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The evapotranspiration tank (TEvap) is a 'zero-discharge' ecotechnology for toilet water disposal. This work refers to a preliminary study to evaluate the influence of forages and the addition of a vertical soil strip on evapotranspiration (ET), electrical conductivity (EC) and pH in TEvap receiving fresh water. The factors studied were the forages and the soil strip, resulting in four treatments with three replications. Two plant growing seasons, cycle 1 and cycle 2, were monitored, during which the variables were measured every three and seven days, respectively. Weather variables were used to estimate the reference evapotranspiration and determine the TEvap coefficient (KTEvap). The accumulated ET for TEvap with Capiaçu was 27.93% and 45.89% greater than for TEvap cultivated with Tifton-85 during the first and second cycles, respectively. There were no significant differences in ET for TEvap with and without the soil strip. BRS Capiaçu also showed lower values for EC and pH. High values were obtained for KTEvap: 2.37 and 1.76 for TEvap cultivated with BRS Capiaçu and Tifton-85 grass, respectively. Considering the period of this study, the minimum area for 'zero-discharge' would be 5.70 m2 inhab-1 and 7.77 m2 inhab-1 by TEvap planted with BRS Capiaçu and Tifton-85 grass, respectively. Due to its greater capacity for evapotranspiration, it can be concluded that the BRS Capiaçu forage is suitable for a 'zero-discharge' constructed wetland systems. It is suggested that further, more-thorough studies be carried out to design a 'zero-discharge' TEvap, considering different weather conditions, crops and inlet toilet water.HIGHLIGHTS Evapotranspiration tank (TEvap) is a 'zero discharge' ecotechnology for disposing toilet water;A preliminary study was conducted to simulate the evapotranspiration in TEvap receiving fresh water;Two forages - Cynodon spp. (Tifton-85 grass) and Pennisetum spp. (BRS Capiaçu) - were cultivated in the tanks;5.70 m2 inhab-1 were estimated for evapotranspiration with BRS Capiaçu and 7.77 m2 inhab-1 with Tifton-85 grass.

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The objectives of this study were to use machine learning algorithms to establish a model for estimating the evapotranspiration fraction (ETf) using two data input scenarios from the spectral information of the Sentinel-2 constellation, and to analyze the temporal and spatial applicability of the models to estimate the actual evapotranspiration (ETr) in agricultural crops irrigated by center pivots. The spectral bands of Sentinel 2A and 2B satellite and vegetation indices formed the first scenario. The second scenario was formed by performing the normalized ratio procedure between bands (NRPB) and joining the variables applied in the first scenario. The models were generated to predict the ETf using six regression algorithms and then compared with ETf calculated by the Simple Algorithm For Evapotranspiration Retrieving (SAFER) algorithm, was considered as the standard. The results possible to select the best model, which in both scenarios was Cubist. Subsequently, ETf was estimated only for the center pivots present in the study area and the classification of land use and cover was accessed through the MapBiomas product. Land use was necessary to enable the calculation of ETr in each scenario, in the center pivots with sugarcane and soybean crops. ETr was estimated using two ETo approaches (EToBrazil and Hargreaves-Samani). It was found that the Hargreaves-Samani equation overestimated ETr with higher errors mainly for center pivots with sugarcane, where systematic error (MBE) ranged from 0.89 to 2.02 mm d-1. The EToBrazil product, on the other hand, presented statistical errors with MBE values ranging from 0.00 to 1.26 mm d-1 for both agricultural crops. Based on the results obtained, it is observed that the ETr can be monitored spatially and temporally without the use of the thermal band, which causes the estimation of this parameter to be performed with greater temporal frequency.

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The key to maintaining a clay court with quality and lastingly is through water applications, carried out periodically and through systems with high distribution uniformity, developed specifically for this purpose. The objective in this study was to evaluate the performance of a sprinkler irrigation system with hose and shower, traditionally used in clay tennis court, and propose another low-cost system that is operational and technically feasible, which is the irrigating bar. For each irrigation system, three evaluations were performed. At the beginning of each test, the pressures and flow rates of the emitters were measured, and the water distribution profile method was used to determine the distribution uniformity of the systems. Distribution efficiency was obtained through the Christiansen's (UC), distribution (UD), absolute (UA), statistical (US) and Hart's (UH) uniformity coefficients, HSPA standard efficiency (UHSPA) and, coefficient of variation (CV). Subsequently, the application and irrigation efficiencies were calculated. It was found that the irrigation bar required lower operating pressure, as well as greater stability of pressure and flow in relation to the hose system. Water losses in the hose/shower system (22.0%) were higher than in the irrigation bar (0.6%). Regardless of the evaluated system, UC (68.4% and 86.5%) and UH (66.4% and 87.5%) values were similar and higher than those of the other coefficients (~51.8% and ~81.2%). The collected depths, applied by the hose/shower irrigation system, showed high spatial variability and, consequently, low values of uniformity, being classified as poor or unacceptable. The irrigating bar promoted higher values of uniformity coefficients, being classified as good. Irrigation efficiencies were 53.97 and 85.97% for hose/shower and irrigation bar systems, respectively. The hose/shower system has low performance in the irrigation of clay tennis courts. The irrigation bar system, for providing technical, operational, and economic benefits, and has the potential to be used in the irrigation of clay tennis courts.

