Publications

Publications in Journals

• Wang, Tien-Cheng; Casadebaig, Pierre; Chen, Tsu-Wei, More than 1000 genotypes are required to derive robust relationships between yield, yield stability and physiological parameters: A computational study on wheat crop, TAG Theoretical and Applied Genetics, 2023, 136 (3), pp.34. ff10.1007/s00122- 023-04264-7ff. ffhal-04039787f
  Link: https://hal.inrae.fr/hal-04039787/file/2023-Casadebaig-s00122-023-04264-7.pdf
  
  
• Caterina Morcia; Riccardo De Flaviis; Valeria Terzi; Maria Eugenia Gasparelli; Roberta Ghizzoni; Franz-W. Badeck; Fulvia Rizza; Veronica Santarelli; Giorgio Tumino; Giampiero Sacchetti, Long-Term In Situ Conservation Drove Microevolution of Solina d’Abruzzo Wheat on Adaptive, Agronomic and Qualitative Traits, Plants, 12(6), Article 1306
  Link: https://research.wur.nl/en/publications/long-term-in-situ-conservation-drove-microevolution-of-solina-dab
  
  
• Vincke D., Eylenbosch D., Jacquemin G., Chandelier A., Fernandez Pierna J. A., Stevens F., Baeten V., Mercatoris B. Vermeulen P., Near infrared hyperspectral Imaging method to assess Fusarium Head Blight infection on winter wheat ears, Microchemical Journal, Volume 191, 2023, 108812, ISSN 0026-265X
  Link: https://www.sciencedirect.com/science/article/abs/pii/S0026265X23004307?via%3Dihub

• Michaela Jung, Morgane Roth, Maria José Aranzana, Annemarie Auwerkerken, Marco Bink, Caroline Denancé, Christian Dujak, Charles-Eric Durel, Carolina Font i Forcada, Celia M. Cantin, Walter Guerra, Nicholas P. Howard, Beat Keller, Mariusz Lewandowski, Matthew Ordidge, Marijn Rymenants, Nadia Sanin, Bruno Studer, Edward Zurawicz, François Laurens, Andrea Patocchi, Hélène Muranty, The apple REFPOP—a reference population for genomics-assisted breeding in apple
  Link: https://academic.oup.com/hr/article/doi/10.1038/s41438-020-00408-8/6445690

• Juan M. Herrera, Lilia Levy Häner, Fabio Mascher, Jürg Hiltbrunner, Dario Fossati, Cécile Brabant, Raphaël Charles, Didier Pellet (2020), Lessons From 20 Years of Studies of Wheat Genotypes in Multiple Environments and Under Contrasting Production Systems, Front. Plant Sci., 28 January 2020 – Sec. Crop and Product Physiology – Volume 10 – 2019
  Link: https://doi.org/10.3389/fpls.2019.01745

• Philippe Debaeke, Pierre Casadebaig, Francis Flenet, and Nicolas Langlade, Sunflower crop and climate change: vulnerability, adaptation, and mitigation potential from case-studies in Europe, OCL, 24 1 (2017) D102
  Link: https://www.ocl-journal.org/articles/ocl/full_html/2017/01/ocl160024/ocl160024.html

• Daniela Bustos-Korts, Marcos Malosetti, Karine Chenu, Scott Chapman, Martin P. Boer, Bangyou Zheng, Fred A. van Eeuwijk, From QTLs to Adaptation Landscapes: Using Genotype-To-Phenotype Models to Characterize G×E Over Time, Front Plant Sci. 2019; 10: 1540
  Link: https://www.frontiersin.org/articles/10.3389/fpls.2019.01540/full

• Daniela Bustos-Korts*, Martin P. Boer, Jamie Layton, Anke Gehringer, Tom Tang, Ron Wehrens, Charlie Messina, Abelardo J. de la Vega, Fred A. van Eeuwijk, Identification of environment types and adaptation zones with self-organizing maps; applications to sunflower multi-environment data in Europe, Pages (from-to)2059-2082 – Journal Theoretical and Applied Genetics – Volume135 – Issue number 6 – Early online date7 May 2022 – Publication status: Published – Jun 2022
  Link: https://pubmed.ncbi.nlm.nih.gov/35524815
  
  
• Caterina Morcia, Roberta Ghizzoni, Chiara Delogu, Lorella Andreani, Paola Carnevali, and Valeria Terzi, Digital PCR: What Relevance to Plant Studies?, Biology (Basel). 2020 Dec; 9(12): 433.
  Link: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7760125/

• Samiei, S., Rasti, P., Vu, J. L., Buitink, J., & Rousseau, D, Deep learning-based detection of seedling development, Plant Methods volume 16, Article number: 103 (2020)
  Link: https://plantmethods.biomedcentral.com/articles/10.1186/s13007-020-00647-9

