33 research outputs found

    Long-Term Evaluation of the Influence of Mechanical Pruning on Olive Growing

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    In Portugal, olive (Olea europaea L.) groves with the traditional tree density of around 100 trees ha -1, necessitate increasing pruning costs every year. As a result farmers tend to lengthen pruning intervals. With the purpose of studying a mechanised alternative to the expensive, labor-intensive manual pruning practice, the authors established in 1997 field trials with the following three treatments: i) manual pruning with a chain saw; ii) mechanical pruning, performed by a tractor mounted cutting bar provided with 6 circular disc-saws; and iii) mechanical pruning, as in the mechanical pruning treatment, followed by a manual pruning complement. The effect of the above treatments on olive production and on harvesting efficiency was evaluated every year for 8 yr. The harvesting was performed by a trunk shaker, and the remaining non-detached fruits were collected manually. The pruning rate of mechanical pruning (487 trees hour-1man-1) was substantially higher than the values of manual pruning and mechanical+manual pruning, which were the same (20 trees hour-1man-1). Over the 8-yr period, mechanical pruning had an average yield of 36,4 kg tree-1 year-1 which was significantly higher than the 30,1 kg tree-1 year-1 of manual pruning and no significantly different from the 34,1 kg tree-1 year-1 of mechanical+manual pruning. The shaker efficiency was significantly influenced by the year, ranging from 72% to 96%; no significant differences were found between treatments in terms of harvesting efficiency. These tests indicate that after mechanized pruning (horizontal cut at the uppermost part of the canopy) trees can be kept for at least 8 years without any significant loss in olive yield per tree and no effect in harvesting efficiency, therefore reducing costs. Selective manual complement to the mechanized pruning, performed in the same year, does not provide any further advantages in olive yield nor in shaker performance and consequently increasing production costs

    Geomática. Desenho Técnico Assistido por Computador. Caderno de exercícios.

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    Esta publicação pretende ser um manual de apoio às aulas práticas de Desenho Técnico Assistido por Computador, no âmbito da unidade curricular Geomática, permitindo ao aluno atingir mais facilmente os objetivos da disciplina: introdução ao AutoCAD, projeções, cotagem, perspetivas, desenho a três dimensões, cortes e secções

    Classification of olive cultivars using artificial neural networks

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    Olive fruit classification according to their cultivar is of major importance to guarantee varietal authenticity. Usually, non-supervised or supervised statistical tools (such as Principal Component Analysis or Linear Discriminant Analysis, respectively) are used for this purpose, based on several physico-chemical data, namely table olive fatty acids profiles, dietary fiber, sugar, organic acids and mineral nutrient contents. In this work, quantitative morphological parameters of fruit and endocarp were evaluated. Seventy samples, containing each one around 40 olives, of the six most representative olive cultivars of Portuguese northeast region (Cobrançosa, Cordovil, Madural, Negrinha de Freixo, Santulhana and Verdeal Transmontana) were selected. The samples were collected in different groves and during four crop years. The biometrical data was used together with a Multi layer Perceptron Artificial Neural Network allowing the implementation and validation of a classification model. Its performance was compared with that obtained using a linear discriminant analysis. The best results were obtained using artificial neural networks, especially for the external validation procedure implemented. The satisfactory results achieved, even when compared with previous published works, regarding olive cultivar's classification, show that the neural networks could be used by olive oil producers as a preventive and effective tool for avoiding adulterations o f Protected Designation of Origin or monovarietal olive oils with olives of non-allowed cultivars

    Chemometric classification of several olive cultivars from Trás-os-Montes region (Northeast of Portugal) using artificial neural networks

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    This work aimed to use artificial neural networks for fruit classification according to olive cultivar, as a tool to guarantee varietal authenticity. So, 70 samples, each one containing, in general, 40 olives, belonging to the six most representative olive cultivars of Trás-os-Montes region (Cobrançosa, Cordovil, Madural, Negrinha de Freixo, Santulhana and Verdeal Transmontana) were collected in different groves and during four crop years. Five quantitative morphological parameters were evaluated for each fruit and endocarp, respectively. In total, ten biometrical parameters were used together with a multilayer perceptron artificial neural network allowing the implementation of a classification model. Its performance was compared with that obtained using linear discriminant analysis. The best results were obtained using artificial neural networks. In fact, the external validation procedure for linear discriminant analysis, using olive data from olive trees not included in the model development, showed an overall sensibility and specificity in the order of 70% and varying between 45 and 97% for the individual cultivars. On the other hand, the artificial neural network model was able to correctly classify the same unknown olives with a global sensibility and specificity around 75%, varying from 58 and 95% for each cultivar. The predictive results of the artificial neural network model selected was further confirmed since, in general, it correctly or incorrectly classified the unknown olive fruits in each one of the six cultivars studied with, respectively, higher and lower probabilities than those that could be expected by chance. The satisfactory results achieved, even when compared with previous published works, regarding olive cultivar's classification, show that the neural networks could be used by olive oil producers as a preventive and effective tool for avoiding adulterations of Protected Designation of Origin or monovarietal olive oils with olives of non-allowed cultivars.PRODER Programme, Ministério da Agricultura de Desenvolvimento Rural e das Pescas and União Europeia – Fundo Europeu Agrícola de Desenvolvimento Rural