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Soccer field grass can be compared to highly sensitive crops regarding water deficit and must be irrigated throughout the year to provide decent conditions for use. For this, efficient irrigation systems are necessary to save water and energy, and this is possible, provided that they are evaluated. Therefore, this paper evaluated the water distribution uniformity, by different methodologies, for an irrigation system installed in a grass soccer field. Also, the influences of multiple spacings between sprinklers and meteorological factors on the final results were assessed. The irrigation system had Falcon 6504 sprinklers, operating at the pressure of 320 kPa. Six field essays were conducted considering overlaying water depths originated from the same irrigation system considering spacings between sprinklers varying from 6 m x 6 m, 6 m x 9 m, 9 m x 9 m, 9 m x 12 m, 12 m x 12 m, 12 m x 15 m, 15 m x 15 m, 15 m x 18 m, 18 m x 18 m, 18 m x 21 m, 21 m x 21 m, 21 m x 24 m, 24 m x 24 m, 24 m x 27 m, 27 m x 27 m, 27 m x 30 m and 30 m x 30 m. The uniformity coefficients used were: Christiansen uniformity coefficient (CU), distribution uniformity coefficient (DU), absolute uniformity coefficient (UA), statistical uniformity coefficient (US), Hart uniformity coefficient (UH) and HSPA standard efficiency (UHSPA). Meteorological data were obtained during the essays. Wind speed caused reduction in the length of the water jet applied by the sprinkler and also caused a bigger effect on the water distribution uniformity. Both CU and UH showed higher values compared to the other coefficients. The increase in the spacing between the sprinklers resulted in reduced water distribution coefficients. To comply with technical and economic criteria, an arrangement of 12 m x 15 m between the Falcon 6504 sprinklers, operating at a 320 kPa pressure, is recommended.

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This study aimed to evaluate in the papaya Tainung genotype, the effects of partial root-zone drying (PRD) technique on soil water regimes by using different frequencies of shifting irrigation-side of plant row and the effects of PRD technique on (1) crop agronomic performance, (2) titratable fruit acidity (TA), (3) total soluble solids (TSS), and TSS/TA ratio. Also, we analyze the spatial dynamic of papaya condition using normalized difference vegetation index (NDVI) from different satellite images. The study was conducted in the semi-arid region of Bahia (BA) and Minas Gerais (MG), Brazil. The combination of 100% (Full irrigation-FU), 50%, and 35% in the irrigation depth (WID) and frequencies of shifting plant-row side irrigation of 0 (Fixed Irrigation-FX), 7, 14, and 21 days were applied. Nine treatments were studied in BA and five in MG. The water available in the soil was reduced to 44% for frequencies of shifting plant-row side irrigation of 7 days, 50% for 14 days, and 85% for 21 days, compared to the soil water availability at field capacity. Partial water deficit in the soil through the PRD technique did not significantly reduce the total root length, effective root depth, and root effective horizontal distance of the papaya Tainung genotype. However, PRD treatments showed leaf abscission, which resulted in reduced leaf area and NDVI values, especially in the MG experiment. Papaya yield and fruit quality were not affected. However, except for PRD 21 35%, irrigation water depth reduced to 50 and 35% under PRD increased crop water productivity (CWP) in papaya plants. Thus, the PRD technique may save 35% of WID using the alternation of lateral shift irrigation of crop row every 7 days under water scarcity in semi-arid regions. The NDVI index was important to compare the papaya canopy vigor between the experimental areas studied. We also confirmed the potential of NDVI to monitor the vigor of papaya canopy, since we could notice the sensibility of NDVI to identify water stress in papaya in higher vapor pressure deficit (VPD) conditions occurred in October 2016 and January 2017 in Bom Jesus da Lapa-BA. Therefore, the PRD strategy can be a useful tool to save water in papaya cultivation under semi-arid conditions.

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Sugarcane has alarge capacity for producing electricity using completely clean technology from a renewable source, contributing to environmental preservation. This study aimed to evaluate the increase in biomass resulting from the implementation of irrigation in Brazilian sugarcane plantations, estimate the potential for cogeneration, and calculate how much it will be possible to increase the Brazilian energy cogenerated with sugarcane bagasse and the impact on the Brazilian energy matrix. The increase in irrigation in the rainfed areas of Brazilian sugarcane plantations has substantial potential in increasing biomass for energy cogeneration. Considering an increase of 15% in the sugarcane plantation yields in rainfed areas achieved by the increase in irrigation, it leadsto a potential increase of 96.39 million tons of sugarcane and 26.80 million tons biomass produced. In the energy matrix, the potential impact is 1.42 GWh of cogenerated energy, which corresponds to a 12.47% increase in cogeneration in the sugar-energy sector and a 0.85% increase in Brazil's energy matrix. The expansion of the sugarcane irrigated area contributes to the increase in the production of bagasse and bioenergetic generation in Brazil.

