Argitalpenak (141) FRANCISCO JAVIER RODRIGUEZ RAJO argitalpenak

2024

  1. The role of automatic pollen and fungal spore monitoring across major end-user domains

    Aerobiologia

2023

  1. Aeromycological studies in the crops of the main cereals: A systematic review

    Journal of Agriculture and Food Research, Vol. 14

  2. Alnus Airborne Pollen Trends during the Last 26 Years for Improving Machine Learning-Based Forecasting Methods

    Forests, Vol. 14, Núm. 8

  3. Puccinia Spore Concentrations in Relation to Weather Factors and Phenological Development of a Wheat Crop in Northwestern Spain

    Agriculture (Switzerland), Vol. 13, Núm. 8

  4. Short-Term Exposure of Dactylis glomerata Pollen to Atmospheric Gaseous Pollutants Is Related to an Increase in IgE Binding in Patients with Grass Pollen Allergies

    Plants, Vol. 12, Núm. 1

2022

  1. Data mining assessment of Poaceae pollen influencing factors and its environmental implications

    Science of the Total Environment, Vol. 815

  2. Detección automática de momentos de risco alérxico da poboación ourensá

    Proxectos INOU 2021: Investigación aplicada na provincia de Ourense (Vicerreitoría do Campus de Ourense), pp. 75-97

  3. Fungal Phytopathogenic Spore First Assessment in an Olive Orchard of Northwestern Spain

    Agronomy, Vol. 12, Núm. 2

  4. London Plane Tree Pollen and Pla A 1 Allergen Concentrations Assessment in Urban Environments

    Forests, Vol. 13, Núm. 12

  5. The understanding of phytopathogens as a tool in the conservation of heroic viticulture areas

    Aerobiologia, Vol. 38, Núm. 2, pp. 177-193

2021

  1. Análisis de la percepción de síntomas y manejo del tratamiento en pacientes con rinitis polínica

    Cadernos de atención primaria, Vol. 27, Núm. 3, pp. 6-13

  2. Aspergillus and Penicillium spores as urban pathogens of the Havana atmosphere, Cuba

    Aerobiologia, Vol. 37, Núm. 4, pp. 767-783

  3. Botrytis cinerea airborne conidia and their germination ability assessed by immunological methods in a NW Spain vineyard

    Agronomy, Vol. 11, Núm. 7

  4. Data mining methods to detect airborne pollen of spring flowering arboreal taxa

    Forests, Vol. 12, Núm. 12

  5. Phenological model to predict budbreak and flowering dates of four vitis vinifera l. Cultivars cultivated in do. ribeiro (north‐west spain)

    Plants, Vol. 10, Núm. 3, pp. 1-18

  6. Pollen Ole e 1 content variations in olive cultivars of different Portugal regions

    Aerobiologia, Vol. 37, Núm. 2, pp. 205-216

  7. Reproductive biology of olive trees (Arbequina cultivar) at the northern limit of their distribution areas

    Forests, Vol. 12, Núm. 2, pp. 1-16

  8. Sin título en SCOPUS

    Proceedings of the National Academy of Sciences of the United States of America, Vol. 118, Núm. 12

  9. VITICAST: desarrollo de modelos de predicción de mildiu, oídio y botritis para la optimización de uso de fitosanitarios en viticultura

    Phytoma España: La revista profesional de sanidad vegetal, Núm. 330, pp. 42-46

2020

  1. Airborne fungal phytopathological spore assessment in three European vineyards from different bioclimatic areas

    Aerobiologia, Vol. 36, Núm. 4, pp. 715-729