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24, chemin de Borde Rouge –Auzeville – CS52627
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Dernière mise à jour : Mai 2018

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Barillot R, De Swaef T, Combes D, Durand J-L, Escobar-Gutierrez AJ, Martre P, Perrot C, Roy E, Frak E (2021) Leaf elongation response to blue light is mediated by stomatal-induced variations in plant transpiration in Festuca arundinacea. Journal of Experimental Botany 72: 2642-2656. doi:10.1093/jxb/eraa585.

Eyland D, Breton C, Sardos J, Kallow S, Panis B, Swennen R, Paofa J, Tardieu F, Welcker C, Janssens SB, Carpentier SC (2021) Filling the gaps in gene banks: Collecting, characterizing, and phenotyping wild banana relatives of Papua New Guinea. Crop Science 61: 137-149. doi:10.1002/csc2.20320.

Fagny M, Kuijjer ML, Stam M, Joets J, Turc O, Rozière J, Pateyron S, Venon A, Vitte C (2021) Identification of Key Tissue-Specific, Biological Processes by Integrating Enhancer Information in Maize Gene Regulatory Networks. Frontiers in Genetics 11: 606285. doi:10.3389/fgene.2020.606285.

Guiguitant J, Marrou H, Vile D, Sinclair T, Pradhan D, Ramirez M, Ghanem ME (2021) An exploration of the variability of physiological responses to soil drying in relation with C/N balance across three species of the under‐utilized genus Vigna. Physiologia Plantarum 172: 477-486. doi:10.1111/ppl.13224.

Guiguitant J, Vile D, Marrou H (2021) Trait Diversity of Pulse Species Predicts Agroecosystem Properties Trade-Offs. Frontiers in Plant Science 12: 636915. doi:10.3389/fpls.2021.636915.

Heidsieck G, de Oliveira D, Pacitti E, Pradal C, Tardieu F, Valduriez P (2021) Cache-aware scheduling of scientific workflows in a multisite cloud. Future Generation Computer Systems-the International Journal of Escience 122: 172-186. doi:10.1016/j.future.2021.03.012.

Hilty J, Muller B, Florent P, Leuzinger S (2021) Plant growth: the What, the How, and the Why. New Phytologist (in press). doi:10.1111/nph.17610.

Knowling MJ, Bennett B, Ostendorf B, Westra S, Walker RR, Pellegrino A, Edwards EJ, Collins C, Pagay V, Grigg D (2021) Bridging the gap between data and decisions: A review of process-based models for viticulture. Agricultural Systems 193: 103209. doi:10.1016/j.agsy.2021.103209.

Liu S, Baret F, Abichou M, Manceau L, Andrieu B, Weiss M, Martre P (2021) Importance of the description of light interception in crop growth models. Plant Physiology 186: 977-997. doi:10.1093/plphys/kiab113.

Midingoyi CA, Pradal C, Enders A, Fumagalli D, Raynal H, Donatelli M, Athanasiadis IN, Porter C, Hoogenboom G, Holzworth D, Garcia F, Thorburn P, Martre P (2021) Crop2ML: An open-source multi-language modeling framework for the exchange and reuse of crop model components. Environmental Modelling & Software 142: 105055. doi:

Tardieu F (2021) Different avenues for progress apply to drought tolerance, water use efficiency and yield in dry areas. Current opinion in biotechnology 73: 128-134. doi:10.1016/j.copbio.2021.07.019.

Tardieu F, Granato ISC, Van Oosterom EJ, Parent B, Hammer GL (2021) Are crop and detailed physiological models equally ‘mechanistic’ for predicting the genetic variability of whole-plant behaviour? The nexus between mechanisms and adaptive strategies. in silico Plants 2: diaa011. doi:10.1093/insilicoplants/diaa011.

Torregrosa L, Carbonneau A, Kelner J-J (2021) The shoot system architecture of Vitis vinifera ssp. sativa. Scientia Horticulturae 288: 110404. doi:10.1016/j.scienta.2021.110404.

Varshney RK, Barmukh R, Roorkiwal M, Qi Y, Kholova J, Tuberosa R, Reynolds MP, Tardieu F, Siddique KHM (2021) Breeding custom-designed crops for improved drought adaptation. Advanced Genetics (in press): e10052. doi:10.1002/ggn2.10052.


Bergès SE, Vasseur F, Bediée A, Rolland G, Masclef D, Dauzat M, van Munster M, Vile D (2020) Natural variation of Arabidopsis thaliana responses to Cauliflower mosaic virus infection upon water deficit. PLOS Pathogens 16: e1008557. doi:10.1371/journal.ppat.1008557.

Blein-Nicolas M, Negro SS, Balliau T, Welcker C, Cabrera-Bosquet L, Nicolas SD, Charcosset A, Zivy M (2020) A systems genetics approach reveals environment-dependent associations between SNPs, protein coexpression, and drought-related traits in maize. Genome Research 30: 1593-1604. doi:10.1101/gr.255224.119.

Bonnot T, Martre P, Hatte V, Dardevet M, Leroy P, Benard C, Falagan N, Martin-Magniette ML, Deborde C, Moing A, Gibon Y, Pailloux M, Bancel E, Ravel C (2020) Omics Data Reveal Putative Regulators of Einkorn Grain Protein Composition under Sulfur Deficiency. Plant Physiology 183: 501-516. doi:10.1104/pp.19.00842.

Carbonneau A, Torregrosa L, Deloire A, Pellegrino A, Pantin F, Romieu C, Jaillard B, Metay A, Ojeda H, Abbal P (2020) Traité de la vigne : physiologie, terroir, culture. Dunod, Paris, France, 712 p. ISBN:9782100798575.

