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Rapid prediction of acid detergent fiber, neutral detergent fiber, and acid detergent lignin of rice materials by near-infrared spectroscopy

文献类型： 外文期刊

作者： Kong, XL 1 ; Xie, JK 2 ; Wu, XL 2 ; Huang, YJ 2 ; Bao, JS 2 ;

作者机构： 1.Zhejiang Univ, Coll Agr & Biotechnol, Inst Nucl Agr Sci, Hangzhou 310029, Peoples R China

2.Zhejiang Univ, Coll Agr & Biotechnol, Inst Nucl Agr Sci, Hangzhou 310029, Peoples R China; Jiangxi Acad Agr Sci, Rice Res Inst, Nanchang 330200, Peoples R China; Jiangxi Agr Univ, Coll Agron, Nanchang 330045, Peoples R China

关键词： rice;near-infrared spectroscopy;acid detergent fiber;neutral detergent fiber;acid detergent lignin;REFLECTANCE SPECTROSCOPY;CHEMICAL-COMPOSITION;DIETARY FIBER;LEUCAENA-LEUCOCEPHALA;AMYLOSE CONTENT;NIR SPECTRA;STRAW;DIGESTIBILITY;PROTEIN;FORAGE

期刊名称：JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY （ 影响因子：5.279； 五年影响因子：5.269 ）

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收录情况： SCI

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.

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