MODELLING THE INFLUENCE OF RADIATA PINE LOG VARIABLES ON STRUCTURAL LUMBER PRODUCTION

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dc.contributor.authorGavilan, Elvis
dc.contributor.authorAlzamora, Rosa M.
dc.contributor.authorApiolaza, Luis A.
dc.contributor.authorSaez, Katia
dc.contributor.authorElissetche, Juan Pedro
dc.contributor.authorPinto, Antonio
dc.date.accessioned2025-01-20T20:15:51Z
dc.date.available2025-01-20T20:15:51Z
dc.date.issued2023
dc.description.abstractWe run logit models to explain the variability of Pinus radiata structural lumber in 71 second and third un-pruned logs. The response variable was the proportion of lumber with a static modulus of elasticity greater or equal than 8000 MPa, pMSG8+, and the explanatory variables were log volume, branch index, largest branch, log internode index, wood basic density, and acoustic velocity. The average pMSG8+ volume was 44,30 % and 36,18 % in the second and third log respectively. Ten models were selected based on meeting statistical assumptions, their goodness of fit, and the statistical significance of their parameters. The best models (R2 -adj. > 0,75) included acoustic velocity (AV) as explanatory variable, which explained 56,25 % of the variability of pMSG8+. Models without AV presented goodness of fit ranging from 0,60 to 0,75 (R2 -adj.), and variables with the highest weight to explain the variability ofpMSG8+ were volume, followed by wood basic density, branch index, and largest branch. It is possible to model pMSG8+ from log variables even when acoustic velocity is not available; however, this requires wood basic density models calibrated for the Pinus radiata growing zone.
dc.fuente.origenWOS
dc.identifier.doi10.4067/s0718-221x2023000100402
dc.identifier.eissn0718-221X
dc.identifier.issn0717-3644
dc.identifier.urihttps://doi.org/10.4067/s0718-221x2023000100402
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/92288
dc.identifier.wosidWOS:000904059800002
dc.language.isoen
dc.revistaMaderas-ciencia y tecnologia
dc.rightsacceso restringido
dc.subjectAcoustic technology
dc.subjectlog variables
dc.subjectPinus radiata
dc.subjectregression models
dc.subjectstructural lumber
dc.titleMODELLING THE INFLUENCE OF RADIATA PINE LOG VARIABLES ON STRUCTURAL LUMBER PRODUCTION
dc.typeartículo
dc.volumen25
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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