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Le modèle linéaire et ses extensions - Modèle linéaire général, modèle linéaire généralisé, modèle mixte, plans d'expériences. Daudin J.J., coord. (2015). Editions Ellipse, Paris.

Pour comprendre l'amélioration des plantes. Enjeux, méthodes, objectifs et critères de sélection. Gallais, A. (2015) Editions Quæ.

De la domestication à la transgénèse, évolution des outils pour l’amélioration des plantes. Gallais, A. (2013) Editions Quæ.

Méthodes de création de variétés en amélioration des plantes. Gallais, A. (2011). Editions Quæ, Versailles.

Hétérosis et variétés hybrides en amélioration des plantes. Gallais, A. (2009). Editions Quæ, Versailles.


Chapitres d'ouvrages

Le modèle linéaire et ses extensions - Modèle linéaire général, modèle linéaire généralisé, modèle mixte, plans d'expériences (2015). Daudin J.-J. et al. (coll. Mary-Huard, T.). Ellipses. France. En libre accès.

♦ Crop Breeding (2014) - Methods Mol Biol 1145, Fleury, D. & Whitford, R., Dir. Humana Press Inc.

  • Valente, F., Gauthier, F., Bardol, N., Blanc, G., Joets, J., Charcosset, A., Moreau, L. OptiMAS: A Decision Support Tool to Conduct Marker-Assisted Selection Programs. p. 97-116.

♦ Biotechnologies Végétales. Environnement, alimentation, santé (2011)Ricroch, A., Dattée, Y. and Fellous, M. (Ed.). Vuibert - AFBV, France.

  • Charcosset, A. and Moreau, L. Cartographie de QTL, génétique d’association et application en sélection. p. 112- 125.
  • Gallais, A. L'amélioration des plantes : de la domestication à la transgénèse. p. 8-16.

Advances in Maize. Essential Reviews in Experimental Biology Series (2011). Prioul, J. L., Thévenot, C. and Molnar, T. Burrel, M. (Ed.). The Society for Experimental Biology, London, UK.

  • Fiévet, J. B., Gallais, A. and de Vienne, D. Heterosis, inbreeding depression and hybrid varieties. p. 67-87
  • Hirel, B. and Gallais, A. Nitrogen use efficiency – Physiological, molecular and genetic investigations towards crop improvement. p. 285-310.
  • Manicacci, D., Moreau, L. and Charcosset, A. QTL cartography, meta-analysis and association genetics. p. 37-66.
  • Moreau, L. and Charcosset, A. Marker-assisted selection in maize. p. 411-434.


Articles scientifiques



  • Darracq A.*, Vitte C.*, Nicolas S., Duarte J., Pichon J. P., Mary-Huard T., Chevalier C., Berard A., Le Paslier M. C., Rogowsky P., Charcosset A., Joets J. (2018) Sequence analysis of European maize inbred line F2 provides new insights into molecular and chromosomal characteristics of presence/absence variants. BMC Genomics, 19 (1) 119.  * Equal contributors


