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Genotyping by sequencing for genomic prediction in a soybean breeding population
Author / Creator:Jarquín, Diego ; Kocak, Kyle ; Posadas, Luis ; Hyma, Katie ; Jedlicka, Joseph ; Graef, George ; Lorenz, Aaron
Publisher:England: BioMed Central Ltd
Journal title:BMC genomics, 2014-08, Vol.15 (1), p.740-740, Article 740
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reaction norm model for genomic selection using high-dimensional genomic and environmental data
Author / Creator:Jarquín, Diego ; Crossa, José ; Lacaze, Xavier ; Du Cheyron, Philippe ; Daucourt, Joëlle ; Lorgeou, Josiane ; Piraux, François ; Guerreiro, Laurent ; Pérez, Paulino ; Calus, Mario ; Burgueño, Juan ; de los Campos, Gustavo
Publisher:Berlin/Heidelberg: Springer-Verlag
Journal title:Theoretical and applied genetics, 2014-03, Vol.127 (3), p.595-607
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Genomic Prediction Using Canopy Coverage Image and Genotypic Information in Soybean via a Hybrid Model
Author / Creator:Howard, Reka ; Jarquin, Diego
Publisher:London, England: SAGE Publications
Journal title:Evolutionary bioinformatics online, 2019, Vol.15, p.1176934319840026-1176934319840026
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Prospects of Genomic Prediction in the USDA Soybean Germplasm Collection: Historical Data Creates Robust Models for Enhancing Selection of Accessions
Author / Creator:Jarquin, Diego ; Specht, James ; Lorenz, Aaron
Publisher:England: Oxford University Press
Journal title:G3 : genes - genomes - genetics, 2016-08, Vol.6 (8), p.2329-2341
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Genomic Prediction of Gene Bank Wheat Landraces
Author / Creator:Crossa, José ; Jarquín, Diego ; Franco, Jorge ; Pérez-Rodríguez, Paulino ; Burgueño, Juan ; Saint-Pierre, Carolina ; Vikram, Prashant ; Sansaloni, Carolina ; Petroli, Cesar ; Akdemir, Deniz ; Sneller, Clay ; Reynolds, Matthew ; Tattaris, Maria ; Payne, Thomas ; Guzman, Carlos ; Peña, Roberto J ; Wenzl, Peter ; Singh, Sukhwinder
Publisher:United States: Oxford University Press
Journal title:G3 : genes - genomes - genetics, 2016-07, Vol.6 (7), p.1819-1834
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Response Surface Analysis of Genomic Prediction Accuracy Values Using Quality Control Covariates in Soybean
Author / Creator:Jarquín, Diego ; Howard, Reka ; Graef, George ; Lorenz, Aaron
Publisher:London, England: SAGE Publications
Journal title:Evolutionary Bioinformatics, 2019, Vol.15, p.1176934319831307-1176934319831307
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Genomic Prediction Enhanced Sparse Testing for Multi-environment Trials
Author / Creator:Jarquin, Diego ; Howard, Reka ; Crossa, Jose ; Beyene, Yoseph ; Gowda, Manje ; Martini, Johannes W R ; Covarrubias Pazaran, Giovanny ; Burgueño, Juan ; Pacheco, Angela ; Grondona, Martin ; Wimmer, Valentin ; Prasanna, Boddupalli M
Publisher:United States: Oxford University Press
Journal title:G3 : genes - genomes - genetics, 2020-08, Vol.10 (8), p.2725-2739
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Introducing CHiDO-A No Code Genomic Prediction software implementation for the characterization and integration of driven omics
Author / Creator:González, Francisco ; García-Abadillo, Julián ; Jarquín, Diego
Publisher:United States: John Wiley and Sons Inc
Journal title:The plant genome, 2025-03, Vol.18 (1), p.e20519
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The effect of artificial selection on phenotypic plasticity in maize
Author / Creator:Gage, Joseph L. ; Jarquin, Diego ; Romay, Cinta ; Lorenz, Aaron ; Buckler, Edward S. ; Kaeppler, Shawn ; Alkhalifah, Naser ; Bohn, Martin ; Campbell, Darwin A. ; Edwards, Jode ; Ertl, David ; Flint-Garcia, Sherry ; Gardiner, Jack ; Good, Byron ; Hirsch, Candice N. ; Holland, Jim ; Hooker, David C. ; Knoll, Joseph ; Kolkman, Judith ; Kruger, Greg ; Lauter, Nick ; Lawrence-Dill, Carolyn J. ; Lee, Elizabeth ; Lynch, Jonathan ; Murray, Seth C. ; Nelson, Rebecca ; Petzoldt, Jane ; Rocheford, Torbert ; Schnable, James ; Schnable, Patrick S. ; Scully, Brian ; Smith, Margaret ; Springer, Nathan M. ; Srinivasan, Srikant ; Walton, Renee ; Weldekidan, Teclemariam ; Wisser, Randall J. ; Xu, Wenwei ; Yu, Jianming ; de Leon, Natalia
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2017-11, Vol.8 (1), p.1348-11, Article 1348