A cana-de-açúcar tem grande capacidade de produção de energia elétrica com tecnologia totalmente limpa, de fonte renovável, contribuindo com a preservação ambiental. O objetivo da presente pesquisa foi avaliar o incremento de biomassa advinda da implantação de irrigação nos canaviais brasileiros, estimar o potencial de cogeração, e calcular o quanto será possível aumentar a energia brasileira cogerada com bagaço de cana-de-açúcar e o impacto na matriz energética brasileira. O incremento de irrigação nas áreas de sequeiros dos canaviais brasileiros tem um potencial substancial no incremento de biomassa para a cogeração de energia.Considerando um aumento de 15% na produção dos canaviais das áreas de sequeiro, conquistados a partir do incremento de irrigação, ocasiona em um potencial de aumento de 96,39 milhões de toneladas de cana-de-açúcar e 26,80 milhões de toneladas de biomassa produzida. Na matriz energética, o impacto potencial é de 1,42 GWh de energia cogerada que corresponde a 12,47% de aumento de cogeração no setor sucroenergético e 0,85% de aumento na matriz energética do Brasil. A expansão da área irrigada de cana-de-açúcar contribui com o aumento da produção de bagaço e geração bioenergética do Brasil.

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Sugarcane has alarge capacity for producing electricity using completely clean technology from a renewable source, contributing to environmental preservation. This study aimed to evaluate the increase in biomass resulting from the implementation of irrigation in Brazilian sugarcane plantations, estimate the potential for cogeneration, and calculate how much it will be possible to increase the Brazilian energy cogenerated with sugarcane bagasse and the impact on the Brazilian energy matrix. The increase in irrigation in the rainfed areas of Brazilian sugarcane plantations has substantial potential in increasing biomass for energy cogeneration. Considering an increase of 15% in the sugarcane plantation yields in rainfed areas achieved by the increase in irrigation, it leadsto a potential increase of 96.39 million tons of sugarcane and 26.80 million tons biomass produced. In the energy matrix, the potential impact is 1.42 GWh of cogenerated energy, which corresponds to a 12.47% increase in cogeneration in the sugar-energy sector and a 0.85% increase in Brazil's energy matrix. The expansion of the sugarcane irrigated area contributes to the increase in the production of bagasse and bioenergetic generation in Brazil.(AU)

A cana-de-açúcar tem grande capacidade de produção de energia elétrica com tecnologia totalmente limpa, de fonte renovável, contribuindo com a preservação ambiental. O objetivo da presente pesquisa foi avaliar o incremento de biomassa advinda da implantação de irrigação nos canaviais brasileiros, estimar o potencial de cogeração, e calcular o quanto será possível aumentar a energia brasileira cogerada com bagaço de cana-de-açúcar e o impacto na matriz energética brasileira. O incremento de irrigação nas áreas de sequeiros dos canaviais brasileiros tem um potencial substancial no incremento de biomassa para a cogeração de energia.Considerando um aumento de 15% na produção dos canaviais das áreas de sequeiro, conquistados a partir do incremento de irrigação, ocasiona em um potencial de aumento de 96,39 milhões de toneladas de cana-de-açúcar e 26,80 milhões de toneladas de biomassa produzida. Na matriz energética, o impacto potencial é de 1,42 GWh de energia cogerada que corresponde a 12,47% de aumento de cogeração no setor sucroenergético e 0,85% de aumento na matriz energética do Brasil. A expansão da área irrigada de cana-de-açúcar contribui com o aumento da produção de bagaço e geração bioenergética do Brasil.(AU)

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Reference evapotranspiration (ETo) is a fundamental parameter for hydrological studies and irrigation management. The Penman-Monteith method is the standard to estimate ETo and requires several meteorological elements. In developing countries, the number of weather stations is insufficient. Thus, free products of remote sensing with evapotranspiration information must be used for this purpose. In this context, the objective of this study was to estimate monthly ETo from potential evapotranspiration (PET) made available by MOD16 product. In this study, the monthly ETo estimated by Penman-Monteith method was considered as the standard. For this, data from 265 weather station of the National Institute of Meteorology (INMET), spread all over the Brazilian territory, were acquired for the period from 2000 to 2014 (15 years). For these months, monthly PET values from MOD16 product for all Brazil were also downloaded. By using machine learning algorithms and information from WorldClim as covariates, ETo was estimated through images from the MOD16 product. To perform the modeling of ETo, eight regression algorithms were tested: multiple linear regression; random forest; cubist; partial least squares; principal components regression; adaptive forward-backward greedy; generalized boosted regression and generalized linear model by likelihood-based boosting. Data from 2000 to 2012 (13 years) were used for training and data of 2013 and 2014 (2 years) were used to test the models. The PET made available by the MOD16 product showed higher values than those of ETo for different periods and climatic regions of Brazil. However, the MOD16 product showed good correlation with ETo, indicating that it can be used in ETo estimation. All models of machine learning were effective in improving the performance of the metrics evaluated. Cubist was the model that presented the best metrics for r2 (0.91), NSE (0.90) and nRMSE (8.54%) and should be preferred for ETo prediction. MOD16 product is recommended to be used to predict monthly ETo, which opens possibilities for its use in several other studies.