  • Baldy A., Jacquemot M.-P., Griveau Y., Bauland C., Reymond M., Mechin V. (2017) Energy Values of Registered Corn Forage Hybrids in France over the Last 20 Years Rose in a Context of Maintained Yield Increase. Am J Plant Science, 8 (9) 1449-1461.
  • Bedoya C. A., Dreisigacker S., Hearne S., Franco J., Mir C., Prasanna B. M., Taba S., Charcosset A., Warburton M. L. (2017) Genetic diversity and population structure of native maize populations in Latin America and the Caribbean. PLoS One, 12 (4) e0173488.
  • Brandenburg J. T., Mary-Huard T., Rigaill G., Hearne S. J., Corti H., Joets J., Vitte C., Charcosset A., Nicolas S. D., Tenaillon M. I. (2017) Independent introductions and admixtures have contributed to adaptation of European maize and its American counterparts. PLoS Genet, 13 (3) e1006666.
  • Brault V., Delattre M., Lebarbier E., Levy-Leduc C., Mary-Huard T. (2017) Estimating the Number of Block Boundaries from Diagonal Blockwise Matrices Without Penalization. Scand J Statistics, 44 (2) 563-580.
  • Bouchet S., Bertin P., Presterl T., Jamin P., Coubriche D., Gouesnard B., Laborde J., Charcosset A. (2017) Association mapping for phenology and plant architecture in maize shows higher power for developmental traits compared with growth influenced traits. Heredity (Edinb), 118 (3) 249-259.
  • Canas R. A., Yesbergenova-Cuny Z., Simons M., Chardon F., Armengaud P., Quillere I., Cukier C., Gibon Y., Limami A. M., Nicolas S., Brule L., Lea P. J., Maranas C. D., Hirel B. (2017) Exploiting the Genetic Diversity of Maize Using a Combined Metabolomic, Enzyme Activity Profiling, and Metabolic Modeling Approach to Link Leaf Physiology to Kernel Yield. Plant Cell, 29 (5) 919-943.
  • Chiquet J., Mary-Huard T., Rogbin S. (2017) Structured regularization for conditional Gaussian graphical models. Stat Comput, 27 (3) 789-804.
  • Delatola E. I., Lebarbier E., Mary-Huard T., Radvanyi F., Robin S., Wong J. (2017) SegCorr a statistical procedure for the detection of genomic regions of correlated expression. BMC Bioinformatics, 18 (1) 333.
  • Giraud H., Bauland C., Falque M., Madur D., Combes V., Jamin P., Monteil C., Laborde J., Palaffre C., Gaillard A., Blanchard P., Charcosset A., Moreau L. (2017) Reciprocal Genetics: Identifying QTLs for General and Specific Combining Abilities in Hybrids Between Multiparental Populations from Two Maize (Zea mays L.) Heterotic Groups. Genetics,207 (3) 1167-1180.
  • Giraud H., Bauland C., Falque M., Madur D., Combes V., Jamin P., Monteil C., Laborde J., Palaffre C., Gaillard A., Blanchard P., Charcosset A., Moreau L. (2017) Linkage Analysis and Association Mapping QTL Detection Models for Hybrids Between Multiparental Populations from Two Heterotic Groups: Application to Biomass Production in Maize (Zea mays L.). G3 (Bethesda), 7 (11) 3649-3657.
  • Gouesnard B., Negro S., Laffray A., Glaubitz J., Melchinger A., Revilla P., Moreno-Gonzalez J., Madur D., Combes V., Tollon-Cordet C., Laborde J., Kermarrec D., Bauland C., Moreau L., Charcosset A., Nicolas S. (2017) Genotyping-by-sequencing highlights original diversity patterns within a European collection of 1191 maize flint lines, as compared to the maize USDA genebank. Theor Appl Genet, 130 (10) 2165-2189.
  • Laporte F., Charcosset A., Mary-Huard T. (2017) Estimation of the relatedness coefficients from biallelic markers, application in plant mating designs. Biometrics, 73 (3) 885-894.
  • Lariepe A., Moreau L., Laborde J., Bauland C., Mezmouk S., Decousset L., Mary-Huard T., Fievet J. B., Gallais A., Dubreuil P., Charcosset A. (2017) General and specific combining abilities in a maize (Zea mays L.) test-cross hybrid panel: relative importance of population structure and genetic divergence between parents. Theor Appl Genet, 130 (2) 403-417.
  • Rincent R., Charcosset A., Moreau L. (2017) Predicting genomic selection efficiency to optimize calibration set and to assess prediction accuracy in highly structured populations. Theor Appl Genet, 130 (11) 2231-2247.


