BFU 2017 88300-C2-1-R

• Resultados

Publicaciones dentro del proyecto:

1. Victoria Ruiz-Hernández, María José Roca, Marcos Egea-Cortines and Julia Weiss. (2018). A comparison of semi-quantitative methods suitable for establishing volatile profiles. Plant Methods. 14:67
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2. Terry MI, Perez-Sanz F, Díaz-Galián MI, Perez de los Cobos F, Navarro PJ, Egea‐Cortines M, Weiss, J. (2019) The Petunia CHANEL gene is a ZEITLUPE ortholog coordinating growth and scent profiles. Cells 8(4)343.
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3. MI Terry, F Pérez-Sanz, PJ Navarro, J Weiss, M Egea-Cortines (2019). The Snapdragon LATE ELONGATED HYPOCOTYL Plays A Dual Role in Activating Floral Growth and Scent Emission. Cells 8 (8), 920.
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4. MI Terry, M Carrera-Alesina, J Weiss, M Egea-Cortines (2019). Molecular and transcriptional structure of the petal and leaf circadian clock in Petunia hybrida. BioRxiv
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5. Terry, Marta I.; Carrera-Alesina, Marta; Weiss, Julia; Egea-Cortines, Marcos (2019). "Transcriptional Structure of Petunia Clock in Leaves and Petals." Genes 10, no. 11: 860.
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6. Díaz-Galián, M.V.; Perez-Sanz, F.; Sanchez-Pagán, J.D.; Weiss, J.; Egea-Cortines, M.; Navarro, P.J. (2019). A Proposed Methodology to Analyze Plant Growth and Movement from Phenomics Data. Remote Sens.11, 2839.
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7. Brandoli, C., Petri, C., Egea-Cortines, M. et al.(2020). The clock gene Gigantea 1 from Petunia hybrida coordinates vegetative growth and inflorescence architecture. Scientific Reports 10, 275 doi:10.1038/s41598-019-57145-9
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8. Brandoli, C.; Petri, C.; Egea-Cortines, M.; Weiss, J. (2020). Gigantea: Uncovering New Functions in Flower Development. Genes, 11, 1142.

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9. Terry MI, Ruiz-Hernández V, Águila DJ, Weiss J and Egea-Cortines M (2021). The Effect of Post-harvest Conditions in Narcissus sp. Cut Flowers Scent Profile. Frontiers in Plant Science. 11:540821. doi: 10.3389/fpls.2020.540821
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10. Navarro, P.J.; Miller, L.; Gila-Navarro, A.; Díaz-Galián, M.V.; Aguila, D.J.; Egea-Cortines, M. (2021). 3DeepM: An Ad Hoc Architecture Based on Deep Learning Methods for Multispectral Image Classification. Remote Sensing, 13, 729.
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11. Perez-Sanz, F.; Ruiz-Hernández, V.; Terry, M.I.; Arce-Gallego, S.; Weiss, J.; Navarro, P.J.; Egea-Cortines, M.(2021). gcProfileMakeR: An R Package for Automatic Classification of Constitutive and Non-Constitutive Metabolites. Metabolites, 11, 211.
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12. Ruiz-Hernández V, Joubert L, Rodríguez-Gómez A, Artuso S, Pattrick JG, Gómez PA, Eckerstorfer S, Brandauer SS, Trcka-Rojas CGI, Martínez-Reina L, Booth J, Lau-Zhu A, Weiss J, Bielza P, Glover BJ, Junker RR and Egea-Cortines M (2021) Humans Share More Preferences for Floral Phenotypes With Pollinators Than With Pests. Frontiers in Plant Science. 12, 1762.
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13. Navarro PJ; Miller L; Díaz-Galián MV; Gila-Navarro A; Aguila DJ; Egea-Cortines M (2022). A novel ground truth multispectral image dataset with weight, anthocyanins and brix index measures of grape berries tested for its utility in machine learning pipelines.  GigaScience, Volume 11, giac052.
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