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Alternative models for the estimation of reference evapotranspiration (ETo) are typically assessed using traditional error metrics, such as root mean square error (RMSE), which may not be sufficient to select the best model for irrigation scheduling purposes. Thus, this study analyzes the performance of the original and calibrated Hargreaves-Samani (HS), Romanenko (ROM) and Jensen-Haise (JH) equations, initially assessed using traditional error metrics, for use in irrigation scheduling, considering the simulation of different irrigation intervals/time scales. Irrigation scheduling was simulated using meteorological data collected in Viçosa-MG and Mocambinho-MG, Brazil. The Penman-Monteith FAO-56 equation was used as benchmark. In general, the original equations did not perform well to estimate ETo, except the ROM and HS equations used at Viçosa and Mocambinho, respectively. Calibration and the increase in the time scale provided performance gains. When applied in irrigation scheduling, the calibrated HS and JH equations showed the best performances. Even with greater errors in estimating ETo, the calibrated HS equation performed similarly or better than the calibrated JH equation, as it had errors with greater potential to be canceled during the soil water balance. Finally, in addition to using error metrics, the performance of the models throughout the year should be considered in their assessment. Furthermore, simulating the application of ETo models in irrigation scheduling can provide valuable information for choosing the most suitable model.

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This study proposes to estimate the actual crop evapotranspiration, using the SAFER model, as well as calculate the crop coefficient (Kc) as a function of the normalized difference vegetation index (NDVI) and determine the biomass of an irrigated maize crop using images from the Operational Land Imager (OLI) and Thermal Infrared (TIRS) sensors of the Landsat-8 satellite. Pivots 21 to 26 of a commercial farm located in the municipalities of Bom Jesus da Lapa and Serra do Ramalho, west of Bahia State, Brazil, were selected. Sowing dates for each pivot were arranged as North and South or East and West, with cultivation starting firstly in one of the orientations and subsequently in the other. The relationship between NDVI and the Kc values obtained in the FAO-56 report (KcFAO) revealed a high coefficient of determination (R2 = 0.7921), showing that the variance of KcFAO can be explained by NDVI in the maize crop. Considering the center pivots with different planting dates, the crop evapotranspiration (ETc ) pixel values ranged from 0.0 to 6.0 mm d-1 during the phenological cycle. The highest values were found at 199 days of the year (DOY), corresponding to around 100 days after sowing (DAS). The lowest BIO values occur at 135 DOY, at around 20 DAS. There is a relationship between ETc and BIO, where the DOY with the highest BIO are equivalent to the days with the highest ETc values. In addition to this relationship, BIO is strongly influenced by soil water availability.(AU)

Objetivou-se com o presente estudo estimar a evapotranspiração real da cultura por meio do modelo SAFER, calcular o Kc em função do NDVI e a biomassa da cultura do milho irrigado, utilizando para isso imagens dos sensores Operacional Land Imager (OLI) e Thermal Infrared Sensor (TIRS) do satélite Landsat-8. Foram selecionados os pivôs 21 ao 26 de uma fazenda comercial localizada nos municípios de Bom Jesus da Lapa e Serra do Ramalho, situadas no oeste do estado da Bahia, Brasil. As épocas de semeadura dentro dos pivôs são ordenadas em Norte e Sul ou Leste e Oeste, iniciando o cultivo primeiro em uma das orientações e posteriormente na outra. Verifica-se com base na relação entre NDVI e KcFAO, um alto valor do coeficiente de determinação (R2=0,7921), evidenciando que a variância do KcFAO pode ser explicada pelo NDVI na cultura do milho. Considerando-se os pivôs centrais com diferentes datas de plantio, os valores dos pixels da ETc variaram de 0,0 a 6,0 mm d-1 durante o ciclo fenológico. Os maiores valores foram encontrados para o DOY 199, correspondendo ao DAS em torno de 100 dias. Os valores mais baixos da BIO ocorrem aos 135 DOY em torno de 20 DAS. É observado que existe uma relação entre a ETc e BIO, os DOY mais elevados da BIO são equivalentes com os maiores valores de ETc . Além desta relação, a BIO é fortemente influenciada pela disponibilidade hídrica no solo.(AU)