    Mechanical versus manual harvest of Pinus pinea cones

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    Umbrella pine cone production is an important forest non-wood product in Portugal,especially in the region of Alcácer do Sal, where it plays an important role to the local development. Traditionally umbrella pine cones are manually harvested, increasing production costs and, above all, with very high accident risk to the workers. The development of equipment for mechanical harvesting started in Italy in the 1980's. Studies report different values for harvesting efficiency and tree damage, the latter in terms of immature cones and branches detached. In this study a trunk shaker was used to evaluate mechanical harvesting both in terms of efficiency and tree damage induced by trunk vibration. In comparison to the manual process, time required for mechanised harvesting was about 1/15th of the time. The results revealed a mechanical harvesting efficiency higher than 86% with negligible tree damage. Inter-annual harvest efficiency variability was also observed

    Spatial and temporal variation of fungal endophytic richness and diversity associated to the phyllosphere of olive cultivars

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    Fungal endophytes are micro-organisms that colonize healthy plant tissues without causing disease symptoms. They are described as plant growth and disease resistance promoters and have shown antimicrobial activity. The spatial-temporal distribution of endophytic communities in olive cultivars has been poorly explored. This study aims to investigate the richness and diversity of endophytic fungi in different seasons and sites, within the Alentejo region, Portugal. Additionally, and because the impact of some pathogenic fungi (e.g. Colletotrichum spp.) varies according to olive cultivars; three cultivars, Galega vulgar, Cobrançosa and Azeiteira, were sampled. 1868 fungal isolates were identified as belonging to 26 OTUs; 13 OTUs were identified to the genera level and 13 to species level. Cultivar Galega vulgar and season autumn showed significant higher values in terms of endophytic richness and diversity. At site level, Elvas showed the lowest fungal richness and diversity of fungal endophytes. This study reinforces the importance of exploring the combined spatio-temporal distribution of the endophytic biodiversity in different olive cultivars. Knowledge about endophytic communities may help to better understand their functions in plants hosts, such as their ecological dynamics with pathogenic fungi, which can be explored for their use as biocontrol agents

    Effect of long-term fungicide applications on virulence and diversity of Colletotrichum spp. Associated to olive anthracnose

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    In this study, the presence and variability of Colletotrichum spp. was evaluated by comparing fungal isolates obtained from olive trees under long-time phytosanitary treatments with trees without any phytosanitary treatments (treated and untreated, respectively). Olive fruits of trees of the highly susceptible ‘Galega vulgar’ cultivar growing in the Alentejo region were used as samples. From the 210 olive trees sampled (half from treated and half from untreated orchards), 125 (59.5%) presented Colletotrichum spp., with a significant lower number of infected trees in treated (39) when compared to untreated orchards (86). The alignment and analysis of beta-tubulin (tub2), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), actin (ACT), chitin synthase (CHS-1) and histone H3 (HIS-3) gene sequences allowed the identification of all 125 isolates as belonging to the C. acutatum complex. The vast majority of the isolates (124) were identified as C. nymphaeae and one isolate, from an untreated tree, was identified as C. godetiae. Isolates were divided into five different groups: Group A: 39 isolates from treated trees matched in 100% with C. nymphaeae sequences from the database; Group B: 76 isolates from untreated trees matched in 100% with C. nymphaeae sequences from the database; Group C: one isolate from untreated trees presenting a single nucleotidic difference in the HIS-3 sequence; Group D: eight isolates from untreated trees presenting differences in two nucleotides in the tub2 sequences that changed the protein structure, together with differences in two specific nucleotides of the GAPDH sequences; Group E: one isolate, from untreated olive trees, matched 100% with C. godetiae sequences from the database in all genes. Considering the similarities of the sampled areas, our results show that the long-time application of fungicides may have caused a reduction in the number of olive trees infected with Colletotrichum spp. but an increase in the number of fruits positive to Colletotrichum spp. within each tree, which may suggest different degrees of virulence of Colletotrichum isolates from trees growing different management regimes. It is imperative that the fungicides described as causing resistance are applied at appropriate times and intervals, since their efficiency decreases when applied incorrectly and new and more virulent species may arise