Castelletti S, Coupel-Ledru A, Granato I, Palaffre C, Cabrera-Bosquet L, Tonelli C, Nicolas SD, Tardieu F, Welcker C, Conti L (2020) Maize adaptation across temperate climates was obtained via expression of two florigen genes. Plos Genetics 16: e1008882. doi:10.1371/journal.pgen.1008882.

Ding L, Milhiet T, Couvreur V, Nelissen H, Meziane A, Parent B, Aesaert S, Van Lijsebettens M, Inzé D, Tardieu F, Draye X, Chaumont F (2020) Modification of the expression of the aquaporin ZmPIP2;5 affects water relations and plant growth. Plant Physiology 182: 2154-2165. doi:10.1104/pp.19.01183.

Dingkuhn M, Luquet D, Fabre D, Muller B, Yin X, Paul MJ (2020) The case for improving crop carbon sink strength or plasticity for a CO2-rich future. Current Opinion in Plant Biology 56: 259-272. doi:10.1016/j.pbi.2020.05.012.

Gauthier M, Barillot R, Schneider A, Chambon C, Fournier C, Pradal C, Robert C, Andrieu B (2020) A functional structural model of grass development based on metabolic regulations and coordination rules. Journal of Experimental Botany 71: 5454-5468. doi:10.1093/jxb/eraa276.

Guarin JR, Asseng S, Martre P, Bliznyuk N (2020) Testing a crop model with extreme low yields from historical district records. Field Crops Research 249: 107629. doi:10.1016/j.fcr.2018.03.006.

Guiguitant J, Vile D, Ghanem ME, Wery J, Marrou H (2020) Evaluation of pulse crops’ functional diversity supporting food production. Scientific reports 10: 3416. doi:10.1038/s41598-020-60166-4.

Hanemian M, Vasseur F, Marchadier E, Gilbault E, Bresson J, Gy I, Violle C, Loudet O (2020) Natural variation at FLM splicing has pleiotropic effects modulating ecological strategies in Arabidopsis thaliana. Nature Communications 11: 4140. doi:10.1038/s41467-020-17896-w.

Lacube S, Manceau L, Welcker C, Millet E, Gouesnard B, Palaffre C, Ribaut JM, Hammer G, Parent B, Tardieu F (2020) Simulating the effect of flowering time on maize individual leaf area in contrasting environmental scenarios. Journal of Experimental Botany 71: 5577-5588. doi:10.1093/jxb/eraa278.

Mahaut L, Cheptou P-O, Fried G, Munoz F, Storkey J, Vasseur F, Violle C, Bretagnolle F (2020) Weeds: Against the Rules? Trends in Plant Science 25: 1107-1116. doi:10.1016/j.tplants.2020.05.013.

Midingoyi CA, Pradal C, Athanasiadis I, N., Donatelli M, Enders A, Fumagalli D, Garcia F, Holzworth D, Hoogenboom G, Porter C, Raynal H, Thorburn P, Martre P, Martres (2020) Reuse of process-based models: automatic transformation into many programming languages and simulation platforms. In Silico Plants 2:diaa007. doi:10.1093/insilicoplants/diaa007.

Nagahatenna DSK, Parent B, Edwards EJ, Langridge P, Whitford R (2020) Barley Plants Overexpressing Ferrochelatases (HvFC1 and HvFC2) Show Improved Photosynthetic Rates and Have Reduced Photo-Oxidative Damage under Drought Stress than Non-Transgenic Controls. Agronomy 10: 1351. doi:10.3390/agronomy10091351.

Padovan G, Martre P, Semenov M, Masoni A, Bregaglio S, Ventrella D, Lorite I, Santos C, Bindi M, Ferrise R, Dibari C (2020) Understanding effects of genotype × environment × sowing window interactions for durum wheat in the Mediterranean basin. Field Crops Research 259: 107969. doi:10.1016/j.fcr.2020.107969.

Papoutsoglou EA, Faria D, Arend D, Arnaud E, Athanasiadis IN, Chaves I, Coppens F, Cornut G, Costa BV, Cwiek-Kupczynska H, Droesbeke B, Finkers R, Gruden K, Junker A, King GJ, Krajewski P, Lange M, Laporte M-A, Michotey C, Oppermann M, Ostler R, Poorter H, Rami Rez-Gonzalez R, Ramsak Z, Reif JC, Rocca-Serra P, Sansone S-A, Scholz U, Tardieu F, Uauy C, Usadel B, Visser RGF, Weise S, Kersey PJ, Miguel CM, Adam-Blondon A-F, Pommier C (2020) Enabling reusability of plant phenomic datasets with MIAPPE 1.1. New Phytologist 227: 260-273. doi:10.1111/nph.16544.

Prieto JA, Louarn G, Perez Pena J, Ojeda H, Simonneau T, Lebon E (2020) A Functional-Structural Plant Model that Simulates Whole- Canopy Gas-Exchange of Grapevine Plants (Vitis Vinifera L.) Under Different Training Systems. Annals of Botany 126: 647-660. doi:10.1093/aob/mcz203.

Rolland G (2020) Choix d’une méthode d’extraction et de purification pour le dosage des sucres solubles et de l’amidon dans les tissus ligneux de la vigne. Le Cahier des Techniques INRAE 100: Art3.

Spor A, Roucou A, Mounier A, Bru D, Breuil M-C, Fort F, Vile D, Roumet P, Philippot L, Violle C (2020) Domestication-driven changes in plant traits associated with changes in the assembly of the rhizosphere microbiota in tetraploid wheat. Scientific reports 10: 12234. doi:10.1038/s41598-020-69175-9.