  • Charcosset A., Adel-Patient K., Dupont C., Bernard H. (2016) Assessment of IgE and IgG4 Binding Capacities of Cow's Milk Proteins Selectively Altered by Proteases. J Agric Food Chem, 64 (17) 3394-404.
  • Desclee de Maredsous C., Oozeer R., Barbillon P., Mary-Huard T., Delteil C., Blachier F., Tome D., van der Beek E. M., Davila A. M. (2016) High-Protein Exposure during Gestation or Lactation or after Weaning Has a Period-Specific Signature on Rat Pup Weight, Adiposity, Food Intake, and Glucose Homeostasis up to 6 Weeks of Age. J Nutr, 146 (1) 21-9.
  • Fernandez O., Urrutia M., Bernillon S., Giauffret C., Tardieu F., Le Gouis J., Langlade N., Charcosset A., Moing A., Gibon Y. (2016) Fortune telling: metabolic markers of plant performance. Metabolomics, 12 (10) 158.
  • Friggens N. C., Duvaux-Ponter C., Etienne M. P., Mary-Huard T., Schmidely P. (2016) Characterizing individual differences in animal responses to a nutritional challenge: Toward improved robustness measures. J Dairy Sci, 99 (4) 2704-18.
  • Millet E., Welcker C., Kruijer W., Negro S., Nicolas S., Coupel-Ledru A., Bauland C., Praud S., Ranc N., Presterl T., Tuberosa R., Bedo Z., Draye X., Usadel B., Charcosset A., van Eeuwijk F., Tardieu F. (2016) Genome-wide analysis of yield in Europe: allelic effects as functions of drought and heat scenarios. Plant Physiol, 172 749-764.
  • Nicolas S. D., Péros J.-P., Lacombe T., Launay A., Le Paslier M.-C., Bérard A., Mangin B., Valière S., Martins F., Le Cunff L., Laucou V., Bacilieri R., Dereeper A., Chatelet P., This P., Doligez A. (2016) Genetic diversity, linkage disequilibrium and power of a large grapevine (Vitis vinifera L) panel newly designed for association studies. BMC Plant Biol, 16 (1) 1-19.
  • Revilla P., Rodriguez V. M., Ordas A., Rincent R., Charcosset A., Giauffret C., Melchinger A. E., Schon C. C., Bauer E., Altmann T., Brunel D., Moreno-Gonzalez J., Campo L., Ouzunova M., Alvarez A., Ruiz de Galarreta J. I., Laborde J., Malvar R. A. (2016) Association mapping for cold tolerance in two large maize inbred panels. BMC Plant Biol, 16 (1) 127.
  • Roux F., Mary-Huard T., Barillot E., Wenes E., Botran L., Durand S., Villoutreix R., Martin-Magniette M. L., Camilleri C., Budar F. (2016) Cytonuclear interactions affect adaptive traits of the annual plant Arabidopsis thaliana in the field. Proc Natl Acad Sci U S A, 113 (13) 3687-92.
  • Tenaillon, M. I., Manicacci, D., Nicolas, S. D., Tardieu, F., Welcker, C. (2016) Testing the link between genome size and growth rate in maize. PeerJ, 4, e2408.


  • Zaag R., Tamby J. P., Guichard C., Tariq Z., Rigaill G., Delannoy E., Renou J. P., Balzergue S., Mary-Huard T., Aubourg S., Martin-Magniette M. L., Brunaud V. (2015) GEM2Net: from gene expression modeling to -omics networks, a new CATdb module to investigate Arabidopsis thaliana genes involved in stress response. Nucleic Acids Res, 43 (Database issue) D1010-7.
  • Rousselle Y., Jones E., Charcosset A., Moreau P., Robbins K., Stich B., Knaak C., Flament P., Karaman Z., Martinant J. P., Fourneau M., Taillardat A., Romestant M., Tabel C., Bertran J., Ranc N., Lespinasse D., Blanchard P., Kahler A., Chen J. L., Kahler J., Dobrin S., Warner T., Ferris R., Smith S. (2015) Study on Essential Derivation in Maize: III. Selection and Evaluation of a Panel of Single Nucleotide Polymorphism Loci for Use in European and North American Germplasm. Crop Science, 55 (3) 1170-1180.


