Modelação das necessidades hídricas de olivais regados utilizando variáveis e parâmetros biofísicos e deteção remota

Estudos desenvolvidos na região de Moura, Alentejo, em olival permitiram quantificar a transpiração (T) das plantas para diversas modalidades de rega e utilizar esta informação para o desenvolvimento de uma equação de estimativa de T, através da relação entre T, e índices de vegetação (IVs) calculados a partir de informação obtida por detecção remota. Pretende-se alargar o âmbito deste trabalho de modelação e combinar outras técnicas de medição, tendo em vista a quantificação das necessidades hídricas de olivais regados, tanto à escala da parcela como regional. Para o efeito irá recorrer-se a outros modelos de simulação (SimDualKc, Revised RS-PM, METRIC) e à integração da informação numa plataforma SIG

Water requirements and footprint of a super intensive olive grove under Mediterranean climate

Abstract The water footprint of a product can be described as the volume of freshwater used to produce it, associated to a geographic and temporal resolution. For crops, the water footprint relates crop water requirements and yield. The components of water footprint, blue, green and grey water footprints, refer to the volumes of respectively, surface and groundwater, rainfall, and water required to assimilate pollution, used to produce the crop yield. The global standard for crop water footprint assessment relies on evapotranspiration models to estimate green and blue water evapotranspiration. This approach has been used in the present study to estimate the water footprint of a very high density drip irrigated olive grove and further compared with data obtained from evapotranspiration measurements or from its components: the eddy covariance method to quantify latent heat flux, a heat dissipation sap flow technique to determine transpiration and microlysimeters to evaluate soil evaporation. The eddy covariance technique was used for short periods in 2011 and 2012, while sap flow measurements were performed continuously, hence allowing the extension of the data series. Measurements of evapotranspiration with the eddy covariance method provided an average close to 3.4 mm d-1 (2011) and 2.5 mm d-1 (2012). The ratio of evapotranspiration to reference evapotranspiration approached 0.6 and 0.4 for the respective periods. The water footprint of the olive crop under study, calculated with field data, was higher than the water footprint simulated using the global standard assessment and was lower than that reported in literature for olives. Lower values are probably related to differences in cultural practices, e.g., the density of plantation, harvesting techniques and irrigation management. The irrigated high-density olive grove under study had a high yield, which compensates for high water consumption, thus leading to a water footprint lower than the ones of rainfed or less dense groves. Other differences may relate to the procedures used to determine evapotranspiration

Generating fuzzy rules by learning from olive tree transpiration measurement - An algorithm to automatize Granier sap flow data analysis

The present study aims at developing an intelligent system of automating data analysis and prediction embedded in a fuzzy logic algorithm (FAUSY) to capture the relationship between environmental variables and sap flow measurements (Granier method). Environmental thermal gradients often interfere with Granier sap flow measurements since this method uses heat as a tracer, thus introducing a bias in transpiration flux calculation. The FAUSY algorithm is applied to solve measurement problems and provides an approximate and yet effective way of finding the relationship between the environmental variables and the natural temperature gradient (NTG), which is too complex or too ill-defined for precise mathematical analysis. In the process, FAUSY extracts the relationships from a set of input–output environmental observations, thus general directions for algorithm-based machine learning in fuzzy systems are outlined. Through an iterative procedure, the algorithm plays with the learning or forecasting via a simulated model. After a series of error control iterations, the outcome of the algorithm may become highly refined and be able to evolve into a more formal structure of rules, facilitating the automation of Granier sap flow data analysis. The system presented herein simulates the occurrence of NTG with reasonable accuracy, with an average residual error of 2.53% for sap flux rate, when compared to data processing performed in the usual way. For practical applications, this is an acceptable margin of error given that FAUSY could correct NTG errors up to an average of 76% of the normal manual correction process. In this sense, FAUSY provides a powerful and flexible way of establishing the relationships between the environment and NTG occurrencesinfo:eu-repo/semantics/publishedVersio

Nutritional status of Lusitano broodmares on extensive feeding systems: body condition, live weight and metabolic indicators

