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Tuong-Vi Cao

Showing results (1-10 of 11) with videos related to

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Frontiers in Genetics|August 25, 2016
A Unified and Comprehensible View of Parametric and Kernel Methods for Genomic Prediction with Application to RiceLaval Jacquin, Tuong-Vi Cao, Nourollah Ahmadi
BMC Bioinformatics|December 5, 2015
DHOEM: a statistical simulation software for simulating new markers in real SNP marker dataLaval Jacquin, Tuong-Vi Cao, Cécile Grenier, et al.
G3 (Bethesda, Md.)|May 11, 2018
Genomic Prediction Accounting for Genotype by Environment Interaction Offers an Effective Framework for Breeding Simultaneously for Adaptation to an Abiotic Stress and Performance Under Normal Cropping Conditions in RiceManel Ben Hassen, Jérôme Bartholomé, Giampiero Valè, et al.
Plos One|September 27, 2023
Genomic selection for salinity tolerance in japonica riceJérôme Bartholomé, Julien Frouin, Laurent Brottier, et al.
Rice (New York, N.Y.)|August 8, 2020
Genome-Wide Association Study for Yield and Yield Related Traits under Reproductive Stage Drought in a Diverse indica-aus Rice PanelAditi Bhandari, Nitika Sandhu, Jérôme Bartholome, et al.
Plos One|May 7, 2019
Selection of trait-specific markers and multi-environment models improve genomic predictive ability in riceAditi Bhandari, Jérôme Bartholomé, Tuong-Vi Cao-Hamadoun, et al.
Plos One|May 20, 2016
Correction: Accuracy of Genomic Selection in a Rice Synthetic Population Developed for Recurrent Selection BreedingCécile Grenier, Tuong-Vi Cao, Yolima Ospina, et al.
Plos One|August 28, 2015
Accuracy of Genomic Selection in a Rice Synthetic Population Developed for Recurrent Selection BreedingCécile Grenier, Tuong-Vi Cao, Yolima Ospina, et al.
G3 (Bethesda, Md.)|September 9, 2021
Impact of early genomic prediction for recurrent selection in an upland rice synthetic populationCédric Baertschi, Tuong-Vi Cao, Jérôme Bartholomé, et al.
Heredity|July 5, 2023
Population improvement via recurrent selection drives genetic gain in upland rice breedingAdriano Pereira de Castro, Flávio Breseghello, Isabela Volpi Furtini, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Frontiers in Genetics|August 25, 2016
A Unified and Comprehensible View of Parametric and Kernel Methods for Genomic Prediction with Application to RiceLaval Jacquin, Tuong-Vi Cao, Nourollah Ahmadi
BMC Bioinformatics|December 5, 2015
DHOEM: a statistical simulation software for simulating new markers in real SNP marker dataLaval Jacquin, Tuong-Vi Cao, Cécile Grenier, et al.
G3 (Bethesda, Md.)|May 11, 2018
Genomic Prediction Accounting for Genotype by Environment Interaction Offers an Effective Framework for Breeding Simultaneously for Adaptation to an Abiotic Stress and Performance Under Normal Cropping Conditions in RiceManel Ben Hassen, Jérôme Bartholomé, Giampiero Valè, et al.
Plos One|September 27, 2023
Genomic selection for salinity tolerance in japonica riceJérôme Bartholomé, Julien Frouin, Laurent Brottier, et al.
Rice (New York, N.Y.)|August 8, 2020
Genome-Wide Association Study for Yield and Yield Related Traits under Reproductive Stage Drought in a Diverse indica-aus Rice PanelAditi Bhandari, Nitika Sandhu, Jérôme Bartholome, et al.
Plos One|May 7, 2019
Selection of trait-specific markers and multi-environment models improve genomic predictive ability in riceAditi Bhandari, Jérôme Bartholomé, Tuong-Vi Cao-Hamadoun, et al.
Plos One|May 20, 2016
Correction: Accuracy of Genomic Selection in a Rice Synthetic Population Developed for Recurrent Selection BreedingCécile Grenier, Tuong-Vi Cao, Yolima Ospina, et al.
Plos One|August 28, 2015
Accuracy of Genomic Selection in a Rice Synthetic Population Developed for Recurrent Selection BreedingCécile Grenier, Tuong-Vi Cao, Yolima Ospina, et al.
G3 (Bethesda, Md.)|September 9, 2021
Impact of early genomic prediction for recurrent selection in an upland rice synthetic populationCédric Baertschi, Tuong-Vi Cao, Jérôme Bartholomé, et al.
Heredity|July 5, 2023
Population improvement via recurrent selection drives genetic gain in upland rice breedingAdriano Pereira de Castro, Flávio Breseghello, Isabela Volpi Furtini, et al.
Pageof 2