ABSTRACT This study aimed to evaluate the impact and duration of water stress on coffee growth, grain yield, and uniformity. The experiment was set up on Apr 2015 with water regimes denominated as follows: year-round irrigation with total water replacement (FI 100) and year-round irrigation with a 50 % reduction in total water replacement (FI 50); irrigation with application of water deficit from Apr to Sept with total water replacement (WD1 100) and irrigation with application of water deficit from Apr to Sept with 50 % of total water replacement (WD1 50); irrigation with application of water deficit from June to Sept with total water replacement (WD2 100), irrigation with application of water deficit from June to Sept with 50 % of total water replacement (WD2 50), and rainfed. A mechanized irrigation mobile Lateral Line sprinkler system was used. Irrigation management criterion was based on the climatological water balance and crop coefficients. Morphological variables, productivity, and fruit uniformity were evaluated. The growth variables had higher responses to water deficit treatment, with the highest reductions being recorded in rainfed treatments. The average productivity of the coffee tree in 2019 ranged from 14 to 120 bags ha–1. Even under low water availability, Iapar 59 was the most productive genotype, and E237 was the least productive genotype. Long periods of stress and 50 % reduction in water availability reduced plant productivity. Thus, the use of irrigation to complement rainfall is essential to the sustainability of coffee production systems in the Cerrado. yield 201 follows yearround year round FI 100 5 50) WD1 WD (WD WD2 100, , 50, used coefficients evaluated treatment treatments 1 12 ha1 ha ha–1 genotype E E23 Thus Cerrado 20 10 ha– E2 2

Abstract Evapotranspiration (ET) is one of the most important processes in the hydrologic cycle, constituting the main responsible for water losses at the surface. Several evapotranspiration models use information from surface temperature and vegetation indices captured by remote sensors such as MODIS and LANDSAT to estimate the ETc value. The objective of this study is to apply SSEBop model to estimate ETc of soybean in a field experiment under four water regimes, using high-resolution multispectral and thermal images collected from remotely piloted aircraft (RPA). Surface temperature and NDVI maps were generated as sources for evapotranspiration estimation. From a Python script, spatial variability maps of ETc were generated at different phenological stages of the crop. The quality of the model for ETc estimates was performed by comparing the modeling results with leaf transpiration data measured in the field using an infrared gas analyzer, whose results showed a good correlation (R2 = 0.76). These results demonstrated the possibility of transferring a model originally developed for processing low to medium-resolution satellite images to high-resolution spatial-temporal images acquired by RPA with small adaptations in the original algorithm, generating great potential for new studies on an experimental and field scale. ET (ET cycle value regimes highresolution high resolution RPA. . (RPA) estimation script crop analyzer R2 R (R 0.76. 076 0.76 0 76 0.76) mediumresolution medium spatialtemporal temporal algorithm scale (RPA 07 0.7 7 0.

Resumo A evapotranspiração (ET) é um dos mais importantes processos do ciclo hidrológico, constituindo-se o principal responsável pelas perdas de água na superfície. Vários modelos de evapotranspiração utilizam informações da temperatura da superfície e índices de vegetação captadas por sensores remotos tais como o MODIS e a série LANDSAT para estimar o valor de ETc. O objetivo deste estudo aplicar o modelo SSEBop para estimativa da ETc da soja (Glicine max. L) em um campo experimental submetida a quatro regimes hídricos, utilizando imagens multiespectrais e termais de alta resolução coletadas com uso de aeronave remotamente pilotada. Mapas de temperatura da superfície e NDVI foram gerados como fontes para a estimativa da evapotranspiração. A partir de um script em Python, mapas de variabilidade espacial da ETc foram gerados para diferentes estádios fenológicos da cultura. A qualidade do modelo de estimativas de ETc foi realizada comparando-se os resultados da modelagem com os dados transpiração foliar medida no campo através de um analisador de gases por infravermelho, cujos resultados mostraram boa correlação (R2 = 0,76). Estes resultados demostraram a possibilidade de transferência de um modelo originalmente desenvolvido para processamento de imagens de satélite de baixa a média resolução para imagens de alta resolução espaço temporal adquiridos por RPA a partir de pequenas adaptações no algoritmo original, gerando um grande potencial para novos estudos em escala experimental e de campo. ET (ET hidrológico constituindose constituindo se Glicine max L hídricos pilotada Python cultura comparandose comparando infravermelho R2 R (R 0,76. 076 0,76 . 0 76 0,76) original 07 0,7 7 0,