  • Lehermeier C., Kramer N., Bauer E., Bauland C., Camisan C., Campo L., Flament P., Melchinger A. E., Menz M., Meyer N., Moreau L., Moreno-Gonzalez J., Ouzunova M., Pausch H., Ranc N., Schipprack W., Schonleben M., Walter H., Charcosset A., Schon C. C. (2014) Usefulness of multiparental populations of maize (Zea mays L.) for genome-based prediction. Genetics, 198 (1) 3-16.
  • Leroux D., Rahmani A., Jasson S., Ventelon M., Louis F., Moreau L., Mangin B. (2014) Clusthaplo: a plug-in for MCQTL to enhance QTL detection using ancestral alleles in multi-cross design. Theor Appl Genet, 127 (4) 921-33.
  • Revilla P., Rodriguez V. M., Ordas A., Rincent R., Charcosset A., Giauffret C., Melchinger A. E., Schon C. C., Bauer E., Altmann T., Brunel D., Moreno-Gonzalez J., Campo L., Ouzunova M., Laborde J., Alvarez A., de Galarreta J. I. R., Malvar R. A. (2014) Cold Tolerance in Two Large Maize Inbred Panels Adapted to European Climates. Crop Sci, 54 (5) 1981-1991.
  • Rincent R., Moreau L., Monod H., Kuhn E., Melchinger A. E., Malvar R. A., Moreno-Gonzalez J., Nicolas S., Madur D., Combes V., Dumas F., Altmann T., Brunel D., Ouzunova M., Flament P., Dubreuil P., Charcosset A., Mary-Huard T. (2014) Recovering power in association mapping panels with variable levels of linkage disequilibrium. Genetics, 197 (1) 375-87.
  • Rincent R., Nicolas S., Bouchet S., Altmann T., Brunel D., Revilla P., Malvar R. A., Moreno-Gonzalez J., Campo L., Melchinger A. E., Schipprack W., Bauer E., Schoen C. C., Meyer N., Ouzunova M., Dubreuil P., Giauffret C., Madur D., Combes V., Dumas F., Bauland C., Jamin P., Laborde J., Flament P., Moreau L., Charcosset A. (2014) Dent and Flint maize diversity panels reveal important genetic potential for increasing biomass production. Theor Appl Genet, 127 (11) 2313-31.
  • Valente F., Gauthier F., Bardol N., Blanc G., Joets J., Charcosset A., Moreau L. (2014) OptiMAS: A Decision Support Tool to Conduct Marker-Assisted Selection Programs. Methods Mol Biol, 1145 97-116.


  • Bardol N., Ventelon M., Mangin B., Jasson S., Loywick V., Couton F., Derue C., Blanchard P., Charcosset A., Moreau L (2013) Combined linkage and linkage disequilibrium QTL mapping in multiple families of maize (Zea mays L.) line crosses highlights complementatities between models based on parental haplotype and single locus polymorphism. Theor Appl Genet, 126:2717-2736.
  • Bauer E., Falque M., Walter H., Bauland C., Camisan C., Campo L., Meyer N., Ranc N., Rincent R.,  Schipprack W., Wimmer V., Altmann T., Flament P., Melchinger A.E., Menz M., Moreno-González J., Ouzunova M., Revilla P., Charcosset A., Martin O.C., Schön C.-C. (2013) Intraspecific variation of recombination rate in maize. Genome Biology 14:R103.
  • Bérard C., Seifert M., Mary-Huard T., Martin-Magniette M. (2013) MultiChIPmixHMM: an R package for ChIP-chip data analysis modeling spatial dependencies and multiple replicates. BMC Bioinformatics, 14 (1) 271.
  • Bouchet, S., Larièpe, A., Servin, B., Bertin, P., Madur, D., Combes, V., Dumas, F., Moreau, L., Laborde, J., Charcosset,A. and Nicolas, S. D. (2013) Adaptation of maize to temperate climates: mid-density genome-wide association genetics and diversity patterns reveal key genomic regions, with a major contribution of the Vgt2 (ZCN8) locus. Plos One8(8):e71377
  • Mir C., Zerjal T., Combes V., Dumas F., Madur D., Bedoya C., Dreisigacker S., Franco J., Grudloyma P., Hao P.X., Hearne S., Jampatong C., Laloë D., Muthamia Z., Nguyen T., Prasanna B.M., Taba S., Xie C.X., Yunus M., Zhang S., Warburton M. L., Charcosset A. (2013) Out of America: tracing the genetic footprints of the global diffusion of maize. Theor Appl Genet, 126: 2671-2682
  • Valente, F., Gauthier, F., Bardol, N., Blanc, G., Joets, J., Charcosset, A. and Moreau, L. (2013) OptiMAS: A Decision Support Tool for Marker-Assisted Assembly of Diverse Alleles. J Hered, 104 (4) 586-90.



