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Walmes Marques Zeviani
Researcher at Federal University of Paraná
Publications - 59
Citations - 526
Walmes Marques Zeviani is an academic researcher from Federal University of Paraná. The author has contributed to research in topics: Biology & Soil horizon. The author has an hindex of 13, co-authored 54 publications receiving 424 citations. Previous affiliations of Walmes Marques Zeviani include Universidade Federal de Lavras & Instituto Politécnico Nacional.
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Modelagem da curva de retenção de água de Latossolos utilizando a Equação Duplo Van Genuchten
Carla Eloize Carducci,Geraldo César de Oliveira,Eduardo da Costa Severiano,Walmes Marques Zeviani +3 more
TL;DR: In this paper, a double van Genuchten model was proposed to fit the experimental water retention data by non-linear fitting using software R 2.10.1 and Pearson correlation test to evaluate the relationship between the estimated model parameters and the inflection point with soil texture properties.
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Properties of a sandy clay loam Haplic Ferralsol and soybean grain yield in a five-year field trial as affected by biochar amendment
Beata Emoke Madari,Mellissa Ananias Soler da Silva,Mellissa Ananias Soler da Silva,Márcia Thaís de Melo Carvalho,Aline de Holanda Nunes Maia,Fabiano André Petter,Janne L.S. Santos,Siu Mui Tsai,Wesley Gabriel de Oliveira Leal,Walmes Marques Zeviani +9 more
TL;DR: In this paper, the effect of wood biochar as soil amendment, combined with the application of synthetic fertilizer in a zero-tillage system, on soil physical-chemical properties and soybean grain yield in a 5-year field trial settled on a sandy clay loam Haplic Ferralsol of the Brazilian savannah.
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The Gamma-count distribution in the analysis of experimental underdispersed data
Walmes Marques Zeviani,Paulo Justiniano Ribeiro,Wagner Hugo Bonat,Silvia Emiko Shimakura,Joel Augusto Muniz +4 more
TL;DR: In this paper, the authors consider the problem of underdispersion in the Poisson regression model and propose a Gaussian regression model for counting data with underlying assumptions on the generating process which may be implausible in many applications.
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Likelihood analysis for a class of beta mixed models
TL;DR: In this article, a class of Beta mixed models is adopted for the analysis of real problems with grouped data structures, such as hierarchical, repeated measures and longitudinal data structures typically induce extra variability and/or dependence and can be explained by the inclusion of random effects.
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Umidade do solo e doses de potássio na cultura da soja
Milson Evaldo Serafim,Fábio Benedito Ono,Walmes Marques Zeviani,José Oscar Novelino,Joil Vilhalva Silva +4 more
TL;DR: In this article, the effects of K doses and soil humidity levels on soybean agronomic characteristics were evaluated in a greenhouse, in pots with two plants, containing 5 dm3 of soil.