| Adaptive potential of maritime pine under contrasting environments R Alía Miranda, JM Climent Maldonado, L Santos-del-Blanco, ... Instituto de Ciencias Forestales (ICIFOR), 2024 | | 2024 |
| Adaptive potential of maritime pine under contrasting environments R Alía, J Climent, L Santos-del-Blanco, A Gonzalez-Arrojo, I Feito, ... BMC Plant Biology 24 (1), 37, 2024 | 1 | 2024 |
| An analysis of natural variation in Pinus pinaster through the lens of systems biology J Pascual, C Lopez-Hidalgo, I Feito, J Majada, M Meijon bioRxiv, 2024.01. 29.577781, 2024 | | 2024 |
| Local seed sourcing for sustainable forestry R Alía, E Notivol, J Climent, F Pérez, D Barba, J Majada, ... PloS one 17 (12), e0278866, 2022 | 1 | 2022 |
| Canopy characterization of sweet chestnut coppice in the north of spain from lidar data M Prada, E Canga, J Majada, C Martínez-Alonso European Journal of Forest Research 141 (2), 267-279, 2022 | 1 | 2022 |
| Polygenic adaptation and negative selection across traits, years and environments in a long‐lived plant species (Pinus pinaster Ait., Pinaceae) M de Miguel, I Rodríguez‐Quilón, M Heuertz, A Hurel, D Grivet, ... Molecular ecology 31 (7), 2089-2105, 2022 | 26 | 2022 |
| Automatic Assessment of Individual Stem Shape Parameters in Forest Stands from TLS Point Clouds: Application in Pinus pinaster C Prendes, E Canga, C Ordoñez, J Majada, M Acuna, C Cabo Forests 13 (3), 431, 2022 | 3 | 2022 |
| Maritime pine genomics in focus L Sterck, N de María, RA Cañas, M de Miguel, P Perdiguero, A Raffin, ... The Pine Genomes, 67-123, 2022 | 5 | 2022 |
| Straightening the crooked: intraspecific divergence of stem posture control and associated trade-offs in a model conifer R Sierra-de-Grado, V Pando, J Voltas, R Zas, J Majada, J Climent Journal of Experimental Botany 73 (4), 1222-1235, 2022 | 2 | 2022 |
| Residual pyrolysis biochar as additive to enhance wood pellets quality R García, MV Gil, A Fanjul, A González, J Majada, F Rubiera, C Pevida Renewable Energy 180, 850-859, 2021 | 16 | 2021 |
| Effects of forwarding on soil hydrological properties in thinning operation in northern Spain. E Canga, A Arias-González, J Majada, N Gartzia-Bengoetxea | | 2021 |
| Predicting growth and yield for Eucalyptus nitens energy crops in Galicia including environmental attributes. M González-García, A Hevia, J Majada, R Calvo de Anta, M Barrio-Anta | | 2021 |
| An algorithm for the automatic parametrization of wood volume equations from Terrestrial Laser Scanning point clouds: application in Pinus pinaster C Prendes, C Cabo, C Ordoñez, J Majada, E Canga GIScience & Remote Sensing 58 (7), 1130-1150, 2021 | 6 | 2021 |
| Memoria Proyecto NIROB A González Arrojo, J Majada Guijo, P Perez Calzón | | 2021 |
| Assessing canopy responses to thinnings for sweet chestnut coppice with time-series vegetation indices derived from landsat-8 and sentinel-2 imagery M Prada, C Cabo, R Hernández-Clemente, A Hornero, J Majada, ... Remote Sensing 12 (18), 3068, 2020 | 13 | 2020 |
| Improving spatial synchronization between X-ray and near-infrared spectra information to predict wood density profiles A Alves, A Hevia, R Simões, J Majada, R Alia, J Rodrigues Wood Science and Technology 54, 1151-1164, 2020 | 10 | 2020 |
| Methodology optimization for the analysis of phenolic compounds in chestnut (Castanea sativa Mill.) F Fuente-Maqueda, A Rodríguez, J Majada, B Fernández, I Feito Food Science and Technology International 26 (6), 520-534, 2020 | 8 | 2020 |
| Which matters more for wood traits in Pinus halepensis Mill., provenance or climate? A Hevia, F Campelo, R Chambel, J Vieira, R Alía, J Majada, ... Annals of Forest Science 77, 1-24, 2020 | 27 | 2020 |
| Which matters more for wood traits in Pinus halepensis Mill., provenance or climate? A Hevia Cabal, F Campelo, R Chambel, J Vieira, R Alía, J Majada, ... | | 2020 |
| Methodology optimization for the analysis of phenolic compounds in chestnut (Castanea sativa Mill.) AMJ Rodríguez Alonso, J Majada, MB Fernández Muñiz, I Feito Díaz Food Science and Technology International, 2020 | | 2020 |
