R. Rincent

发表

Maximizing the Reliability of Genomic Selection by Optimizing the Calibration Set of Reference Individuals: Comparison of Methods in Two Diverse Groups of Maize Inbreds (Zea mays L.)

A. Melchinger, T. Altmann, H. Monod, 2012, Genetics.

Intraspecific variation of recombination rate in maize

O. Martin, N. Ranc, A. Melchinger, 2013, Genome Biology.

Using environmental clustering to identify specific drought tolerance QTLs in bread wheat (T. aestivum L.)

S. Praud, P. Dubreuil, J. Le Gouis, 2019, Theoretical and Applied Genetics.

Optimization of multi-environment trials for genomic selection based on crop models

V. Allard, H. Monod, J. Le Gouis, 2017, Theoretical and Applied Genetics.

Wheat individual grain-size variance originates from crop development and from specific genetic determinism

V. Allard, J. Le Gouis, C. Girousse, 2020, PloS one.

Association mapping for cold tolerance in two large maize inbred panels

A. Ordás, A. Melchinger, T. Altmann, 2016, BMC Plant Biology.

Recovering Power in Association Mapping Panels with Variable Levels of Linkage Disequilibrium

E. Kuhn, A. Melchinger, T. Altmann, 2014, Genetics.

Maximizing the reliability of genomic selection by optimizing the calibration set of 1 reference individuals: Comparison of methods in two diverse groups of maize inbreds 2

A. Melchinger, T. Altmann, H. Monod, 2012 .

Training population optimization for genomic selection improves the predictive ability of a costly measure in bread wheat, the gliadin to glutenin ratio

C. Ravel, E. Paux, R. Rincent, 2022, Euphytica.

Genome and Environment Based Prediction Models and Methods of Complex Traits Incorporating Genotype × Environment Interaction.

P. Pérez-Rodríguez, M. Lillemo, D. Jarquín, 2022, Methods in molecular biology.

Scalable Sparse Testing Genomic Selection Strategy for Early Yield Testing Stage

Y. Beyene, Prasanna M. Boddupalli, K. Dreher, 2021, Frontiers in Plant Science.

Phenomic selection in wheat breeding: prediction of the genotype-by-environment interaction in multi-environment breeding trials

T. Mary-Huard, J. Le Gouis, E. Heumez, 2022, Theoretical and Applied Genetics.

Bayesian high-dimensional covariate selection in non-linear mixed-effects models using the SAEM algorithm

G. K. K. King, R. Rincent, M. Delattre, 2022, 2206.01012.

Phenomic selection in wheat breeding: identification and optimisation of factors influencing prediction accuracy and comparison to genomic selection

J. Le Gouis, E. Heumez, R. Rincent, 2022, Theoretical and Applied Genetics.

Predicting genomic selection efficiency to optimize calibration set and to assess prediction accuracy in highly structured populations

A. Charcosset, L. Moreau, R. Rincent, 2017, Theoretical and Applied Genetics.

Training set optimization of genomic prediction by means of EthAcc

Renaud Rincent, Laurence Moreau, Brigitte Mangin, 2019, PloS one.

Combining Crop Growth Modeling With Trait-Assisted Prediction Improved the Prediction of Genotype by Environment Interactions

J. Le Gouis, R. Rincent, P. Robert, 2020, Frontiers in Plant Science.

Economical optimization of a breeding scheme by selective phenotyping of the calibration set in a multi-trait context: application to bread making quality

G. Charmet, C. Ravel, E. Heumez, 2020, Theoretical and Applied Genetics.

Using crop growth model stress covariates and AMMI decomposition to better predict genotype-by-environment interactions

F. V. van Eeuwijk, M. Malosetti, P. Martre, 2019, Theoretical and Applied Genetics.

Phenomic Selection Is a Low-Cost and High-Throughput Method Based on Indirect Predictions: Proof of Concept on Wheat and Poplar

C. Bastien, V. Segura, J. Charpentier, 2018, G3: Genes, Genomes, Genetics.

Whole-genome prediction of reaction norms to environmental stress in bread wheat (Triticum aestivum L.) by genomic random regression

S. Huet, J. Jannink, G. Charmet, 2018 .

Nitrogen nutrition index predicted by a crop model improves the genomic prediction of grain number for a bread wheat core collection

K. Chenu, S. Huet, P. Martre, 2017 .

Population Genomics Along With Quantitative Genetics Provides a More Efficient Valorization of Crop Plant Genetic Diversity in Breeding and Pre-breeding Programs