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SAFER (Simple Algorithm for Evapotranspiration Retrieving) is a relatively new algorithm applied successfully to estimate actual crop evapotranspiration (ET) at different spatial scales of different crops in Brazil. However, its use for monitoring irrigated crops is scarce and needs further investigation. This study assessed the performance of SAFER to estimate ET of irrigated corn in a Brazilian semiarid region. The study was conducted in São Desidério, Bahia State, Brazil, in corn-cropped areas in no-tillage systems and irrigated by central pivots. SAFER algorithm with original regression coefficients (a = 1.8 and b = -0.008) was initially tested during the growing seasons of 2014, 2015, and 2016. SAFER performed very poorly for estimating corn ET, with RMSD values greater than 1.18 mm d-¹ for 12 fields analyzed and NSE values 0 in most fields. To improve estimates, SAFER regression coefficients were calibrated (using 2014 and 2015 data) and validated with 2016 data, with the resulting coefficients a and b equal to 0.32 and -0.0013, respectively. SAFER performed well for ET estimation after calibration, with r² and NSE values equal to 0.91 and RMSD = 0.469 mm d-¹. SAFER also showed good performance (r² = 0.86) after validation, with the lowest RMSD (0.58 mm d-¹) values for the set of 14 center pivots in this growing season. The results support the use of calibrated SAFER algorithm as a tool for estimating water consumption in irrigated corn fields in semiarid conditions.(AU)

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SAFER (Simple Algorithm for Evapotranspiration Retrieving) is a relatively new algorithm applied successfully to estimate actual crop evapotranspiration (ET) at different spatial scales of different crops in Brazil. However, its use for monitoring irrigated crops is scarce and needs further investigation. This study assessed the performance of SAFER to estimate ET of irrigated corn in a Brazilian semiarid region. The study was conducted in São Desidério, Bahia State, Brazil, in corn-cropped areas in no-tillage systems and irrigated by central pivots. SAFER algorithm with original regression coefficients (a = 1.8 and b = -0.008) was initially tested during the growing seasons of 2014, 2015, and 2016. SAFER performed very poorly for estimating corn ET, with RMSD values greater than 1.18 mm d-¹ for 12 fields analyzed and NSE values 0 in most fields. To improve estimates, SAFER regression coefficients were calibrated (using 2014 and 2015 data) and validated with 2016 data, with the resulting coefficients a and b equal to 0.32 and -0.0013, respectively. SAFER performed well for ET estimation after calibration, with r² and NSE values equal to 0.91 and RMSD = 0.469 mm d-¹. SAFER also showed good performance (r² = 0.86) after validation, with the lowest RMSD (0.58 mm d-¹) values for the set of 14 center pivots in this growing season. The results support the use of calibrated SAFER algorithm as a tool for estimating water consumption in irrigated corn fields in semiarid conditions.

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Droughts are major natural disasters that affect many parts of the world all years and recently affected one of the major conilon coffee-producing regions of the world in state of Espírito Santo, which caused a huge crisis in the sector. Therefore, the objective of this study was to conduct an analysis with technical-scientific basis of the real impact of drought associated with high temperatures and irradiances on the conilon coffee (Coffea canephora Pierre ex Froehner) plantations located in the north, northwest, and northeast regions of the state of Espírito Santo, Brazil. Data from 2010 to 2016 of rainfall, air temperature, production, yield, planted area and surface remote sensing were obtained from different sources, statistically analyzed, and correlated. The 2015/2016 season was the most affected by the drought and high temperatures (mean annual above 26 °C) because, in addition to the adverse weather conditions, coffee plants were already damaged by the climatic conditions of the previous season. The increase in air temperature has higher impact (negative) on production than the decrease in annual precipitation. The average annual air temperatures in the two harvest seasons that stood out for the lowest yields (i.e. 2012/2013 and 2015/2016) were approximately 1 °C higher than in the previous seasons. In addition, in the 2015/2016 season, the average annual air temperature was the highest in the entire series. The spatial and temporal distribution of Enhanced Vegetation Index values enabled the detection and perception of droughts in the conilon coffee-producing regions of Espírito Santo. The rainfall volume accumulated in the periods from September to December and from April to August are the ones that most affect coffee yield. The conilon coffee plantations in these regions are susceptible to new climate extremes, as they continue to be managed under irrigation and full sun. The adoption of agroforestry systems and construction of small reservoirs can be useful to alleviate these climate effects, reducing the risk of coffee production losses and contributing to the sustainability of crops in Espírito Santo.

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Although intensively studied, few works had looked into S. pennellii's ability to cope with water-deficit conditions from a breeding point of view. In this study, we assessed potential traits of S. pennellii, that had previously been linked to high yields in other plant species, under long-term water-limited conditions and made a parallel with plant yield. For this purpose, the drought-resistant tomato genotypes IL 3-5 and IL 10-1, and the drought-sensitive IL 2-5 and IL 7-1 at seed level, together with both parents the S. pennellii accession LA 716 and the cultivar M82 were kept at 50 and 100% ASW throughout the growing season. Our findings confirm the superiority of LA 716 under water-limited conditions compared to the other S. lycopersicum genotypes in terms of plant water status maintenance. Percentual reduction on plant yield was higher in IL 3-5 and IL 10-1 than in M82 plants, indicating no correlation between drought resistance on germination and plant productive stages. A strong positive correlation was found between fruit yield and A, gs, and Ψleaf at 50% ASW, suggesting these traits as important selection criteria. LT and gmin, LA 716's most promising traits, did not show a linear correlation with fruit yield under low water regimes. This study unravels traits behind tomato performance under water-limited conditions and should work as guidance for breeders aiming at developing drought-resistant tomato cultivars.

