We analyzed the influence of the season, the environment, and the sex, as well as the relation of body mass (BM) in the serum albumin (ALB), aspartate aminotransferase (AST), creatinine (C), creatine kinase (CK), phosphorus (P), total calcium (tCa), total protein (TP), urea (U), uric acid (UA), calcium:phosphorus ratio (Ca:P), and the globulin value (GV) of thirty individuals of Phrynops geoffroanus of the urban area of Cuiabá, Mato Grosso, Brazil. The modeling of biochemical parameters was performed using the Generalized Additive Models for Location, Scale and Shape (GAMLSS) to verify the influence of variables considered in this study on each of the biochemical parameters analyzed. The season influenced AST, CK, C, tCa, Ca:P and UA. The environment influenced tCa, Ca:P, U and UA. On the other hand, CK, tCa, P, Ca:P and U differed significantly between males and females. Regarding the BM, a relationship of this variable was observed with CK, C, tCa, P, U, UA and Ca:P. We concluded that the season, environment, sex, and body mass can influence the biochemical parameters of P. geoffroanus, and these factors should be routinely considered in the interpretation of laboratory results.

This paper aimed to measure the carbonization action in four wood species with different densities formed by a variety with global utilization, eucalyptus grandis, and other three native species from Brazil, cupiuba, guapuruvu and morototoni. The analysis included the verification of damages from carbonization at high temperature as well as the influence of these covariates by the Bayesian Logistic Regression. The analysis verified the convergences from R-Hat diagnostic and Markov chains. Statistical model of temperature-species covariates was selected, since it presents the possibility of a more plausible explanation for the assessed data set. Eucalyptus grandis and guapuruvu wood species showed the greatest damage volumes caused by carbonization. Density was not a covariate that interfered, statistically, in this analysis of high temperature damages. Regarding wood species, the eucalyptus grandis differed significantly from the Bayesian model, both from cupiuba and morototoni woods. The detailed analysis evinced the efficient performance of the Bayesian model, which is an alternative option for studies about the carbonization of forest resources.