| 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 … R Rincent, D Laloë, S Nicolas, T Altmann, D Brunel, P Revilla, ... Genetics 192 (2), 715-728, 2012 | 316 | 2012 |
| Intraspecific variation of recombination rate in maize E Bauer, M Falque, H Walter, C Bauland, C Camisan, L Campo, N Meyer, ... Genome biology 14, 1-17, 2013 | 202 | 2013 |
| Phenomic selection is a low-cost and high-throughput method based on indirect predictions: proof of concept on wheat and poplar R Rincent, JP Charpentier, P Faivre-Rampant, E Paux, J Le Gouis, ... G3: Genes, Genomes, Genetics 8 (12), 3961-3972, 2018 | 140 | 2018 |
| Recovering power in association mapping panels with variable levels of linkage disequilibrium R Rincent, L Moreau, H Monod, E Kuhn, AE Melchinger, RA Malvar, ... Genetics 197 (1), 375-387, 2014 | 94 | 2014 |
| Association mapping for cold tolerance in two large maize inbred panels P Revilla, VM Rodríguez, A Ordás, R Rincent, A Charcosset, C Giauffret, ... BMC plant biology 16, 1-10, 2016 | 87 | 2016 |
| Whole-genome prediction of reaction norms to environmental stress in bread wheat (Triticum aestivum L.) by genomic random regression D Ly, S Huet, A Gauffreteau, R Rincent, G Touzy, A Mini, JL Jannink, ... Field crops research 216, 32-41, 2018 | 67 | 2018 |
| Predicting genomic selection efficiency to optimize calibration set and to assess prediction accuracy in highly structured populations R Rincent, A Charcosset, L Moreau Theoretical and applied genetics 130, 2231-2247, 2017 | 62 | 2017 |
| Optimization of multi-environment trials for genomic selection based on crop models R Rincent, E Kuhn, H Monod, FX Oury, M Rousset, V Allard, J Le Gouis Theoretical and Applied Genetics 130, 1735-1752, 2017 | 58 | 2017 |
| BWGS: AR package for genomic selection and its application to a wheat breeding programme G Charmet, LG Tran, J Auzanneau, R Rincent, S Bouchet PloS one 15 (4), e0222733, 2020 | 53 | 2020 |
| Dent and Flint maize diversity panels reveal important genetic potential for increasing biomass production R Rincent, S Nicolas, S Bouchet, T Altmann, D Brunel, P Revilla, ... Theoretical and applied genetics 127, 2313-2331, 2014 | 49 | 2014 |
| Using crop growth model stress covariates and AMMI decomposition to better predict genotype-by-environment interactions R Rincent, M Malosetti, B Ababaei, G Touzy, A Mini, M Bogard, P Martre, ... Theoretical and Applied Genetics 132, 3399-3411, 2019 | 47 | 2019 |
| Using environmental clustering to identify specific drought tolerance QTLs in bread wheat (T. aestivum L.) G Touzy, R Rincent, M Bogard, S Lafarge, P Dubreuil, A Mini, ... Theoretical and Applied Genetics 132, 2859-2880, 2019 | 44 | 2019 |
| Cold tolerance in two large maize inbred panels adapted to European climates P Revilla, VM Rodríguez, A Ordás, R Rincent, A Charcosset, C Giauffret, ... Crop Science 54 (5), 1981-1991, 2014 | 41 | 2014 |
| Training set optimization of genomic prediction by means of EthAcc B Mangin, R Rincent, CE Rabier, L Moreau, E Goudemand-Dugue PLoS One 14 (2), e0205629, 2019 | 34 | 2019 |
| Wheat individual grain-size variance originates from crop development and from specific genetic determinism A Beral, R Rincent, J Le Gouis, C Girousse, V Allard PLoS One 15 (3), e0230689, 2020 | 31 | 2020 |
| Economical optimization of a breeding scheme by selective phenotyping of the calibration set in a multi-trait context: application to bread making quality S Ben-Sadoun, R Rincent, J Auzanneau, FX Oury, B Rolland, E Heumez, ... Theoretical and Applied Genetics 133, 2197-2212, 2020 | 30 | 2020 |
| Nitrogen nutrition index predicted by a crop model improves the genomic prediction of grain number for a bread wheat core collection D Ly, K Chenu, A Gauffreteau, R Rincent, S Huet, D Gouache, P Martre, ... Field crops research 214, 331-340, 2017 | 25 | 2017 |
| Combining crop growth modeling with trait-assisted prediction improved the prediction of genotype by environment interactions P Robert, J Le Gouis, BreedWheat Consortium, R Rincent Frontiers in plant science 11, 827, 2020 | 24 | 2020 |
| Phenomic selection in wheat breeding: identification and optimisation of factors influencing prediction accuracy and comparison to genomic selection P Robert, J Auzanneau, E Goudemand, FX Oury, B Rolland, E Heumez, ... Theoretical and Applied Genetics, 1-20, 2022 | 23 | 2022 |
| Scalable sparse testing genomic selection strategy for early yield testing stage SA Atanda, M Olsen, J Crossa, J Burgueño, R Rincent, D Dzidzienyo, ... Frontiers in Plant Science 12, 658978, 2021 | 19 | 2021 |
