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Screening Pinus taeda (loblolly pine) families for physical and mechanical properties using vibrational spectroscopy


Metadata FieldValueLanguage
dc.contributorLori Eckhardt, eckhalg@auburn.eduen_US
dc.creatorAcquah, Gifty E.
dc.creatorVia, Brian K.
dc.creatorEckhardt, Lori G.
dc.date.accessioned2020-05-26T00:16:32Z
dc.date.available2020-05-26T00:16:32Z
dc.date.created2016
dc.identifier.urihttps://www.fs.usda.gov/treesearch/pubs/50265en_US
dc.identifier.urihttp://hdl.handle.net/11200/49813
dc.description.abstractIn a bid to control the loblolly pine decline complex, stakeholders are using the selection and deployment of genetically superior families that are disease tolerant. It is vital that we do not compromise other important properties while breeding for disease tolerance. In this preliminary study, near infrared spectroscopy was utilized in conjunction with data collected via conventional methods to develop partial least squares regression models that were used to rapidly predict the basic density, stiffness and ultimate strength of 14 genetically superior loblolly pine families that have been selectively bred to be disease tolerant. Calibration and independent validation data were from southern pines acquired from a commercial sawmill. Seven or eight latent variables were used in model development. The coefficients of determination of the predictive models were more promising for MOE (0.58) and MOR (0.42).en_US
dc.formatPDFen_US
dc.publisherU.S. Department of Agriculture, Forest Service, Southern Research Stationen_US
dc.relation.ispartofProceedings of the 18th biennial southern silvicultural research conference. e-Gen. Tech. Rep. SRS-212en_US
dc.rights© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.subjectDisturbanceen_US
dc.subjectfertilizationen_US
dc.subjectforestsen_US
dc.subjectsilvicultureen_US
dc.subjectregenerationen_US
dc.titleScreening Pinus taeda (loblolly pine) families for physical and mechanical properties using vibrational spectroscopyen_US
dc.typeCollectionen_US
dc.type.genreConference Proceedingen_US
dc.citation.volume212en_US
dc.citation.spage40en_US
dc.citation.epage43en_US
dc.locationAsheville, NCen_US
dc.creator.orcid0000-0003-4269-0903en_US

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