J. Elsen, R. Rincent, S. Bouchet, 2021, Population Genomics.

Dent and Flint maize diversity panels reveal important genetic potential for increasing biomass production

A. Melchinger, T. Altmann, C. Schoen, 2014, Theoretical and Applied Genetics.

Genomic prediction for grain yield and micro-environmental sensitivity in winter wheat

P. Sarup, L. Moreau, T. Mary-Huard, 2023, Frontiers in Plant Science.

Genetic Analysis of Platform-Phenotyped Root System Architecture of Bread and Durum Wheat in Relation to Agronomic Traits

V. Allard, P. Roumet, P. Dubreuil, 2022, Frontiers in Plant Science.

Cold tolerance in two large maize inbred panels adapted to European climates

Thomas Altmann, Alain Charcosset, Eva Bauer, 2014 .

metaGE: Investigating Genotype × Environment interactions through meta-analysis

C. Welcker, S. Nicolas, A. Charcosset, 2023, bioRxiv.

Using environmental clustering to identify specific drought tolerance QTLs in bread wheat (T. aestivum L.)

S. Praud, P. Dubreuil, J. Le Gouis, 2019, Theoretical and Applied Genetics.

BWGS: A R package for genomic selection and its application to a wheat breeding programme

Renaud Rincent, Gilles Charmet, Louis Gautier Tran, 2019, bioRxiv.

Economical optimization of a breeding scheme by selective phenotyping of the calibration set in a multi-trait context: application to bread making quality

G. Charmet, C. Ravel, E. Heumez, 2020, Theoretical and Applied Genetics.

[COMPARATIVE VALUE OF FOLIN'S COLORIMETRIC METHOD AND PRAETORIUS' ENZYME METHOD FOR THE DETERMINATION OF URICEMIA AND URATURIA].

R. Rincent, M. Kahn, A. Ryckewaert, 1964, Pathologie et biologie.

Plant metabolomics and breeding

Emilie J. Millet, Y. Gibon, S. Prigent, 2020 .

Dent and Flint maize diversity panels reveal important genetic potential for increasing biomass production

A. Melchinger, T. Altmann, C. Schoen, 2014, Theoretical and Applied Genetics.

Phenomic selection in wheat breeding: identification and optimisation of factors influencing prediction accuracy and comparison to genomic selection

J. Le Gouis, E. Heumez, R. Rincent, 2022, Theoretical and Applied Genetics.

Phenomic Selection: A New and Efficient Alternative to Genomic Selection.

V. Segura, R. Rincent, Charlotte Brault, 2022, Methods in molecular biology.

Predicting genomic selection efficiency to optimize calibration set and to assess prediction accuracy in highly structured populations

A. Charcosset, L. Moreau, R. Rincent, 2017, Theoretical and Applied Genetics.

Optimization of association genetics and genomic selection strategies for populations of different diversity levels : Application in maize (Zea mays L.)

R. Rincent, 2014 .

Intraspecific variation of recombination rate in maize

O. Martin, N. Ranc, A. Melchinger, 2013, Genome Biology.

Intraspecific variation of recombination rate in maize

A. Charcosset, C. Schön, Hildrun Walter, 2013, Genome Biology.

MegaLMM improves genomic predictions in new environments using environmental covariates

R. Rincent, Haixiao Hu, Daniel E. Runcie, 2024, bioRxiv.

Genetic regions determine tolerance to nitrogen deficiency in European elite bread wheats grown under contrasting nitrogen stress scenarios

J. Le Gouis, R. Rincent, Katia Beauchêne, 2023, Theoretical and Applied Genetics.

Bayesian high-dimensional covariate selection in non-linear mixed-effects models using the SAEM algorithm

R. Rincent, M. Delattre, L. Sansonnet, 2022, Stat. Comput..

Plasticity QTLs specifically contribute to the genotype × water availability interaction in maize

Mélisande Blein-Nicolas, R. Rincent, Yacine Djabali, 2023, Theoretical and Applied Genetics.

Phenomic selection: a low-cost and high-throughput method based on indirect predictions. Proof of concept on wheat and poplar

C. Bastien, V. Segura, J. Charpentier, 2018, bioRxiv.

Different wheat loci are associated to heritable free asparagine content in grain grown under different water and nitrogen availability.

J. Blancon, J. Le Gouis, R. Rincent, 2024, TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik.