Global near Infrared Models to Predict Lignin and Cellulose Content of Pine Wood

木质素 辐射松 纤维素 校准 温带气候 辐射 松属 决定系数 环境科学 植物 数学 化学 生物 统计 有机化学 维格纳
作者
Gary R. Hodge,William C. Woodbridge
出处
期刊:Journal of Near Infrared Spectroscopy [SAGE Publishing]
卷期号:18 (6): 367-380 被引量:33
标识
DOI:10.1255/jnirs.902
摘要

Global near infrared models to predict lignin and cellulose content of pine wood were developed using 517 samples for lignin and 457 samples for cellulose. Samples came from seven different pine species, including tropical species ( Pinus caribaea, P. oocarpa, P. maximinoi, P. patula and P. tecunumanii) and temperate species ( P. radiata and P. taeda) from five different countries (Brazil, Colombia, Chile, South Africa and the USA). The global models were tested on an independent validation data set and had excellent fits for lignin [correlation coefficient ( r 2 )=0.97 and standard error of prediciton ( SEP) = 0.44] and good fits for cellulose ( r 2 = 0.82 and SEP = 1.08). Subsets of the data were used to develop smaller multi-species, multi-site calibrations that could be tested on independent datasets containing different species not included in the calibration model. For calibrations based on four or more species, predictions from those models on independent datasets were generally good, with only slight degradation in r 2 and SEP relative to the calibration R 2 and SECV. The results suggest that global calibrations could be valuable in tree breeding programmes to rank species and genotypes for lignin and cellulose content. Species-specific models were developed for two species ( P. tecunumanii and P. taeda) which had sufficient numbers of observations; the global calibrations gave predictions as good as the species-specific calibrations.
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