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首页> 外文期刊>Journal of Agricultural and Food Chemistry >Rapid prediction of acid detergent fiber, neutral detergent fiber, and acid detergent lignin of rice materials by near-infrared spectroscopy
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Rapid prediction of acid detergent fiber, neutral detergent fiber, and acid detergent lignin of rice materials by near-infrared spectroscopy

机译：用近红外光谱法快速预测大米材料中的酸性洗涤剂纤维，中性洗涤剂纤维和酸性洗涤剂木质素

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摘要

A rapid predictive method based on near-infrared spectroscopy (NIRS) was developed to measure acid detergent fiber (ADF), neutral detergent fiber (NDF), and acid detergent lignin (ADL) of rice stem materials. A total of 207 samples were divided into two subsets, one subset (similar to 136 samples) for calibration and cross-validation and the other subset for independent external validation to evaluate the calibration equations. Different mathematical treatments were applied to obtain the best calibration and validation results. The highest coefficient of determination for calibration (R-2) and coefficient of determination for cross-validation (1-VR) were 0.968 and 0.949 for ADF, 0.846 and 0.812 for NDF, and 0.897 and 0.843 for ADL, respectively. Independent external validation still gave a high coefficient of determination for external validation (r(2)) and a low standard error of performance (SEP) for the three parameters; the best validation results were SEP 0.933 and r(2) = 0.959 for ADIF, SEP = 2.228 and r(2) = 0.775 for NDF, and SEP = 0.616 and r(2) = 0.847 for ADL, indicating that NIR gave a sufficiently accurate prediction of ADF and ADL content of rice material but a less satisfactory prediction for NDF. This study suggested that routine screening for these forage quality parameters with large numbers of samples is possible with NIRS in early-generation selection in rice-breeding programs.
机译：开发了一种基于近红外光谱（NIRS）的快速预测方法，用于测量稻梗材料的酸性洗涤剂纤维（ADF），中性洗涤剂纤维（NDF）和酸性洗涤剂木质素（ADL）。总共207个样本被分为两个子集，一个子集（类似于136个样本）用于校准和交叉验证，另一个子集用于独立的外部验证以评估校准方程式。应用了不同的数学处理以获得最佳的校准和验证结果。校准的最高确定系数（R-2）和交叉验证的确定系数（1-VR）对于ADF分别为0.968和0.949，对于NDF为0.846和0.812，对于ADL为0.897和0.843。独立的外部验证仍然为外部验证提供了较高的确定系数（r（2）），并且对于这三个参数而言，其性能的标准差较低（SEP）。最佳的验证结果是ADIF的SEP 0.933和r（2）= 0.959，NDF的SEP = 2.228和r（2）= 0.775，ADL的SEP = 0.616和r（2）= 0.847，表明NIR足够准确预测了稻米材料的ADF和ADL含量，但对NDF的预测却不太令人满意。这项研究表明，在水稻育种计划的早期选择中，可以使用NIRS常规筛查大量样本的这些草料质量参数。

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