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Comparing artificial‐intelligence techniques with state‐of‐the‐art parametric prediction models for predicting soybean traits
Author / Creator:Ray, Susweta ; Jarquin, Diego ; Howard, Reka
Publisher:United States: John Wiley & Sons, Inc
Journal title:The plant genome, 2023-03, Vol.16 (1), p.e20263-n/a
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Genomic Selection in Preliminary Yield Trials in a Winter Wheat Breeding Program
Author / Creator:Belamkar, Vikas ; Guttieri, Mary J ; Hussain, Waseem ; Jarquín, Diego ; El-basyoni, Ibrahim ; Poland, Jesse ; Lorenz, Aaron J ; Baenziger, P Stephen
Publisher:United States: Oxford University Press
Journal title:G3 : genes - genomes - genetics, 2018-08, Vol.8 (8), p.2735-2747
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Genomic‐enabled Prediction Accuracies Increased by Modeling Genotype × Environment Interaction in Durum Wheat
Author / Creator:Sukumaran, Sivakumar ; Jarquin, Diego ; Crossa, Jose ; Reynolds, Matthew
Publisher:United States: Crop Science Society of America
Journal title:The plant genome, 2018-07, Vol.11 (2), p.1-11
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Genome‐enabled prediction for sparse testing in multi‐environmental wheat trials
Author / Creator:Crespo‐Herrera, Leonardo ; Howard, Reka ; Piepho, Hans‐Peter ; Pérez‐Rodríguez, Paulino ; Montesinos‐Lopez, Osval ; Burgueño, Juan ; Singh, Ravi ; Mondal, Suchismita ; Jarquín, Diego ; Crossa, Jose
Publisher:United States: John Wiley & Sons, Inc
Journal title:The plant genome, 2021-11, Vol.14 (3), p.e20151-n/a
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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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Genome‐wide scanning to identify and validate single nucleotide polymorphism markers associated with drought tolerance in spring wheat seedlings
Author / Creator:Sallam, Ahmed ; Dawood, Mona F. A. ; Jarquín, Diego ; Mohamed, Elsayed A. ; Hussein, Mohamed Y. ; Börner, Andreas ; Ahmed, Asmaa A. M.
Publisher:United States: Wiley
Journal title:The plant genome, 2024-06, Vol.17 (2), p.e20444-n/a
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Differentiate Soybean Response to Off-Target Dicamba Damage Based on UAV Imagery and Machine Learning
Author / Creator:Vieira, Caio Canella ; Sarkar, Shagor ; Tian, Fengkai ; Zhou, Jing ; Jarquin, Diego ; Nguyen, Henry T. ; Zhou, Jianfeng ; Chen, Pengyin
Publisher:Basel: MDPI AG
Journal title:Remote sensing (Basel, Switzerland), 2022-04, Vol.14 (7), p.1618
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Near‐infrared reflectance spectroscopy phenomic prediction can perform similarly to genomic prediction of maize agronomic traits across environments
Author / Creator:DeSalvio, Aaron J. ; Adak, Alper ; Murray, Seth C. ; Jarquín, Diego ; Winans, Noah D. ; Crozier, Daniel ; Rooney, William L.
Publisher:United States: Wiley
Journal title:The plant genome, 2024-06, Vol.17 (2), p.e20454-n/a
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Genomic Prediction with Pedigree and Genotype × Environment Interaction in Spring Wheat Grown in South and West Asia, North Africa, and Mexico
Author / Creator:Sukumaran, Sivakumar ; Crossa, Jose ; Jarquin, Diego ; Lopes, Marta ; Reynolds, Matthew P
Publisher:England: Oxford University Press
Journal title:G3 : genes - genomes - genetics, 2017-02, Vol.7 (2), p.481-495
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Coupling day length data and genomic prediction tools for predicting time-related traits under complex scenarios
Author / Creator:Jarquin, Diego ; Kajiya-Kanegae, Hiromi ; Taishen, Chen ; Yabe, Shiori ; Persa, Reyna ; Yu, Jianming ; Nakagawa, Hiroshi ; Yamasaki, Masanori ; Iwata, Hiroyoshi
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2020-08, Vol.10 (1), p.13382, Article 13382
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Development of a Genomic Prediction Pipeline for Maintaining Comparable Sample Sizes in Training and Testing Sets across Prediction Schemes Accounting for the Genotype-by-Environment Interaction
Author / Creator:Persa, Reyna ; Grondona, Martin ; Jarquin, Diego
Publisher:Basel: MDPI AG
Journal title:Agriculture (Basel), 2021-10, Vol.11 (10), p.932
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Genotyping by sequencing for genomic prediction in a soybean breeding population

