Modelling the influence of radiata pine log variables on structural lumber production
| dc.creator | Gavilán, Elvis | |
| dc.creator | Alzamora, Rosa M. | |
| dc.creator | Apiolaza, Luis A. | |
| dc.creator | Sáez, Katia | |
| dc.creator | Elissetche, Juan Pedro | |
| dc.creator | Pinto, Antonio | |
| dc.date | 2022-09-28 | |
| dc.date.accessioned | 2023-03-13T20:59:36Z | |
| dc.date.available | 2023-03-13T20:59:36Z | |
| dc.identifier | https://revistas.ubiobio.cl/index.php/MCT/article/view/5654 | |
| dc.identifier | 10.4067/s0718-221x2023000100402 | |
| dc.identifier.uri | https://revistaschilenas.uchile.cl/handle/2250/224371 | |
| dc.description | We run logit models to explain the variability of Pinus radiata structural lumber in 71 second and third unpruned logs. The response variable was the proportion of lumber with a static modulus of elasticity greater or equal than 8 GPa, 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 of pMSG8+ 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. | en-US |
| dc.format | application/pdf | |
| dc.language | eng | |
| dc.publisher | Universidad del Bio-Bio | en-US |
| dc.relation | https://revistas.ubiobio.cl/index.php/MCT/article/view/5654/4486 | |
| dc.rights | http://creativecommons.org/licenses/by/4.0 | en-US |
| dc.source | Maderas-Cienc Tecnol; Vol. 25 (2023); 1-10 | en-US |
| dc.source | Maderas-Cienc Tecnol; Vol. 25 (2023); 1-10 | es-ES |
| dc.source | 0718-221X | |
| dc.source | 0717-3644 | |
| dc.subject | Acoustic technology | en-US |
| dc.subject | log variables | en-US |
| dc.subject | Pinus radiata | en-US |
| dc.subject | regression models | en-US |
| dc.subject | structural lumber | en-US |
| dc.title | Modelling the influence of radiata pine log variables on structural lumber production | en-US |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion |
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Maderas: Ciencia y Tecnología
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