Measurement of pulpwood traits from a standing tree has considerable advantage when screening large populations for tree selection. It reduces time and also eliminates requirements of transport, powdering, and storing the sample. This study describes estimation of Kraft pulp yield (KPY) in Eucalyptus camaldulensis, E. urophylla, Leucaena leucocephala, and Casuarina junghuhniana by portable NIR spectroscopy of standing trees. Calibration models were developed for KPY estimation using portable NIR spectroscopy for the four species, along with a calibration model for syringyl/guaiacyl (S/G) ratio in E. camaldulensis. The calibration models for KPY showed R² values ranging from 0.93 (E. camaldulensis) to 0.83 (L. leucocephala), and 0.95 for S/G ratio. The developed calibration models for E. camaldulensis and L. leucocephala were compared with laboratory NIR models, and a variation of <±2.0% was found between both methods. The models were validated by both external and cross validation which showed <2.0% RMSEP (root mean square error of prediction) and <2.0% RMECV (root mean square error of cross validation) in external and cross validations, respectively.

在筛选大量种群以进行树木选择时，从立树中测量纸浆木特性具有相当大的优势。它减少了时间，也消除了运输、粉末化和储存样品的要求。本研究描述了通过立树的便携式 NIR 光谱法估计桉树、E. urophylla、Leucaena leucocephala和Casuarina junghuhniana的牛皮纸浆产量 (KPY) 。使用便携式 NIR 光谱法为四种物种开发了 KPY 估计的校准模型，以及E. camaldulensis紫丁香基/愈创木脂 (S/G) 比率的校准模型。KPY 的校准模型显示 R ²值范围从 0.93 ( E. camaldulensis)到 0.83 (L. leucocephala），S/G 比为 0.95。将开发的E. camaldulensis和L. leucocephala校准模型与实验室 NIR 模型进行比较，发现两种方法之间的变化 <±2.0%。模型通过外部和交叉验证进行验证，在外部和交叉验证中分别显示 <2.0% RMSEP（预测的均方根误差）和 <2.0% RMECV（交叉验证的均方根误差）。