Resumo: O objetivo deste trabalho foi avaliar a influência do remineralizador de solo finos de mica xisto (FMS) na fisiologia, na produtividade e na qualidade de grãos de soja (Glycine max) em diferentes regimes hídricos (RHs), no Cerrado brasileiro. O experimento foi conduzido em condições de campo durante dois anos, tendo-se utilizado quatro RHs e três tratamentos: mica xisto, adubação convencional e controle. Em 2017 e 2018, foram avaliados os seguintes RHs: RH1, RH2, RH3 e RH4, que correspondiam ao valor médio de 100, 65, 44 e 28% da reposição da evapotranspiração da cultura, respectivamente. A fotossíntese, a condutância estomática, a transpiração, a concentração interna de CO2, o rendimento quântico efetivo do fotossistema II (FSII) (Fv’/Fm’), o rendimento quântico (FSII) (ᶲFSII) e a taxa de transporte de elétrons reduziram em função do avanço da fase fenológica da soja e da redução do RH. A qualidade dos grãos foi afetada apenas pelo RH. O mica xisto foi estatisticamente semelhante à adubação convencional e ao controle em 2017 e 2018. A produtividade reduziu devido à antecipação da idade fenológica da soja e do RH, mas não houve diferenças entre os três tratamentos em 2017 e 2018. A redução da produtividade da soja é atribuída ao fechamento estomático, à perda da capacidade fotoprotetora e aos danos ao maquinário fotossintético causados pela seca.

Abstract: The objective of this work was to evaluate the influence of the soil remineralizer fine-graded mica schist (FMS) on soybean (Glycine max) physiology, yield, and grain quality under different water regimes (WRs) in the Brazilian Cerrado. The experiment was conducted under field conditions for two years, using four WRs and three treatments: mica schist, conventional fertilization, and control. In 2017 and 2018, the following WRs were evaluated: WR1, WR2, WR3, and WR4, corresponding to a mean value of 100, 65, 44, and 28% of crop evapotranspiration replacement, respectively. Photosynthesis, stomatal conductance, transpiration, internal CO2 concentration, effective quantum yield of photosystem II (PSII) (Fv’/Fm’), quantum yield (PSII) (ᶲFSII), and electron transport rate reduced as a function of the advanced phenological stage of soybean and the reduction in WR. Grain quality was only affected by the WR. The mica schist was statistically similar to conventional fertilization and the control in 2017 and 2018. Yield decreased due to the anticipation of soybean phenological age and WR, but there were no differences between the three treatments in 2017 and 2018. The reduction in soybean yield is attributed to stomatal closure, loss of photoprotective capacity, and damage to the photosynthetic machinery caused by drought.

El objetivo de este estudio fue evaluar el efecto de diferentes dosis de nitrógeno y cinco período de muestreo en la biomasa microbiana del complejo suelo - nitrogeno (BMS-N), nitrógeno total (N total) y la relación porcentual de la biomasa microbiana y N total (BMS-N/N total) en un Oxisol cultivado con cebada (Hordeum vulgare L.). El estudio se inició en junio de 2005 en la estación experimental de la Empresa de Pesquisa Agropecuaria (Embrapa-Cerrados), Distrito Federal, Brazil. El experimento se dispuso en bloques al azar con tres repeticiones. Las parcelas recibieron dosis de nitrógeno: 20 - 40 - 80 kg/ha de N más un control sin N, y las subparcelas fueron el periodo de muestro. Las aplicaciones de N se realizaron de la forma siguiente: cinco días después de la siembra (dds) se aplicaron 10 kg/ha y el resto de la dosis se aplicó con fertirrigación en dos dosis 27 y 43 dds. Las muestras de suelo (0-10 cm de profundidad) para determinar BMS-N y N total fueron tomadas, 2 días antes e igual número de días después de la primera fertirrigación y 4 días antes y después de la última, en floración y después de la cosecha. No se encontró efecto de las dosis de N y el período de muestreo en el BMS-N, N total y en la relación BMS-N/N total. Los valores medios de N total fueron más estable en el corto plazo (ciclo de la cultivo) lo que indica que éste no es un buen parámetro para evaluar la dinámica del N y sus transformaciones en el sistema suelo-planta

The aim of this study was to evaluate the effect of different nitrogen doses and five period of sample collection, on soil microbial biomass - nitrogen (SMB-N), total nitrogen (total N) and percentual ratio of the microbial biomass and total N (SMB-N/total N) in a Oxisol cultivated with barley (Hordeum vulgare L.). The experiment was installed in June, 2005, in an area located at Embrapa Cerrados, Federal District. The experimental design was a randomized block, with three replicates. The plots received doses of nitrogen: 20 - 40 - 80 kg ha-1 N and a control without it and the subplots were period of soil sample. Three applications of N were realized: 10 kg ha-1 on the 5th day (06/14) after sowing; the rest of N was parceled in two applications with fertigation, on tillage, on the 27th (07/08) DAP, e no 43rd (07/22) DAP. Soil samples layer (0 - 10 cm deep) were collected for (SMB-N) determination and total N in six periods: 02 days before of the first fertigation; 02 days after of the first fertigation; 04 days before of the last fertigation and 04 days after of the last fertigation; on flowering stage and after harvesting. There was effect of the doses of N and the period of soil collection on the SMB-N, total N and in the ratio SMB-N/total N. The average values of total N revealed steadier in short-term (cycle of the culture) and this was not a good parameter to evaluate the behavior and N transformations in the soil-plant system

