964 resultados para weed plants


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The objective of this study was to evaluate different nozzles and spray rates on drop deposition in corn (Zea mays), Euphorbia heterophylla and Brachiaria plantaginea, both weeds located at and between crop rows. The experimental design established was complete random blocks with treatments arranged at 2 x 2 factorial scheme (2 nozzles types: DG11002VS flat flan and medium droplets, TXVK08 cone and very fine droplets; and 2 rates: 100 and 200 L ha(-1)) with four replications. The spray applications occurred at 13 days after corn germination (3-5 expanded leaves), when E. heterophylla and B. plantaginea plants had 2-4 and 2-3 leaves, respectively. Solution of Brilliant Blue (FD&C-1) dye at 3,000 ppm was used as spray tracer. It was concluded that the greatest average deposits in corn plants was provided by TXVK08, independently of the spray rates used. The most uniform deposits occurred when the spray rates of 200 L ha(-1) was used. Spray deposits were most uniform in B. plantaginea compared to E. heterophylla when both weds were located at crop row, independently of nozzle or spray rates. However, the DG 11002VS spray nozzle provided the most uniform drop deposition on B. plantaginea located between the rows, while the most efficient deposition over E. heterophylla located between rows was TXVK08.

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Parthenium weed (Parthenium hysterophorus L.) is an erect, branched, annual plant of the family Asteraceae. It is native to the tropical Americas, while now widely distributed throughout Africa, Asia, Oceania, and Australasia. Due to its allelopathic and toxic characteristics, parthenium weed has been considered to be a weed of global significance. These effects occur across agriculture (crops and pastures), within natural ecosystems, and has impacts upon health (human and animals). Although integrated weed management (IWM) for parthenium weed has had some success, due to its tolerance and good adaptability to temperature, precipitation, and CO2, this weed has been predicted to become more vigorous under a changing climate resulting in an altered canopy architecture. From the viewpoint of IWM, the altered canopy architecture may be associated with not only improved competitive ability and replacement but also may alter the effectiveness of biocontrol agents and other management strategies. This paper reports on a preliminary study on parthenium weed canopy architecture at three temperature regimes (day/night 22/15 °C, 27/20 °C, and 32/25 °C in thermal time 12/12 hours) and establishes a threedimensional (3D) canopy model using Lindenmayer-systems (L-systems). This experiment was conducted in a series of controlled environment rooms with parthenium weed plants being grown in a heavy clay soil. A sonic digitizer system was used to record the morphology, topology, and geometry of the plants for model construction. The main findings include the determination of the phyllochron which enables the prediction of parthenium weed growth under different temperature regimes and that increased temperature enhances growth and enlarges the plants canopy size and structure. The developed 3D canopy model provides a tool to simulate and predict the weed growth in response to temperature, and can be adjusted for studies of other climatic variables such as precipitation and CO2. Further studies are planned to investigate the effects of other climatic variables, and the predicted changes in the pathogenic biocontrol agent effectiveness.

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Cyperus iria is a weed of rice with widespread occurrence throughout the world. Because of concerns about excessive and injudicious use of herbicides, cultural weed management approaches that are safe and economical are needed. Developing such approaches will require a better understanding of weed biology and ecology, as well as of weed response to increases in crop density and nutrition. Knowledge of the effects of nitrogen (N) fertilizer on crop-weed competitive interactions could also help in the development of integrated weed management strategies. The present study was conducted in a screenhouse to determine the effects of rice planting density (0, 5, 10, and 20 plants pot−1) and N rate (0, 50, 100, and 150 kg ha−1) on the growth of C. iria. Tiller number per plant decreased by 73–88%, leaf number by 85–94%, leaf area by 85–98%, leaf biomass by 92–99%, and inflorescence biomass by 96–99% when weed plants were grown at 20 rice plants pot−1 (i.e., 400 plants m−2) compared with weed plants grown alone. All of these parameters increased when N rates were increased. On average, weed biomass increased by 118–389% and rice biomass by 121–275% with application of 50–150 kg N ha−1, compared to control. Addition of N favored weed biomass production relative to rice biomass. Increased N rates reduced the root-to-shoot weight ratio of C. iria. Rice interference reduced weed growth and biomass and completely suppressed C. iria when no N was applied at high planting densities (i.e., 20 plants pot−1). The weed showed phenotypic plasticity in response to N application, and the addition of N increased the competitive ability of the weed over rice at densities of 5 and 10 rice plants pot−1 compared with 20 plants pot−1. The results of the present study suggest that high rice density (i.e., 400 plants m−2) can help suppress C. iria growth even at high N rates (150 kg ha−1).

