Jean-Luc Jannink
Jean-Luc Jannink
Plant Breeding and Genetics, USDA-ARS
Verified email at
Cited by
Cited by
Development of high-density genetic maps for barley and wheat using a novel two-enzyme genotyping-by-sequencing approach
JA Poland, PJ Brown, ME Sorrells, JL Jannink
PloS one 7 (2), e32253, 2012
Genomic selection for crop improvement
EL Heffner, ME Sorrells, JL Jannink
Crop Science 49 (1), 1-12, 2009
Genomic selection in plant breeding: from theory to practice
JL Jannink, AJ Lorenz, H Iwata
Briefings in functional genomics 9 (2), 166-177, 2010
Genomic selection in wheat breeding using genotyping‐by‐sequencing
J Poland, J Endelman, J Dawson, J Rutkoski, S Wu, Y Manes, ...
The Plant Genome 5 (3), 2012
Genomic selection in plant breeding: a comparison of models
N Heslot, HP Yang, ME Sorrells, JL Jannink
Crop science 52 (1), 146-160, 2012
Plant breeding with genomic selection: gain per unit time and cost
EL Heffner, AJ Lorenz, JL Jannink, ME Sorrells
Crop science 50 (5), 1681-1690, 2010
Genomic selection in plant breeding: knowledge and prospects
AJ Lorenz, S Chao, FG Asoro, EL Heffner, T Hayashi, H Iwata, KP Smith, ...
Advances in agronomy 110, 77-123, 2011
Genomic Selection and Association Mapping in Rice (Oryza sativa): Effect of Trait Genetic Architecture, Training Population Composition, Marker Number and …
J Spindel, H Begum, D Akdemir, P Virk, B Collard, E Redona, G Atlin, ...
PLoS genetics 11 (2), e1004982, 2015
Factors affecting accuracy from genomic selection in populations derived from multiple inbred lines: a barley case study
S Zhong, JCM Dekkers, RL Fernando, JL Jannink
Genetics 182 (1), 355-364, 2009
Genomic selection accuracy using multifamily prediction models in a wheat breeding program
EL Heffner, JL Jannink, ME Sorrells
The Plant Genome 4 (1), 2011
Multiple-trait genomic selection methods increase genetic value prediction accuracy
Y Jia, JL Jannink
Genetics 192 (4), 1513-1522, 2012
Shrinkage estimation of the realized relationship matrix
JB Endelman, JL Jannink
G3: Genes| genomes| genetics 2 (11), 1405-1413, 2012
Integrating environmental covariates and crop modeling into the genomic selection framework to predict genotype by environment interactions
N Heslot, D Akdemir, ME Sorrells, JL Jannink
Theoretical and applied genetics 127, 463-480, 2014
Training set optimization under population structure in genomic selection
J Isidro, JL Jannink, D Akdemir, J Poland, N Heslot, ME Sorrells
Theoretical and applied genetics 128, 145-158, 2015
Genome-wide prediction models that incorporate de novo GWAS are a powerful new tool for tropical rice improvement
JE Spindel, H Begum, D Akdemir, B Collard, E Redoña, JL Jannink, ...
Heredity 116 (4), 395-408, 2016
Genomic selection accuracy for grain quality traits in biparental wheat populations
EL Heffner, JL Jannink, H Iwata, E Souza, ME Sorrells
Crop Science 51 (6), 2597-2606, 2011
Increased prediction accuracy in wheat breeding trials using a marker× environment interaction genomic selection model
M Lopez-Cruz, J Crossa, D Bonnett, S Dreisigacker, J Poland, JL Jannink, ...
G3: Genes, Genomes, Genetics 5 (4), 569-582, 2015
Genomic prediction in maize breeding populations with genotyping-by-sequencing
J Crossa, Y Beyene, S Kassa, P Pérez, JM Hickey, C Chen, ...
G3: Genes, genomes, genetics 3 (11), 1903-1926, 2013
Evaluation of genomic prediction methods for Fusarium head blight resistance in wheat
J Rutkoski, J Benson, Y Jia, G Brown‐Guedira, JL Jannink, M Sorrells
The Plant Genome 5 (2), 2012
Effectiveness of genomic prediction of maize hybrid performance in different breeding populations and environments
VS Windhausen, GN Atlin, JM Hickey, J Crossa, JL Jannink, ME Sorrells, ...
G3: Genes| genomes| genetics 2 (11), 1427-1436, 2012
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