457 resultados para Soybeans
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2016
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RESUMO: O objetivo deste trabalho foi avaliar o desempenho de inseticidas autorizados emergencialmente para o controle de Helicoverpa armigera (Lepidoptera: Noctuidae) em soja. Sete inseticidas foram pulverizados em campo e, após 24 horas, folhas do ponteiro foram coletadas e oferecidas para lagartas de 2o instar em laboratório. Lagartas do 4o instar receberam a última folha trifoliolada que se encontrava completamente expandida no momento da pulverização. Outro grupo foi exposto a folhas coletadas a partir de 72 horas da pulverização. Em campo, seis inseticidas foram pulverizados e, em seguida, as plantas foram infestadas com lagartas de 2o e 3o instar. No primeiro estudo, flubendiamida, clorantraniliprole, clorfenapir, indoxacarbe e metoxifenozida causaram 100% de mortalidade do 4o instar aos oito dias após o início da exposição, enquanto baculovírus e Bacillus thuringiensis (Bt) propiciaram mortalidade de 60-75%, que evoluiu para 88?90% ao final da fase de pupa. Para o 2o instar, apenas flubendiamida e clorantraniliprole proporcionaram mortalidade de 100%. Flubendiamida, clorantraniliprole e clorfenapir apresentaram o menor tempo letal para o 4o instar, e flubendiamida e clorantraniliprole, para o 2o instar. Após 72 horas da pulverização, o desempenho dos inseticidas foi insatisfatório. Em campo, houve eficiência satisfatória de flubendiamida, espinosade, baculovírus e Bt sobre lagartas de 2o e 3o instar. ABSTRACT:The objective of this work was to evaluate the performance of insecticides authorized on an emergency basis to control of Helicoverpa armigera (Lepidoptera: Noctuidae) in soybean. Seven insecticides were sprayed on the field and, 24 hours after that, soybean pointer leaves were collected and offered to 2nd instar larvae in the laboratory. Fourth instar larvae received the last trifoliate leaf that was fully expanded at the time of spraying. Another larvae group was exposed to leaves collected from 72 hours onwards after spraying. In the field, six insecticides were sprayed, and then the plants were infested with 2nd and 3rd instar larvae. In the first study, flubendiamide, chlorantraniliprole, chlorfenapyr, indoxacarb, and methoxyfenozide caused 100% mortality of the 4th instar, eight days after the beginning of exposure, while baculovirus and Bacillus thuringiensis (Bt) caused 60?75% mortality, which reached 88?90% at the end of the pupal stage. For 2nd instar larvae, only flubendiamide and chlorantraniliprole caused 100% mortality. Flubendiamide, chlorantraniliprole, and chlorfenapyr showed the lowest lethal time for the 4th instar, and flubendiamide and chlorantraniliprole for the 2nd instar. Seventy-two hours after spraying, the performance of insecticides was not satisfactory. In the field, there was satisfactory efficiency of flubendiamide, spinosad, baculovirus, and Bt on 2nd and 3rd instar larvae.
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Introduction: Brazil, is one of the main agricultural producers in the world ranking 1st in the production of sugarcane, coffee and oranges. It is also 2nd as world producer of soybeans and a leader in the harvested yields of many other crops. The annual consumption of mineral fertilizers exceeds 20 million mt, 30% of which corresponds to potash fertilizers (ANDA, 2006). From this statistic it may be supposed that fertilizer application in Brazil is rather high, compared with many other countries. However, even if it is assumed that only one fourth of this enormous 8.5 million km2 territory is used for agriculture, average levels of fertilizer application per hectare of arable land are not high enough for sustainable production. One of the major constraints is the relatively low natural fertility status of the soils which contain excessive Fe and Al oxides. Agriculture is also often practised on sandy soils so that the heavy rainfall causes large losses of nutrients through leaching. In general, nutrient removal by crops such as sugarcane and tropical fruits is much more than the average nutrient application via fertilization, especially in regions with a long history of agricultural production. In the recently developed areas, especially in the Cerrado (Brazilian savanna) where agriculture has expanded since 1980, soils are even poorer than in the "old" agricultural regions, and high costs of mineral fertilizers have become a significant input factor in determining soybean, maize and cotton planting. The consumption of mineral fertilizers throughout Brazil is very uneven. According to the 1995/96 Agricultural Census, only in eight of the total of 26 Brazilian states, were 50 per cent or more of the farms treated "systematically" with mineral fertilizers; in many states it was less than 25 per cent, and in five states even less than 12 per cent (Brazilian Institute for Geography and Statistics; Censo Agropecuario1995/96, Instituto Brazileiro de Geografia e Estadistica; IBGE, www.ibge.gov.br). The geographical application distribution pattern of mineral fertilizers may be considered as an important field of research. Understanding geographical disparities in fertilization level requires a complex approach. This includes evaluation of the availability of nutrients in the soil (and related soil properties e.g. CEC and texture), the input of nutrients with fertilizer application, and the removal of nutrients by harvested yields. When all these data are compiled, it is possible to evaluate the balance of particular nutrients for certain areas, and make conclusions as to where agricultural practices should be optimized. This kind of research is somewhat complicated, because it relies on completely different sources of data, usually from incomparable data sources, e.g. soil characteristics attributed to soil type areas, in contrast to yields by administrative regions, or farms. A priority tool in this case is the Geographical Information System (GIS), which enables attribution of data from different fields to the same territorial units, and makes possible integration of these data in an "inputoutput" model, where "input" is the natural availability of a nutrient in the soil plus fertilization, and "output" export of the same nutrient with the removed harvested yield.
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2013
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2016
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2016
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2016
