Listar por autor "González Pérez, L."
Mostrando ítems 1-11 de 11
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Article
Application of unmanned aerial systems for high throughput phenotyping of large wheat breeding nurseries
Haghighattalab, A.; Gonzalez-Perez, L.; Mondal, S.; Singh, D.; Schinstock, D.; Rutkoski, J.; Ortiz-Monasterio, I.; Singh, R.P.; Goodin, D.; Poland, J.A. (BioMed Central, 2016)
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Article
Canopy temperature and vegetation indices from high-throughput phenotyping improve accuracy of pedigree and genomic selection for grain yield in wheat
Rutkoski, J.; Poland, J.A.; Mondal, S.; Autrique, E.; Gonzalez-Perez, L.; Crossa, J.; Reynolds, M.P.; Singh, R.G. (Genetics Society of America, 2016)
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Article
Estimation of physiological genomic estimated breeding values (PGEBV) combining full hyperspectral and marker data across environments for grain yield under combined heat and drought stress in tropical maize (Zea mays L.)
Trachsel, S.; Dhliwayo, T.; Gonzalez-Perez, L.; Mendoza Lugo, J.A.; Trachsel, M. (Public Library of Science, 2019)
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Article
Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper‑spectral image data
Montesinos-Lopez, A.; Montesinos-Lopez, O.A.; Cuevas, J.; Mata-López, W.A.; Burgueño, J.; Mondal, S.; Huerta-Espino, J.; Singh, R.P.; Autrique, E.; Gonzalez-Perez, L.; Crossa, J. (BioMed Central, 2017)
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Article
High throughput field phenotyping for plant height using UAV-based RGB imagery in wheat breeding lines: feasibility and validation
Volpato, L.; Pinto Espinosa, F.; Gonzalez-Perez, L.; Thompson, I.G.; Borém, A.; Reynolds, M.P.; Gerard, B.; Molero, G.; Rodrigues, F. (Frontiers, 2021)
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Article
High-resolution airborne hyperspectral imagery for assessing yield, biomass, grain N concentration, and N output in spring wheat
Raya-Sereno, M.D.; Ortiz-Monasterio, I.; Alonso-Ayuso, M.; Rodrigues, F.; Rodríguez, A.A.; Gonzalez-Perez, L.; Quemada, M. (MDPI, 2021)
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Article
Hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat
Krause, M.; Gonzalez-Perez, L.; Crossa, J.; Perez-Rodriguez, P.; Montesinos-Lopez, O.A.; Singh, R.P.; Dreisigacker, S.; Poland, J.A.; Rutkoski, J.; Sorrells, M.E.; Gore, M.A.; Mondal, S. (Genetics Society of America, 2019)
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Article
Integrating genomic-enabled prediction and high-throughput phenotyping in breeding for climate-resilient bread wheat
Juliana, P.; Montesinos-Lopez, O.A.; Crossa, J.; Mondal, S.; Gonzalez-Perez, L.; Poland, J.A.; Huerta-Espino, J.; Crespo Herrera, L.A.; Velu, G.; Dreisigacker, S.; Shrestha, S.; Perez-Rodriguez, P.; Pinto Espinosa, F.; Singh, R.P. (Springer, 2019)
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Article
Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data
Montesinos-Lopez, O.A.; Montesinos-Lopez, A.; Crossa, J.; De los Campos, G.; Alvarado Beltrán, G.; Mondal, S.; Rutkoski, J.; Gonzalez-Perez, L.; Burgueño, J. (BioMed Central, 2017)
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Article
Stay-green and associated vegetative indices to breed maize adapted to heat and combined Heat-Drought Stresses
Cerrudo, D.; Gonzalez-Perez, L.; Mendoza, A.; Trachsel, S. (MDPI, 2017)
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Article
Use of hyperspectral image data outperforms vegetation indices in prediction of maize yield
Aguate, F.M.; Trachsel, S.; Gonzalez-Perez, L.; Burgueño, J.; Crossa, J.; Balzarini, M.; Gouache, D.; Bogard, M.; De los Campos, G. (Crop Science Society of America (CSSA), 2017)