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Diego Jarquin

Showing results (1-10 of 59) with videos related to

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Evolutionary Bioinformatics Online|April 9, 2019
Genomic Prediction Using Canopy Coverage Image and Genotypic Information in Soybean via a Hybrid ModelReka Howard, Diego Jarquin
The Plant Genome|December 9, 2022
Comparing artificial-intelligence techniques with state-of-the-art parametric prediction models for predicting soybean traitsSusweta Ray, Diego Jarquin, Reka Howard
G3 (Bethesda, Md.)|June 2, 2016
Prospects of Genomic Prediction in the USDA Soybean Germplasm Collection: Historical Data Creates Robust Models for Enhancing Selection of AccessionsDiego Jarquin, James Specht, Aaron Lorenz
Methods in Molecular Biology (Clifton, N.J.)|April 22, 2022
Overview of Genomic Prediction Methods and the Associated Assumptions on the Variance of Marker Effect, and on the Architecture of the Target TraitRéka Howard, Diego Jarquin, José Crossa
The Plant Genome|June 12, 2026
Missing comparability: When genomic selection faces field variability. A case study in soybeansEdmundo Caballero, Julian Garcia-Abadillo, Diego Jarquin
The Plant Genome|July 20, 2018
Genomic-enabled Prediction Accuracies Increased by Modeling Genotype × Environment Interaction in Durum WheatSivakumar Sukumaran, Diego Jarquin, Jose Crossa, et al.
Frontiers in Genetics|August 9, 2021
An Assessment of the Factors Influencing the Prediction Accuracy of Genomic Prediction Models Across Multiple EnvironmentsSarah Widener, George Graef, Alexander E Lipka, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 27, 2022
Statistical Methods for the Quantitative Genetic Analysis of High-Throughput Phenotyping DataGota Morota, Diego Jarquin, Malachy T Campbell, et al.
Frontiers in Genetics|September 26, 2022
Incorporation of Soil-Derived Covariates in Progeny Testing and Line Selection to Enhance Genomic Prediction Accuracy in Soybean BreedingCaio Canella Vieira, Reyna Persa, Pengyin Chen, et al.
G3 (Bethesda, Md.)|December 2, 2016
Genomic Prediction with Pedigree and Genotype × Environment Interaction in Spring Wheat Grown in South and West Asia, North Africa, and MexicoSivakumar Sukumaran, Jose Crossa, Diego Jarquin, et al.
Pageof 6

Showing results (1-10 of 59) with videos related to

Sort By:
Pageof 6
Evolutionary Bioinformatics Online|April 9, 2019
Genomic Prediction Using Canopy Coverage Image and Genotypic Information in Soybean via a Hybrid ModelReka Howard, Diego Jarquin
The Plant Genome|December 9, 2022
Comparing artificial-intelligence techniques with state-of-the-art parametric prediction models for predicting soybean traitsSusweta Ray, Diego Jarquin, Reka Howard
G3 (Bethesda, Md.)|June 2, 2016
Prospects of Genomic Prediction in the USDA Soybean Germplasm Collection: Historical Data Creates Robust Models for Enhancing Selection of AccessionsDiego Jarquin, James Specht, Aaron Lorenz
Methods in Molecular Biology (Clifton, N.J.)|April 22, 2022
Overview of Genomic Prediction Methods and the Associated Assumptions on the Variance of Marker Effect, and on the Architecture of the Target TraitRéka Howard, Diego Jarquin, José Crossa
The Plant Genome|June 12, 2026
Missing comparability: When genomic selection faces field variability. A case study in soybeansEdmundo Caballero, Julian Garcia-Abadillo, Diego Jarquin
The Plant Genome|July 20, 2018
Genomic-enabled Prediction Accuracies Increased by Modeling Genotype × Environment Interaction in Durum WheatSivakumar Sukumaran, Diego Jarquin, Jose Crossa, et al.
Frontiers in Genetics|August 9, 2021
An Assessment of the Factors Influencing the Prediction Accuracy of Genomic Prediction Models Across Multiple EnvironmentsSarah Widener, George Graef, Alexander E Lipka, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 27, 2022
Statistical Methods for the Quantitative Genetic Analysis of High-Throughput Phenotyping DataGota Morota, Diego Jarquin, Malachy T Campbell, et al.
Frontiers in Genetics|September 26, 2022
Incorporation of Soil-Derived Covariates in Progeny Testing and Line Selection to Enhance Genomic Prediction Accuracy in Soybean BreedingCaio Canella Vieira, Reyna Persa, Pengyin Chen, et al.
G3 (Bethesda, Md.)|December 2, 2016
Genomic Prediction with Pedigree and Genotype × Environment Interaction in Spring Wheat Grown in South and West Asia, North Africa, and MexicoSivakumar Sukumaran, Jose Crossa, Diego Jarquin, et al.
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