20 resultados para Sugarcane Saccharum


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Foi avaliada a ocorrência e a distribuição de espécies de fungos micorrízicos arbusculares e A. diazotrophicus em plantios de cana-de-açúcar em diferentes tipos de manejo nos Estados do Rio de Janeiro e Pernambuco. Foram feitas 35 coletas de amostras de solo da rizosfera e de raízes de 14 variedades de cana-de-açúcar para extração de esporos e isolamento da bactéria. O numero de esporos variou de 18 a 2.070/ 100 mL de solo, e os maiores numero e diversidade de espécies foram verificados nos canaviais de Campos, RJ, especialmente naqueles que não adotam a queima de palhico. As espécies predominantes nas três localidades amostradas foram: Acaulospora sp., Scutellospora heterogama, Glomus etunicatum, Glomus occultum e Gigaspora margarita. A. diazotrophicus estava presente nas amostras de raízes colhidas em canaviais de Campos, com exceção de uma coleta de cana-de-açúcar plantada num solo usado como bacia de sedimentação de vinhaça. Não foi possível isolar essa bactéria a partir de esporos desinfestados dos FMAs nativos, apenas dos esporos lavados com agua estéril The occurrence and distribution of species of arbuscular mycorrhizae fungi and Acetobacter diazotrophicus in sugar cane (Saccharum officinarum) grown in different regimes of crop management in the States of Rio de Janeiro and Pernambuco were studied. Thirty five samples of the rhizosphere soil and roots were collected from 14 varieties of sugar cane for the extraction of spores and isolation of the bacterium. The number of spores varied from 18 to 2.070 per 100 mL of soil, and the greatest diversity of fungal species was found in the sugarcane fields of Campos (Rio de Janeiro State), especially in those where the sugarcane trash was not burned at harvest. The predominant species found in the three localities sampled were: Scutellospora heterogama, Glomus etunicatum, Glomus occultum, Glomus macrocarpum, Acaulospora sp. and Gigaspora margarita. A. diazotrophicus was present in almost all samples of root with the exception of one harvest of sugar cane taken from an area used for the sedimentation of vinasse (distillery waste). It was not possible to detect the bacterium from surface sterilised spores of native arbuscular mycorrhizal fungi (AMF), only from washed ones using sterile water.

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2008

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O presente trabalho teve como objetivo determinar a produtividade agrícola e a qualidade tecnológica do caldo das variedades da cana-de-açúcar, submetidas a diferentes regimes hídricos. O delineamento experimental foi em blocos ao acaso com três repetições em parcelas subdivididas, com três variedades RB855156, RB835486 e RB867515 (parcela), e sete regimes hídricos correspondendo a 0, 7, 17, 36, 46, 75 e 100% da ETc (subparcela). Foram avaliadas as características de produção: comprimento do entrenó (CE), peso do colmo (PC), número de perfilhos por hectare e produtividade; e tecnológicos do caldo: ºBrix do caldo, Pol do caldo (Teor de sacarose), pureza (PZA), AR (teor de açúcares redutores do caldo), ARC (açúcares redutores da cana), fibras, Pol da cana (PCC), açúcares totais recuperáveis (ATR) e o valor da megagrama da cana (VMgC). O máximo de produtividade da cana-de-açúcar foi de 182,31 Mg ha-1 registrado com irrigação equivalente a 69,01% da ETc; A cana-de-açúcar cultivada com irrigação equivalente a 75% da ETc não proporcionou diferença significativa para a qualidade industrial das variedades testadas em relação ao cultivo em sequeiro (0% da ETc). Não houve diferença significativa para os valores do teor de açúcares redutores (AR), açúcares redutores da cana (ARC) e a pureza do caldo (PZA) entre as variedades. ABSTRACT: This work aimed to determine the agricultural productivity and the technological quality of the juice of the sugarcane varieties, which were submitted to different hydrological regimes. The experimental design was made in randomized blocks with three repetitions in subdivided plots, with three varieties: RB855156, RB835486 and RB867515 (plot), and seven hydrological regimes corresponding to 0, 7, 17, 36, 46, 75 and 100% of ETc (subplot). The following production characteristics were evaluated: length of internode (LI), stem weight (SW), number of tillers per hectare and productivity; and technological components of the juice: ºBrix of the juice, Pol of the juice (sucrose levels), purity (PTY), RS (amount of reducing sugars of the juice), RSC (reducing sugars of the sugarcane plant), fibers, Pol of the sugarcane plant (CPP), total retrievable sugars (TRS) and the value of the sugarcane megagram (Mg). The maximum productivity of sugarcane was 182.31 Mg ha-1, which was registered with irrigation equivalent to 69.01% of ETc. The sugarcane cultivated with irrigation equivalent to 75% of ETc did not provide significant difference for the industrial quality of varieties tested in relation to the non-irrigated cultivation (0% of ETc). There was no significant difference for the values of reducing sugars (RS), the reducing sugars of the sugarcane plant (RSC) and the juice purity (PTY) among varieties.

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When the harvesting of sugarcane involves a mechanized process, plant residues remain on the soil surface, which makes proximal and remote sensing difficult to monitor. This study aimed to evaluate, under laboratory conditions, differences in the soil spectral behavior of surface layers Quartzipsamment and Hapludox soil classes due to increasing levels of sugarcane?s dry (DL) and green (GL) leaf cover on the soil. Soil cover was quantified by supervised classification of the digital images (photography) taken of the treatments. The spectral reflectance of the samples was obtained using the FieldSpec Pro (350 to 2500 nm). TM-Landsat bands were simulated and the Normalized Difference Vegetation Index (NDVI) and soil line were also determined. Soil cover ranged from 0 to 89 % for DL and 0 to 80 % for GL. Dry leaf covering affected the features of the following soil constituents: iron oxides (480, 530 and 900 nm) and kaolinite (2200 nm). Water absorption (1400 and 1900 nm) and chlorophyll (670 nm) were determinant in differentiating between bare soil and GL covering. Bands 3 and 4 and NDVI showed pronounced variations as regards differences in soil cover percentage for both DL and GL. The soil line allowed for discrimination of the bare soil from the covered soil (DL and GL). High resolution sensors from about 50 % of the DL or GL covering are expected to reveal differences in soil spectral behavior. Above this coverage percentage, soil assessment by remote sensing is impaired.