• Daniela Bustos-Korts, Martin P. Boer, Marcos Malosetti, Scott Chapman, Karine Chenu, Bangyou Zheng, Fred A. van Eeuwijk, Combining Crop Growth Modeling and Statistical Genetic Modeling to Evaluate Phenotyping Strategies, Front. Plant Sci., 27 November 2019 – Sec. Technical Advances in Plant Science – Volume 10 – 2019
  Link: https://doi.org/10.3389/fpls.2019.0149

• Caterina Morcia; Raffaella Bergami; Sonia Scaramagli; Chiara Delogu; Lorella Andreani; Paola Carnevali; Giorgio Tumino; Roberta Ghizzoni; Valeria Terzi, A Digital PCR Assay to Quantify the Percentages of Hulled vs. Hulless Wheat in Flours and Flour-Based Products, VOLUME=10;ISSUE=11;ISSN-20797737;TITLE=Biology
  Link: https://www.mdpi.com/2079-7737/10/11/1138

• Cibecchini, G.; Cecere, P.; Tumino, G.; Morcia, C.; Ghizzoni, R.; Carnevali, P.; Terzi, V.; Pompa, A Fast, Naked-Eye Assay for Varietal Traceability in the Durum Wheat Production Chain, Foods 2020, 9(11), 1691
  Link: https://www.mdpi.com/2304-8158/9/11/1691

• Gilliland, TJ, Annicchiarico, P, Julier, B, Ghesquière, A proposal for enhanced EU herbage VCU and DUS testing procedures. Grass Forage, Sci. 2020; 75: 227– 241
  Link: https://doi.org/10.1111/gfs.12492

• Morcia, C.; Bergami, R.; Scaramagli, S.; Ghizzoni, R.; Carnevali, P.; Terzi, V., A Chip Digital PCR Assay for Quantification of Common Wheat Contamination in Pasta Production Chain, National Library of Medecine – PMID: 32664323 PMCID: PMC7404985 DOI: 10.3390/foods9070911
  Link: https://pubmed.ncbi.nlm.nih.gov/32664323/

• Garbouge, H., Rasti, P., & Rousseau D., Enhancing the Tracking of Seedling Growth Using RGB-Depth Fusion and Deep Learning, Sensors 2021, 21(24), 8425
  https://www.mdpi.com/1424-8220/21/24/8425/htm

• P. Annicchiarico, L. Pecetti, Exploiting heterosis of semi-hybrids and heterogeneity of cultivar mixtures to enhance alfalfa crop performance, Field Crops Research, Volume 283, 2022, 108522, ISSN 0378-4290
  Link: https://doi.org/10.1016/j.fcr.2022.108522

Publications in conferences proceedings/Workshop 

• Stéphanie Mahieu, Fabien Surault, Eric Roy, Didier Combes, Marc, Ghesquière, Gaëtan Louarn, Ela Frak, Bernadette Julier, La photogrammétrie pour mesurer la hauteur de couverts de luzerne à partir d’images prises avec un drone, HAL Id: hal-03323306
  Link: https://hal.inrae.fr/hal-03323306/document

• Couasnet, G., El Abidine, M. Z., Laurens, F., Dutagaci, H., & Rousseau, D., Machine learning meets distinctness in variety testing. In Proceedings of the IEEE/CVF International Conference on Computer, D. (2021) – (pp. 1303-1311)
  Link: https://openaccess.thecvf.com/content/ICCV2021W/CVPPA/papers/Couasnet_Machine_Learning_Meets_Distinctness_in_Variety_Testing_ICCVW_2021_paper.pdf
  

• Zine-El-Abidine, M., Dutagaci, H., & Rousseau,  D. (2021, August), Dimensionality Reduction for Ordinal Classification, (EUSIPCO) (pp. 1531-1535). IEEE.
  Link: https://eurasip.org/Proceedings/Eusipco/Eusipco2021/pdfs/0001531.pdf

• Hadhami Garbouge, Nicolas Mascher, Joseph Peller, Philippe Vermeulen, Didier Demilly, Rick Van de Zedde, Cécile Collonnier, Mark Mueller-Linow and David Rousseau, Towards numerical practices in variety testing: a rationale to select the most promising traits, UPOV, Technical Working Party on Automation and Computer Programs
  Link: https://www.upov.int/meetings/en/doc_details.jsp?meeting_id=55673&doc_id=511975
  
  
• Vincke D., L., Scaut B., Mercatoris B., Baeten V.,Vermeulen P., Near infrared imaging for cereal’s health status

Others

• Mouad Zine-El-Abidine a, Helin Dutagaci b, Gilles Galopin c, David Rousseau, Assigning Apples to Individual Trees in Dense Orchards using 3D Color Point Clouds, ScienceDirect – Volume 209, September 2021, Pages 30-52
  Link: https://doi.org/10.1016/j.biosystemseng.2021.06.015