Tao F, Palosuo T, Rötter RP, Díaz-Ambrona CGH, Inés Mínguez M, Semenov MA, Kersebaum KC, Cammarano D, Specka X, Nendel C, Srivastava AK, Ewert F, Padovan G, Ferrise R, Martre P, Rodríguez L, Ruiz-Ramos M, Gaiser T, Höhn JG, Salo T, Dibari C, Schulman AH (2020) Why do crop models diverge substantially in climate impact projections? A comprehensive analysis based on eight barley crop models. Agricultural and Forest Meteorology 281: 107851. doi:10.1016/j.agrformet.2019.107851.

Tardieu F (2020) Educated big data to study sensitivity to drought. Nature Food 1: 669-670. doi:10.1038/s43016-020-00187-4.


Albasha R, Fournier C, Pradal C, Chelle M, Prieto JA, Louarn G, Simonneau T, Lebon E (2019) HydroShoot: a functional-structural plant model for simulating hydraulic structure, gas and energy exchange dynamics of complex plant canopies under water deficit - application to grapevine (Vitis vinifera L.). in silico Plants: diz007. doi:10.1093/insilicoplants/diz007.

Alcantara Novelli Dias F, Torregrosa L, Luchaire N, Houel C, Pellegrino A (2019) The microvine, a model to study the effect of temperature on grapevine latent bud development and fruitfulness. OENO One 53: 393-407. doi:10.20870/oeno-one.2019.53.3.2313.

Alvarez Prado S, Sanchez I, Cabrera Bosquet L, Grau A, Welcker C, Tardieu F, Hilgert N (2019) To clean or not to clean phenotypic datasets for outlier plants in genetic analyses? Journal of Experimental Botany 70: 3693-3698. doi:10.1093/jxb/erz191.

Asseng S, Martre P, Ewert F, Dreccer MF, Beres BL, Reynolds M, Braun H-J, Langridge P, Le Gouis J, Salse J, Baenziger PS (2019) Model-Driven Multidisciplinary Global Research to Meet Future Needs: The Case for "Improving Radiation Use Efficiency to Increase Yield". Crop Science 59: 843-849. doi:10.2135/cropsci2018.09.0562.

Asseng S, Martre P, Maiorano A, Rötter RP, O'Leary GJ, Fitzgerald GJ, Girousse C, Motzo R, Babar MA, Reynolds MP, Kheir AMS, Thorburn PJ, Waha K, Ruane AC, Aggarwal PK, Ahmed M, Balkovič J, Basso B, Biernath C, Bindi M, Cammarano D, Challinor AJ, De Sanctis G, Dumont B, Rezaei EE, Fereres E, Ferrise R, Garcia-Vila M, Gayler S, Gao Y, Horan H, Hoogenboom G, Izaurralde RC, Jabloun M, Curtis DJ, Kassie BT, Kersebaum K-C, Klein C, Koehler A-K, Liu B, Minoli S, San Martin MM, Muller C, Kumar SN, Nendel C, Olesen JE, Palosuo T, Porter J, Priesack E, Ripoche D, Semenov MA, Stöckle C, Stratonovitch P, Streck T, Supit I, Tao F, Van der Velde M, Wallach D, Wang E, Webber H, Wolf J, Xiao L, Zhang Z, Zhao Z, Zhuo Y, Ewert F (2019) Climate change impact and adaptation for wheat protein. Global Change Biology 25: 155-173. doi:10.1111/gcb.14481.

Avramova V, Meziane A, Bauer E, Blankenagel S, Eggels S, Gresset S, Grill E, Niculaes C, Ouzunova M, Poppenberger B, Presterl T, Rozhon W, Welcker C, Yang Z, Tardieu F, Schön C-C (2019) Carbon isotope composition, water use efficiency, and drought sensitivity are controlled by a common genomic segment in maize. Theoretical and Applied Genetics 132: 53-63. doi:10.1007/s00122-018-3193-4.

Bancel E, Bonnot T, Davanture M, Alvarez D, Zivy M, Martre P, Déjean S, Ravel C (2019) Proteomic Data Integration Highlights Central Actors Involved in Einkorn (Triticum monococcum ssp. monococcum) Grain Filling in Relation to Grain Storage Protein Composition. Frontiers in Plant Science 10: 832. doi:10.3389/fpls.2019.00832.

Barillot R, Chambon C, Fournier C, Combes D, Pradal C, Andrieu B (2019) Investigation of complex canopies with a functional–structural plant model as exemplified by leaf inclination effect on the functioning of pure and mixed stands of wheat during grain filling. Annals of Botany 123: 727-742. doi:10.1093/aob/mcy208.

Baumont M, Parent B, Manceau L, Brown H, Driever SM, Muller B, Martre P (2019) Experimental and modeling evidence of carbon limitation of leaf appearance rate for spring and winter wheat. Journal of Experimental Botany 70: 2449-2462. doi:10.1093/jxb/erz012.

Boudet J, Merlino M, Plessis A, Gaudin J-C, Dardevet M, Perrochon S, Alvarez D, Risacher T, Martre P, Ravel C (2019) The bZIP transcription factor SPA Heterodimerizing Protein represses glutenin synthesis in Triticum aestivum. Plant Journal 97: 858-871. doi:10.1111/tpj.14163.

Chen TW, Cabrera Bosquet L, Alvarez Prado S, Perez R, Artzet S, Pradal C, Coupel-Ledru A, Fournier C, Tardieu F (2019) Genetic and environmental dissection of biomass accumulation in multi-genotype maize canopies. Journal of Experimental Botany 70: 2523-2534. doi:10.1093/jxb/ery309.

