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Jose Crossa

Showing results (41-50 of 99) with videos related to

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The Plant Genome|July 29, 2021
Application of a Poisson deep neural network model for the prediction of count data in genome-based predictionOsval A Montesinos-Lopez, Jose C Montesinos-Lopez, Eduardo Salazar, et al.
Frontiers in Plant Science|March 24, 2022
Automated Machine Learning: A Case Study of Genomic "Image-Based" Prediction in Maize HybridsGiovanni Galli, Felipe Sabadin, Rafael Massahiro Yassue, et al.
Frontiers in Genetics|December 28, 2020
Genome-Wide Association Mapping and Genomic Prediction of Anther Extrusion in CIMMYT Hybrid Wheat Breeding Program via Modeling Pedigree, Genomic Relationship, and Interaction With the EnvironmentAnil Adhikari, Bhoja Raj Basnet, Jose Crossa, et al.
Frontiers in Plant Science|January 28, 2022
Response to Early Generation Genomic Selection for Yield in WheatDavid Bonnett, Yongle Li, Jose Crossa, et al.
The Plant Genome|July 21, 2017
Comparison of Models and Whole-Genome Profiling Approaches for Genomic-Enabled Prediction of Septoria Tritici Blotch, Stagonospora Nodorum Blotch, and Tan Spot Resistance in WheatPhilomin Juliana, Ravi P Singh, Pawan K Singh, et al.
The Plant Genome|November 20, 2020
Genome-based prediction of multiple wheat quality traits in multiple yearsMaria Itria Ibba, Jose Crossa, Osval A Montesinos-López, et al.
Briefings in Bioinformatics|August 15, 2025
EXGEP: a framework for predicting genotype-by-environment interactions using ensembles of explainable machine-learning modelsTingxi Yu, Hao Zhang, Shoukun Chen, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|November 6, 2012
QTL mapping in three tropical maize populations reveals a set of constitutive and adaptive genomic regions for drought toleranceGustavo Dias Almeida, Dan Makumbi, Cosmos Magorokosho, et al.
Molecular Breeding : New Strategies in Plant Improvement|August 1, 2014
Molecular mapping across three populations reveals a QTL hotspot region on chromosome 3 for secondary traits associated with drought tolerance in tropical maizeGustavo Dias Almeida, Sudha Nair, Aluízio Borém, et al.
G3 (Bethesda, Md.)|April 30, 2017
Genomic-Enabled Prediction in Maize Using Kernel Models with Genotype × Environment InteractionMassaine Bandeira E Sousa, Jaime Cuevas, Evellyn Giselly de Oliveira Couto, et al.
Pageof 10

Showing results (41-50 of 99) with videos related to

Sort By:
Pageof 10
The Plant Genome|July 29, 2021
Application of a Poisson deep neural network model for the prediction of count data in genome-based predictionOsval A Montesinos-Lopez, Jose C Montesinos-Lopez, Eduardo Salazar, et al.
Frontiers in Plant Science|March 24, 2022
Automated Machine Learning: A Case Study of Genomic "Image-Based" Prediction in Maize HybridsGiovanni Galli, Felipe Sabadin, Rafael Massahiro Yassue, et al.
Frontiers in Genetics|December 28, 2020
Genome-Wide Association Mapping and Genomic Prediction of Anther Extrusion in CIMMYT Hybrid Wheat Breeding Program via Modeling Pedigree, Genomic Relationship, and Interaction With the EnvironmentAnil Adhikari, Bhoja Raj Basnet, Jose Crossa, et al.
Frontiers in Plant Science|January 28, 2022
Response to Early Generation Genomic Selection for Yield in WheatDavid Bonnett, Yongle Li, Jose Crossa, et al.
The Plant Genome|July 21, 2017
Comparison of Models and Whole-Genome Profiling Approaches for Genomic-Enabled Prediction of Septoria Tritici Blotch, Stagonospora Nodorum Blotch, and Tan Spot Resistance in WheatPhilomin Juliana, Ravi P Singh, Pawan K Singh, et al.
The Plant Genome|November 20, 2020
Genome-based prediction of multiple wheat quality traits in multiple yearsMaria Itria Ibba, Jose Crossa, Osval A Montesinos-López, et al.
Briefings in Bioinformatics|August 15, 2025
EXGEP: a framework for predicting genotype-by-environment interactions using ensembles of explainable machine-learning modelsTingxi Yu, Hao Zhang, Shoukun Chen, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|November 6, 2012
QTL mapping in three tropical maize populations reveals a set of constitutive and adaptive genomic regions for drought toleranceGustavo Dias Almeida, Dan Makumbi, Cosmos Magorokosho, et al.
Molecular Breeding : New Strategies in Plant Improvement|August 1, 2014
Molecular mapping across three populations reveals a QTL hotspot region on chromosome 3 for secondary traits associated with drought tolerance in tropical maizeGustavo Dias Almeida, Sudha Nair, Aluízio Borém, et al.
G3 (Bethesda, Md.)|April 30, 2017
Genomic-Enabled Prediction in Maize Using Kernel Models with Genotype × Environment InteractionMassaine Bandeira E Sousa, Jaime Cuevas, Evellyn Giselly de Oliveira Couto, et al.
Pageof 10