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Jose Crossa

Showing results (11-20 of 99) with videos related to

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TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|January 2, 2010
Gene action of canopy temperature in bread wheat under diverse environmentsCarolina Saint Pierre, Jose Crossa, Yann Manes, et al.
Methods in Molecular Biology (Clifton, N.J.)|September 1, 2017
Applications of Genomic Selection in Breeding Wheat for Rust ResistanceLeonardo Ornella, Juan Manuel González-Camacho, Susanne Dreisigacker, 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.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|March 16, 2006
Mapping QTLs and QTL x environment interaction for CIMMYT maize drought stress program using factorial regression and partial least squares methodsMateo Vargas, Fred A van Eeuwijk, Jose Crossa, et al.
The Plant Genome|November 20, 2020
On Hadamard and Kronecker products in covariance structures for genotype × environment interactionJohannes W R Martini, Jose Crossa, Fernando H Toledo, et al.
Plant Phenomics (Washington, D.C.)|April 27, 2026
Comparing statistical 'phenomic prediction' models for remote-sensing-based phenotyping of maize susceptibility to common rustJohannes W R Martini, Osval A Montesinos-Lopez, Jose Crossa, et al.
Plant Science : an International Journal of Experimental Plant Biology|November 15, 2015
Breeding schemes for the implementation of genomic selection in wheat (Triticum spp.)Filippo M Bassi, Alison R Bentley, Gilles Charmet, et al.
Molecular Breeding : New Strategies in Plant Improvement|January 17, 2024
Multispectral-derived genotypic similarities from budget cameras allow grain yield prediction and genomic selection augmentation in single and multi-environment scenarios in spring wheatTomasz Mróz, Sahameh Shafiee, Jose Crossa, et al.
Molecular Plant|November 11, 2022
DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plantsKelin Wang, Muhammad Ali Abid, Awais Rasheed, et al.
Frontiers in Genetics|February 11, 2020
Enhancing Hybrid Prediction in Pearl Millet Using Genomic and/or Multi-Environment Phenotypic Information of InbredsDiego Jarquin, Reka Howard, Zhikai Liang, et al.
Pageof 10

Showing results (11-20 of 99) with videos related to

Sort By:
Pageof 10
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|January 2, 2010
Gene action of canopy temperature in bread wheat under diverse environmentsCarolina Saint Pierre, Jose Crossa, Yann Manes, et al.
Methods in Molecular Biology (Clifton, N.J.)|September 1, 2017
Applications of Genomic Selection in Breeding Wheat for Rust ResistanceLeonardo Ornella, Juan Manuel González-Camacho, Susanne Dreisigacker, 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.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|March 16, 2006
Mapping QTLs and QTL x environment interaction for CIMMYT maize drought stress program using factorial regression and partial least squares methodsMateo Vargas, Fred A van Eeuwijk, Jose Crossa, et al.
The Plant Genome|November 20, 2020
On Hadamard and Kronecker products in covariance structures for genotype × environment interactionJohannes W R Martini, Jose Crossa, Fernando H Toledo, et al.
Plant Phenomics (Washington, D.C.)|April 27, 2026
Comparing statistical 'phenomic prediction' models for remote-sensing-based phenotyping of maize susceptibility to common rustJohannes W R Martini, Osval A Montesinos-Lopez, Jose Crossa, et al.
Plant Science : an International Journal of Experimental Plant Biology|November 15, 2015
Breeding schemes for the implementation of genomic selection in wheat (Triticum spp.)Filippo M Bassi, Alison R Bentley, Gilles Charmet, et al.
Molecular Breeding : New Strategies in Plant Improvement|January 17, 2024
Multispectral-derived genotypic similarities from budget cameras allow grain yield prediction and genomic selection augmentation in single and multi-environment scenarios in spring wheatTomasz Mróz, Sahameh Shafiee, Jose Crossa, et al.
Molecular Plant|November 11, 2022
DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plantsKelin Wang, Muhammad Ali Abid, Awais Rasheed, et al.
Frontiers in Genetics|February 11, 2020
Enhancing Hybrid Prediction in Pearl Millet Using Genomic and/or Multi-Environment Phenotypic Information of InbredsDiego Jarquin, Reka Howard, Zhikai Liang, et al.
Pageof 10