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Many weeds occur in patches but farmers frequently spray whole fields to control the weeds in these patches. Given a geo-referenced weed map, technology exists to confine spraying to these patches. Adoption of patch spraying by arable farmers has, however, been negligible partly due to the difficulty of constructing weed maps. Building on previous DEFRA and HGCA projects, this proposal aims to develop and evaluate a machine vision system to automate the weed mapping process. The project thereby addresses the principal technical stumbling block to widespread adoption of site specific weed management (SSWM). The accuracy of weed identification by machine vision based on a single field survey may be inadequate to create herbicide application maps. We therefore propose to test the hypothesis that sufficiently accurate weed maps can be constructed by integrating information from geo-referenced images captured automatically at different times of the year during normal field activities. Accuracy of identification will also be increased by utilising a priori knowledge of weeds present in fields. To prove this concept, images will be captured from arable fields on two farms and processed offline to identify and map the weeds, focussing especially on black-grass, wild oats, barren brome, couch grass and cleavers. As advocated by Lutman et al. (2002), the approach uncouples the weed mapping and treatment processes and builds on the observation that patches of these weeds are quite stable in arable fields. There are three main aspects to the project. 1) Machine vision hardware. Hardware component parts of the system are one or more cameras connected to a single board computer (Concurrent Solutions LLC) and interfaced with an accurate Global Positioning System (GPS) supplied by Patchwork Technology. The camera(s) will take separate measurements for each of the three primary colours of visible light (red, green and blue) in each pixel. The basic proof of concept can be achieved in principle using a single camera system, but in practice systems with more than one camera may need to be installed so that larger fractions of each field can be photographed. Hardware will be reviewed regularly during the project in response to feedback from other work packages and updated as required. 2) Image capture and weed identification software. The machine vision system will be attached to toolbars of farm machinery so that images can be collected during different field operations. Images will be captured at different ground speeds, in different directions and at different crop growth stages as well as in different crop backgrounds. Having captured geo-referenced images in the field, image analysis software will be developed to identify weed species by Murray State and Reading Universities with advice from The Arable Group. A wide range of pattern recognition and in particular Bayesian Networks will be used to advance the state of the art in machine vision-based weed identification and mapping. Weed identification algorithms used by others are inadequate for this project as we intend to collect and correlate images collected at different growth stages. Plants grown for this purpose by Herbiseed will be used in the first instance. In addition, our image capture and analysis system will include plant characteristics such as leaf shape, size, vein structure, colour and textural pattern, some of which are not detectable by other machine vision systems or are omitted by their algorithms. Using such a list of features observable using our machine vision system, we will determine those that can be used to distinguish weed species of interest. 3) Weed mapping. Geo-referenced maps of weeds in arable fields (Reading University and Syngenta) will be produced with advice from The Arable Group and Patchwork Technology. Natural infestations will be mapped in the fields but we will also introduce specimen plants in pots to facilitate more rigorous system evaluation and testing. Manual weed maps of the same fields will be generated by Reading University, Syngenta and Peter Lutman so that the accuracy of automated mapping can be assessed. The principal hypothesis and concept to be tested is that by combining maps from several surveys, a weed map with acceptable accuracy for endusers can be produced. If the concept is proved and can be commercialised, systems could be retrofitted at low cost onto existing farm machinery. The outputs of the weed mapping software would then link with the precision farming options already built into many commercial sprayers, allowing their use for targeted, site-specific herbicide applications. Immediate economic benefits would, therefore, arise directly from reducing herbicide costs. SSWM will also reduce the overall pesticide load on the crop and so may reduce pesticide residues in food and drinking water, and reduce adverse impacts of pesticides on non-target species and beneficials. Farmers may even choose to leave unsprayed some non-injurious, environmentally-beneficial, low density weed infestations. These benefits fit very well with the anticipated legislation emerging in the new EU Thematic Strategy for Pesticides which will encourage more targeted use of pesticides and greater uptake of Integrated Crop (Pest) Management approaches, and also with the requirements of the Water Framework Directive to reduce levels of pesticides in water bodies. The greater precision of weed management offered by SSWM is therefore a key element in preparing arable farming systems for the future, where policy makers and consumers want to minimise pesticide use and the carbon footprint of farming while maintaining food production and security. The mapping technology could also be used on organic farms to identify areas of fields needing mechanical weed control thereby reducing both carbon footprints and also damage to crops by, for example, spring tines. Objective i. To develop a prototype machine vision system for automated image capture during agricultural field operations; ii. To prove the concept that images captured by the machine vision system over a series of field operations can be processed to identify and geo-reference specific weeds in the field; iii. To generate weed maps from the geo-referenced, weed plants/patches identified in objective (ii).

