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ArticlesPeer ReviewedFull Text
Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trials
Author / Creator:Costa-Neto, Germano ; Fritsche-Neto, Roberto ; Crossa, José
Publisher:England: Springer Nature B.V
Journal title:Heredity, 2021-01, Vol.126 (1), p.92-106
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A data-driven simulation platform to predict cultivars’ performances under uncertain weather conditions
Author / Creator:de los Campos, Gustavo ; Pérez-Rodríguez, Paulino ; Bogard, Matthieu ; Gouache, David ; Crossa, José
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2020-09, Vol.11 (1), p.4876-10, Article 4876
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Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers
Author / Creator:Crossa, José ; Campos, Gustavo de Los ; Pérez, Paulino ; Gianola, Daniel ; Burgueño, Juan ; Araus, José Luis ; Makumbi, Dan ; Singh, Ravi P ; Dreisigacker, Susanne ; Yan, Jianbing ; Arief, Vivi ; Banziger, Marianne ; Braun, Hans-Joachim
Publisher:United States: Genetics Society of America
Journal title:Genetics (Austin), 2010-10, Vol.186 (2), p.713-724
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Predicting Quantitative Traits With Regression Models for Dense Molecular Markers and Pedigree
Author / Creator:de los Campos, Gustavo ; Naya, Hugo ; Gianola, Daniel ; Crossa, Jose ; Legarra, Andres ; Manfredi, Eduardo ; Weigel, Kent ; Cotes, Jose Miguel
Publisher:United States: Genetics Soc America
Journal title:Genetics (Austin), 2009-05, Vol.182 (1), p.375-385
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Phenotyping transgenic wheat for drought resistance
Author / Creator:Pierre, Carolina Saint ; Crossa, José L. ; Bonnett, David ; Yamaguchi-Shinozaki, Kazuko ; Reynolds, Matthew P.
Publisher:Oxford: Oxford University Press
Journal title:Journal of experimental botany, 2012-03, Vol.63 (5), p.1799-1808
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ArticlesPeer ReviewedFull Text
Association Analysis of Historical Bread Wheat Germplasm Using Additive Genetic Covariance of Relatives and Population Structure
Author / Creator:Crossa, J ; Burgueño, J ; Dreisigacker, S ; Vargas, M ; Herrera-Foessel, S.A ; Lillemo, M ; Singh, R.P ; Trethowan, R ; Warburton, M ; Franco, J
Publisher:United States: Genetics Soc America
Journal title:Genetics (Austin), 2007-11, Vol.177 (3), p.1889-1913
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Rapid delivery systems for future food security
Author / Creator:Varshney, Rajeev K. ; Bohra, Abhishek ; Roorkiwal, Manish ; Barmukh, Rutwik ; Cowling, Wallace ; Chitikineni, Annapurna ; Lam, Hon-Ming ; Hickey, Lee T. ; Croser, Janine ; Edwards, David ; Farooq, Muhammad ; Crossa, José ; Weckwerth, Wolfram ; Millar, A. Harvey ; Kumar, Arvind ; Bevan, Michael W. ; Siddique, Kadambot H. M.
Publisher:New York: Nature Publishing Group US
Journal title:Nature biotechnology, 2021-10, Vol.39 (10), p.1179-1181
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Genome-based prediction of agronomic traits in spring wheat under conventional and organic management systems
Author / Creator:Semagn, Kassa ; Iqbal, Muhammad ; Crossa, José ; Jarquin, Diego ; Howard, Reka ; Chen, Hua ; Bemister, Darcy H. ; Beres, Brian L. ; Randhawa, Harpinder ; N’Diaye, Amidou ; Pozniak, Curtis ; Spaner, Dean
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:Theoretical and applied genetics, 2022-02, Vol.135 (2), p.537-552
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A guide for kernel generalized regression methods for genomic-enabled prediction
Author / Creator:Montesinos-López, Abelardo ; Montesinos-López, Osval Antonio ; Montesinos-López, José Cricelio ; Flores-Cortes, Carlos Alberto ; de la Rosa, Roberto ; Crossa, José
Publisher:England: Springer Nature B.V
Journal title:Heredity, 2021-04, Vol.126 (4), p.577-596
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Core Hunter: an algorithm for sampling genetic resources based on multiple genetic measures
Author / Creator:Thachuk, Chris ; Crossa, José ; Franco, Jorge ; Dreisigacker, Susanne ; Warburton, Marilyn ; Davenport, Guy F
Publisher:England: BioMed Central Ltd
Journal title:BMC bioinformatics, 2009-08, Vol.10 (1), p.243-243, Article 243
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ArticlesPeer ReviewedFull Text
Author Correction: A data-driven simulation platform to predict cultivars’ performances under uncertain weather conditions
Author / Creator:de los Campos, Gustavo ; Pérez-Rodríguez, Paulino ; Bogard, Matthieu ; Gouache, David ; Crossa, José
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2021-03, Vol.12 (1), p.1966-1966, Article 1966
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ArticlesPeer ReviewedFull Text
Bayesian Genomic Prediction with Genotype × Environment Interaction Kernel Models
Author / Creator:Cuevas, Jaime ; Crossa, José ; Montesinos-López, Osval A ; Burgueño, Juan ; Pérez-Rodríguez, Paulino ; de los Campos, Gustavo
Publisher:United States: Oxford University Press
Journal title:G3 : genes - genomes - genetics, 2017, Vol.7 (1), p.41-53
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ArticlesPeer ReviewedFull Text
Genomic Prediction of Genotype × Environment Interaction Kernel Regression Models
Author / Creator:Cuevas, Jaime ; Crossa, José ; Soberanis, Víctor ; Pérez‐Elizalde, Sergio ; Pérez‐Rodríguez, Paulino ; Campos, Gustavo de los ; Montesinos‐López, O. A. ; Burgueño, Juan
Publisher:United States: Crop Science Society of America
Journal title:The plant genome, 2016-11, Vol.9 (3), p.1-20
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Effect of F1 and F2 generations on genetic variability and working steps of doubled haploid production in maize
Author / Creator:Couto, Evellyn Giselly de Oliveira ; Cury, Mayara Neves ; Bandeira E Souza, Massaine ; Granato, Ítalo Stefanine Correia ; Vidotti, Miriam Suzane ; Domingos Garbuglio, Deoclécio ; Crossa, José ; Burgueño, Juan ; Fritsche-Neto, Roberto
Publisher:United States: Public Library of Science
Journal title:PloS one, 2019-11, Vol.14 (11), p.e0224631-e0224631
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Optimizing wheat crop performance: Genomic and phenomic insights into yield and days to maturity prediction using multi‐temporal UAV imagery
Author / Creator:Shafiee, Sahameh ; Montesinos‐López, Osval A. ; Crossa, José ; Burud, Ingunn ; Dieseth, Jon Arne ; Alsheikh, Muath ; Lillemo, Morten
Publisher:Guilford: John Wiley & Sons, Inc
Journal title:Plant phenome journal, 2024-12, Vol.7 (1), p.n/a
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Single‐Step Genomic and Pedigree Genotype × Environment Interaction Models for Predicting Wheat Lines in International Environments
Author / Creator:Pérez‐Rodríguez, Paulino ; Crossa, José ; Rutkoski, Jessica ; Poland, Jesse ; Singh, Ravi ; Legarra, Andrés ; Autrique, Enrique ; Campos, Gustavo de los ; Burgueño, Juan ; Dreisigacker, Susanne
Publisher:United States: Crop Science Society of America
Journal title:The plant genome, 2017-07, Vol.10 (2), p.1-15
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Hierarchical Multiple-Factor Analysis for Classifying Genotypes Based on Phenotypic and Genetic Data [Erratum: 2010 Mar-Apr, v. 50, no. 2, p. 753]
Author / Creator:Franco, Jorge ; Crossa, José ; Deshpande, Santosh
Publisher:Madison: Crop Science Society of America
Journal title:Crop science, 2010-01, Vol.50 (1), p.105-117
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Genomic Bayesian Prediction Model for Count Data with Genotype × Environment Interaction
Author / Creator:Montesinos-López, Abelardo ; Montesinos-López, Osval A ; Crossa, José ; Burgueño, Juan ; Eskridge, Kent M ; Falconi-Castillo, Esteban ; He, Xinyao ; Singh, Pawan ; Cichy, Karen
Publisher:United States: Oxford University Press
Journal title:G3 : genes - genomes - genetics, 2016-05, Vol.6 (5), p.1165-1177
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Canopy Temperature and Vegetation Indices from High-Throughput Phenotyping Improve Accuracy of Pedigree and Genomic Selection for Grain Yield in Wheat
Author / Creator:Rutkoski, Jessica ; Poland, Jesse ; Mondal, Suchismita ; Autrique, Enrique ; Pérez, Lorena González ; Crossa, José ; Reynolds, Matthew ; Singh, Ravi
Publisher:United States: Oxford University Press
Journal title:G3 : genes - genomes - genetics, 2016-09, Vol.6 (9), p.2799-2808
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ArticlesPeer ReviewedFull Text
Genomic Prediction of Breeding Values when Modeling Genotype × Environment Interaction using Pedigree and Dense Molecular Markers
Author / Creator:Burgueño, Juan ; Campos, Gustavo de los ; Weigel, Kent ; Crossa, José
Publisher:Madison, WI: Crop Science Society of America
Journal title:Crop science, 2012-03, Vol.52 (2), p.707-719
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Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trials

