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José Crossa

Showing results (1-10 of 177) with videos related to

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Frontiers in Physiology|June 8, 2012
I.4 Screening Experimental Designs for Quantitative Trait Loci, Association Mapping, Genotype-by Environment Interaction, and Other InvestigationsWalter T Federer, José Crossa
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
Crop Science|December 21, 2020
SASHAYDIALL: A SAS Program for Hayman's Diallel AnalysisDan Makumbi, Gregorio Alvarado, José Crossa, et al.
Methods in Molecular Biology (Clifton, N.J.)|April 22, 2022
Incorporating Omics Data in Genomic PredictionJohannes W R Martini, Ning Gao, José Crossa
Heredity|August 29, 2020
Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trialsGermano Costa-Neto, Roberto Fritsche-Neto, José Crossa
Theoretical Population Biology|January 29, 2020
On the approximation of interaction effect models by Hadamard powers of the additive genomic relationshipJohannes W R Martini, Fernando H Toledo, José Crossa
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|June 3, 2018
When less can be better: How can we make genomic selection more cost-effective and accurate in barley?Amina Abed, Paulino Pérez-Rodríguez, José Crossa, et al.
BMC Plant Biology|November 29, 2019
The impact of sample selection strategies on genetic diversity and representativeness in germplasm bank collectionsJorge Franco-Duran, José Crossa, Jiafa Chen, et al.
The Plant Genome|May 14, 2011
Genomic-Enabled Prediction Based on Molecular Markers and Pedigree Using the Bayesian Linear Regression Package in RPaulino Pérez, Gustavo de Los Campos, José Crossa, et al.
G3 (Bethesda, Md.)|June 16, 2019
isqg: A Binary Framework for <i>in Silico</i> Quantitative GeneticsFernando H Toledo, Paulino Pérez-Rodríguez, José Crossa, et al.
Pageof 18

Showing results (1-10 of 177) with videos related to

Sort By:
Pageof 18
Frontiers in Physiology|June 8, 2012
I.4 Screening Experimental Designs for Quantitative Trait Loci, Association Mapping, Genotype-by Environment Interaction, and Other InvestigationsWalter T Federer, José Crossa
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
Crop Science|December 21, 2020
SASHAYDIALL: A SAS Program for Hayman's Diallel AnalysisDan Makumbi, Gregorio Alvarado, José Crossa, et al.
Methods in Molecular Biology (Clifton, N.J.)|April 22, 2022
Incorporating Omics Data in Genomic PredictionJohannes W R Martini, Ning Gao, José Crossa
Heredity|August 29, 2020
Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trialsGermano Costa-Neto, Roberto Fritsche-Neto, José Crossa
Theoretical Population Biology|January 29, 2020
On the approximation of interaction effect models by Hadamard powers of the additive genomic relationshipJohannes W R Martini, Fernando H Toledo, José Crossa
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|June 3, 2018
When less can be better: How can we make genomic selection more cost-effective and accurate in barley?Amina Abed, Paulino Pérez-Rodríguez, José Crossa, et al.
BMC Plant Biology|November 29, 2019
The impact of sample selection strategies on genetic diversity and representativeness in germplasm bank collectionsJorge Franco-Duran, José Crossa, Jiafa Chen, et al.
The Plant Genome|May 14, 2011
Genomic-Enabled Prediction Based on Molecular Markers and Pedigree Using the Bayesian Linear Regression Package in RPaulino Pérez, Gustavo de Los Campos, José Crossa, et al.
G3 (Bethesda, Md.)|June 16, 2019
isqg: A Binary Framework for <i>in Silico</i> Quantitative GeneticsFernando H Toledo, Paulino Pérez-Rodríguez, José Crossa, et al.
Pageof 18