  • Cañas, R. A., Quilleré, I., Gallais, A. , Hirel, B. (2012) Can genetic variability for nitrogen metabolism in the developing ear of maize be exploited to improve yield? New Phytol, 194 440–452.
  • Durand, E., Bouchet, S., Bertin, P., Ressayre, A., Jamin, P., Charcosset, A., Dillmann, C., Tenaillon, M. I. (2012) Flowering time in maize: Linkage and epistasis at a major effect locus. Genetics, 190 1547–1562.
  • Larièpe, A., Mangin, B., Jasson, S., Combes, V., Dumas, F., Jamin, P., Lariagon, C., Jolivot, D., Madur, D., Fiévet, J., Gallais, A., Dubreuil, P., Charcosset, A., Moreau, L. (2012) The genetic basis of heterosis: Multiparental quantitative trait loci mapping reveals contrasted levels of apparent overdominance among traits of agronomical interest in maize (Zea mays L.). Genetics, 190 795–811.
  • Rincent, R., Laloë, D., Nicolas, S., Altmann, T., Brunel, D., Revilla, P., Rodríguez, V. M., Moreno-Gonzalez, J., Melchinger, A., Bauer, E., Schoen, C.-C., Meyer, N., Giauffret, C., Bauland, C., Jamin, P., Laborde, J., Monod, H., Flament, P., Charcosset, A. , Moreau, L. (2012) 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, 192 715–728.
  • Sosnowski, O., Charcosset, A. , Joets, J. (2012) BioMercator V3: An upgrade of genetic map compilation and quantitative trait loci meta-analysis algorithms. Bioinformatics, 28 2082–2083.
  • Truntzler, M., Ranc, N., Sawkins, M. C., Nicolas, S., Manicacci, D., Lespinasse, D., Ribière, V., Galaup, P., Servant, F., Muller, C., Madur, D., Betran, J., Charcosset, A. , Moreau, L. (2012) Diversity and linkage disequilibrium features in a composite public/private dent maize panel: Consequences for association genetics as evaluated from a case study using flowering time. Theor Appl Genet, 125 731–747.
  • Zerjal, T., Rousselet, A., Mhiri, C., Combes, V., Madur, D., Grandbastien, M.-A., Charcosset, A., Tenaillon, M. I. (2012) Maize genetic diversity and association mapping using transposable element insertion polymorphisms. Theor Appl Genet, 124(8):1521-37.



  • Ganal, M. W., Durstewitz, G., Polley, A., Berard, A., Buckler, E. S., Charcosset, A., Clarke, J. D., Graner, E. M., Hansen, M., Joets, J., Le Paslier, M. C., McMullen, M. D., Montalent, P., Rose, M., Schon, C. C., Sun, Q., Walter, H., Martin, O. C. and Falque, M. (2011) A large maize (Zea mays L.) SNP genotyping array: development and germplasm genotyping, and genetic mapping to compare with the B73 reference genome. PLoS One, 6 (12) e28334.
  • Mezmouk, S., Dubreuil, P., Bosio, M., Decousset, L., Charcosset, A., Praud, S. and Mangin, B. (2011) Effect of population structure corrections on the results of association mapping tests in complex maize diversity panels. Theor Appl Genet, 122 (6) 1149-60.
  • Tenaillon, M. I. and Charcosset, A. (2011) A European perspective on maize history. C R Biol, 334 (3) 221-8.
  • Warburton, M., Wilkes, G., Taba, S., Charcosset, A., Mir, C., Dumas, F., Madur, D., Dreisigacker, S., Bedoya, C., Prasanna, B., Xie, C., Hearne, S. and Franco, J. (2011) Gene flow among different teosinte taxa and into the domesticated maize gene pool. Genet Resour Crop Ev, 57 (8) 1243-1261.
  • Welcker, C., Sadok, W., Dignat, G., Renault, M., Salvi, S., Charcosset, A. and Tardieu, F. (2011) A common genetic determinism for sensitivities to soil water deficit and evaporative demand: meta-analysis of quantitative trait loci and introgression lines of maize. Plant Physiol, 157 (2) 718-29.