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Recycled paper has the potential to be used as a mulch for vegetable production and can be adopted for the cultivation of Italian zucchini. However, there have been no studies about the water savings or crop coefficient values used in irrigation management in this system; therefore, there is a need for more research. In view of the above, this study aimed to evaluate the effects of recycled paper mulch on evaporation and evapotranspiration in Italian zucchini and to determine the crop coefficients in its developmental stages. The study was carried out in two cultivation cycles conducted at the Lysimetric Station in Viçosa, MG, Brazil. The experiments were installed in a randomized block design with four replicates. Four lysimeter cultivation treatments were applied: without mulch (C); with recycled paper as mulch (CP); with only recycled paper (P); and with Bahia grass (G). Irrigation and drainage measurements were performed daily to calculate the crop and reference evapotranspiration, and thus the crop coefficient (Kc) values. The following characteristics were evaluated: fruit yield, NDVI and water productivity. For the cultivation of Italian zucchini using paper as mulch, Kc values of 0.54, 0.77 and 0.44 and Kcb values of 0.15, 0.45 and 0.18 are recommended for the initial, intermediate and final stages, respectively. NDVI can be used to estimate the Kc values for Italian zucchini. The use of recycled paper as mulch reduces the water consumption of Italian zucchini.

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Considering the scenarios with reduction of water availability, the need to increase water use efficiency and crop yield, the objective of this study was to evaluate the effect of reducing the evapotranspiration of the main irrigated crops on productivity. Data from the years 2005 to 2016 for carrot, garlic, potato, sugarcane, bean, maize, soybean, wheat, coffee and cotton crops grown in the Brazilian states of Bahia, Minas Gerais, São Paulo, Goiás, Distrito Federal and Mato Grosso were collected. The crops were irrigated by central-pivot irrigation and drip irrigation systems, and irrigation management was performed using IRRIGER® software. With the information on potential crop evapotranspiration (ETpc) and crop evapotranspiration (ETc), it was possible to obtain a reduction of ETpc (%) for all crops. For all scenarios, these data were confronted with crop productivity and regression models were fitted. It was concluded that the maximum reductions of ETpc (%) without affecting productivity are 5% for garlic and potato, 12% for maize, 13% for bean, 15% for wheat, 20% for soybean and cotton, 25% for sugarcane and 30% for coffee.

Diante dos cenários com redução da disponibilidade hídrica, necessidade de aumento da eficiência no uso da água e da produtividade das culturas agrícolas, objetivou-se neste trabalho avaliar o efeito da redução da evapotranspiração na produtividade das principais culturas irrigadas. Informações foram coletadas nas safras dos anos de 2005 à 2016 para as culturas da cenoura, alho, batata, cana-de-açúcar, feijão, milho, soja, trigo, café e algodão cultivadas nos estados da Bahia (BA), Minas Gerais (MG), São Paulo (SP), Goiás (GO), Distrito Federal (DF) e Mato Grosso (MT). As culturas foram irrigadas por sistemas de irrigação por pivô central e gotejamento, sendo que os manejos de irrigação foram realizados por meio do software IRRIGER®. Com as informações de evapotranspiração potencial da cultura (ETpc) e evapotranspiração da cultura (ETc) foi possível obter a redução da ETpc (%) para todos os cultivos. Para todos os cenários, estes dados foram confrontados com a produtividade das culturas e modelos de regressão foram ajustados. Concluiu-se que a redução máxima de ETpc (%) sem afetar a produtividade é 5% para o alho e batata, 12% para o milho, 13% para o feijão, 15% para o trigo, 20% para a soja e algodão, 25% para a cana-de-açúcar e 30% para o café.

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RESUMO

In recent years, many studies have been conducted combining orbital remote sensing data and crop growth models for vegetation monitoring, evapotranspiration estimation and quantification of biophysical parameters, e.g., NDVI, surface temperature, albedo, and biomass. The aim of the present study was to estimate evapotranspiration (ETr), biomass (BIO), and water productivity (WP) for irrigated seed corn crop using the SAFER algorithm and Landsat 8 satellite images. For this, eight cloud-free images were acquired at different phenological stages over the interest area on the United States Geological Survey website and meteorological data. ETr was estimated by the SAFER algorithm, BIO by the Monteith model, and WP by the BIO/ETr ratio. ETr values ranged from 0 to 6 mm d-1, with the highest values coinciding with the period of high vegetative crop vigor, while the lowest values were found at the sowing season. The highest biomass values were observed from images at 46 and 62 days after sowing (DAS), corresponding to 286 and 289 kg ha-1 d-1, respectively. The highest mean of water productivity was observed at 62 DAS, with 6.9 kg m-3 of water, corresponding to the period of maximum vegetative crop vigor. The application of the SAFER model together with Landsat 8 satellite images was an alternative to identifying the spatial and temporal variation of biophysical parameters of the corn crop. It could assist in the management of water in irrigated agriculture and decision making in large-sized farms.(AU)