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Objetivou-se com este trabalho determinar o período de convivência anterior à interferência das plantas daninhas (PAI) e o período anterior ao dano no rendimento econômico (PADRE) na cultura do feijão, em diferentes espaçamentos (0,45 e 0,60 m) e densidade de plantas (10 e 15 plantas m-1). Os tratamentos foram constituídos de períodos de convivência entre a cultura e as plantas daninhas (0 a 10, 0 a 20, 0 a 30, 0 a 40, 0 a 50, 0 a 60, 0 a 70 e 0 a 80 dias), mais uma testemunha sem convívio com as plantas daninhas. Adotou-se o delineamento experimental de blocos casualizados, com quatro repetições. Os períodos anteriores à interferência (PAI) da cultura foram de 23, 27, 13 e 19 dias após emergência, e os períodos anteriores ao dano no rendimento econômico (PADRE), de 10, 9, 8 e 8 dias, para os tratamentos com espaçamento de 0,45 m e densidades de semeadura de 10 e 15 plantas m-1 e para aqueles com espaçamento de 0,60 m e densidades de semeadura de 10 e 15 plantas m-1, respectivamente, o que reduziu a produtividade de grãos em 63, 50, 42 e 57%, respectivamente, com a presença das plantas daninhas durante todo o ciclo do feijoeiro.

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O presente trabalho teve por objetivo estudar o comportamento de 7 cultivares de milho (Zea mays L.) quanto à interferência da comunidade de plantas daninhas. Para tanto, os 7cultivares de milho (ESALQ VF-7, ESALQ VD-8, COMPOSTOS ARQUITETURA, FLINT e DENTADO, PIRANÃO e o híbrido CARGILL 501) foram submetidos a duas condições de interferência: com e sem, totalizando 14 tratamentos arranjados em esquema fatorial (7x2), instalados, no campo, em área experimental da FCAV/UNESP, Campus de Jaboticabal, seguindo o delineamento experimental de blocos ao acaso com 4 repetições. A comunidade infestante cujas espécies mais importantes foram SIDCO, BRAPL e ELEIN, estabeleceu-se a partir dos 14 dias após a semeadura, passando a interferir negativamente sobre a cultura a partir dos 35 dias. Os cultivares CD e CF apresentaram maior crescimento que os demais. A interferência da comunidade infestante reduziu a altura de inserção da primeira espiga; o comprimento e a circunferência das espigas, os pesos da espigas e dos grãos e a produção estimada da cultura, independente do cultivar. Os cultivares PIR e ARQ, independente da interferência, mostraram-se os menos produtivos. O cultivar Carg mostrou-se o mais produtivo mesmo quando sob interferência. O cultivar ARQ foi o mais sensível à interferência, enquanto PIR e VF-7 foram os menos sensíveis, podendo ser utilizados em programas de melhoramento genético visando tolerância a interferência de plantas daninhas.

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A cultura da melancia é uma atividade explorada regionalmente, sendo uma das mais importantes fontes de renda familiar de pequenos municípios do médio Paranapanema, onde mudanças significativas no processo produtivo são atualmente constatadas, passando de mão-de-obra intensiva para uso de tecnologias promissoras, como é o caso do manejo de plantas daninhas. Um experimento foi conduzido no município de Oscar Bressani (SP), em área de produção comercial, com objetivo de estudar a interferência de plantas daninhas, no cultivo da melancia, na safra 2002/2003. O delineamento experimental utilizado foi de blocos ao acaso com dez tratamentos e quatro repetições, representadas por parcelas com área útil de 18 m², contendo quatro plantas de melancia e infestação prevalecente das espécies Sidaspp, Brachiaria humidicola, Commelina benghalensise Portulaca oleracea. A infestação das plantas daninhas foi estimada através de amostragens aleatórias das parcelas utilizando-se quadro vazado de ferro com 0,5 m de lado. Os tratamentos constaram de testemunhas capinadas e sem capina e diferentes épocas de controle da infestação, de forma que a cultura foi mantida na presença ou ausência das plantas daninhas até 7; 14; 28; 56 e 63 dias após a sua emergência (DAE). A ocorrência do período inicial de convivência possível maior que o período final estabeleceu o Período Crítico de Prevenção da Interferência do 9º ao 13º dias (PCPI= 9-13 DAE). A redução média da produtividade em função da interferência das plantas daninhas durante todo o ciclo da melancia foi de 41,4%. As características diâmetro e espessura da casca dos frutos também foram influenciadas pela convivência com a infestação durante todo o ciclo com decréscimos, de 7,9% e 23,3%, respectivamente, em média, ao contrário do comprimento e diâmetro de ramas e do ºBrix da polpa dos frutos, onde não foram constatadas diferenças significativas.