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reaction norm model for genomic selection using high-dimensional genomic and environmental data

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Genomic Prediction Using Canopy Coverage Image and Genotypic Information in Soybean via a Hybrid Model

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Prospects of Genomic Prediction in the USDA Soybean Germplasm Collection: Historical Data Creates Robust Models for Enhancing Selection of Accessions

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Genomic Prediction of Gene Bank Wheat Landraces

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Response Surface Analysis of Genomic Prediction Accuracy Values Using Quality Control Covariates in Soybean

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Genomic Prediction Enhanced Sparse Testing for Multi-environment Trials

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Introducing CHiDO-A No Code Genomic Prediction software implementation for the characterization and integration of driven omics

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The effect of artificial selection on phenotypic plasticity in maize

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Comparing artificial‐intelligence techniques with state‐of‐the‐art parametric prediction models for predicting soybean traits

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Genomic Selection in Preliminary Yield Trials in a Winter Wheat Breeding Program

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Genomic‐enabled Prediction Accuracies Increased by Modeling Genotype × Environment Interaction in Durum Wheat

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Genome‐enabled prediction for sparse testing in multi‐environmental wheat trials

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

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Genome‐wide scanning to identify and validate single nucleotide polymorphism markers associated with drought tolerance in spring wheat seedlings

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Differentiate Soybean Response to Off-Target Dicamba Damage Based on UAV Imagery and Machine Learning

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Near‐infrared reflectance spectroscopy phenomic prediction can perform similarly to genomic prediction of maize agronomic traits across environments

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Genomic Prediction with Pedigree and Genotype × Environment Interaction in Spring Wheat Grown in South and West Asia, North Africa, and Mexico

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Coupling day length data and genomic prediction tools for predicting time-related traits under complex scenarios

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Development of a Genomic Prediction Pipeline for Maintaining Comparable Sample Sizes in Training and Testing Sets across Prediction Schemes Accounting for the Genotype-by-Environment Interaction

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