Wood Anatomy Of Seven Species Of Tachigali (Caesalpinioideae–Leguminosae)

Macedo, Tahysa Mota; Barros, Cláudia Franca; Lima, Haroldo Cavalcante de; Costa, Cristiane Maria Amorim

doi:10.1163/22941932-00000044

Cited by 10 publications

(16 citation statements)

References 23 publications

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“…However, the drying rate of the first clones was higher during the study period and, after 4.5 days of drying, these materials showed lower moisture than C and J clones, a trend that was noted until the end of drying. The clones C and J were 7 years old, and an increase in age results in the production of fibers with greater length and cell wall fraction (PILLAI et al, 2013;MACEDO et al, 2014). This higher cell wall volume reduces wood moisture when saturated and prevents water flow, reducing the drying ra te (KOLLM ANN; CÔTÉ, 1968).…”

Section: Wood Dryingmentioning

confidence: 99%

Artificial Neural Networks as a New Tool for Assessing and Monitoring Wood Moisture Content

et al. 2016

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-Drying of wood is necessary for its use and moisture control is important during this process. The aim of this study was to use artificial neural networks to evaluate and monitor the wood moisture content during drying. Wood samples of 2 × 2 × 4 cm were taken at 1.3 m above the ground, outside of radial direction, from seven 2-year-old materials and three 7-year-old materials. These samples were saturated and drying was evaluated until the equilibrium moisture content, then, the artificial neural networks were created. The materials with higher initial moisture reached equilibrium moisture content faster due to its higher drying rate. The basic density of all wood materials was inversely proportional at the beginning and directly proportional to the moisture at the end of drying. All artificial neural networks used in this work showed high accuracy to estimate the moisture, however, the neural network based on the basic density and drying days was the best. Therefore, artificial neural networks can be used to control the moisture content of wood during drying.Keywords: Eucalyptus urophylla × Eucalyptus grandis; Drying; Modeling.REDES NEURAIS ARTIFICIAIS COMO NOVA FERRAMENTA PARA AVALIAÇÃO E MONITORAMENTO DA UMIDADE DA MADEIRA RESUMO -A secagem da madeira é necessária para sua utilização e o controle da umidade é fundamental durante este processo. O objetivo deste trabalho foi utilizar redes neurais artificiais para avaliar e monitorar a umidade da madeira durante a secagem. Amostras de 2 x 2 x 4 cm foram retiradas a 1,3 metros acima do solo na parte externa no sentido radial de sete materiais de dois anos e três de sete anos de Eucalyptus urophylla x Eucalyptus grandis. Essas amostras foram saturadas e sua secagem avaliada até a umidade de equilíbrio, logo após, foram criadas as redes neurais artificiais. Os materiais com maior umidade inicial atingiram a umidade de equilíbrio mais rápido, devido a maior taxa de secagem. A densidade básica da madeira de todos os materiais foi inversamente proporcional no inicio e diretamente proporcional à umidade no final da secagem. A rede neural artificial baseada na densidade básica e nos dias de secagem apresentou alta precisão para avaliar e monitorar a umidade da madeira. Portanto, as redes neurais artificiais podem ser utilizadas para controle da umidade da madeira durante a secagem.Palavras-chave: Eucalyptus urophylla × Eucalyptus grandis; Modelagem; Secagem. 544Revista Árvore, Viçosa-MG, v.40, n.3, p.543-549, 2016 ZANUNCIO, A.J.V. et al.

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Section: Wood Dryingmentioning

confidence: 99%

Artificial Neural Networks as a New Tool for Assessing and Monitoring Wood Moisture Content

et al. 2016

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“…On the other hand, the botanical family Fabaceae includes among some of its genera Tachigali Aubl., which comprises 102 forest species, this genus currently includes the former genus Sclerolobium, included for various botanical aspects and also for the anatomy of the wood (MACEDO et al, 2014;MOTA et al, 2017). The Tachigali genus has fast-growing species with high biomass production, it can be used for the recovery of areas degraded by the rapid formation of litter, in reforestation and energy production projects, however, it presents few anatomical studies (REIS et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