Deloire A, Pellegrino A, Ristic R (2019) Spatial distribution of berry fresh mass, seed number and sugar concentration on grapevine clusters of Shiraz. Discussion of potential consequences for sampling to monitor vineyard ripening. Wine and Viticulture Journal (in press).

Garnier E, Vile D, Roumet C, Lavorel S, Grigulis K, Navas M-L, Lloret F (2019) Inter- and intra-specific trait shifts among sites differing in drought conditions at the north western edge of the Mediterranean Region. Flora 254: 147-160. doi:10.1016/j.flora.2018.07.009.

Kazakou E, Vasseur F, Sartori K, Baron E, Rowe N, Vile D (2019) Secondary metabolites have more influence than morpho‐physiological traits on litter decomposability across genotypes of Arabidopsis thaliana. New Phytologist 224: 1532-1543. doi:10.1111/nph.15983.

Koch G, Rolland G, Dauzat M, Bediee A, Baldazzi V, Bertin N, Guédon Y, Granier C (2019) Leaf Production and Expansion: A Generalized Response to Drought Stresses from Cells to Whole Leaf Biomass—A Case Study in the Tomato Compound Leaf. Plants 8: 409. doi:10.3390/plants8100409.

Liu B, Martre P, Ewert F, Porter J, Challinor AJ, Müller C, Ruane AC, Waha K, Thorburn PJ, Aggarwal PK, Ahmed M, Balkovič J, Basso B, Biernath C, Bindi M, Cammarano D, De Sanctis G, Dumont B, Espadafor M, Eyshi Rezaei E, Ferrise R, Garcia‐Vila M, Gayler S, Gao Y, Horan H, Hoogenboom G, Izaurralde RC, Jones CD, Kassie BT, Kersebaum KC, Klein C, Koehler AK, Maiorano A, Minoli S, Montesino San Martin M, Kumar SN, Nendel C, O'Leary GJ, Palosuo T, Priesack E, Ripoche D, Rötter RP, Semenov MA, Stöckle C, Streck T, Supit I, Tao F, Van der Velde M, Wallach D, Wang E, Webber H, Wolf J, Xiao L, Zhang Z, Zhao Z, Zhu Y, Asseng S (2019) Global wheat production with 1.5 and 2.0°C above pre‐industrial warming. Global Change Biology 25: 1428-1444. doi:10.1111/gcb.14542.

Liu S, Martre P, Buis S, Abichou M, Andrieu B, Baret F (2019) Estimation of plant and canopy architectural traits using the D3P Digital Plant Phenotyping Platform. Plant Physiology 181: 881-890. doi:10.1104/pp.19.00554.

Martin AR, Cadotte MW, Isaac ME, Milla R, Vile D, Violle C (2019) Regional and global shifts in crop diversity through the Anthropocene. PLoS ONE 14: e0209788. doi:10.1371/journal.pone.0209788.

Messina CD, Hammer GL, McLean G, Cooper M, van Oosterom EJ, Tardieu F, Chapman SC, Doherty A, Gho C (2019) On the dynamic determinants of reproductive failure under drought in maize. in silico Plants 110.1093/insilicoplants/diz003.

Millet E, Kruijer W, Coupel-Ledru A, Alvarez Prado S, Cabrera Bosquet L, Lacube S, Charcosset A, Welcker C, van Eeuwijk F, Tardieu F (2019) Genomic prediction of maize yield across European environmental conditions. Nature Genetics 51: 952-956. doi:10.1038/s41588-019-0414-y.

Molero G, Tcherkez G, Roca R, Mauve C, Cabrera-Bosquet L, Araus JL, Nogués S, Aranjuelo I (2019) Do metabolic changes underpin physiological responses to water limitation in alfalfa (Medicago sativa) plants during a regrowth period? Agricultural Water Management 212: 1-11. doi:10.1016/j.agwat.2018.08.021.

Muller B, Guédon Y, Passot S, Lobet G, Nacry P, Pagès L, Wissuwa M, Draye X (2019) Lateral roots: random diversity in adversity. Trends in Plant Science 24: 810-825. doi:10.1016/j.tplants.2019.05.011.

Muller B, Martre P (2019) Plant and crop simulation models: powerful tools to link physiology, genetics, and phenomics. Journal of Experimental Botany 70: 2339-2344. doi:10.1093/jxb/erz175.

Nahirñak V, Rivarola M, Almasia NI, Barrios Barón MP, Hopp HE, Vile D, Paniego N, Vazquez Rovere C (2019) Snakin-1 affects reactive oxygen species and ascorbic acid levels and hormone balance in potato. PLoS ONE 14: e0214165. doi:10.1371/journal.pone.0214165.

Negro SS, Millet E, Madur D, Bauland C, Combes V, Welcker C, Tardieu F, Charcosset A, Nicolas S (2019) Genotyping-by-sequencing and SNP-arrays are complementary for detecting quantitative trait loci by tagging different haplotypes in association studies. BMC Plant Biology 19: 318. doi:10.1186/s12870-019-1926-4.

Neveu P, Tireau A, Hilgert N, Negre V, Mineau-Cesari J, Brichet N, Chapuis R, Sanchez I, Pommier C, Charnomordic B, Tardieu F, Cabrera Bosquet L (2019) Dealing with multi-source and multi-scale information in plant phenomics: the ontology-driven Phenotyping Hybrid Information System. New Phytologist 221: 588-601. doi:doi:10.1111/nph.15385.

Ollat N, Cookson SJ, Destrac-Irvine A, Lauvergeat V, Ouaked-Lecourieux F, Marguerit E, Barrieu F, Dai Z, Duchêne E, Gambetta G, Gomes E, Lecourieux D, van Leeuwen C, Simonneau T, Torregrosa L, Vivin P, Delrot S (2019) Grapevine adaptation to abiotic stress: an overview. Acta Horticulturae 1248: 497-512. doi:10.17660/ActaHortic.2019.1248.68.

