DR. GUSTAVO A. LOBOS
Profesor Asociado Dr. en Ciencias Agrarias, Universidad de Talca Ingeniero Agrónomo, Universidad de Talca
71 2 200 214
globosp@utalca.cl Línea de Investigación
Mi trabajo se centra en dos áreas principales: i) En ecofisiología frutal, tratamos de resolver problemas productivos a través de la comprensión de la interacción planta/fruta y el medioambiente (macro y micro) en especies de relevancia económica para el país (cerezos, manzanos, vides, entre otros), con especial énfasis en arándanos; y ii) En mejoramiento genético, mediante el desarrollo de la fenómica como herramienta para la identificación de individuos sobresalientes. Hemos focalizado los esfuerzos en la estimación de “caracteres fisiológicos complejos” (ej., intercambio de gases, fluorescencia modulada de la clorofila a, concentración de pigmentos y osmorreguladores, composición isotópica del carbono y el oxigeno, entre otros) vía espectrometría y termografía, en varios programas de mejoramiento activos del país (trigo, alfalfa, quínoa, arándanos y frutilla) orientados a estreses abióticos (salinidad, déficit hídrico y alta temperatura).
Publicaciones (últimos cinco años) / Researchgate
Mora-Poblete, F., Ballesta, P., Lobos, G.A., Molina-Montenegro, M., Gleadow, R., Ahmar, S., Jimenez-Aspee, F. 2021. Genome-wide association study of cyanogenic glycosides, proline, sugars and pigments in Eucalyptus cladocalyx after eighteen consecutive dry summers. Physiologia Plantarum173: 286–288 (Q1, IF: 4.148).
Garriga M., Romero-Bravo S., Estrada F., Méndez-Espinoza A.M., González-Martínez L., Matus I., Castillo D., Lobos G.A.*, del Pozo A*. 2021. Estimating carbon isotope discrimination and grain yield of bread wheat grown under water-limited and full irrigation conditions by hyperspectral canopy reflectance and multilinear regression analysis. International Journal of Remote Sensing 42: 2848–2871 (Q1, IF: 2.976).
Garriga M., Ovalle, C., Espinoza S., Lobos G.A., del Pozo A. 2020. Estimating physiological and productivity traits in alfalfa using VIS-NIR reflectance data. Crop and Pasture Science 71: 90-100 (Q1, IF: 1.400).
del Pozo A., Méndez-Espinosa A.M., Romero-Bravo1 S., Garriga M., Estrada F., Alcaíno M., Camargo-Rodriguez A., Corke F., Doonan J., Lobos G.A. 2020. Genotypic variation in leaf and whole-plant water use efficiencies are close related in bread wheat genotypes under well-watered and water-limited conditions during grain filling. Scientific Reports 10: 460 (Q1, IF: 4.011).
Trung T.P.*, Lobos G.A., Vidal-Silva C.L. 2019. Innovation in data mining for the image processing: K-means clustering for data sets of elongated forms and its application in the agroindustry. Información Tecnológica 30: 135-142.
Lobos G.A., Camargo A., del Pozo A., Araus J.L., Ortiz R., Doonan J.H. (Eds.) 2018. Plant Phenotyping and Phenomics for Plant Breeding. Lausanne: Frontiers Media. doi: 10.3389/978-2-88945-532-4
Moggia C., González C., Lobos G.A., Bravo C., Valdés M., Lara I., Graell J. 2018. Changes in quality and maturity of ‘Duke’ and ‘Brigitta’ blueberries during fruit development: postharvest implications. VIII International Postharvest Symposium: Enhancing Supply Chain and Consumer Benefits – Ethical and Technological Issues. Acta Hort. (ISHS) 1194: 1495-1501.
Romero-Bravo S., Méndez-Espinoza A.M., Garriga M., Estrada F., Escobar A., González-Martinez L., Poblete-Echeverría C., Sepúlveda D., Matus I., Castillo D., del Pozo A., Lobos G.A.*. 2019. Thermal imaging reliability for estimating grain yield and carbon isotope discrimination in wheat genotypes: importance of the environmental conditions. Sensors 19: 2676. (Q1, IF: 3.031)
del Pozo A.*, Brunel-Saldias N., Engler A., Ortega-Farias S., Acevedo-Opazo C., Lobos G.A., Jara-Rojas R., Molina-Montenegro M. 2019. Climate change impacts and adaptation strategies of agriculture in Mediterranean-climate regions (MCRs). Sustentability 11: 2769. (Q1, IF: 2.592).
