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Articles by Francisco Eduardo Torres
Total Records ( 3 ) for Francisco Eduardo Torres
  Paulo Eduardo Teodoro , Carlos Antonio da Silva Junior , Larissa Pereira Ribeiro , Flavia Alves da Silva , Caio Cesar Guedes Corraa , Angelita dos Santos Zanuncio and Francisco Eduardo Torres
  Green manure brings numerous benefits that promote, essentially, the maintenance and conservation of agro-systems and its implementation is fundamental to Brazilian Cerrado region. In this scenario, the present research aimed to determine the sample size for estimation biomass and productivity of sunn and showy rattlebox. The experiment was installed in the experimental area of the State University of Mato Grosso do Sul-Unit University Aquidauana (UEMS/UUA), located in the Brazilian Cerrado. It were randomly selected 45 plants in the experimental area of each crop to determine Fresh Mass (FM), Dry Mass (DM) and yield (YI), being the measures of central tendency, variability, asymmetry and kurtosis were calculated and checked for normality by Lilliefors’s test. In sunn and showy rattlebox, 340 and 197 plants, respectively, are sufficient for the estimation of evaluated descriptors, with confidence interval of 95%. The species evaluated did not differ for the characters FM and DM, both of which are recommended for cultivation in the Cerrado.
  Paulo Eduardo Teodoro , Caio Cezar Guedes Correa , Francisco Eduardo Torres , Jose Francisco de Oliveira-Junior , Carlos Antonio da Silva Junior , Givanildo Gois and Rafael Coll Delgado
  In order to generate information relevant to the Mato Grosso do Sul (MS), the aim was analyze the occurrence of wet and drought periods through the SPI using Standardized Precipitation Index (SPI) in this Brazilian State. Rainfall data of 29 stations (sites) of MS were obtained of the National Water Agency Database collected from 1983-2013. At each site and year, the rainfall daily data were added up to obtain the monthly rainfall (mm month-1), of each month of the year. Thus, were formed 348 time series (12 months×29 sites), that it were used to calculate the SPI in annual scale. The fit was found Normal distribution of 384 time series of monthly rainfall using the Kolmogorov-Smirnov test. The SPI is able to identify the drought and wet periods, when the occurrence of ENOS events, regardless of categorization, in Mato Grosso do Sul State, Brazil. The analysis of the relative frequencies shows that the moderately drought and wet categories stands out about the other categories of SPI. The moderately drought category occurs in episodes of El Niño strong and moderate and moderately wet category in episodes of La Niña strong and weak.
  Francisco Eduardo Torres , Cacilda Borges do Valle , Beatriz Lempp , Paulo Eduardo Teodoro , Adriano dos Santos and Carlos Antonio da Silva Junior
  This work aimed to identify the most effective method to estimate the coefficient of repeatability in genotypes of U. brizantha and predict the minimum number of measurements required for some qualitative traits. It were evaluated 9 genotypes in a randomized block design with two replications in the rainy season and drought in 2000. It were evaluated the following qualitative traits: volume of gas, in mL, packed in fast and slow fraction, crude protein; neutral detergent fiber, acid detergent fiber, cellulose, lignin sulfuric acid, silica and in vitro digestibility of organic matter. The repeatability coefficient (r) was estimated considering different strategies: Analysis of variance, principal component analysis based on the correlation matrix (CPCOR), principal components analysis based on the matrix of phenotypic variance and covariance and structural analysis based on the correlation matrix. The CPCOR method, provided more accurate estimates of r and the number of measurements required for the qualitative traits assessed due to the cyclical behavior of genotypes of U. brizantha. The traits neutral detergent fiber, cellulose and silica require two measurements, while the remaining characters require four measurements to predict the actual value of genotypes of U. brizantha with a minimum accuracy of 80%, by CPCOR method.
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