Method for accurate fiber length determination from increment cores for large-scale population analyses in Norway spruce. Chen, Z., Abramowicz, K., Raczkowski, R., Ganea, S., Wu, H. X., Lundqvist, S., Mörling, T., de Luna, S. S., García Gil, M. R., & Mellerowicz, E. J. Holzforschung, 70(9):829–838, September, 2016. Paper doi abstract bibtex Abstract 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 length 2 -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.
@article{chen_method_2016,
title = {Method for accurate fiber length determination from increment cores for large-scale population analyses in {Norway} spruce},
volume = {70},
issn = {1437-434X, 0018-3830},
url = {https://www.degruyter.com/document/doi/10.1515/hf-2015-0138/html},
doi = {10/f3rwht},
abstract = {Abstract
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 length
2
-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.},
number = {9},
urldate = {2021-06-07},
journal = {Holzforschung},
author = {Chen, Zhi-Qiang and Abramowicz, Konrad and Raczkowski, Rafal and Ganea, Stefana and Wu, Harry X. and Lundqvist, Sven-Olof and Mörling, Tommy and de Luna, Sara Sjöstedt and García Gil, María Rosario and Mellerowicz, Ewa J.},
month = sep,
year = {2016},
pages = {829--838},
}
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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 length 2 -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.","number":"9","urldate":"2021-06-07","journal":"Holzforschung","author":[{"propositions":[],"lastnames":["Chen"],"firstnames":["Zhi-Qiang"],"suffixes":[]},{"propositions":[],"lastnames":["Abramowicz"],"firstnames":["Konrad"],"suffixes":[]},{"propositions":[],"lastnames":["Raczkowski"],"firstnames":["Rafal"],"suffixes":[]},{"propositions":[],"lastnames":["Ganea"],"firstnames":["Stefana"],"suffixes":[]},{"propositions":[],"lastnames":["Wu"],"firstnames":["Harry","X."],"suffixes":[]},{"propositions":[],"lastnames":["Lundqvist"],"firstnames":["Sven-Olof"],"suffixes":[]},{"propositions":[],"lastnames":["Mörling"],"firstnames":["Tommy"],"suffixes":[]},{"propositions":["de"],"lastnames":["Luna"],"firstnames":["Sara","Sjöstedt"],"suffixes":[]},{"propositions":[],"lastnames":["García","Gil"],"firstnames":["María","Rosario"],"suffixes":[]},{"propositions":[],"lastnames":["Mellerowicz"],"firstnames":["Ewa","J."],"suffixes":[]}],"month":"September","year":"2016","pages":"829–838","bibtex":"@article{chen_method_2016,\n\ttitle = {Method for accurate fiber length determination from increment cores for large-scale population analyses in {Norway} spruce},\n\tvolume = {70},\n\tissn = {1437-434X, 0018-3830},\n\turl = {https://www.degruyter.com/document/doi/10.1515/hf-2015-0138/html},\n\tdoi = {10/f3rwht},\n\tabstract = {Abstract\n \n 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 (\n Picea abies\n (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 length\n 2\n -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.},\n\tnumber = {9},\n\turldate = {2021-06-07},\n\tjournal = {Holzforschung},\n\tauthor = {Chen, Zhi-Qiang and Abramowicz, Konrad and Raczkowski, Rafal and Ganea, Stefana and Wu, Harry X. and Lundqvist, Sven-Olof and Mörling, Tommy and de Luna, Sara Sjöstedt and García Gil, María Rosario and Mellerowicz, Ewa J.},\n\tmonth = sep,\n\tyear = {2016},\n\tpages = {829--838},\n}\n\n\n\n","author_short":["Chen, Z.","Abramowicz, K.","Raczkowski, R.","Ganea, S.","Wu, H. X.","Lundqvist, S.","Mörling, T.","de Luna, S. S.","García Gil, M. R.","Mellerowicz, E. 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