Parent B, Millet EJ, Tardieu F (2019) The use of thermal time in plant studies has a sound theoretical basis provided that confounding effects are avoided. Journal of Experimental Botany 70: 2359-2370. doi:10.1093/jxb/ery402.

Perez R, Fournier C, Cabrera Bosquet L, Artzet S, Pradal C, Brichet N, Chen TW, Chapuis R, Welcker C, Tardieu F (2019) Changes in the vertical distribution of leaf area enhanced light interception efficiency in maize over generations of selection. Plant, Cell and Environment 42: 2105-2119. doi:10.1111/pce.13539.

Porter JR, Challinor AJ, Henriksen CB, Howden SM, Martre P, Smith P (2019) Invited review: Intergovernmental Panel on Climate Change, agriculture, and food—A case of shifting cultivation and history. Global Change Biology 25: 2518-2529. doi:10.1111/gcb.14700.

Reynolds D, Baret F, Welcker C, Bostrom A, Ball J, Cellini F, Lorence A, Chawade A, Khafif M, Noshita K, Mueller-Linow M, Zhou J, Tardieu F (2019) What is cost-efficient phenotyping? Optimizing costs for different scenarios. Plant Science 282: 14-22. doi:10.1016/j.plantsci.2018.06.015.

Rincent R, Malosetti M, Ababaei B, Touzy G, Mini A, Bogard M, Martre P, Le Gouis J, van Eeuwijk F (2019) Using crop growth model stress covariates and AMMI decomposition to better predict genotype-by-environment interactions. Theoretical and Applied Genetics 132: 3399-3411. doi:10.1007/s00122-019-03432-y.

Roitsch T, Cabrera-Bosquet L, Fournier A, Ghamkhar K, Jiménez-Berni J, Pinto F, Ober ES (2019) Review: New sensors and data-driven approaches—A path to next generation phenomics. Plant Science 282: 2-10. doi:10.1016/j.plantsci.2019.01.011.

Sartori K, Vasseur F, Violle C, Baron E, Gerard M, Rowe N, Ayala-Garay OJ, Christophe A, Jalón LGd, Masclef D, Harscouet E, Granado MdR, Chassagneux A, Kazakou E, Vile D (2019) Leaf economics and slow-fast adaptation across the geographic range of Arabidopsis thaliana. Scientific reports 9: 10758. doi:10.1038/s41598-019-46878-2.

Torregrosa L, Rienth M, Romieu C, Pellegrino A (2019) The microvine, a model for studies in grapevine physiology and genetics. OENO One 53: 373-391. doi:10.20870/oeno-one.2019.53.3.2409.

van Eeuwijk F, Bustos-Korts D, Millet EJ, Boer M, Kruijer W, Thompson A, Malosetti M, Iwata H, Quiroz R, Kuppe C, Muller O, Blazakis KN, Yu K, Tardieu F, Chapman S (2019) Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding. Plant Science 282: 23-39. doi:10.1016/j.plantsci.2018.06.018.

Vasseur F, Fouqueau L, de Vienne D, Nidelet T, Violle C, Weigel D (2019) Nonlinear phenotypic variation uncovers the emergence of heterosis in Arabidopsis thaliana. Plos Biology 17: e3000214. doi:10.1371/journal.pbio.3000214.

Vrignon-Brenas S, Metay A, Leporatti R, Gharibi S, Fraga A, Dauzat M, Rolland G, Pellegrino A (2019) Gradual responses of grapevine yield components and carbon status to nitrogen supply. OENO One 53: 289-306. doi:10.20870/oeno-one.2019.53.2.2431.


Abichou M, Fournier C, Dornbusch T, Chambon C, De Solan B, Gouache D, Andrieu B (2018) Parameterising wheat leaf and tiller dynamics for faithful reconstruction of wheat plants by structural plant models. Field Crops Research 218: 213-230. doi:10.1016/j.fcr.2018.01.010.

Alvarez Prado S, Cabrera-Bosquet L, Grau A, Coupel-Ledru A, Millet E, Welcker C, Tardieu F (2018) Phenomics allows identification of genomic regions affecting maize stomatal conductance with conditional effects of water deficit and evaporative demand. Plant, Cell and Environment 41: 314-326. doi:10.1111/pce.13083.

Bergès, S.E., D. Vile, C. Vazquez-Rovere, S. Blanc, M. Yvon, A. Bédiée, et al. 2018. Interactions Between Drought and Plant Genotype Change Epidemiological Traits of Cauliflower mosaic virus. Frontiers in Plant Science 9: 703. doi:10.3389/fpls.2018.00703.

Bourion V, Heulin-Gotty K, Aubert V, Tisseyre P, Chabert-Martinello M, Pervent M, Delaitre C, Vile D, Siol M, Duc G, Brunel B, Burstin J, Lepetit M (2018) Co-inoculation of a Pea Core-Collection with Diverse Rhizobial Strains Shows Competitiveness for Nodulation and Efficiency of Nitrogen Fixation Are Distinct traits in the Interaction. Frontiers in Plant Science 8: 2249. doi:10.3389/fpls.2017.02249.

Dubois M, Selden K, Bediee A, Rolland G, Baumberger N, Noir S, Bach L, Lamy G, Granier C, Genschik P (2018) SIAMESE-RELATED1 is regulated post-translationally and participates in repression of leaf growth under moderate drought. Plant Physiology 176: 2834-2850. doi:10.1104/pp.17.01712.