  • Capelle, V., Remoue, C., Moreau, L., Reyss, A., Mahe, A., Massonneau, A., Falque, M., Charcosset, A., Thevenot, C., Rogowsky, P., Coursol, S., Prioul, J.-L. (2010) QTLs and candidate genes for desiccation and abscisic acid content in maize kernels. BMC Plant Biol, 10: 2-22.
  • Cassan, L., Moreau, L., Segouin, S., Bellamy, A., Falque, M.,Limami, A. M. (2010) Genetic map construction and quantitative trait loci (QTL) mapping for nitrogen use efficiency and its relationship with productivity and quality of the biennial crop Belgian endive (Cichorium intybus L.). J Plant Physiol, 167: 1253–1263 .
  • Durand, E., Tenaillon, M. I., Ridel, C., Coubriche, D., Jamin, P., Jouanne, S., Ressayre, A., Charcosset, A., Dillmann, C. (2010) Standing variation and new mutations both contribute to a fast response to selection for flowering time in maize inbreds. BMC Evol Biol, 10: 2-21.
  • Fiévet, J. B., Dillmann, C., de Vienne, D. (2010). Systemic properties of metabolic networks lead to an epistasis-based model for heterosis. Theor Appl Genet, 120: 463–473.
  • Huang, Y.-F., Madur, D., Combes, V., Ky, C. L., Coubriche, D., Jamin, P., Jouanne, S., Dumas, F., Bouty, E., Bertin, P., Charcosset, A.,Moreau, L. (2010) The genetic architecture of grain yield and related traits in Zea maize L. revealed by comparing intermated and conventional populations. Genetics, 186: 395–404.
  • Truntzler, M., Barrière, Y., Sawkins, M. C., Lespinasse, D., Betran, J., Charcosset, A.,Moreau, L. (2010) Meta-analysis of QTL involved in silage quality of maize and comparison with the position of candidate genes. Theor Appl Genet, 121: 1465-1482.


  • Ducrocq, S., Giauffret, C., Madur, D., Combes, V., Dumas, F., Jouanne, S., Coubriche, D., Jamin, P., Moreau, L.,Charcosset, A. (2009) Fine mapping and haplotype structure analysis of a major flowering time quantitative trait locus on maize chromosome 10. Genetics, 183: 1555–1563.
  • Gallais, A. (2009) Full-Sib Reciprocal Recurrent Selection with the Use of Doubled Haploids. Crop Science, 49: 150–152.
  • Jannink, J.-L., Moreau, L., Charmet, G.,Charcosset, A. (2009) Overview of QTL detection in plants and tests for synergistic epistatic interactions. Genetica, 136: 225–236.
  • Manicacci, D., Camus-Kulandaivelu, L., Fourmann, M., Arar, C., Barrault, S., Rousselet, A., Feminias, N., Consoli, L., Francès, L., Méchin, V., Murigneux, A., Prioul, J.-L., Charcosset, A., Damerval, C. (2009) Epistatic Interactions between Opaque2 Transcriptional Activator and Its Target Gene CyPPDK1 Control Kernel Trait Variation in Maize. Plant Physiol, 150: 506–520.


  • Blanc,G. Charcosset,A. Veyrieras,J B. Gallais,A. Moreau,L. 2008. Marker-assisted selection efficiency in multiple connected populations: a simulation study based on the results of a QTL detection experiment in maize Euphytica 161 : 71-84.
  • Camus-Kulandaivelu,L. Chevin,L M. Tollon-Cordet,C. Charcosset,A. Manicacci,D. Tenaillon,M I. 2008. Patterns of molecular evolution associated with two selective sweeps in the Tb1-Dwarf8 region in maize. Genetics 180 : 1107-1121.
  • Coque,M. Martin,A. Veyrieras,J B. Hirel,B. Gallais,A. 2008. Genetic variation for N-remobilization and postsilking N-uptake in a set of maize recombinant inbred lines. 3. QTL detection and coincidences. Theor Appl Genet 117(5) : 729-747.
  • Ducrocq,S. Madur,D. Veyrieras,J B. Camus-Kulandaivelu,L. Kloiber-Maitz,M. Presterl,T. Ouzunova,M. Manicacci,D. Charcosset,A. 2008. Key impact of Vgt1 on flowering time adaptation in maize: evidence from association mapping and ecogeographical information. Genetics 178 : 2433-2437.
  • Gallais,A. Carle,J. Simplot-Ryl,D. Stojmenovic,I. 2008. Localized sensor area coverage with low communication overhead Ieee Transactions On Mobile Computing 7 : 661-672.


