuracy from genomic selection in populations derived from multiple inbred lines: a barley case study
-
Zhong, S., J. C. Dekkers, R. L. Fernando, and J. L. Jannink, 2009 Factors affecting accuracy from genomic selection in populations derived from multiple inbred lines: a barley case study. Genetics 182(1): 355-364.
-
(2009)
Genetics
, vol.182
, Issue.1
, pp. 355-364
-
-
Zhong, S.1
Dekkers, J.C.2
Fernando, R.L.3
Jannink, J.L.4
|