Garin G, Pradal C, Fournier C, Claessen D, Houlès V, Robert C (2017) Modelling interaction dynamics between two foliar pathogens in wheat: a multi-scale approach. Annals of Botany 121: 927-940. doi:10.1093/aob/mcx186.

Kimball, B.A., G.W. Wall, J.W. White, M.J. Ottman and P. Martre. 2018. Wheat response to a wide range of temperatures, as determined from the Hot Serial Cereal (HSC) Experiment. Open Data Journal for Agricultural Research 4: 16-21. doi:10.18174/odjar.v4i0.15829.

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Martre P, Dambreville A (2018) A Model of Leaf Coordination to Scale-Up Leaf Expansion from the Organ to the Canopy. Plant Physiology 176: 704-716. doi:10.1104/pp.17.00986.

Martre P, Derory J (2018) Rendement du blé : le stress hydrique, principal facteur limitant en Europe. Perspectives Agricoles 453: 38-40

Pantin F, Blatt MR (2018) Stomatal Response to Humidity: Blurring the Boundary between Active and Passive Movement. Plant Physiology 176: 485-488. doi:10.1104/pp.17.01699.

Passot, S., B. Moreno-Ortega, D. Moukouanga, C. Balsera, S. Guyomarc'h, M. Lucas, et al. 2018. A new phenotyping pipeline reveals three types of lateral roots and a random branching pattern in two cereals. Plant Physiology 177: 896-910. doi:10.1104/pp.17.01648.

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Robert C, Garin G, Abichou M, Houlès V, Pradal C, Fournier C (2018) Plant architecture and foliar senescence impact the race between wheat growth and Zymoseptoria tritici epidemics. Annals of Botany  Ann. Bot. 121: 975-989. doi:10.1093/aob/mcx192.

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Tao F, Rötter RP, Palosuo T, Gregorio Hernández Díaz-Ambrona C, Mínguez MI, Semenov MA, Kersebaum KC, Nendel C, Specka X, Hoffmann H, Ewert F, Dambreville A, Martre P, Rodríguez L, Ruiz-Ramos M, Gaiser T, Höhn JG, Salo T, Ferrise R, Bindi M, Cammarano D, Schulman AH (2018) Contribution of crop model structure, parameters and climate projections to uncertainty in climate change impact assessments. Global Change Biology 24: 1291-1307. doi:10.1111/gcb.14019.

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Turc O, Tardieu F (2018) Drought affects abortion of reproductive organs by exacerbating developmentally-driven processes, via expansive growth and hydraulics. Journal of Experimental Botany 69: 3245-3254. doi:10.1093/jxb/ery078.

Varshney, R.K., R. Tuberosa and F. Tardieu. 2018. Progress in understanding drought tolerance: from alleles to cropping systems. Journal of Experimental Botany 69: 3175-3179. doi:10.1093/jxb/ery187.

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Webber H., White J.W., Kimball B.A., Ewert F., Asseng S., Eyshi Rezaei E., Pinter P.J., Hatfield J.L., Reynolds M.P., Ababaei B., Bindi M., Doltra J., Ferrise R., Kage H., Kassie B.T., Kersebaum K.-C., Luig A., Olesen J.E., Semenov M.A.,Stratonovitch P., Ratjen A.M., LaMorte R.L., Leavitt S.W., Hunsaker D.J., Wall G.W., Martre P. (2018) Physical robustness of canopy temperature models for crop heat stress simulation across environments and production conditions. Field Crops Research 216:75-88. DOI: 10.1016/j.fcr.2017.11.005.


Bonnot T., Bancel E., Alvarez D., Davanture M., Boudet J., Pailloux M., Zivy M., Ravel C., Martre P. (2017) Grain subproteome responses to nitrogen and sulfur supply in diploid wheat Triticum monococcum ssp. monococcum. Plant Journal 91:894-910. DOI: 10.1111/tpj.13615.

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Buchanan-Wollaston V., Wilson Z., Tardieu F., Beynon J., Denby K. (2017) Harnessing diversity from ecosystems to crops to genes. Food and Energy Security 6:19-25. DOI: 10.1002/fes3.106.

Cabrera Bosquet L., Grieder C., Alvarez Prado S., Sánchez C., Araus J.L. (2017) Kernel δ18O reflects changes in apical dominance and plant transpiration in tropical maize. Journal of Agronomy and Crop Science 203:277-285. DOI: 10.1111/jac.12196.

Chenu K., Porter J.R., Martre P., Basso B., Chapman S.C., Ewert F., Bindi M., Asseng S. (2017) Contribution of Crop Models to Adaptation in Wheat. Trends in Plant Science 22:472-490. DOI: 10.1016/j.tplants.2017.02.003.

Coupel-Ledru A., Tyerman S., Masclef D., Lebon E., Christophe A., Edwards E.J., Simonneau T. (2017) Abscisic acid down-regulates hydraulic conductance of grapevine leaves in isohydric genotypes only. Plant Physiology 175:1121-1134. DOI: 10.1104/pp.17.00698.

Dambreville A., Griolet M., Rolland G., Dauzat M., Bédiée A., Balsera C., Muller B., Vile D., Granier C. (2017) Phenotyping oilseed rape growth-related traits and their responses to water deficit: the disturbing pot size effect. Functional Plant Biology 44:35-45. DOI:

Gallusci P., Dai Z., Génard M., Gauffretau A., Leblanc-Fournier N., Richard-Molard C., Vile D., Brunel-Muguet S. (2017) Epigenetics for Plant Improvement: Current Knowledge and Modeling Avenues. Trends in Plant Science 22:610-623. DOI: 10.1016/j.tplants.2017.04.009.

