Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Renaud Rincent

Showing results (1-10 of 30) with videos related to

Pageof 3
Sort By:
Genetics|October 29, 2024
MegaLMM improves genomic predictions in new environments using environmental covariatesHaixiao Hu, Renaud Rincent, Daniel E Runcie
Frontiers in Plant Science|July 9, 2020
Combining Crop Growth Modeling With Trait-Assisted Prediction Improved the Prediction of Genotype by Environment InteractionsPauline Robert, Jacques Le Gouis, , et al.
Methods in Molecular Biology (Clifton, N.J.)|April 22, 2022
Phenomic Selection: A New and Efficient Alternative to Genomic SelectionPauline Robert, Charlotte Brault, Renaud Rincent, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|October 19, 2023
Plasticity QTLs specifically contribute to the genotype × water availability interaction in maizeYacine Djabali, Renaud Rincent, Marie-Laure Martin, et al.
Plos One|March 28, 2020
Wheat individual grain-size variance originates from crop development and from specific genetic determinismAurore Beral, Renaud Rincent, Jacques Le Gouis, et al.
The Plant Genome|January 8, 2025
Improvement in genomic prediction of maize with prior gene ontology information depends on traits and environmental conditionsBaber Ali, Tristan Mary-Huard, Alain Charcosset, et al.
Plos One|April 3, 2020
BWGS: A R package for genomic selection and its application to a wheat breeding programmeGilles Charmet, Louis-Gautier Tran, Jérôme Auzanneau, et al.
Methods in Molecular Biology (Clifton, N.J.)|April 22, 2022
Building a Calibration Set for Genomic Prediction, Characteristics to Be Considered, and Optimization ApproachesSimon Rio, Alain Charcosset, Tristan Mary-Huard, et al.
Plos One|February 20, 2019
Training set optimization of genomic prediction by means of EthAccBrigitte Mangin, Renaud Rincent, Charles-Elie Rabier, et al.
G3 (Bethesda, Md.)|October 31, 2018
Phenomic Selection Is a Low-Cost and High-Throughput Method Based on Indirect Predictions: Proof of Concept on Wheat and PoplarRenaud Rincent, Jean-Paul Charpentier, Patricia Faivre-Rampant, et al.
Pageof 3

Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
Genetics|October 29, 2024
MegaLMM improves genomic predictions in new environments using environmental covariatesHaixiao Hu, Renaud Rincent, Daniel E Runcie
Frontiers in Plant Science|July 9, 2020
Combining Crop Growth Modeling With Trait-Assisted Prediction Improved the Prediction of Genotype by Environment InteractionsPauline Robert, Jacques Le Gouis, , et al.
Methods in Molecular Biology (Clifton, N.J.)|April 22, 2022
Phenomic Selection: A New and Efficient Alternative to Genomic SelectionPauline Robert, Charlotte Brault, Renaud Rincent, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|October 19, 2023
Plasticity QTLs specifically contribute to the genotype × water availability interaction in maizeYacine Djabali, Renaud Rincent, Marie-Laure Martin, et al.
Plos One|March 28, 2020
Wheat individual grain-size variance originates from crop development and from specific genetic determinismAurore Beral, Renaud Rincent, Jacques Le Gouis, et al.
The Plant Genome|January 8, 2025
Improvement in genomic prediction of maize with prior gene ontology information depends on traits and environmental conditionsBaber Ali, Tristan Mary-Huard, Alain Charcosset, et al.
Plos One|April 3, 2020
BWGS: A R package for genomic selection and its application to a wheat breeding programmeGilles Charmet, Louis-Gautier Tran, Jérôme Auzanneau, et al.
Methods in Molecular Biology (Clifton, N.J.)|April 22, 2022
Building a Calibration Set for Genomic Prediction, Characteristics to Be Considered, and Optimization ApproachesSimon Rio, Alain Charcosset, Tristan Mary-Huard, et al.
Plos One|February 20, 2019
Training set optimization of genomic prediction by means of EthAccBrigitte Mangin, Renaud Rincent, Charles-Elie Rabier, et al.
G3 (Bethesda, Md.)|October 31, 2018
Phenomic Selection Is a Low-Cost and High-Throughput Method Based on Indirect Predictions: Proof of Concept on Wheat and PoplarRenaud Rincent, Jean-Paul Charpentier, Patricia Faivre-Rampant, et al.
Pageof 3