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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 JA, Trachsel M. Trachsel S, et al. Among authors: gonzalez perez l. PLoS One. 2019 Mar 20;14(3):e0212200. doi: 10.1371/journal.pone.0212200. eCollection 2019. PLoS One. 2019. PMID: 30893307 Free PMC article.
Integrating genomic-enabled prediction and high-throughput phenotyping in breeding for climate-resilient bread wheat.
Juliana P, Montesinos-López OA, Crossa J, Mondal S, González Pérez L, Poland J, Huerta-Espino J, Crespo-Herrera L, Govindan V, Dreisigacker S, Shrestha S, Pérez-Rodríguez P, Pinto Espinosa F, Singh RP. Juliana P, et al. Among authors: gonzalez perez l. Theor Appl Genet. 2019 Jan;132(1):177-194. doi: 10.1007/s00122-018-3206-3. Epub 2018 Oct 19. Theor Appl Genet. 2019. PMID: 30341493 Free PMC article.
Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper-spectral image data.
Montesinos-López A, Montesinos-López OA, Cuevas J, Mata-López WA, Burgueño J, Mondal S, Huerta J, Singh R, Autrique E, González-Pérez L, Crossa J. Montesinos-López A, et al. Among authors: gonzalez perez l. Plant Methods. 2017 Jul 27;13:62. doi: 10.1186/s13007-017-0212-4. eCollection 2017. Plant Methods. 2017. PMID: 28769997 Free PMC article.
Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data.
Montesinos-López OA, Montesinos-López A, Crossa J, de Los Campos G, Alvarado G, Suchismita M, Rutkoski J, González-Pérez L, Burgueño J. Montesinos-López OA, et al. Among authors: gonzalez perez l. Plant Methods. 2017 Jan 3;13:4. doi: 10.1186/s13007-016-0154-2. eCollection 2017. Plant Methods. 2017. PMID: 28053649 Free PMC article.