| Use of hyperspectral image data outperforms vegetation indices in prediction of maize yield FM Aguate, S Trachsel, LG Pérez, J Burgueño, J Crossa, M Balzarini, ... Crop Science 57 (5), 2517-2524, 2017 | 66 | 2017 |
| Dynamics of Fatty Acids, Tocopherols and Phenolic Compounds Biogenesis During Olive (Olea europaea L.) Fruit Ontogeny R Bodoira, M Torres, P Pierantozzi, F Aguate, A Taticchi, M Servili, ... Journal of the American Oil Chemists' Society 93, 1289-1299, 2016 | 26 | 2016 |
| Climatic thresholds for concentrations of minerals and heavy metals in Argentinean soybean CG Marioli Nobile, M Balzarini, FM Aguate, NR Grosso, DO Soldini, ... Agronomy Journal 108 (2), 532-539, 2016 | 15 | 2016 |
| Análisis de la variabilidad espacial en lotes agrícolas M Córdoba, C Bruno, F Aguate, M Tablada, M Balzarini Manual de buenas prácticas agrícolas. Ed. Balzarini M. Eudecor, Córdoba …, 2014 | 15 | 2014 |
| Effect of missing values on variance component estimates in multienvironment trials F Aguate, J Crossa, M Balzarini Crop Science 59 (2), 508-517, 2019 | 12 | 2019 |
| A global multicohort study to map subcortical brain development and cognition in infancy and early childhood AM Alex, F Aguate, K Botteron, C Buss, YS Chong, SR Dager, KA Donald, ... Nature neuroscience 27 (1), 176-186, 2024 | 3 | 2024 |
| Leveraging data from the Genomes-to-Fields Initiative to investigate genotype-by-environment interactions in maize in North America M Lopez-Cruz, FM Aguate, JD Washburn, N de Leon, SM Kaeppler, ... Nature Communications 14 (1), 6904, 2023 | 3 | 2023 |
| Genomes to fields 2022 maize genotype by environment prediction competition DC Lima, JD Washburn, JI Varela, Q Chen, JL Gage, MC Romay, ... BMC Research Notes 16 (1), 148, 2023 | 3 | 2023 |
| Mapping pleiotropic loci using a fast-sequential testing algorithm FM Aguate, AI Vazquez, TR Merriman, G de Los Campos European Journal of Human Genetics 29 (12), 1762-1773, 2021 | 2 | 2021 |
| Estabilidad interanual del rendimiento de cultivares de trigo en la RET INASE de INTA Balcarce durante las campañas 2014/15 a 2017/18 PE Abbate, E Del Vecchio, FM Aguate, M Balzarini | 2 | 2017 |
| Genetic and environmental factors influencing neonatal resting-state functional connectivity R Blanchett, Y Chen, F Aguate, K Xia, E Cornea, SA Burt, ... Cerebral Cortex 33 (8), 4829-4843, 2023 | 1 | 2023 |
| FastMapping: software para mapeo de variabilidad en dominios espaciales continuos M Córdoba, P Paccioretti, C Bruno, F Aguate, M Balzarini IX Congreso Argentino de AgroInformática (CAI 2017)-JAIIO 46-CLEI 43 …, 2017 | 1 | 2017 |
| Estabilidad del rendimiento interanual en INTA Balcarce, campañas 2013/14 a 2016/17 PE Abbate, FM Aguate, E Del Vecchio, M Balzarini INTA, EEA Balcarce, versión digital. t. ly/N4lQ, 2017 | 1 | 2017 |
| Desarrollo de herramientas estadístico-computacionales para el análisis de ensayos agrícolas multiambientales FM Aguate | 1 | 2017 |
| 460 Changes in Lipid Profiles with Progression of Pregnancy in Black Women N Saadat, F Aguate, A Nowak, S Hyer, T Lydic, G de los Campos, ... Journal of Clinical and Translational Science 8 (s1), 135-136, 2024 | | 2024 |
| Leveraging Data from the Genomes to Fields Initiative to Investigate G× E in Maize in North America M Lopez-Cruz, F Aguate, J Washburn, N de Leon, S Kaeppler, DC Lima, ... | | 2023 |
| MUESTRARIO DE APLICACIONES BIOESTADÍSTICAS PARA EDUCACION A DISTANCIA CI Bruno, M Tablada, L Gonzalez, M Córdoba, I Teich, A Peña, M Piccardi, ... Décimo Congreso Latinoamericano de Sociedades de Estadística, 2012 | | 2012 |
| Use of High-Resolution Image Data Outperforms Vegetation Indices in Prediction of Maize Yield: Supplementary Methods F Aguate, S Trachsel, L González-Pérez, J Burgueño, J Crossa, ... CIMMYT Research Data & Software Repository Network, 0 | | |
