Method for accurate fiber length determination from increment cores for large-scale population analyses in Norway spruceShow others and affiliations
2016 (English)In: Holzforschung, ISSN 0018-3830, E-ISSN 1437-434X, Vol. 70, no 9, p. 829-838Article in journal (Refereed) Published
Abstract [en]
Fiber (tracheid) length is an important trait targeted for genetic and silvicultural improvement. Such studies require large-scale non-destructive sampling, and accurate length determination. The standard procedure for non-destructive sampling is to collect increment cores, singularize their cells by maceration, measure them with optical analyzer and apply various corrections to suppress influence of non-fiber particles and cut fibers, as fibers are cut by the corer. The recently developed expectation-maximization method (EM) not only addresses the problem of non-fibers and cut fibers, but also corrects for the sampling bias. Here, the performance of the EM method has been evaluated by comparing it with length-weighing and squared length-weighing, both implemented in fiber analyzers, and with microscopy data for intact fibers, corrected for sampling bias, as the reference. This was done for 12-mm increment cores from 16 Norway spruce (Picea abies (L.) Karst) trees on fibers from rings 8-11 (counted from pith), representing juvenile wood of interest in breeding programs. The EM-estimates provided mean-fiber-lengths with bias of only +2.7% and low scatter. Length-weighing and length2-weighing gave biases of-7.3% and +9.3%, respectively, and larger scatter. The suggested EM approach constitutes a more accurate non-destructive method for fiber length (FL) determination, expected to be applicable also to other conifers.
Place, publisher, year, edition, pages
2016. Vol. 70, no 9, p. 829-838
Keywords [en]
Fibers, Forestry, Maximum principle, Nondestructive examination, Optical fibers, Plants (botany), Weighing, Expectation - maximizations, Fiber length, Increment core, Picea abies, Tracheid length, Wood
National Category
Wood Science
Identifiers
URN: urn:nbn:se:ri:diva-12612DOI: 10.1515/hf-2015-0138Scopus ID: 2-s2.0-84983292171OAI: oai:DiVA.org:ri-12612DiVA, id: diva2:971046
2016-09-152016-09-152020-12-01Bibliographically approved