Eduardo Stefani Pagliosa
Universidade Estadual de Londrina
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Publication
Featured researches published by Eduardo Stefani Pagliosa.
Acta Scientiarum-agronomy | 2012
Giovani Benin; Elesandro Bornhofen; Eduardo Beche; Eduardo Stefani Pagliosa; Cristiano Lemes da Silva; Cilas Pinnow
The release of wheat cultivars with different nutritional demands and yield potential hinders generalized recommendations for nitrogen fertilization. This study was designed to evaluate the effects of different nitrogen fertilization levels (0, 60, 120 and 180 kg ha -1 of N) on the agronomic performance of six wheat cultivars ( Triticum aestivum L.) in two harvests. A randomized block factorial design with three replications was used. The response to fertilization levels was evaluated through AMMI (Additive Main effects and Multiplicative Interaction) and GGE (Genotype main effects and Genotype x Environment interaction) biplot graphic methodologies and polynomial regression. There was genetic variability in response to nitrogen fertilization in the cultivars studied. The biggest increases in yield were observed under a more suitable water regime. The higher performance of yield components was associated with higher nitrogen fertilization levels.
Bragantia | 2012
Giovani Benin; Cilas Pinnow; Cristiano Lemes da Silva; Eduardo Stefani Pagliosa; Eduardo Beche; Elesandro Bornhofen; Raphael Rossi Silva
The objective of this study was to evaluate the agronomic performance of wheat cultivars under different management levels. Experiments were carried out in Pato Branco (PR), within crop years 2008 and 2009. The experimental design was randomized blocks in factorial scheme, with three replicates. Treatments consisted in four levels of management, control (E1), traditional (E2) and optimized (E3 and E4), distinguished by level of chemical fertilization and by control of weeds, pests and diseases. Methodologies in AMMI and GGE biplot graphics were used for data analysis. The levels of management maximized the wheat yield, especially when meteorological features were not limiting. Adaptability showed difference among cultivars in the crop managements. The BRS Guamirim cultivar showed adaptability to levels E3 and E4 in crop year 2008, whereas it was associated to E1 and E2 in crop year 2009. Only the cultivars BRS Tangara (E1 and E2) and Pampeano (E3 and E4) kept association consistency to traditional and optimized levels, in both years. Biplot techniques are efficient to indicate more adapted cultivars to levels of crop management in wheat.
Chilean Journal of Agricultural Research | 2014
Leandro Simões Azeredo Gonçalves; Silvério de Paiva Freitas Júnior; Antonio Teixeira do Amaral Júnior; Carlos Alberto Scapim; Rosana Rodrigues; Caillet Dornelles Marinho; Eduardo Stefani Pagliosa
Aiming to estimate the combining ability in tropical and temperate popcorn (Zea mays L. var. everta Sturt.) lines using multivariate analysis, ten popcorn lines were crossed in a complete diallel without reciprocals and the lines and hybrids were tested in two randomized complete block experiments with three replicates. Data were subjected to univariate and multivariate ANOVA, principal component analysis, and univariate and multivariate diallel analysis. For multivariate diallel analysis, variables were divided into group I (grain yield, mean weight of ears with grains, popping expansion, mean number of ears per plant, and final stand) and group II (days to silking, plant height, first ear height, and lodged or broken plants). The P2 line had positive values for agronomic traits related to yield and popping expansion for group I, whereas the P4 line had fewer days to silking and lodged or broken plants for group II. Regarding the hybrids, P2 x P7 exhibited favorable values for most of the analyzed variables and had potential for recommendation. The multivariate diallel analysis can be useful in popcorn genetic improvement programs, particularly when directed toward the best cross combinations, where the objective is to simultaneously obtain genetic gains in multiple traits.
Journal of Applied Microbiology | 2018
Karla Bianca de Almeida Lopes; Valeria Carpentieri-Pipolo; Djordje Fira; Pedro Alberto Balatti; Silvina Marianela Yanil López; Thiago Henrique Oro; Eduardo Stefani Pagliosa; Giuliano Degrassi
This research was aimed at identifying and characterizing endophytic micro‐organisms associated with soybean that have antimicrobial activity towards soybean pathogens.
Acta Scientiarum-agronomy | 2012
Giovani Benin; Elesandro Bornhofen; Eduardo Beche; Eduardo Stefani Pagliosa; Cristiano Lemes da Silva; Cilas Pinnow
The release of wheat cultivars with different nutritional demands and yield potential hinders generalized recommendations for nitrogen fertilization. This study was designed to evaluate the effects of different nitrogen fertilization levels (0, 60, 120 and 180 kg ha -1 of N) on the agronomic performance of six wheat cultivars ( Triticum aestivum L.) in two harvests. A randomized block factorial design with three replications was used. The response to fertilization levels was evaluated through AMMI (Additive Main effects and Multiplicative Interaction) and GGE (Genotype main effects and Genotype x Environment interaction) biplot graphic methodologies and polynomial regression. There was genetic variability in response to nitrogen fertilization in the cultivars studied. The biggest increases in yield were observed under a more suitable water regime. The higher performance of yield components was associated with higher nitrogen fertilization levels.
Acta Scientiarum-agronomy | 2011
Giovani Benin; Elesandro Bornhofen; Eduardo Beche; Eduardo Stefani Pagliosa; Cristiano Lemes da Silva; Cilas Pinnow
The release of wheat cultivars with different nutritional demands and yield potential hinders generalized recommendations for nitrogen fertilization. This study was designed to evaluate the effects of different nitrogen fertilization levels (0, 60, 120 and 180 kg ha -1 of N) on the agronomic performance of six wheat cultivars ( Triticum aestivum L.) in two harvests. A randomized block factorial design with three replications was used. The response to fertilization levels was evaluated through AMMI (Additive Main effects and Multiplicative Interaction) and GGE (Genotype main effects and Genotype x Environment interaction) biplot graphic methodologies and polynomial regression. There was genetic variability in response to nitrogen fertilization in the cultivars studied. The biggest increases in yield were observed under a more suitable water regime. The higher performance of yield components was associated with higher nitrogen fertilization levels.
Pesquisa Agropecuaria Brasileira | 2009
Giovani Benin; Giovani Olegário da Silva; Eduardo Stefani Pagliosa; Cristiano Lemes; Anderson Signorini; Eduardo Beche; Márcio Andrei Capelin
Australian Journal of Crop Science | 2013
E. Beche; C. L. da Silva; Eduardo Stefani Pagliosa; Márcio Andrei Capelin; J. Franke; Gilvani Matei; Giovani Benin
Bragantia | 2010
Thaís Raquel Hagemann; Giovani Benin; Cristiano Lemes; José Abramo Marchese; Thomas Newton Martin; Eduardo Stefani Pagliosa; Eduardo Beche
Semina-ciencias Agrarias | 2012
Alcir José Modolo; Emerson Trogello; Eduardo Stefani Pagliosa; Rivanildo Dallacort; Evandro Marcos Kolling; Maicon Sgarbossa