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A data-driven simulation platform to predict cultivars’ performances under uncertain weather conditions

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Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers

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Predicting Quantitative Traits With Regression Models for Dense Molecular Markers and Pedigree

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Phenotyping transgenic wheat for drought resistance

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Association Analysis of Historical Bread Wheat Germplasm Using Additive Genetic Covariance of Relatives and Population Structure

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Rapid delivery systems for future food security

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Genome-based prediction of agronomic traits in spring wheat under conventional and organic management systems

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A guide for kernel generalized regression methods for genomic-enabled prediction

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Core Hunter: an algorithm for sampling genetic resources based on multiple genetic measures

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Author Correction: A data-driven simulation platform to predict cultivars’ performances under uncertain weather conditions

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Bayesian Genomic Prediction with Genotype × Environment Interaction Kernel Models

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Genomic Prediction of Genotype × Environment Interaction Kernel Regression Models

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Effect of F1 and F2 generations on genetic variability and working steps of doubled haploid production in maize

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Optimizing wheat crop performance: Genomic and phenomic insights into yield and days to maturity prediction using multi‐temporal UAV imagery

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Single‐Step Genomic and Pedigree Genotype × Environment Interaction Models for Predicting Wheat Lines in International Environments

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Hierarchical Multiple-Factor Analysis for Classifying Genotypes Based on Phenotypic and Genetic Data [Erratum: 2010 Mar-Apr, v. 50, no. 2, p. 753]

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Genomic Bayesian Prediction Model for Count Data with Genotype × Environment Interaction

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Canopy Temperature and Vegetation Indices from High-Throughput Phenotyping Improve Accuracy of Pedigree and Genomic Selection for Grain Yield in Wheat

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Genomic Prediction of Breeding Values when Modeling Genotype × Environment Interaction using Pedigree and Dense Molecular Markers

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