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Considerando que a palha pode alterar a dinâmica e a eficácia dos herbicidas no sistema de cana-crua e complementar a ação destes, o objetivo deste trabalho foi verificar a eficácia do amicarbazone no controle de plantas daninhas presentes em variadas circunstâncias, incluindo a possibilidade de absorção do herbicida diretamente da palha de cana-de-açúcar. Para isso, conduziu-se um experimento em vasos com quatro repetições, em que, além das testemunhas com e sem palha, o amicarbazone foi aplicado em diferentes situações: sobre 5 t ha-1 de palha; sobre o solo posteriormente recoberto com 5 t ha-1 de palha; sobre o solo sem cobertura de palha e com ou sem simulação de distintas quantidades de chuva aplicada antes ou após aplicação do produto. A dose de amicarbazone aplicada foi de 1.400 g ha-1 de ingrediente ativo (i.a.), com consumo de calda equivalente a 200 L ha-1. As plantas daninhas utilizadas foram Brachiaria plantaginea, Brachiaria decumbens, Ipomoea grandifolia e Cyperus rotundus. Avaliaram-se a porcentagem de controle das plantas daninhas aos 7, 14, 21, 28, 35, 42, 49 e 56 DAA, nos tratamentos em que o amicarbazone foi aplicado em pré-emergência, e aos 3, 10, 17, 24, 31 e 38 DAA, quando o herbicida foi aplicado em pós-emergência; a biomassa seca aos 56 ou 38 DAA; e a viabilidade dos tubérculos de C. rotundus, pelo teste de tetrazólio na última avaliação. Verificou-se que, independentemente da planta daninha avaliada, os maiores índices de controle foram alcançados quando o amicarbazone foi aplicado sobre a palha, simulando-se em seguida precipitação correspondente a 2,5 ou 30 mm de chuva, e nos tratamentos em que o herbicida foi aplicado diretamente no solo desnudo ou recoberto com palha. Dessa forma, para I. grandifolia, B. plantaginea e B. decumbens, patamares mais elevados de controle foram alcançados quando o amicarbazone atingiu o solo, tanto aplicado diretamente como quando lixiviado da palha pela chuva simulada após a aplicação. Já para C. rotundus, as maiores porcentagens de controle foram observadas quando o amicarbazone foi aplicado sobre a palha, com simulação de chuva imediatamente após a aplicação, evidenciando que a lixiviação pode ser um processo fundamental para uma apropriada absorção e eficácia do herbicida avaliado.

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Combinações de herbicidas visam o aumento do espectro de controle de plantas daninhas do complexo florístico, sendo usadas na agricultura com freqüência. Este trabalho teve como objetivo estudar a seletividade das combinações do herbicida lactofen, com bentazon, fomesafen, chlorimuron-ethyl e imazethapyr na cultura da soja, cultivar BR-37. Para isso, foi instalado um experimento de campo em Maringá-PR, em área livre de plantas daninhas evitando assim possíveis interferências sobre a cultura. Os tratamentos combinados foram obtidos aplicando-se de maneira contínua cada produto e suas doses a 75, 50 e 25% da dose comercial, seguindo as linhas de soja e novamente, aplicando-os perpendicularmente as mesmas, sendo assim, os locais onde houve o cruzamento e sobreposição das aplicações, formaram-se as combinações dos herbicidas, originando também, quatro testemunhas diagonais aos tratamentos. A comparação entre as médias de produtividade foi feita com o cálculo dos intervalos de confiança das testemunhas e de cada tratamento, adotando-se o teste t a 5%. As combinações foram seletivas para a cultura da soja. Verificaram-se reduções na produtividade de soja entre as combinações com os herbicidas nas maiores doses, sugerindo a necessidade de realizar novas pesquisas com os mesmos.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Agronomia (Produção Vegetal) - FCAV

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The grains of chickpea consumed in Brazil are almost entirely imported. Considering that chickpeas presents conditions to be cultivated in some regions of Brazil, this study aimed to study interference of six weed plants (Amaranthus viridis, Bidens pilosa, Raphanus raphanistrum, Cyperus rotundus, Digitaria nuda and Eleusine indica) on the vegetative development of chickpeas. Thus, we evaluated the shoot length, number of leaves, leaf area, chlorophyll content and dry weight of leaves, stem and root of chickpeas. We observed a significant interference on the chickpeas'development in coexistence with weeds. Among the weeds, D. nuda, E. indica and A. viridis were the most aggressive, highlighting the need for early control of weeds when in cultivation of chickpeas in areas with a history of high density of these weeds. The leaf area of chickpeas was the most affected trait by the coexistence with weeds, affecting the development of the crop.