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dc.contributor.authorPsaltis, Steven
dc.contributor.authorKumar, Chandan
dc.contributor.authorTurner, Ian
dc.contributor.authorCarr, Elliot J
dc.contributor.authorFarrell, Troy
dc.contributor.authorBrancheriau, Loic
dc.contributor.authorBailleres, Henri
dc.contributor.authorLee, David J
dc.date.accessioned2021-10-11T06:19:44Z
dc.date.available2021-10-11T06:19:44Z
dc.date.issued2021
dc.identifier.issn1286-4560en_US
dc.identifier.doi10.1007/s13595-021-01093-wen_US
dc.identifier.urihttp://hdl.handle.net/10072/408817
dc.description.abstractKey message: Increment cores can provide improved predictive capabilities of the modulus of elasticity (MOE) of sawn boards. Multiple increment cores collected at different heights in a tree provide marginally increased accuracy over a single breast-height core, with higher labour costs. Approximately 50% of the variability of the static bending MOE of individual boards is explained by the predicted MOE obtained from a single increment core taken at breast height. Context: Prediction of individual board MOE can lead to accurate optimisation of the value extracted from forest resources, and enhanced decision-making on the management and allocation of the resource to different processors, and improve the processors ability to optimise grade allocation. Aims: The objective of this study is to predict the MOE of individual sawn boards from the MOE measured from cores collected from standing trees. Methods: A five-parameter logistic (5PL) function and radial basis function interpolants are used to obtain a continuous distribution of MOE throughout a log. By developing a “virtual sawing” methodology, we predict the individual board MOE for sixty-eight trees consisting of locally developed F1 and F2 hybrid pines (Pinus caribaea var. hondurensis × Pinuselliottii var. elliottii). Results: Moderate correlations for individual board predictions are observed, with R2 values ranging from 0.47 to 0.53. Good correlations between average predicted board MOE and average measured MOE are also observed, with R2 ≈ 0.83. A pseudo-three-dimensional approach, accounting for variation in height in the tree, affords marginally greater accuracy and predictive capability at the cost of increased data collection and processing. By using a single breast-height core, we can obtain a similar level of prediction of individual board MOE. Conclusion: We have presented a novel non-destructive evaluation approach to predict the MOE of individual boards sawn from trees. This approach can be adapted to other wood properties, and other wood products obtained from trees.en_US
dc.description.peerreviewedYesen_US
dc.languageEnglishen_US
dc.publisherSpringeren_US
dc.relation.ispartofpagefrom78en_US
dc.relation.ispartofissue3en_US
dc.relation.ispartofjournalAnnals of Forest Scienceen_US
dc.relation.ispartofvolume78en_US
dc.subject.fieldofresearchForestry sciencesen_US
dc.subject.fieldofresearchcode3007en_US
dc.subject.keywordsScience & Technologyen_US
dc.subject.keywordsLife Sciences & Biomedicineen_US
dc.subject.keywordsForestryen_US
dc.subject.keywordsNon-destructive evaluation (NDE)en_US
dc.subject.keywordsWood qualityen_US
dc.titleA new approach for predicting board MOE from increment coresen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Articlesen_US
dcterms.bibliographicCitationPsaltis, S; Kumar, C; Turner, I; Carr, EJ; Farrell, T; Brancheriau, L; Bailleres, H; Lee, DJ, A new approach for predicting board MOE from increment cores, Annals of Forest Science, 2021, 78 (3), pp. 78en_US
dc.date.updated2021-10-04T22:15:35Z
gro.hasfulltextNo Full Text
gro.griffith.authorBailleres, Henri


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