Em razão da grande importância do nitrogênio na nutrição mineral das plantas, instalou-se um experimento em condições de campo em um Latossolo Vermelho, no ano agrícola 2005, no campo experimental da Embrapa Cerrados, Planaltina (DF), com o objetivo de realizar a calibração de métodos de determinação desse nutriente no solo para a cultura do trigo. Utilizou-se o delineamento experimental de blocos ao acaso com seis repetições, e os tratamentos foram seis doses de N: 0, 70, 140, 210, 280 e 350 kg ha-1. Amostras de solo das camadas de 0-20 e 20-40 cm foram retiradas, e três diferentes extratores químicos foram utilizados para avaliação da disponibilidade de N no solo. Os maiores coeficientes de determinação, obtidos pela regressão quadrática entre a produtividade do trigo e o N do solo extraído pelos diferentes extratores, foram observados nas análises das amostras da camada de 0-20 cm, de acordo com a seguinte ordem: KCl 2 mol L-1 a 100 °C (R2 = 0,997**) > H2O2/MnO2 (R² = 0,992**) > tampão pH 11,2 + NO3- (R² = 0,985**) > tampão pH 11,2 (R² = 0,960**). Os elevados valores dos coeficientes de determinação indicam que a camada de 0-20 cm é a mais recomendada em análises de rotina de N no solo para o trigo. Considerando a simplicidade de análise e o elevado coeficiente de determinação, o método da solução-tampão pH 11,2 + NO3- pode ser indicado para análise de rotina de N no solo. Os níveis críticos econômicos de N no solo calculados pelos diferentes extratores químicos, para as relações preço do quilograma de N/preço do quilograma do trigo de 5 a 7, foram: 90 a 68 mg kg-1 (H2O2/MnO2), 87 a 66 mg kg-1 (KCl 2M a 100 ºC), 81 a 62 mg kg-1 (tampão pH 11,2 + NO3-) e 64 a 47 mg kg-1 (tampão pH 11,2). Já os níveis críticos calculados pelo método matemático de Cate - Nelson foram: 94 mg kg-1 (H2O2/MnO2), 90 mg kg-1 (KCl 2M a 100 ºC), 82 mg kg-1 (tampão pH 11,2 + NO3-) e 61 mg kg-1 (tampão pH 11,2).

Nitrogen is a plant nutrient of great importance. To determine optimum N levels for wheat, a field trial was carried out in a Red Latosol, during the winter of 2005, at Embrapa Cerrados, Planaltina (DF - Brazil). The experiment was set up in a randomized block design, with six replications and the treatments consisted of six N doses (0, 70, 140, 210, 280 and 350 kg ha-1). Soil samples were collected in the 0-20 cm and 20-40 cm layers and three different chemical extractors were used to estimate N availability. Highest determination coefficients were obtained by a quadratic regression between wheat yield and soil N extracted by the different extractors from samples of the 0-20 cm layer, in the following order: KCl 2 mol L-1 a 100 °C (R2 = 0,997**) > H2O2/MnO2 (R² = 0,992**) > buffer pH 11,2 + NO3- (R² = 0,985**) > buffer pH 11,2 (R² = 0,960**). The high determination coefficients suggest that the 0-20 cm layer is the most appropriate for routine N analysis for wheat. The buffer pH 11.2 + NO3- solution can be recommended for routine N analysis, because of its simplicity and high determination coefficient. The economic critical levels for soil N calculated for the different chemical extractors, at a price ratio of 5 to 7 (kg kg-1 of N wheat) were 90 to 68 mg kg-1 (H2O2/MnO2), 87 to 66 mg kg-1 (KCl 2 mol L-1 at 100 °C), 81 to 62 mg kg-1 (buffer pH 11.2 + NO3-) and 64 to 47 mg kg-1 (buffer pH 11.2). The critical levels calculated by the Cate-Nelson mathematical method were 94 mg kg-1 (H2O2/MnO2), 90 mg kg-1 (KCl 2 mol L-1 at 100 °C), 82 mg kg-1 (buffer pH 11.2 + NO3-) and 61 mg kg-1 (buffer pH 11.2).