996 resultados para WATER DEFICIT
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Pós-graduação em Agronomia (Agricultura) - FCA
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The sugarcane is a crop of annual cycle, where its large water demand is not always full, causing stand gaps in the sprouting of ratoons. Thus, this study aimed to assess the stand gaps in the first and second ratoon sugarcane under seven levels of water deficit. The experiment was conducted in the Center of Agricultural Sciences of the Federal University of Alagoas in the period of 22 February 2010 to 20 February 2012. The stand gaps depending on water depths ranged from 11.2 (25% ETo) to 16.8% (100% ETo) in the first ratoon and from 24.8 (0% ETo) to 32.8% (100% ETo) on second ratoon. The average size of stand gaps ranged from 0.60 to 0.68 m in the first ratoon and from 0.70 to 0.74 m on second ratoon. The average distance to find a stand gap ranged from 16.8 to 29.5 m in the first ratoon and from 6.5 to 10.9 m in the second ratoon. The percentage of gaps and the average size of the gaps in the sprouting of ratoon increase with the age of the sugarcane plantation and the average distance between gaps decreases. The use of irrigation in the culture of sugarcane increase the percentage of gaps, but because these spaces are filled with culms of other sugarcane clumps and were irrigated with larger water depths, the agricultural productivity of the culture increases. The depths of irrigation decreases the average distance between gaps with more intensity in the first than in the second ratoon.
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The objective of this study was to simulate the potential stem and sugar yield of sugar cane (Saccharum officinarum L.) in the Northeastern Brazil (Petrolina-PE and Teresina-PI) and analyze 4 varieties in different planting seasons in two environments: irrigated and rainfed cultivars. The model of simulation was DSSAT/CANEGRO (Decision Support System for Agrotechnology Transfer) and the four sugar cane varieties were as follows: RB86 7515, CTC 4, CTC 7 and CTC 20 (all in 1.5 year cycle). Analysis of variance was performed on the results and means were compared using the Tukey test with probability level at 5%. March is the recommended month for planting in Teresina, PI. In Petrolina, PE, rainfed planting is not advisable because of the extended water deficit all year long. In an irrigated environment, no difference was found concerning stem yield as a function of planting season, for all varieties in the study regions. The stem and sugar yields were always higher in irrigated environment as compared with those in rainfed environment in all municipalities and study varieties. The simulation model provided good estimate of stem and sugar yields as compared with experimental data in Teresina, PI.
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Knowing the annual climatic conditions is of great importance for appropriate planning in agriculture. However, the systems of climatic classification are not widely used in agricultural studies because of the wide range of scales in which they are used. A series with data from 20 years of observations from 45 climatological stations in all over the state of Pernambuco was used. The probability density function of the incomplete gamma distribution was used to evaluate the occurrence of dry, regular and rainy years. The monthly climatic water balance was estimated using the Thornthwaite and Mather method (1955), and based on those findings, the climatic classifications were performed using the Thornthwaite (1948) and Thornthwaite and Mather (1955) for each site. The method of Kriging interpolation was used for the spatialization of the results. The study classifications were very sensitive to the local reliefs, to the amount of rainfall, and to the temperatures of the regions resulting in a wide number of climatic types. The climatic classification system of Thornthwaite and Mather (1955) allowed efficient classification of climates and a clearer summary of the information provided. In so doing, it demonstrated its capability to determine agro climatic zones.
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Water deficit is one of the factors which most limit agriculture yield and growth. Although sugar cane has moderate tolerance to drought, it presents high yield losses under the influence of this abiotic factor. Based on this fact, selection of genotypes tolerant to water stress may represent an alternative for decreasing the amount of water used for irrigation, while keeping or increasing yield. This study was performed in order to evaluate the performance of four sugarcane cultivars during initial development under water stress conditions, by means of morphological variables to select more tolerant genotypes to drought. The experiment was carried out in a greenhouse at the Department of Rural Engineering, College of Agricultural Sciences - UNESP/Botucatu – SP, from November 26th 2010 to April 5th 2011. A total of four sugar cane cultivars were evaluated (RB855453, RB92579, RB965902 and RB965917) under two treatments as follows: control (100% field capacity) and water stress (50% field capacity). Evaluations were performed at 0, 28 and 63 days after treatment application. The following morphological variables were analyzed: plant height, leaf area, leaf length, leaf width, number of green leaves, shoot and root dry matter. The RB855453 and RB92579 cultivars produced more shoot and root dry matter under water stress treatment, while the RB965902 and RB965917 cultivars had lower shoot and root dry matter production under the same conditions. Therefore, the RB855453 and RB 92579 cultivars can be considered tolerant while the RB965902 and RB965917 cultivars can be considered susceptible.