  • Camus-Kulandaivelu, L., J.B. Veyrieras, B. Gouesnard, A. Charcosset, and D. Manicacci. 2007. Evaluating the reliability of STRUCTURE outputs in case of relatedness between individuals. Crop Sci 47 : 885-890.
  • Gallais, A.,Bordes, J. (2007) The use of doubled haploids in recurrent selection and hybrid development in maize. Crop Science, 47 S190–S201.
  • Gallais, A., Coque, M., Le Gouis, J., Prioul, J.-L., Hirel, B.,Quillere, I. (2007) Estimating the proportion of nitrogen remobilization and of postsilking nitrogen uptake allocated to maize kernels by nitrogen-15 labeling. Crop Science, 47: 685–693.
  • Gallais A., Moreau L., Charcosset A. (2007) Detection of marker-QTL associations by studying change in marker frequencies with selective genotyping. Theor Appl Genet, 114 (4): 669-681
  • Hirel, B., Gouis, J. L., Ney, B.,Gallais, A. (2007) The challenge of improving nitrogen use efficiency in crop plants: Towards a more central role for genetic variability and quantitative genetics within integrated approaches. J Exp Bot, 58: 2369–2387.
  • Veyrieras, J.B., Goffinet B., and Charcosset A. (2007) MetaQTL: a package of new computational methods for the meta-analysis of QTL mapping experiments. BMC Bioinformatics 8(1):49.
  • Veyrieras, J.-B., Camus-Kulandaivelu, L., Gouesnard, B., Manicacci, D.,Charcosset, A. (2007) Bridging genomics and genetic diversity: Linkage disequilibrium structure and association mapping in maize and other cereals. Crop Science, 47: S60–S71.


  • Bernardo R., Charcosset A. (2006) Usefulness of Gene Information in Marker-Assisted Recurrent Selection: A Simulation Appraisal. Crop Science 46:614-621
  • Bernardo, R., L. Moreau, and A. Charcosset. (2006) Number and Fitness of Selected Individuals in Marker-Assisted and Phenotypic Recurrent Selection. Crop Sci 46:1972-1980.
  • Blanc, G., Charcosset A., Mangin B., Gallais A., Moreau L. (2006) Connected populations for detecting quantitative trait loci and testing for epistasis: an application in maize. Theoretical and Applied Genetics 113:206-224.
  • Bordes, J., Charmet, G., Dumas de Vaulx, R., Pollacsek, M., Beckert, M., Gallais, A. (2006). Doubled haploid versus S1 family recurrent selection for testcross performance in a maize population. Theor. Appl. Genet. 112: 1063-1072.
  • Camus-kulandaivelu, L., Veyrieras, J.-B., Madur, D., Combes, L., Fourmann, M., Barraud, S., Dubreuil, P., Gouesnard, B., Manicacci, D., Charcosset, A. (2006). Maize Adaptation to Temperate Climate: Relationship Between Population Structure and Polymorphism in the Dwarf8 Gene. Genetics, 172: 2449-2463.
  • Coque, M., Bertin, P., Hirel, B., Gallais, A. (2006). Genetic variation and QTLs for 15N natural abundance in a set of maize recombinant inbred lines. Field crops Res. 97: 310-321.
  • Coque, M., Gallais, A. (2006). Genomic regions involved in response to grain yield selection at high and low nitrogen fertilization in maize. Theor. Appl. Genet. 112, 1205-1220.
  • Diaz, U., Saliba-Colombani, V., Loudet, O., Belluomo, P., Moreau, L., Daniel-Vedele, F., Morot-Gaudry, J. F.,Maselaux-Daubresse, U. (2006) Leaf yellowing and anthocyanin accumulation are two genetically independent strategies in response to nitrogen limitation in Arabidopsis thaliana. Plant And Cell Physiology, 47 74–83.
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