Nos últimos anos, tem sido realizado muitos estudos que associam dados de sensoriamento remoto orbital e modelos de crescimento de cultura para fins de monitoramento da vegetação, estimativa de evapotranspiração e quantificação de parâmetros biofísicos, por exemplo o NDVI, temperatura da superfície, albedo, biomassa. O objetivo do presente estudo foi estimar a evapotranspiração (ETr), a biomassa (BIO) e a produtividade de água (PA) para a cultura do milho semente irrigado utilizando-se o algoritmo SAFER e imagens do satélite Landsat 8. Para tal, foram adquiridas oito imagens, em diferentes fases fenológica, livre de nuvem sobre a área de interesse no site United States Geological Survey e dados meteorológicos. A ETr foi estimada por meio do algoritmo SAFER, a BIO pelo modelo de Monteith e a PA pela razão BIO/ETr. A ETr apresentou valores variando entre 0 e 6 mm d-1, sendo os maiores valores coincidentes com o período de maior vigor vegetativo da cultura e os menores com a época de semeadura. Os maiores valores de biomassa são notados nas imagens aos 46 e 62 dias após a semeadura (DAS), correspondendo a 286 e 289 kg ha-1 d-1, respectivamente. A maior média da produtividade da água é observado aos 62 DAS, com 6,9 kg m-3 de água, correspondente ao período de máximo vigor vegetativo da cultura. A aplicação do modelo SAFER juntamente com imagens do Satélite Landsat 8 mostrou-se uma alternativa na identificação da variação espacial e temporal dos parâmetros biofísicos da cultura do milho, podendo auxiliar no manejo da água na agricultura irrigada e na tomada de decisão em propriedades agrícolas de grande porte.(AU)

Assuntos

RESUMO

In recent years, many studies have been conducted combining orbital remote sensing data and crop growth models for vegetation monitoring, evapotranspiration estimation and quantification of biophysical parameters, e.g., NDVI, surface temperature, albedo, and biomass. The aim of the present study was to estimate evapotranspiration (ETr), biomass (BIO), and water productivity (WP) for irrigated seed corn crop using the SAFER algorithm and Landsat 8 satellite images. For this, eight cloud-free images were acquired at different phenological stages over the interest area on the United States Geological Survey website and meteorological data. ETr was estimated by the SAFER algorithm, BIO by the Monteith model, and WP by the BIO/ETr ratio. ETr values ranged from 0 to 6 mm d-1, with the highest values coinciding with the period of high vegetative crop vigor, while the lowest values were found at the sowing season. The highest biomass values were observed from images at 46 and 62 days after sowing (DAS), corresponding to 286 and 289 kg ha-1 d-1, respectively. The highest mean of water productivity was observed at 62 DAS, with 6.9 kg m-3 of water, corresponding to the period of maximum vegetative crop vigor. The application of the SAFER model together with Landsat 8 satellite images was an alternative to identifying the spatial and temporal variation of biophysical parameters of the corn crop. It could assist in the management of water in irrigated agriculture and decision making in large-sized farms.

Nos últimos anos, tem sido realizado muitos estudos que associam dados de sensoriamento remoto orbital e modelos de crescimento de cultura para fins de monitoramento da vegetação, estimativa de evapotranspiração e quantificação de parâmetros biofísicos, por exemplo o NDVI, temperatura da superfície, albedo, biomassa. O objetivo do presente estudo foi estimar a evapotranspiração (ETr), a biomassa (BIO) e a produtividade de água (PA) para a cultura do milho semente irrigado utilizando-se o algoritmo SAFER e imagens do satélite Landsat 8. Para tal, foram adquiridas oito imagens, em diferentes fases fenológica, livre de nuvem sobre a área de interesse no site United States Geological Survey e dados meteorológicos. A ETr foi estimada por meio do algoritmo SAFER, a BIO pelo modelo de Monteith e a PA pela razão BIO/ETr. A ETr apresentou valores variando entre 0 e 6 mm d-1, sendo os maiores valores coincidentes com o período de maior vigor vegetativo da cultura e os menores com a época de semeadura. Os maiores valores de biomassa são notados nas imagens aos 46 e 62 dias após a semeadura (DAS), correspondendo a 286 e 289 kg ha-1 d-1, respectivamente. A maior média da produtividade da água é observado aos 62 DAS, com 6,9 kg m-3 de água, correspondente ao período de máximo vigor vegetativo da cultura. A aplicação do modelo SAFER juntamente com imagens do Satélite Landsat 8 mostrou-se uma alternativa na identificação da variação espacial e temporal dos parâmetros biofísicos da cultura do milho, podendo auxiliar no manejo da água na agricultura irrigada e na tomada de decisão em propriedades agrícolas de grande porte.

