便携式近红外反射光谱法测定油料饲料营养价值

IF 2.1 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Mulugeta Walelegne, Fentahun Meheret, M. Derseh, M. Dejene, Yonas Asmare, K. Prasad, Chris S. Jones, Robert M. Dixon, A. Duncan
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引用次数: 0

摘要

用近红外反射光谱(NIRS)实验室台式光谱仪测量饲料的营养价值是行之有效的。本研究的目的是检验手持式低成本Tellspec近红外光谱仪测量油籽粕营养价值的可靠性和准确性。从埃塞俄比亚中部的农场、油厂、批发商和零售商店收集样本(n=142),包括加工亚麻籽、诺格籽、棉籽、花生、油菜籽、大豆和葵花籽的副产品。样品按“收到”(UGr)扫描,并在干燥和研磨(Gr)后扫描,并在2x3析因实验设计中扫描一次,两次和十次。总氮(TN)、中性洗涤纤维(NDF)、酸性洗涤纤维(ADF)、酸性洗涤木质素(ADL)和体外有机物消化率(IVOMD)的实验室分析提供了参考测量。使用2/3的光谱子集开发校准模型,并使用其余1/3的样品光谱进行验证。样品形式和扫描次数及其相互作用都显著影响校准模型的准确性(P<0.001)。最准确的校准是扫描10次的Gr样品,其中大多数属性的校准集和验证集(R2cal和R2val)的决定系数均≥0.90。扫描10次的Gr和“收到”样品的预测标准误差(SEP) (g/kg DM)分别为:TN(3.2和4.7)、IVOMD(11.7和20.1)、NDF(26.9和43.8)、ADF(25.3和44.6)和ADL(6.8和10.7)。此外,在扫描前对样品进行干燥和研磨后,各属性的SEP均降低(P<0.05)。对扫描10次的Gr样品,TN、IVOMD、NDF、ADF和ADL的标准偏差与SEP (RPD) g/kg DM的比值分别为2.68、2.30、3.17、3.05和4.06。然而,在东非的情况下,“收到”扫描样品的SEP通常可以接受用于现场和市场的常规分析。综上所述,便携式手持Tellspec近红外光谱仪的近红外校准可以用于测量作为饲料的油籽饼样品的重要营养属性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Near-infrared reflectance spectroscopy using a portable instrument to measure the nutritive value of oilseed meals as livestock feed
Measurement of the nutritive value of feedstuffs with near infrared reflectance spectroscopy (NIRS) laboratory benchtop spectrometers is well-established. The aim of this study was to examine the reliability and accuracy of a handheld low-cost Tellspec NIRS spectrometer for measurement of the nutritive value of oilseed meals.Samples (n=142) comprising byproduct meals from processing linseed, noug seed, cotton seed, groundnut, rapeseed, soybeans, and sunflower seeds were collected from farms, oil factories, wholesalers, and retail shops in central Ethiopia. Samples were scanned ‘as received’ (UGr) and also following drying and grinding (Gr), and were scanned once, twice, and ten times in a 2x3 factorial experimental design. Laboratory analyses of total nitrogen (TN), neutral detergent fiber (NDF), acid detergent fiber (ADF), acid detergent lignin (ADL), and in vitro organic matter digestibility (IVOMD) provided reference measurements. Calibration models were developed using a subset of 2/3 of the spectra and validated using the remaining 1/3 of sample spectra.The sample form and the number of scans, and their interactions, all significantly affected the accuracy of the calibration models (P<0.001). The most accurate calibrations were with Gr samples scanned 10 times, where the coefficient of determination of both calibration and validation sets (R2cal and R2val) were ≥ 0.90 for most attributes. The respective standard errors of prediction (SEP) (g/kg DM) for Gr, and ‘as received’, samples respectively that were scanned ten times were: TN (3.2 and 4.7), IVOMD (11.7 and 20.1), NDF (26.9 and 43.8), ADF (25.3 and 44.6), and ADL (6.8 and 10.7). Also, the SEP for each attribute was reduced (P<0.05) by drying and grinding the sample before scanning. The ratios of the standard deviation of the calibration samples to the SEP (RPD) g/kg DM were 2.68, 2.30, 3.17, 3.05, and 4.06 for TN, IVOMD, NDF, ADF, and ADL, respectively, for Gr samples scanned ten times. Nevertheless, the SEP of samples scanned ‘as received’ would often be acceptable for routine analyses in the field and market-place under east African circumstances.In conclusion, NIRS calibrations for a portable handheld Tellspec NIRS spectrometer could be developed to measure important nutritional attributes of oilseed cake samples as feeds.
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