Limites de precaução e controle em análises de tecidos vegetais de espécies florestais

• Ano de defesa: 2006
• Autor(a) principal: Rossato, Rafael Augusto Rossato de
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Santa Maria; BR; Recursos Florestais e Engenharia Florestal; UFSM; Programa de Pós-Graduação em Engenharia Florestal
• Palavras-chave em Português: Acacia mearnsii; Eucalyptus sp; Pinus sp; Distribuição de probabilidade; Lilliofors; Kolmogorov-Smirnov; Distribution of probability; CNPQ::CIENCIAS AGRARIAS::RECURSOS FLORESTAIS E ENGENHARIA FLORESTAL
• Link de acesso: http://repositorio.ufsm.br/handle/1/8646

The present work has objective to define wich is the distribution of probability that analysis of nutritional contents are adjusted, selecting a function that better explain its behavior and to estimate the limits values of nutrients contents for it classification on several vegetables tissues. It were used 176 datas et colected from 15,534 nutritional analysis of three forest species, Acacia mearnsii, Eucalyptus sp. and Pinus sp., determinated for 1999 to 2004 period, in Forest Ecological Laboratory, in UFSM. The analysis were separated by subgroups in macro and micronutrients, vegetables components (leaves, bark, wood, root), species and year of determination. The database determination trough it statistical describe with mean, standart-deveation, number of observations, maximum and dataset adjusts a Normal distribution, it was aplicated the Lilliofors Test. Where the dataset didn´t adjust the Normal, it was tested the functions Log-normal, Beta, Gamma and Weibull through Kolmogorov-Smirnov Test, with 5%. It was possible determinated that 70% of all dataset valued adjusts one of functions, being the Normal presented of 33.5% of settlings, the Log-normal 27.3%, the Gamma 3.4%, the Weibull 5.7% and the Beta function didn´t presented no one settling. Of all amount dataset valued, 30.1% didn´t adjust any one functions. The studied functions, exception Beta, can explain the results from chemical analysis of vegetables tissues and establis hed the control limits of nutrient contents in each species.