WOOD ANATOMICAL STRUCTURE AND DENSITY OF Tachigali aubl SPECIES OCCURRING IN THE SOUTHEASTERN PERUVIAN AMAZON FOREST

Cahuana

Kohagura-Arrunátgu²,

Flores-Grandez³

et al. 2023

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Estrutura anatômica da madeira e densidade das espécies de Tachigali aubl presentes na floresta amazônica do sudeste do Peru. As florestas tropicais são submetidas à elevada perda de biodiversidade, apesar da sua importância. No entanto, os estudos tecnológicos da madeira das espécies nativas ainda são insuficientes. Conhecer as informações tecnológicas da madeira de mais espécies é fundamental, para incorporar espécies não tradicionais na lista de espécies comerciais e reduzir o impacto dessas espécies. As técnicas de coleta de amostras não destrutivas do lenho do tronco das árvores são baratas e rápidas e podem fornecer esse conhecimento. Aqui avaliaram-se as propriedades tecnológicas da madeira de três espécies florestais do gênero Tachigali no sudeste da Amazônia do Peru: T. alba, T. chrysaloides e T. vasquezii, usando a técnica de coleta não destrutiva com sonda de Pressler. Foi feita a caracterização anatômica e a determinação das propriedades físicas das madeiras e foram agrupadas de acordo com essas informações tecnológicas visando determinar os usos mais adequados. Os resultados mostram que as três espécies apresentaram parênquima paratraqueal vasicêntrico, com densidade básica que variou de 0,49 a 0,77 g/cm 3 ; finalmente, com base na Análise de Componentes Principais, permitiu-nos caracterizar dois grupos e determinar a sua utilização mais adequada. A aplicação de metodologias não destrutivas em outras espécies poderá ampliar o conhecimento tecnológico da madeira das espécies nativas de forma rápida e econômica. Esse tipo de informação é de vital importância para apoiar o manejo florestal de florestas tropicais e aumentar a lista de espécies comerciais. Palavras-chave: Fabaceae, espécies nativas peruanas, anatomia da madeira, propriedades físicas, sonda de Pressler.

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“…The importance of wood anatomical studies has been demonstrated in the classification and identification of plants based on certain diagnostic characteristics (Carlquist 2001;Akinloye et al 2012;Macedo et al 2014;Elamin 2018). Wood is identified by examining its anatomical features to determine its species, genera, or family.…”

Section: Introductionmentioning

confidence: 99%

Wood anatomical features of Anacardiaceae from Malaysia

Siam

Abdullah

Uyup

et al. 2022

BioRes

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This study examined the anatomical features of Anacardiaceae from Malaysia. A total of 31 species from 13 genera of the family Anacardiaceae in Malaysia were obtained from Kepong Xylarium (KEPw), Forest Research Institute Malaysia. The genera in Anacardiaceae were distinguished based on anatomical features. The diagnostic anatomical features that were used to separate the genera are scalariform perforations plates present in Campnosperma, larger rays in Pentaspadon and Spondias, and radial canals in some genera. Mineral inclusion, i.e., crystals and silica also could be diagnostic features to distinguish the genera in Malaysian Anacardiaceae; silica was observed in Gluta, Parishia, and Swintonia. Anatomical features could be used as indicators to the other wood properties and lead to potential usage of timber in Anacardiaceae. However, the presence of druses in individual Toxicodendron succedaneum indicated its adaptation to the local microclimatic conditions.

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Wood Anatomy Of Seven Species Of Tachigali (Caesalpinioideae–Leguminosae)

Cited by 10 publications

References 23 publications

Artificial Neural Networks as a New Tool for Assessing and Monitoring Wood Moisture Content

Artificial Neural Networks as a New Tool for Assessing and Monitoring Wood Moisture Content

WOOD ANATOMICAL STRUCTURE AND DENSITY OF Tachigali aubl SPECIES OCCURRING IN THE SOUTHEASTERN PERUVIAN AMAZON FOREST

Wood anatomical features of Anacardiaceae from Malaysia

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