Koch G., Dambreville A., Rolland G., Bertin N., Granier C. (2017) A multi-scale pipeline for reproducible analyses of tomato leaf expansion and its plasticity. Acta Horticulturae 1160:105-112. DOI: 10.17660/ActaHortic.2017.1160.15.

Lacube S., Fournier C., Palaffre C., Millet E.J., Tardieu F., Parent B. (2017) Distinct controls of leaf widening and elongation by light and evaporative demand in maize. Plant, Cell & Environment 40:2017-2028. DOI: 10.1111/pce.13005.

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Luchaire N., Rienth M., Romieu C., Nehe A., Chatbanyong R., Houel C., Ageorges A., Gibon Y., Turc O., Muller B., Torregrosa L., Pellegrino A. (2017) Microvine: A New Model to Study Grapevine Growth and Developmental Patterns and their Responses to Elevated Temperature. American Journal of Enology and Viticulture 68:283-292. DOI: 10.5344/ajev.2017.16066.

Ly D., Chenu K., Gauffreteau A., Rincent R., Huet S., Gouache D., Martre P., Bordes J., Charmet G. (2017) Nitrogen nutrition index predicted by a crop model improves the genomic prediction of grain number for a bread wheat core collection. Field Crops Research 214:331-340. DOI: 10.1016/j.fcr.2017.09.024.

Maiorano A., Martre P., Asseng S., Ewert F., Müller C., Rötter R.P., Ruane A.C., Semenov M.A., Wallach D., Wang E., Alderman P.D., Kassie B.T., Biernath C., Basso B., Cammarano D., Challinor A.J., Doltra J., Dumont B., Rezaei E.E., Gayler S., Kersebaum K.C., Kimball B.A., Koehler A.-K., Liu B., O’Leary G.J., Olesen J.E., Ottman M.J., Priesack E., Reynolds M., Stratonovitch P., Streck T., Thorburn P.J., Waha K., Wall G.W., White J.W., Zhao Z., Zhu Y. (2017) Crop model improvement reduces the uncertainty of the response to temperature of multi-model ensembles. Field Crops Research 202:5-20. DOI: 10.1016/j.fcr.2016.05.001.

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Ruane A.C., Rosenzweig C., Asseng S., Boote K.J., Elliott J., Ewert F., Jones J.W., Martre P., McDermid S.P., Müller C., Snyder A., Thorburn P.J. (2017) An AgMIP framework for improved agricultural representation in integrated assessment models. Environmental Research Letters 12:125003. DOI: 10.1088/1748-9326/aa8da6. 

Rymaszewski W., Vile D., Bediee A., Dauzat M., Luchaire N., Kamrowska D., Granier C., Hennig J. (2017) Stress-Related Gene Expression Reflects Morphophysiological Responses to Water Deficit. Plant Physiology 174:1913-1930. DOI: 10.1104/pp.17.00318.

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Tao F., Rötter R.P., Palosuo T., Díaz-Ambrona C.G.H., Mínguez M.I., Semenov M.A., Kersebaum K.C., Nendel C., Cammarano D., Hoffmann H., Ewert F., Dambreville A., Martre P., Rodríguez L., Ruiz-Ramos M., Gaiser T., Höhn J.G., Salo T., Ferrise R., Bindi M., Schulman A.H. (2017) Designing future barley ideotypes using a crop model ensemble. European Journal of Agronomy 82:144-162. DOI: 10.1016/j.eja.2016.10.012.

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Tardieu F., Parent B. (2017) Predictable ‘meta-mechanisms’ emerge from feedbacks between transpiration and plant growth and cannot be simply deduced from short-term mechanisms. Plant, Cell and Environment 40:846-857. DOI: 10.1111/pce.12822.

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Torregrosa L., Bigard A., Doligez A., Lecourieux D., Rienth M., Luchaire N., Pieri P., Chatbanyong R., Shahood R., Farnos M., Roux C., Adiveze A., Pillet J., Sire Y., Zumstein E., Veyret M., Le Cunff L., Lecourieux F., Saurin N., Muller B., Ojeda H., Houel C., Peros J.-P., This P., Pellegrino A., Romieu C. (2017) Developmental, molecular and genetic studies on grapevine response to temperature open breeding strategies for adaptation to warming. OENO One 51:155-165. DOI: 10.20870/oeno-one.2016.0.0.1587.

Valle B., Simonneau T., Boulord R., Sourd F., Frisson T., Ryckewaert M., Hamard P., Brichet N., Dauzat M., Christophe A. (2017) PYM: a new, affordable, image-based method using a Raspberry Pi to phenotype plant leaf area in a wide diversity of environments. Plant Methods 13:98. DOI: 10.1186/s13007-017-0248-5.

Valle B., Simonneau T., Sourd F., Pechier P., Hamard P., Frisson T., Ryckewaert M., Christophe A. (2017) Increasing the total productivity of a land by combining mobile photovoltaic panels and food crops. Applied Energy 206:1495-1507. DOI:

Van Munster M., Yvon M., Vile D., Dader Alonso B., Fereres A., Blanc S. (2017) Water deficit enhances the transmission of plant viruses by insect vectors. PLoS ONE 12:e0174398. DOI: 10.1371/journal.pone.0174398.

Vivin P., Lebon E., Dai Z., Duchêne E., Marguerit E., García de Cortázar-Atauri I., Zhu J., Simonneau T., Van Leeuwen C., Delrot S., Ollat N. (2017) Combining ecophysiological models and genetic analysis: a promising way to dissect complex adaptive traits in grapevine. OENO One 51:181-189. DOI: 10.20870/oeno-one.2016.0.0.1588.

