Using a production approach to estimate economic weights for structural attributes of<i>Pinus radiata</i>wood

Alzamora, Rosa M.; Apiolaza, Luis A.; Evison, David

doi:10.1080/02827581.2012.734328

Cited by 7 publications

(6 citation statements)

References 25 publications

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“…The best structural tree presented a high ratio between stiffness and small end diameter (higher than 1: 4) in its structural logs, which resulted in a high recovery of structural grades. Similar results were reported by Alzamora and Apiolaza (2013b) and Alzamora (2010) when using efficiency frontiers to characterize the most efficient logs to produce New Zealand structural grades.…”

Section: Discussionsupporting

confidence: 85%

Building deployment portfolios for genotypes under performance instability

Apiolaza¹,

Alzamora²

2013

Silva Fenn.

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Section: Discussionsupporting

confidence: 85%

Building deployment portfolios for genotypes under performance instability

Apiolaza¹,

Alzamora²

2013

Silva Fenn.

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“…El análisis de fronteras de eficiencia es raramente aplicado a las materias primas como las trozas; sin embargo, el estudio de Todoroki y Carson (2003) en trozas de P. radiata documentó significativas contribuciones para definir prioridades de mejora en las características de volumen y forma para efecto de producir grados de apariencia. En la misma línea, pero usando fronteras paramétricas, Alzamora et al (2013) trabajaron en trozas de P. radiata para producir grados estructurales obteniendo niveles de eficiencia técnica comparables con los de lenga. Puede que este resultado sorprenda, sin embargo, en el estudio de P. radiata se registraron valores muy bajos de módulo de elasticidad dinámico, atributo que es fundamental para definir la calidad estructural.…”

Section: Discussionunclassified

Modelamiento de la eficiencia productiva de trozas de lenga (Nothofagus pumilio) destinadas a la producción de madera aserrada en la Patagonia chilena

Alzamora

Pinto

Ulloa³

et al. 2019

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Un análisis productivo y económico fue realizado sobre una muestra de 184 trozas de lenga (Nothofagus pumilio) obtenidas en el Predio Monte Alto, XII Región, Chile. Las trozas se destinaron a producir las calidades: selecta (S) y común (C1, C2 y C3), y maderas cortas de ancho variable. El análisis de eficiencia productiva se realizó utilizando dos fronteras de producción estocásticas (FE) tipo Cobb-Douglas y Translog. Este enfoque permite modelar funciones de producción y obtener medidas de eficiencia técnica (EFt). Los atributos de troza usados en los modelos fueron diámetro menor, largo y la productividad del proceso. La EFt promedio de las trozas fue 0,85 y 0,78 calculada con FE Cobb-Douglas y Translog, respectivamente, lo que implica que en promedio las trozas podrían reducir el uso de los insumos en 15% o 22% y alcanzar el mismo nivel de producción. Las trozas con mayor EFt (≥ 0,9) se caracterizaron por presentar un diámetro menor promedio de 33 cm en ambos modelos y por generar un valor de recuperación promedio de USD 33 m-3 (a precios de 2017) y USD 29 m-3, respectivamente. Hubo correlaciones positivas y significativas entre la eficiencia, el volumen de los productos de mayor precio y el valor residual de las trozas (r = 0,53; p ≤ 0,05).

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“…The acoustic measurements (AV) in logs to estimate MOE d were collected with the Director HM200 tool (Fibre-gen, New Zealand). Logs attributes assessed in the study have been reported as influencing traits to produce structural lumber from P. radiata (Ivković et al 2006, Jones and Emms 2010, Waghorn et al 2007, and to characterize the most efficient log attributes profile to produce structural lumber grades (Alzamora et al 2013).…”

Section: Log and Lumber Attributesmentioning

confidence: 99%

“…The quality of natural inputs, such as logs, is commonly evaluated by their performance generating products with high prices. Under a production perspective log attributes have the role of input-traits related to lumber production (Alzamora et al 2013). Multipurpose forest tree species, such as P. radiata, feed fiber, structural and appearance wood markets that require different wood trait profiles.…”

Section: Introductionmentioning

confidence: 99%

Modelling the influence of radiata pine log variables on structural lumber production

Gavilán¹,

Alzamora²,

Apiolaza³

et al. 2022

Maderas, Cienc. tecnol.

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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 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 (R 2 -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 (R 2 -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.

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Using a production approach to estimate economic weights for structural attributes ofPinus radiatawood

Cited by 7 publications

References 25 publications

Building deployment portfolios for genotypes under performance instability

Building deployment portfolios for genotypes under performance instability

Modelamiento de la eficiencia productiva de trozas de lenga (Nothofagus pumilio) destinadas a la producción de madera aserrada en la Patagonia chilena

Modelling the influence of radiata pine log variables on structural lumber production

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