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首页> 外文期刊>Appita >Adjusting Near Infrared Wood Property Calibrations For Central Brazil To Predict The Wood Properties Of Samples From Southern Brazil
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Adjusting Near Infrared Wood Property Calibrations For Central Brazil To Predict The Wood Properties Of Samples From Southern Brazil

机译：调整巴西中部的近红外木材性能校准，以预测巴西南部样品的木材性能

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Recent research has shown that accurate whole-tree wood property predictions can be made using calibrations based on near-infrared (NIR) spectra from milled increment cores. In this study, we demonstrate that whole-tree wood property calibrations for lignin and pentosan content, developed with a variety of eucalyptus species and hybrids in central Brazil, may be applied to a separate population of eucalypts in southern Brazil. We randomly selected 2 to 10 samples from southern Brazil and added these to the original calibration set. The ratios of performance to deviation (RPD) for lignin content, pen-tosans, and pulp yield were significantly improved using this method, but density predictions were unimproved. WinlSI software was also used to select the most spectrally representative samples from southern Brazil for addition to the calibration set, but improvements were similar to the randomly selected samples. The addition of four southern samples to the original calibrations did not significantly affect their predictive performance on samples from central Brazil.
机译：最近的研究表明，可以使用基于铣削增量岩心的近红外（NIR）光谱的校准，来进行准确的整棵树木材性能预测。在这项研究中，我们证明了在巴西中部使用多种桉树种和杂种开发的木质素和戊聚糖含量的全树木材特性校准可以应用于巴西南部的另一批桉树。我们从巴西南部随机抽取2到10个样本，并将它们添加到原始校准集中。使用该方法可显着提高木质素含量，戊聚糖和纸浆产量的性能偏差比（RPD），但密度预测未得到改善。 WinlSI软件还用于从巴西南部选择光谱上最具代表性的样品，以添加到校准集中，但改进与随机选择的样品相似。将四个南部样本添加到原始校准中并没有显着影响它们对来自巴西中部样本的预测性能。

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