Year |
Citation |
Score |
2024 |
Nguyen HA, Martre P, Collet C, Draye X, Salon C, Jeudy C, Rincent R, Muller B. Are high throughput root phenotyping platforms suitable to inform root system architecture models with genotype specific parameters ? An evaluation based on the root model ArchiSimple and a small panel of wheat cultivars. Journal of Experimental Botany. PMID 38520390 DOI: 10.1093/jxb/erae009 |
0.3 |
|
2023 |
Djabali Y, Rincent R, Martin ML, Blein-Nicolas M. Plasticity QTLs specifically contribute to the genotype × water availability interaction in maize. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 136: 228. PMID 37855950 DOI: 10.1007/s00122-023-04458-z |
0.377 |
|
2023 |
Mini A, Touzy G, Beauchêne K, Cohan JP, Heumez E, Oury FX, Rincent R, Lafarge S, Le Gouis J. Genetic regions determine tolerance to nitrogen deficiency in European elite bread wheats grown under contrasting nitrogen stress scenarios. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 136: 218. PMID 37815653 DOI: 10.1007/s00122-023-04468-x |
0.32 |
|
2023 |
Raffo MA, Cuyabano BCD, Rincent R, Sarup P, Moreau L, Mary-Huard T, Jensen J. Genomic prediction for grain yield and micro-environmental sensitivity in winter wheat. Frontiers in Plant Science. 13: 1075077. PMID 36816478 DOI: 10.3389/fpls.2022.1075077 |
0.408 |
|
2022 |
Robert P, Goudemand E, Auzanneau J, Oury FX, Rolland B, Heumez E, Bouchet S, Caillebotte A, Mary-Huard T, Le Gouis J, Rincent R. Phenomic selection in wheat breeding: prediction of the genotype-by-environment interaction in multi-environment breeding trials. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. PMID 35939074 DOI: 10.1007/s00122-022-04170-4 |
0.302 |
|
2022 |
Robert P, Brault C, Rincent R, Segura V. Phenomic Selection: A New and Efficient Alternative to Genomic Selection. Methods in Molecular Biology (Clifton, N.J.). 2467: 397-420. PMID 35451784 DOI: 10.1007/978-1-0716-2205-6_14 |
0.326 |
|
2022 |
Rio S, Charcosset A, Mary-Huard T, Moreau L, Rincent R. Building a Calibration Set for Genomic Prediction, Characteristics to Be Considered, and Optimization Approaches. Methods in Molecular Biology (Clifton, N.J.). 2467: 77-112. PMID 35451773 DOI: 10.1007/978-1-0716-2205-6_3 |
0.547 |
|
2022 |
Colombo M, Roumet P, Salon C, Jeudy C, Lamboeuf M, Lafarge S, Dumas AV, Dubreuil P, Ngo W, Derepas B, Beauchêne K, Allard V, Le Gouis J, Rincent R. Genetic Analysis of Platform-Phenotyped Root System Architecture of Bread and Durum Wheat in Relation to Agronomic Traits. Frontiers in Plant Science. 13: 853601. PMID 35401645 DOI: 10.3389/fpls.2022.853601 |
0.382 |
|
2022 |
Robert P, Auzanneau J, Goudemand E, Oury FX, Rolland B, Heumez E, Bouchet S, Le Gouis J, Rincent R. Phenomic selection in wheat breeding: identification and optimisation of factors influencing prediction accuracy and comparison to genomic selection. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 135: 895-914. PMID 34988629 DOI: 10.1007/s00122-021-04005-8 |
0.34 |
|
2021 |
Atanda SA, Olsen M, Crossa J, Burgueño J, Rincent R, Dzidzienyo D, Beyene Y, Gowda M, Dreher K, Boddupalli PM, Tongoona P, Danquah EY, Olaoye G, Robbins KR. Scalable Sparse Testing Genomic Selection Strategy for Early Yield Testing Stage. Frontiers in Plant Science. 12: 658978. PMID 34239521 DOI: 10.3389/fpls.2021.658978 |
0.359 |
|
2020 |
Robert P, Le Gouis J, Rincent R. Combining Crop Growth Modeling With Trait-Assisted Prediction Improved the Prediction of Genotype by Environment Interactions. Frontiers in Plant Science. 11: 827. PMID 32636859 DOI: 10.3389/fpls.2020.00827 |
0.379 |
|
2020 |
Charmet G, Tran LG, Auzanneau J, Rincent R, Bouchet S. BWGS: A R package for genomic selection and its application to a wheat breeding programme. Plos One. 15: e0222733. PMID 32240182 DOI: 10.1371/Journal.Pone.0222733 |
0.492 |
|
2016 |
Revilla P, Rodríguez VM, Ordás A, Rincent R, Charcosset A, Giauffret C, Melchinger AE, Schön CC, Bauer E, Altmann T, Brunel D, Moreno-González J, Campo L, Ouzunova M, Álvarez Á, et al. Association mapping for cold tolerance in two large maize inbred panels. Bmc Plant Biology. 16: 127. PMID 27267760 DOI: 10.1186/S12870-016-0816-2 |
0.592 |
|
2014 |
Rincent R, Nicolas S, Bouchet S, Altmann T, Brunel D, Revilla P, Malvar RA, Moreno-Gonzalez J, Campo L, Melchinger AE, Schipprack W, Bauer E, Schoen CC, Meyer N, Ouzunova M, et al. Dent and Flint maize diversity panels reveal important genetic potential for increasing biomass production. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 127: 2313-31. PMID 25301321 DOI: 10.1007/S00122-014-2379-7 |
0.621 |
|
2014 |
Rincent R, Moreau L, Monod H, Kuhn E, Melchinger AE, Malvar RA, Moreno-Gonzalez J, Nicolas S, Madur D, Combes V, Dumas F, Altmann T, Brunel D, Ouzunova M, Flament P, et al. Recovering power in association mapping panels with variable levels of linkage disequilibrium. Genetics. 197: 375-87. PMID 24532779 DOI: 10.1534/Genetics.113.159731 |
0.577 |
|
2014 |
Revilla P, Rodríguez VM, Ordás A, Rincent R, Charcosset A, Giauffret C, Melchinger AE, Schön C, Bauer E, Altmann T, Brunel D, Moreno-González J, Campo L, Ouzunova M, Laborde J, et al. Cold Tolerance in Two Large Maize Inbred Panels Adapted to European Climates Crop Science. 54: 1981-1991. DOI: 10.2135/Cropsci2013.11.0733 |
0.513 |
|
2013 |
Bauer E, Falque M, Walter H, Bauland C, Camisan C, Campo L, Meyer N, Ranc N, Rincent R, Schipprack W, Altmann T, Flament P, Melchinger AE, Menz M, Moreno-González J, et al. Intraspecific variation of recombination rate in maize. Genome Biology. 14: R103. PMID 24050704 DOI: 10.1186/Gb-2013-14-9-R103 |
0.579 |
|
2012 |
Rincent R, Laloë D, Nicolas S, Altmann T, Brunel D, Revilla P, RodrÃguez VM, Moreno-Gonzalez J, Melchinger A, Bauer E, Schoen CC, Meyer N, Giauffret C, Bauland C, Jamin P, et al. 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.). Genetics. 192: 715-28. PMID 22865733 DOI: 10.1534/Genetics.112.141473 |
0.591 |
|
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