    COVID-19 symptoms at hospital admission vary with age and sex: results from the ISARIC prospective multinational observational study

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    Background: The ISARIC prospective multinational observational study is the largest cohort of hospitalized patients with COVID-19. We present relationships of age, sex, and nationality to presenting symptoms. Methods: International, prospective observational study of 60 109 hospitalized symptomatic patients with laboratory-confirmed COVID-19 recruited from 43 countries between 30 January and 3 August 2020. Logistic regression was performed to evaluate relationships of age and sex to published COVID-19 case definitions and the most commonly reported symptoms. Results: ‘Typical’ symptoms of fever (69%), cough (68%) and shortness of breath (66%) were the most commonly reported. 92% of patients experienced at least one of these. Prevalence of typical symptoms was greatest in 30- to 60-year-olds (respectively 80, 79, 69%; at least one 95%). They were reported less frequently in children (≤ 18 years: 69, 48, 23; 85%), older adults (≥ 70 years: 61, 62, 65; 90%), and women (66, 66, 64; 90%; vs. men 71, 70, 67; 93%, each P < 0.001). The most common atypical presentations under 60 years of age were nausea and vomiting and abdominal pain, and over 60 years was confusion. Regression models showed significant differences in symptoms with sex, age and country. Interpretation: This international collaboration has allowed us to report reliable symptom data from the largest cohort of patients admitted to hospital with COVID-19. Adults over 60 and children admitted to hospital with COVID-19 are less likely to present with typical symptoms. Nausea and vomiting are common atypical presentations under 30 years. Confusion is a frequent atypical presentation of COVID-19 in adults over 60 years. Women are less likely to experience typical symptoms than men

    A mecanização da poda do olival: contribuição da máquina de podar de discos

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    Este trabalho pretende contribuir para encontrar soluções alternativas à poda da oliveira com moto - serra, de modo a reduzir a dependência da utilização da mão-de-obra e baixar os custos desta operação cultural. Avaliou-se o impacto da realização da poda da oliveira com uma máquina de podar de discos, comparativamente coma poda realizada com moto – serra. Definiram-se três modalidades de poda: A - poda manual efectuada com moto - serra; B - poda mecanica realizada com máquina de podar de discos; C - poda manual de complemento efectuada com moto – serra, após uma intervenção prévia da máquina de podar de discos. Mantiveram-se os tratamentos estabelecidos no início de cada ensaio sem novas intervenções de poda, para avaliar o efeito da sua aplicação durante o maior período de tempo possível. Paralelamente, com o decorrer dos ensaios foram estabelecidos mais tratamentos de modo a iniciar o estudo da periodicidade da realização de intervenções de poda. A avaliação do efeito dos tratamentos consistiu na quantificação da produção de azeitona e do desempenho do vibrador, em termos de eficiência de colheita e de tempo de vibração por árvore. Este trabalho também permitiu comparara capacidade de trabalho da máquina de podar de discos coma poda manual executada com moto - serra, e procedera uma estimativa dos custos de poda. Os resultados obtidos evidenciaram que a poda mecânica não afectou a capacidade produtiva das oliveiras, sendo possível, após a intervenção inicial de poda mecânica, deixar as árvores durante vários anos sem podar, mantendo o nível produtivo. Em termos de desempenho do vibrador na colheita de azeitona, este não foi consideravelmente afectado pela aplicação de poda mecânica, embora em cultivares de reconhecida dificuldade de colheita por vibração, tenha havido uma penalização da eficiência de colheita nas árvores podadas mecanicamente, a qual foi ultrapassada vibrando as árvores às pernadas. Relativamente à periodicidade de execução de intervenções de poda, principalmente de poda mecânica, apesar dos ensaios não terem um longo período de execução, permitiram constatar que a aplicação da poda mecânica, coma frequência de 2, 3 ou 4 anos após a intervenção inicial penaliza a produção de azeitona. Os resultados obtidos possibilitaram a definição de uma estratégia de poda para aplicação da poda mecânica na oliveira durante um longo período de tempo. Tal estratégia baseia-se na redução das intervenções de poda, aumentando o número de anos entre duas intervenções consecutivas, de modo a explorara capacidade produtiva das árvores e a repartir os custos de poda e de eliminação dos ramos podados durante esse período de tempo

    Geomática. Desenho Técnico Assistido por Computador. Caderno de exercícios (revisto e aumentado).

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    Esta publicação pretende ser um manual de apoio às aulas práticas de Desenho Técnico Assistido por Computador, no âmbito da unidade curricular Geomática, permitindo ao aluno atingir mais facilmente os objetivos da disciplina: introdução ao AutoCAD, projeções, cotagem, perspetivas, desenho a três dimensões, cortes e secções
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