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G3 (Bethesda, Md.)
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July 28, 2018
BGGE: A New Package for Genomic-Enabled Prediction Incorporating Genotype × Environment Interaction Models
Italo Granato, Jaime Cuevas, Francisco Luna-Vázquez, et al.
Foods (Basel, Switzerland)
|
September 28, 2021
Drought and Heat Stress Impacts on Phenolic Acids Accumulation in Durum Wheat Cultivars
Barbara Laddomada, Antonio Blanco, Giovanni Mita, et al.
Frontiers in Genetics
|
November 16, 2020
Approximate Genome-Based Kernel Models for Large Data Sets Including Main Effects and Interactions
Jaime Cuevas, Osval A Montesinos-López, J W R Martini, et al.
Frontiers in Plant Science
|
July 15, 2021
Application of Genomic Selection at the Early Stage of Breeding Pipeline in Tropical Maize
Yoseph Beyene, Manje Gowda, Paulino Pérez-Rodríguez, et al.
The Plant Genome
|
July 21, 2017
Increasing Genomic-Enabled Prediction Accuracy by Modeling Genotype × Environment Interactions in Kansas Wheat
Diego Jarquín, Cristiano Lemes da Silva, R Chris Gaynor, et al.
Applied & Translational Genomics
|
December 27, 2016
Wheat quality improvement at CIMMYT and the use of genomic selection on it
Carlos Guzman, Roberto Javier Peña, Ravi Singh, et al.
Scientific Reports
|
May 20, 2020
Regularized selection indices for breeding value prediction using hyper-spectral image data
Marco Lopez-Cruz, Eric Olson, Gabriel Rovere, et al.
Frontiers in Plant Science
|
May 3, 2021
The Modern Plant Breeding Triangle: Optimizing the Use of Genomics, Phenomics, and Enviromics Data
Jose Crossa, Roberto Fritsche-Neto, Osval A Montesinos-Lopez, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
|
September 14, 2011
Genetic analysis of adult plant, quantitative resistance to stripe rust in wheat cultivar 'Stephens' in multi-environment trials
M Dolores Vazquez, C James Peterson, Oscar Riera-Lizarazu, et al.
The Plant Genome
|
August 9, 2021
Assessing combining abilities, genomic data, and genotype × environment interactions to predict hybrid grain sorghum performance
Jales M O Fonseca, Patricia E Klein, Jose Crossa, et al.
Page
of 10
Search research articles
Search
Showing results (31-40 of 99) with videos related to
Sort By:
Page
of 10
G3 (Bethesda, Md.)
|
July 28, 2018
BGGE: A New Package for Genomic-Enabled Prediction Incorporating Genotype × Environment Interaction Models
Italo Granato, Jaime Cuevas, Francisco Luna-Vázquez, et al.
Foods (Basel, Switzerland)
|
September 28, 2021
Drought and Heat Stress Impacts on Phenolic Acids Accumulation in Durum Wheat Cultivars
Barbara Laddomada, Antonio Blanco, Giovanni Mita, et al.
Frontiers in Genetics
|
November 16, 2020
Approximate Genome-Based Kernel Models for Large Data Sets Including Main Effects and Interactions
Jaime Cuevas, Osval A Montesinos-López, J W R Martini, et al.
Frontiers in Plant Science
|
July 15, 2021
Application of Genomic Selection at the Early Stage of Breeding Pipeline in Tropical Maize
Yoseph Beyene, Manje Gowda, Paulino Pérez-Rodríguez, et al.
The Plant Genome
|
July 21, 2017
Increasing Genomic-Enabled Prediction Accuracy by Modeling Genotype × Environment Interactions in Kansas Wheat
Diego Jarquín, Cristiano Lemes da Silva, R Chris Gaynor, et al.
Applied & Translational Genomics
|
December 27, 2016
Wheat quality improvement at CIMMYT and the use of genomic selection on it
Carlos Guzman, Roberto Javier Peña, Ravi Singh, et al.
Scientific Reports
|
May 20, 2020
Regularized selection indices for breeding value prediction using hyper-spectral image data
Marco Lopez-Cruz, Eric Olson, Gabriel Rovere, et al.
Frontiers in Plant Science
|
May 3, 2021
The Modern Plant Breeding Triangle: Optimizing the Use of Genomics, Phenomics, and Enviromics Data
Jose Crossa, Roberto Fritsche-Neto, Osval A Montesinos-Lopez, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
|
September 14, 2011
Genetic analysis of adult plant, quantitative resistance to stripe rust in wheat cultivar 'Stephens' in multi-environment trials
M Dolores Vazquez, C James Peterson, Oscar Riera-Lizarazu, et al.
The Plant Genome
|
August 9, 2021
Assessing combining abilities, genomic data, and genotype × environment interactions to predict hybrid grain sorghum performance
Jales M O Fonseca, Patricia E Klein, Jose Crossa, et al.
Page
of 10