Assessment of NASA/POWER satellite‐based weather system for Brazilian conditions and its impact on sugarcane yield simulation LA Monteiro, PC Sentelhas, GU Pedra International Journal of Climatology 38 (3), 1571-1581, 2018 | 131 | 2018 |
Potential and actual sugarcane yields in Southern Brazil as a function of climate conditions and crop management LA Monteiro, PC Sentelhas Sugar Tech 16, 264-276, 2014 | 69 | 2014 |
Can preferential credit programs speed up the adoption of low-carbon agricultural systems in Mato Grosso, Brazil? Results from bioeconomic microsimulation M Carauta, E Latynskiy, J Mössinger, J Gil, A Libera, A Hampf, L Monteiro, ... Regional environmental change 18, 117-128, 2018 | 59 | 2018 |
Sugarcane yield gap: can it be determined at national level with a simple agrometeorological model? LA Monteiro, PC Sentelhas Crop and Pasture Science 68 (3), 272-284, 2017 | 43 | 2017 |
Choosing pasture maps: An assessment of pasture land classification definitions and a case study of Brazil J Oliveira, EE Campbell, RAC Lamparelli, GKDA Figueiredo, JR Soares, ... International Journal of Applied Earth Observation and Geoinformation 93, 102205, 2020 | 27 | 2020 |
Agro-climatic favorability zones for sugarcane orange rust as a tool for cultivar choice and disease management PC Sentelhas, DL dos Santos, LA Monteiro, AR Soares-Colletti, ... Crop Protection 84, 88-97, 2016 | 20 | 2016 |
Positive deviant strategies implemented by organic multi-species livestock farms in Europe D Ulukan, M Grillot, M Benoit, G Bernes, B Dumont, MA Magne, ... Agricultural Systems 201, 103453, 2022 | 19 | 2022 |
Mitigation of nitrous oxide emissions in grazing systems through nitrification inhibitors: a meta-analysis JR Soares, BR Souza, AM Mazzetto, MV Galdos, DR Chadwick, ... Nutrient cycling in agroecosystems 125 (3), 359-377, 2023 | 18 | 2023 |
Outdoor thermal comfort: comparison of results of empirical field research and predictive models simulation L Monteiro, MP Alucci Comfort and energy use in buildings. Windsor: Nceub, 2006 | 18 | 2006 |
Calibration and testing of an agrometeorological model for the estimation of soybean yields in different Brazilian regions LA Monteiro, PC Sentelhas Acta Scientiarum. Agronomy 36, 265-272, 2014 | 17 | 2014 |
Yield gap-concepts, definitions and examples. PC Sentelhas, R Battisti, LA Monteiro, YCN Duarte, FA Visses | 15 | 2016 |
Potential and actual sugarcane yields in southern Brazil as a function of climate conditions and crop management. Sugar Tech 16: 264–276 LA Monteiro, PC Sentelhas | 13 | 2014 |
Assessment of yield gaps on global grazed‐only permanent pasture using climate binning LA Monteiro, AM Allee, EE Campbell, LR Lynd, JR Soares, D Jaiswal, ... Global change biology 26 (3), 1820-1832, 2020 | 12 | 2020 |
Procedimentos para quantificação de variáveis para análise termofisiológica L Monteiro, M Alucci Encontro Nacional de Conforto no Ambiente Construído 8, 2005 | 9 | 2005 |
Potential use of data-driven models to estimate and predict soybean yields at national scale in Brazil LA Monteiro, RM Ramos, R Battisti, JR Soares, JC Oliveira, ... International Journal of Plant Production 16 (4), 691-703, 2022 | 8 | 2022 |
Dias trabalháveis para o manejo do solo em função da chuva e da disponibilidade hídrica do solo em diferentes regiões brasileiras LA Monteiro, PC Sentelhas, SMDS Piedade Revista Ambiente & Água 9, 459-475, 2014 | 8 | 2014 |
Modelagem agrometeorológica como base para a definição de ambientes de produção para a cultura da cana-de-açúcar no Estado de São Paulo. 2012. 118 f LA Monteiro Piracicaba: Programa de Pós-Graduação em Física do Ambiente Agrícola …, 2012 | 8 | 2012 |
Procedimentos para quantificação de variáveis para análise termo-fisiológica em espaços abertos L MONTEIRO, M ALUCCI VIII ENCAC, 2005 | 8 | 2005 |
Cenários Climáticos e Produtividade do Algodão no Nordeste do Brasil. Parte II: Simulação Para 2020 a 2080 FDS Silva, RL Costa, RL Rocha, HB Gomes, PV Azevedo, VPR Silva, ... Revista Brasileira de Meteorologia 35, 913-929, 2021 | 7 | 2021 |
Sugarcane yield gap: can it be determined at national level with a simple agrometeorologicalmodel? Crop Pasture Sci 68: 272–284 LA Monteiro, PC Sentelhas | 7 | 2017 |