Assuntos

RESUMO

This study aimed to determine the best irrigation frequency and vermiculite proportion in substrate for Eucalyptus grandis seedling production in poorly technified nurseries. The experiment was carried out in Chapadão do Sul - MS (Brazil) from April 8 to July 23, 2013 (106 days). The experimental design was in randomized blocks arranged in a split-plots, with four irrigation frequencies (plots) and five vermiculite proportions (subplots) and six replications. Irrigation depth was estimated by the reference evapotranspiration (Penman-Monteith) multiplied by a crop coefficient (Kc) of 2. Average daily irrigation depth was 5.5 mm during the experimental period. The results showed that two daily irrigations (at 11:00 a.m. and 7:00 p.m.) and filling tubes with 80% vermiculite and 20% soil were most suitable for eucalyptus seedling production under these experimental conditions.(AU)

Objetivou-se determinar as melhores frequências de irrigação e proporção de vermiculita em substrato para produção de mudas de Eucalyptus grandis em viveiros menos tecnificados. O experimento foi realizado entre 08/04/2013 e 23/07/2013 (106 dias) e conduzido em Chapadão do Sul-MS, Brasil. O delineamento experimental foi em blocos casualizados, em parcelas subdivididas, tendo nas parcelas quatro frequências de irrigação e nas subparcelas cinco proporções de vermiculita, com seis repetições. A lâmina de irrigação foi estimada pela evapotranspiração de referência (Penman-Monteith) multiplicada pelo coeficiente de cultivo (Kc) = 2. A lâmina média diária de irrigação no período experimental foi de 5,5 mm. Constatou-se que o manejo com duas irrigações diárias (11:00h e 19:00h) e preenchimento de tubetes com 80% de vermiculita e 20% de solo de barranco é mais indicado para a produção de mudas de eucalipto nessas condições.(AU)

Assuntos

RESUMO

Crop phenology knowledge is relevant to a series of actions related to its management and can be accessed through vegetation indexes. Thus, this study aimed to evaluate the use of the Normalized Difference Vegetation Index (NDVI), from images of OLI and MODIS sensors, to obtain phenological information from corn crops. To this end, we evaluated two corn cropping areas, irrigated by a central pivot, and located western Bahia state, Brazil. These areas were managed with high technology and had no record of biotic and abiotic stresses. NDVI showed a well-defined temporal pattern throughout the corn cycle, with a rapid increase at the beginning, stabilization at intermediate stages, and decreases at the end of the cycle. Excellent fits for polynomial equations were obtained to estimate NDVI as a function of days after sowing (DAS), with R² values of 0.96 and 0.95 for images of OLI and MODIS sensors, respectively. This demonstrates that both sensors could characterize corn canopy changes over time. NDVI ranges were correlated with the main phenological stages (PE), using the direct relationship between both variables (NDVI and PE) with days after sowing (DAS). For the beginning and end of each phenological stage, NDVI ranges were validated through model identity testing. NDVI proved to be a suitable parameter to assess corn phenology accurately and remotely. Finally, NDVI was also an important tool for detecting biotic and abiotic stresses throughout the crop cycle, and hence for decision making based on corn phenology.(AU)

O conhecimento da fenologia das culturas é relevante para uma série de ações relacionadas ao seu manejo e pode ser acessada por meio de índices de vegetação. Portanto, objetivou-se com este trabalho avaliar o potencial do uso do Índice de Vegetação por Diferença Normalizada (NDVI), calculado a partir de imagens dos sensores OLI e MODIS para obter informações fenológicas da cultura do milho. Para tanto, foram utilizadas duas áreas de cultivo de milho irrigadas por sistema de pivô central na região oeste do estado da Bahia, Brasil. Estas áreas foram manejadas com alta tecnologia e sem registro de ocorrência de estresses bióticos e abióticos. O NDVI apresentou um padrão temporal bem definido ao longo do ciclo de desenvolvimento, com rápido incremento no início do desenvolvimento, estabilização nos estádios intermediários, e decréscimos na parte final do ciclo. Excelentes ajustes para as equações polinomiais foram obtidos para estimar o NDVI em função dos dias após a semeadura (DAS), com R² de 0,96 e 0,95 para as imagens do sensor OLI e MODIS, respectivamente, demonstrando que os sensores são capazes de caracterizar temporalmente as modificações do dossel da cultura do milho ao longo do ciclo. Intervalos de valores de NDVI foram correlacionados com os principais estádios fenológicos (EF) da cultura do milho, utilizando a relação direta de ambas as variáveis (NDVI e EF) com os dias após a semeadura (DAS). Os intervalos de valores de NDVI para o início e final de cada estádio fenológico foram validados através do teste de identidade do modelo, tornando o NDVI uma variável adequada para ser utilizada no acesso a fenologia do milho com precisão de maneira remota. Por fim, esses valores também são uma importante ferramenta para detecção de problemas bióticos e abióticos ao longo do ciclo de cultivo e para tomadas de decisão baseadas na fenologia da cultura.(AU)

Assuntos