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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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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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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Agronomia (Proteção de Plantas) - FCA
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Pós-graduação em Agronomia (Proteção de Plantas) - FCA
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Genotypic, developmental, and environmental factors converge to determine the degree of Crassulacean acid metabolism (CAM) expression. To characterize the signaling events controlling CAM expression in young pineapple (Ananas comosus) plants, this photosynthetic pathway was modulated through manipulations in water availability. Rapid, intense, and completely reversible up-regulation in CAM expression was triggered by water deficit, as indicated by the rise in nocturnal malate accumulation and in the expression and activity of important CAM enzymes. During both up-and down-regulation of CAM, the degree of CAM expression was positively and negatively correlated with the endogenous levels of abscisic acid (ABA) and cytokinins, respectively. When exogenously applied, ABA stimulated and cytokinins repressed the expression of CAM. However, inhibition of water deficit-induced ABA accumulation did not block the up-regulation of CAM, suggesting that a parallel, non-ABA-dependent signaling route was also operating. Moreover, strong evidence revealed that nitric oxide (NO) may fulfill an important role during CAM signaling. Up-regulation of CAM was clearly observed in NO-treated plants, and a conspicuous temporal and spatial correlation was also evident between NO production and CAM expression. Removal of NO from the tissues either by adding NO scavenger or by inhibiting NO production significantly impaired ABA-induced up-regulation of CAM, indicating that NO likely acts as a key downstream component in the ABA-dependent signaling pathway. Finally, tungstate or glutamine inhibition of the NO-generating enzyme nitrate reductase completely blocked NO production during ABA-induced up-regulation of CAM, characterizing this enzyme as responsible for NO synthesis during CAM signaling in pineapple plants.
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The objective of this work was to assess the spatial and temporal variability of sugarcane yield efficiency and yield gap in the state of Sao Paulo, Brazil, throughout 16 growing seasons, considering climate and soil as main effects, and socioeconomic factors as complementary. An empirical model was used to assess potential and attainable yields, using climate data series from 37 weather stations. Soil effects were analyzed using the concept of production environments associated with a soil aptitude map for sugarcane. Crop yield efficiency increased from 0.42 to 0.58 in the analyzed period (1990/1991 to 2005/2006 crop seasons), and yield gap consequently decreased from 58 to 42%. Climatic factors explained 43% of the variability of sugarcane yield efficiency, in the following order of importance: solar radiation, water deficit, maximum air temperature, precipitation, and minimum air temperature. Soil explained 15% of the variability, considering the average of all seasons. There was a change in the correlation pattern of climate and soil with yield efficiency after the 2001/2002 season, probably due to the crop expansion to the west of the state during the subsequent period. Socioeconomic, biotic and crop management factors together explain 42% of sugarcane yield efficiency in the state of Sao Paulo.
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Eficiência agrícola (EA) é utilizada como indicador do nível de desenvolvimento agrícola regional, expressando, por meio da relação entre as produtividades real e atingível, o nível tecnológico empregado nas culturas. Com base nisso, o objetivo deste estudo foi avaliar a EA das culturas da soja, do milho e do trigo para o estado do Rio Grande do Sul, entre os anos de 1980 e 2008, identificando os principais fatores que as condicionaram. A EA foi obtida pela relação entre a produtividade atingível (PA) e a real (PR). A PR foi obtida junto ao banco de dados do Instituto Brasileiro de Geografia e Estatística (IBGE). A PA foi obtida pela estimativa da produtividade potencial (PPf), pelo método de Zona Agroecológica da FAO, deflacionada pelo déficit hídrico em cada uma das fases da cultura. Verificou-se que as EAs médias para as culturas do milho, da soja e do trigo para o RS foram iguais a 54, 61 e 43%, respectivamente. Nas localidades de Santa Rosa, São Borja e Veranópolis, a EA para a soja foi, ao contrário das demais localidades, negativa. Os principais fatores que contribuíram para o aumento da EA, na maioria das localidades, foram: mudanças no uso e fertilidade do solo; uso de mecanização agrícola; preços pagos pelas commodities; investimentos em pesquisa e desenvolvimento; adoção do zoneamento de risco climático; e melhoramento genético.