Articles in International JournalsThe present research aimed to evaluate the effects of foaling season and feeding management in extensive systems on the nutritional status of Lusitano broodmares throughout the gestation/lactation cycle, by assessment of body condition (BC), body weight (BW), and some blood metabolic indicators. Four groups of Lusitano broodmares (A, B, C, D) were monitored during four years, in a total of 119 gestation/lactation cycles. All mares were kept on pasture, and A and B mares were daily supplemented. Monthly, mares were weighed and BC evaluated. Suckling foals from these mares were also monitored for BW and withers height. Glucose, non-esterified fatty acids, urea and albumin concentrations were determined in blood. BW changes were influenced by reproductive stage and foaling season (P<0.001), reflecting also pasture availability. Changes on BC were observed (P<0.05), although with small amplitudes within each group. Higher scores were reached at the end of spring, decreasing 0.25 point until late summer. Early foaling had also a marked effect, hindering the recovery of BC along the cycle. Glucose values decreased from late gestation to early lactation (P<0.05) and lower levels were recorded during the summer months. Uremia was mainly influenced by the reproductive stage (P<0.05). Under nutrition was not detected. Foals born in February-March had higher average daily gain than those born in April-May (P<0.05), probably reflecting differences in milk production of the mares. BC and BW changes and, particularly, blood indicators showed an overall balanced nutritional status, reflecting an adaptation to feed availability and climate.Portuguese Foundation for Science and Technolog

Energy balance measurements over a banana orchard in the Semiarid region in the Northeast of Brazil

The objective of this work was to evaluate the reliability of eddy covariance measurements, analyzing the energy balance components, evapotranspiration and energy balance closure in dry and wet growing seasons, in a banana orchard. The experiment was carried out at a farm located within the irrigation district of Quixeré, in the Lower Jaguaribe basin, in Ceará state, Brazil. An eddy covariance system was used to measure the turbulent flux. An automatic weather station was installed in a grass field to obtain the reference evapotranspiration (ET0) from the combined FAO-Penman-Monteith method. Wind speed and vapor pressure deficit are the most important variables on the evaporative process in both growing seasons. In the dry season, the heat fluxes have a similar order of magnitude, and during the wet season the latent heat flux is the largest. The eddy covariance system had acceptable reliability in measuring heat flux, with actual evapotranspiration results comparing well with those obtained by using the water balance method. The energy balance closure had good results for the study area, with mean values of 0.93 and 0.86 for the dry and wet growing seasons respectively

Pegada hídrica de um olival super-intensivo sob clima mediterrânico, utilizando medições de campo e deteção remota

A pegada hídrica de uma cultura representa o volume de água necessário para produzir, relacionando as necessidades hídricas da cultura com a produção. As suas componentes, pegadas hídricas azul, verde e cinzenta, referem-se respectivamente aos volumes de água superficial e subterrânea, precipitação e de água necessária para assimilar a poluição utilizados pela cultura. A determinação das pegadas hídricas azul e verde é normalmente conseguida através da estimativa da evapotranspiração cultural, aplicando coeficientes culturais a uma evapotranspiração de referência, calculada a partir de dados meteorológicos. No presente estudo foram utilizadas medições da evapotranspiração para estimar a pegada hídrica de um olival super-intensivo na região de Évora. As necessidades hídricas foram medidas utilizando um método de fluxo de seiva para determinar a transpiração e o método micrometeorológico das flutuações instantâneas para medir directamente a evapotranspiração. Esta técnica foi utilizada durante um período de tempo limitado, enquanto as medições do fluxo de seiva, que foram efectuadas para períodos alargados, permitiram a extensão dos registos. A evapotranspiração medida directamente apresentou valores de cerca de 3 mm d-1 e o quociente entre evapotranspiração real e evapotranspiração de referência é próximo de 0,6 para o mesmo período. Comparou-se a estimativa da pegada hídrica obtida com o procedimento habitual com a resultante de medições in-situ e utilizando técnicas de deteção remota. A pegada hídrica do olival sob estudo foi inferior às simulações encontradas na literatura, o que pode ser explicado por diferenças na densidade de plantação, produção e gestão da rega. O olival em estudo obteve uma produção elevada, com um azeite que preencheu as características essenciais à classificação de azeite extra virgem, o mais valorizado, o que contraria o efeito do elevado consumo de água, resultando numa pegada hídrica inferior à de olivais não regados ou com menor densidade de plantação

Impactos das alterações climáticas na agricultura portuguesa

A agricultura é afectada pelas alterações climáticas, que se farão sentir, principalmente, nas seguintes vertentes: datas de ocorrência dos eventos fenológicos, crescimento e produção, uso da água e necessidades hídricas, competição de infestantes e eficiência de herbicidas, taxa de erosão do solo, incidência de pragas e doenças e eficiência de pesticidas, condições económicas, financeiras e sociais dos agricultores