Non-destructive measurement of nitrogen status of leafy ornamental cuttings by near infrared reflectance spectroscopy (NIRS) for assessment of rooting capacity

被引:22
作者
Lohr, Dieter [1 ]
Tillmann, Peter [2 ,6 ]
Zerche, Siegfried [3 ,7 ]
Druege, Uwe [3 ,7 ]
Rath, Thomas [4 ,8 ]
Meinken, Elke [1 ,5 ]
机构
[1] Weihenstephan Triesdorf Univ Appl Sci, Inst Hort, Freising Weihenstephan, Germany
[2] VDLUFA Qualitatssicherung NIRS GmbH, Kassel, Germany
[3] Leibniz Inst Vegetable & Ornamental Crops IGZ, Erfurt, Germany
[4] Univ Appl Sci Osnabrueck, Lab Biosyst Tech, Osnabruck, Germany
[5] Staudengarten 14, D-85354 Freising Weihenstephan, Germany
[6] Teichstr 35, D-34130 Kassel, Germany
[7] Kuehnhaeuser Str 101, D-99090 Erfurt, Germany
[8] Oldenburger Landstr 24, D-49090 Osnabruck, Germany
关键词
PLSR; Partial least square regression; Chemometrics; Adventitious rooting; ORTHOGONAL SIGNAL CORRECTION; MULTIVARIATE CALIBRATION; DRY-MATTER; SPECTRA; QUALITY; LEAVES; FRUIT; WHEAT; DIGESTIBILITY; PREDICTION;
D O I
10.1016/j.biosystemseng.2016.06.003
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
An adequate nitrogen supply to stock plants is a well-known key factor in adventitious root formation of herbaceous ornamental cuttings. Both slight deficiency and luxury amount of nitrogen in the tissue can impair rooting. Due to a lack of fast, cheap and reliable analytical methods, parameters characterising the nitrogen status of cuttings are not used as quality indicators. Near infrared reflectance spectroscopy (NIRS) might bridge this gap, especially if sample preparation such as drying or grinding is avoided. NIR spectra of intact chrysanthemum and pelargonium cuttings were taken and partial least square regression models were developed for various nitrogen fractions as well as for total nitrogen. Calibration equations with high prediction performance were developed for insoluble, organic and total nitrogen (R-2 > 0.8). Calibration models for various soluble nitrogen fractions were at least suitable for a rough screening (R-2 > 0.6). In a second experiment, calibration models were extended to poinsettia, impatiens and osteospermum cuttings by adding a few samples to the calibration data set. Thus, analysing nitrogen status of ornamental cuttings by NIRS might be a valuable tool for optimisation of stock plant cultivation and assessment of rooting capacity of cuttings. (C) 2016 IAgrE. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:157 / 167
页数:11
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