Diego Jarquin
TitleCited byYear
A reaction norm model for genomic selection using high-dimensional genomic and environmental data
D Jarquín, J Crossa, X Lacaze, P Du Cheyron, J Daucourt, J Lorgeou, ...
Theoretical and applied genetics 127 (3), 595-607, 2014
1432014
Genomic selection in plant breeding: methods, models, and perspectives
J Crossa, P Pérez-Rodríguez, J Cuevas, O Montesinos-López, D Jarquín, ...
Trends in plant science 22 (11), 961-975, 2017
1042017
Genotyping by sequencing for genomic prediction in a soybean breeding population
D Jarquín, K Kocak, L Posadas, K Hyma, J Jedlicka, G Graef, A Lorenz
BMC genomics 15 (1), 740, 2014
892014
A population structure and genome-wide association analysis on the USDA soybean germplasm collection
N Bandillo, D Jarquin, Q Song, R Nelson, P Cregan, J Specht, A Lorenz
The Plant Genome 8 (3), 2015
422015
Genomic prediction of gene bank wheat landraces
J Crossa, D Jarquín, J Franco, P Pérez-Rodríguez, J Burgueño, ...
G3: Genes, Genomes, Genetics 6 (7), 1819-1834, 2016
362016
Genomic prediction models for grain yield of spring bread wheat in diverse agro-ecological zones
C Saint Pierre, J Burgueño, J Crossa, GF Dávila, PF López, ES Moya, ...
Scientific reports 6, 27312, 2016
242016
Prospects of genomic prediction in the USDA Soybean Germplasm Collection: Historical data creates robust models for enhancing selection of accessions
D Jarquin, J Specht, A Lorenz
G3: Genes, Genomes, Genetics 6 (8), 2329-2341, 2016
202016
A genomic selection index applied to simulated and real data
JJ Ceron-Rojas, J Crossa, VN Arief, K Basford, J Rutkoski, D Jarquín, ...
G3: Genes, Genomes, Genetics 5 (10), 2155-2164, 2015
202015
Increasing genomic-enabled prediction accuracy by modeling genotype× environment interactions in Kansas wheat
D Jarquín, C Lemes da Silva, RC Gaynor, J Poland, A Fritz, R Howard, ...
The plant genome, 2017
192017
Bayesian estimation of the additive main effects and multiplicative interaction model
J Crossa, S Perez-Elizalde, D Jarquin, JM Cotes, K Viele, G Liu, ...
Crop Science 51 (4), 1458-1469, 2011
182011
Genomic prediction with pedigree and genotype× environment interaction in spring wheat grown in South and West Asia, North Africa, and Mexico
S Sukumaran, J Crossa, D Jarquin, M Lopes, MP Reynolds
G3: Genes, Genomes, Genetics 7 (2), 481-495, 2017
172017
The effect of artificial selection on phenotypic plasticity in maize
JL Gage, D Jarquin, C Romay, A Lorenz, ES Buckler, S Kaeppler, ...
Nature communications 8 (1), 1348, 2017
152017
Genomic-enabled prediction in maize using kernel models with genotype× environment interaction
MB e Sousa, J Cuevas, EG de Oliveira Couto, P Pérez-Rodríguez, ...
G3: Genes, Genomes, Genetics 7 (6), 1995-2014, 2017
152017
A general Bayesian estimation method of linear–bilinear models applied to plant breeding trials with genotype× environment interaction
S Perez-Elizalde, D Jarquin, J Crossa
Journal of agricultural, biological, and environmental statistics 17 (1), 15-37, 2012
152012
Pedigree-based prediction models with genotype× environment interaction in multienvironment trials of CIMMYT wheat
S Sukumaran, J Crossa, D Jarquín, M Reynolds
Crop Science 57 (4), 1865-1880, 2017
82017
Genome-wide analysis of grain yield stability and environmental interactions in a multiparental soybean population
A Xavier, D Jarquin, R Howard, V Ramasubramanian, JE Specht, ...
G3: Genes, Genomes, Genetics 8 (2), 519-529, 2018
62018
A hierarchical bayesian estimation model for multienvironment plant breeding trials in successive years
D Jarquín, S Pérez-Elizalde, J Burgueño, J Crossa
Crop Science 56 (5), 2260-2276, 2016
62016
Genomic-enabled Prediction Accuracies Increased by Modeling Genotype× Environment Interaction in Durum Wheat
S Sukumaran, D Jarquin, J Crossa, M Reynolds
The plant genome, 2018
52018
A population structure and genome-wide association analysis on the USDA soybean germplasm collection. Plant Genome 8: 1–13
N Bandillo, D Jarquin, Q Song, R Nelson, P Cregan, J Specht, A Lorenz
52015
Genomic-enabled prediction models using multi-environment trials to estimate the effect of genotype× environment interaction on prediction accuracy in chickpea
M Roorkiwal, D Jarquin, MK Singh, PM Gaur, C Bharadwaj, A Rathore, ...
Scientific reports 8 (1), 11701, 2018
42018
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Articles 1–20