998 resultados para Acordo ortográfico


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Objective: The aim of our study was to assess the likelihood of IUI success as a function of the previously described predictive factors, including sperm morphology according to the new reference values defined by WHO. Material and Methods: This retrospective study enrolled 300 couples which underwent IUI. Regression analyses were used to correlate maternal age, number of preovulatory follicles on the day of hCG administration, number of inseminated motile sperm, and normal sperm morphology with clinical pregnancy. Results are expressed as odds ratio (OR) with 95% of confidence intervals (CI). Results: Women older than 35 years showed a lower pregnancy rate (6.5% vs 18.2%, p=0.017). Logistic regression models confirmed the lower chance of pregnancy occurrence for older women (OR: 0.39; CI: 0.16-0.96; p=0.040). The presence of two or more preovulatory follicles on the day of hCG administration resulted in higher pregnancy rate when compared to cases in which only one preovulatory follicle was present (18.6% vs 8.2%, p=0.011). The regression model showed a more than two fold increase on probability of pregnancy when two or more preovulatory follicles were detected (OR: 2.58; CI: 1.22-5.46, p=0.013). The number of inseminated motile sperm positively influenced pregnancy occurrence (OR: 1.47; CI: 0.88-3.14, p=0.027). Similar pregnancy rates were observed when semen samples were classified as having normal or abnormal morphology (10.6% vs 10.2%, p=0.936). Conclusion: Our results demonstrate that sperm morphological normalcy, according to the new reference value, has no predictive value on IUI outcomes. © Todos os direitos reservados a SBRA - Sociedade Brasileira de Reprodução Assistida.

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Knowledge about irrigated agricultural area and its geographical distribution are of great importance to water resources management. Evolution of irrigated area according to the irrigation method allows an identification of rational water technologies. The aim of this work was to analyze the information presented in the agricultural census of 1995/1996 and of 2006. Brazil has an area of 4.45 million cultivated hectares with irrigation. It is noticed that according to the 1995/1996 census, the irrigated area increased 1.3 million hectares, a growth of 42%. The Southeast region surpasses the South region which had, in 1995/96, the largest irrigated area. The Northeast region is the third irrigated agricultural area with 22.12 %, while the Central-west and the Northern region together sum 14.7%. According to the agricultural census 2006 classification, sprinkler irrigation (without center pivot) method is the most used,followed by flood, center pivot, other methods, drip and furrow, representing 35.3%, 24.4%, 18.9%, 8.3%, 7.4% and 5.8%, respectively.

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Rustic forages as the signal-grass are predominant in areas of Cerrado in extensive livestock systems that favor soil degradation. However, with time, not even these forages can have a good development in those areas. The objective of this study was to analyze the variability of plant and soil attributes; to define the linear and spatial correlations between signal-grass yield and the chemical attributes of the studied soil, and to evaluate, among the chemical attributes of the soil, which one that best explain the variability in this forage yield. The experiment was conducted in an area that had been under pasture for more than 30 years, belonging to UNESP - Ilha Solteira Campus, located in Selvíria - MS. A geostatistical grid was installed in an oxisol, for soil and plant data collection, with 121 sampling stations, consisted of eleven transections with 160 m width in the direction of the Cartesian axes. The dry mass yield of signal-grass was low, presenting high variation. The attributes MSr, N, PB, MO1, MO2, pHa1, pHa2, pHk1 and pHk2 did not vary at random. They presented data variability from low to high and followed clearly defined spatial patterns, ranging between 17.7-162.9 m. There was significant linear correlation at 1% between MSr and N leaf, and between MSr and PB. The cross semivariograms MSr=f(N) and MSr=f(PB) confirmed that the dry matter can be estimated from data of nitrogen leaf and crude protein content of this forage.

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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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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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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)