Méndez-Espinoza A.M., Romero-Bravo S., Estrada F., Escobar A., Lobos G.A., Castillo D., Matus I., Aranjuelo I., del Pozo A. 2019. Exploring agronomic and physiological traits associated with the differences in productivity between triticale and bread wheat in Mediterranean environments. Frontiers in Plant Science 10: 404. (Q1, IF: 4.106).
Lobos G.A.*, Escobar-Opazo A., Estrada F., Romero-Bravo S., Garriga M., del Pozo A., Poblete-Echeverría C., Gonzalez-Talice J., González-Martinez L., Caligari P. 2019. Spectral reflectance modeling by wavelength selection: studying the scope for blueberry physiological breeding under contrasting water supply and heat conditions. Remote Sensing 11: 329. (Q1, IF: 4.118).
Lobos G.A.*, Bravo C., Valdés M., Graell J., Lara I., Beaudry R., Moggia C.*. 2018. Within-plant variability in blueberry (Vaccinium corymbosum L.): maturity at harvest and position within the canopy influence fruit firmness at harvest and postharvest. Postharvest Biology and Technology 146C: 26-35. (Q1, IF: 3.927).
Lobos G.A.*, Camargo A., del Pozo A., Araus J.L., Ortiz R., Doonan J.H. 2017. Editorial: Plant phenotyping and phenomics for plant breeding. Frontiers in Plant Science 8: 2181. (Q1, IF: 4.106).
Moggia C.*, Beaudry R., Retamales J., Lobos G.A.*. 2017. Variation in the impact of stem scar and cuticle on water loss in highbush blueberry fruit argue for the use of water permeance as a selection criterion in breeding. Postharvest Biology and Technology 132: 88-96. (Q1, IF: 3.927).
Moggia C.*, Graell J., Lara I., González G., Lobos G.A.*. 2017. Firmness at harvest impacts postharvest fruit softening and internal browning development in mechanically damaged and non-damaged highbush blueberries (Vaccinium corymbosum L.). Frontiers in Plant Science 8: 535. (Q1, IF: 4.106).
Garriga M., Romero-Bravo S., Estrada F., Escobar A., Matus I., del Pozo A., Astudillo C.A., Lobos G.A.*. 2017. Assessing wheat traits by spectral reflectance: do we really need to focus on predicted trait-values or directly identify the elite genotypes group? Frontiers in Plant Science 8: 280. (Q1, IF: 4.106).
Lobos G.A.*, Poblete-Echeverría C.*. 2017. Spectral Knowledge (SK-UTALCA): software for exploratory analysis of high-resolution spectral reflectance data on plant breeding. Frontiers in Plant Science 7: 1996. (Q1, IF: 4.106).
Camargo A.*, Lobos G.A.*. 2016. Latin America: a development pole for phenomics. Frontiers in Plant Science 7: 1729. (Q1, IF: 4.106).
Moggia C.*, Graell J., Lara I., Schmeda-Hirschmann G., Thomas-Valdés S., Lobos G.A.* 2016. Fruit characteristics and cuticle triterpenes as related to postharvest quality of highbush blueberries. Scientia Horticulturae 211: 449-457. (Q1, IF: 1.961).
Proyectos Vigentes
Fenotipado aéreo de alto rendimiento para programas de mejoramiento genético en ambientes adversos: incrementando la capacidad predictiva de los modelos ecofisiológicos desarrollados con mediciones terrestres. FONDEQUIP EQM190124, 2019-2020.
Estrategia integral de predicción y control de bitter pit en manzanas, mediante un método no destructivo de fluorescencia de rayos X (FRX). FONDEF IDeA ID18I10214, 2019-2021.
How to reduce softening rates of fresh blueberries at final destination: targeting the time elapsed between harvests according to seasonal environmental conditions? FONDECYT REGULAR 1191818, 2019-2022.
Development of a phenotyping platform that allows reduces costs and accelerates the release of cultivars in breeding programs. FONDEF IDeA 14I20106, 2017-2020.
Identifying agronomical and morpho-physiological traits associated to high-yield potential of winter wheat. FONDECYT REGULAR 1180252, 2019-2021.