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Yvon M., Vile D., Brault V., Blanc S., Van Munster M. (2017) Drought reduces transmission of Turnip yellows virus, an insect-vectored circulative virus. Virus Research 241:131-136. DOI: 10.1016/j.virusres.2017.07.009.

Zhao C., Liu B., Piao S., Wang X., Lobell D.B., Huang Y., Huang M., Yao Y., Bassu S., Ciais P., Durand J.-L., Elliott J., Ewert F., Janssens I.A., Li T., Lin E., Liu Q., Martre P., Müller C., Peng S., Peñuelas J., Ruane A.C., Wallach D., Wang T., Wu D., Liu Z., Zhu Y., Zhu Z., Asseng S. (2017) Temperature increase reduces global yields of major crops in four independent estimates. Proceedings of the National Academy of Sciences 114:9326-9331. DOI: 10.1073/pnas.1701762114.



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Beaumelle L., Vile D., Lamy I., Vandenbulcke F., Gimbert F., Hedde M. (2016) A structural equation model of soil metal bioavailability to earthworms: confronting causal theory and observations using a laboratory exposure to field-contaminated soils. Science of The Total Environment 569-570:961-972. DOI:

Cabrera-Bosquet L., Fournier C., Brichet N., Welcker C., Suard B., Tardieu F. (2016) High-throughput estimation of incident light, light interception and radiation-use efficiency of thousands of plants in a phenotyping platform. New Phytologist 212:269-281. DOI: 10.1111/nph.14027.

Cammarano D., Rotter R.P., Asseng S., Ewert F., Wallach D., Martre P., Hatfield J.L., Jones J.W., Rosenzweig C., Ruane A.C., Boote K.J., Thorburn P.J., Kersebaum K.C., Aggarwal P.K., Angulo C., Basso B., Bertuzzi P., Biernath C., Brisson N., Challinor A.J., Doltra J., Gayler S., Goldberg R., Heng L., Hooker J., Hunt L.A., Ingwersen J., Izaurralde R.C., Muller C., Kumar S.N., Nendel C., O'Leary G.J., Olesen J.E., Osborne T.M., Palosuo T., Priesack E., Ripoche D., Semenov M.A., Shcherbak I., Steduto P., Stockle C.O., Stratonovitch P., Streck T., Supit I., Tao F., Travasso M., Waha K., White J.W., Wolf J. (2016) Uncertainty of wheat water use: Simulated patterns and sensitivity to temperature and CO2. Field Crops Research 198:80-92. DOI: 10.1016/j.fcr.2016.08.015.

Cheviron B., Vervoort R.W., Albasha R., Dairon R., Le Priol C., Mailhol J.-C. (2016) A framework to use crop models for multi-objective constrained optimization of irrigation strategies. Environmental Modelling and Software 86:145-157. DOI: 10.1016/j.envsoft.2016.09.001.

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Neghliz H., Cochard H., Brunel N., Martre P. (2016) Ear rachis xylem occlusion and associated loss in hydraulic conductance coincide with the end of grain filling for wheat. Frontiers in Plant Science 7:920. DOI: 10.3389/fpls.2016.00920.

Oury V., Caldeira C.F., Prodhomme D., Pichon J.-P., Gibon Y., Tardieu F., Turc O. (2016) Is change in ovary carbon status a cause or a consequence of maize ovary abortion in water deficit during flowering? Plant Physiology 171:997-1008. DOI: 10.1104/pp.15.01130.

Oury V., Tardieu F., Turc O. (2016) Ovary apical abortion under water deficit is caused by changes in sequential development of ovaries and in silk growth rate in maize. Plant Physiology 171:986-996. DOI: 10.1104/pp.15.00268.

Parent B., Vile D., Violle C., Tardieu F. (2016) Towards parsimonious ecophysiological models that bridge ecology and agronomy. New Phytologist 210:380-382. DOI: 10.1111/nph.13811.

Passot S., Gnacko F., Moukouanga D., Lucas M., Guyomarc’h S., Ortega B., Atkinson J.A., Belko M.N., Bennett M.J., Gantet P., Wells D.M., Guédon Y., Vigouroux Y., Verdeil J.-L., Muller B., Laplaze L. (2016) Characterization of Pearl Millet Root Architecture and Anatomy Reveals Three Types of Lateral Roots. Frontiers in Plant Science 7:829. DOI: 10.3389/fpls.2016.00829.

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Ryan A.C., Dodd I.C., Rothwell S.A., Jones R., Tardieu F., Draye X., Davies W.J. (2016) Gravimetric phenotyping of whole plant transpiration responses to atmospheric vapour pressure deficit identifies genotypic variation in water use efficiency. Plant Science 251:101-109. DOI: 10.1016/j.plantsci.2016.05.018.

Shirdelmoghanloo H., Lohraseb I., Rabie H.S., Brien C., Parent B., Collins N.C. (2016) Heat susceptibility of grain filling in wheat (Triticum aestivum L.) linked with rapid chlorophyll loss during a 3-day heat treatment. Acta Physiologiae Plantarum 38:208. DOI: 10.1007/s11738-016-2208-5.

Tardieu F. (2016) Too many partners in root-shoot signals. Does hydraulics qualify as the only signal that feeds back over time for reliable stomatal control? New Phytologist 212:802-804. DOI: 10.1111/nph.14292.

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. DOI: 10.7717/peerj.2408.

Turc O., Bouteillé M., Fuad-Hassan A., Welcker C., Tardieu F. (2016) The growth of vegetative and reproductive structures (leaves and silks) respond similarly to hydraulic cues in maize. New Phytologist 212:377-388. DOI: 10.1111/nph.14053.