Avaliação da madeira de híbridos de Eucalyptus globulus com E. grandis e E. urophylla, para produção de celulose, utilizando espectroscopia NIR

• Autor(a) principal: Milagres, Flaviana Reis
• Data de Publicação: 2009
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: LOCUS Repositório Institucional da UFV
• Texto Completo: http://locus.ufv.br/handle/123456789/2994
• topic: Eucalyptus globulus; Híbridos; Celulose; Qualidade da madeira; NIRS; Eucalyptus globulus; Hybrids; Cellulose; Wood quality; Spectroscopy in the Near Infra-red; CNPQ::CIENCIAS AGRARIAS::RECURSOS FLORESTAIS E ENGENHARIA FLORESTAL::TECNOLOGIA E UTILIZACAO DE PRODUTOS FLORESTAIS

The objective of this study was to analyze the technological characteristics of 75 hybrids of Eucalyptus globulus wood, at three years of age, which resulted from breeding of E. globulus and E. urophylla, the E. globulus being the genitor male. The experiment was implanted in CENIBRA, located in the state of Minas Gerais, Brazil. As reference it was used a Eucalyptus clone commercially planted by this pulp mill. Analyses of the woods chemical constitution was done (extractives in ethanol/toluene and dichloromethane and total lignin content), wood basic density was determined and kraft cooking was carried out. Wood quality prediction models were generated using NIRS technology (Spectroscopy in the Near Infra-red). Regarding the reference clone, the best hybrids of E. globulus have presented forest growth slightly superior and an average basic density of 522 kg/m3, superior to the reference (455 kg m-³). The best E. globulus hybrids presented best pulping characteristics (yield of 53.4% and alkali demand of 15.3%) than the reference clone (51.9% of yield and 17% of alkali). NIRS models were generated for all wood quality parameters, which presented sufficiently high precisions to predict the other hybrids not analyzed in this study. The results obtained demonstrated that the best E. globulus hybrids provided gains in forest productivity as well as in technological qualities and good prediction dos parameters analyzed.