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近红外反射光谱法对猫尾草和苜蓿中中性洗涤可溶碳水化合物的预测

Near-infrared reflectance spectroscopy prediction of neutral detergent-soluble carbohydrates in timothy and alfalfa.

作者信息

Nie Z, Tremblay G F, Bélanger G, Berthiaume R, Castonguay Y, Bertrand A, Michaud R, Allard G, Han J

机构信息

Department of Grassland Science, College of Animal Science and Technology, China Agricultural University, Beijing, P R China, 100094.

出版信息

J Dairy Sci. 2009 Apr;92(4):1702-11. doi: 10.3168/jds.2008-1599.

Abstract

Carbohydrates in forage crops can be divided into neutral detergent-insoluble fiber and neutral detergent-soluble carbohydrates (NDSC); the latter includes organic acids (OA), total ethanol:water-soluble carbohydrates (TESC), starch, and neutral detergent-soluble fiber (NDSF). The accurate and efficient estimation of NDSC in forage crops is essential for improving the performance of dairy cattle. In the present study, visible and near-infrared reflectance spectroscopy (NIRS) were applied to evaluate the feasibility of predicting OA, TESC, starch, NDSF, NDSC, and all related constituents used to calculate these 5 carbohydrate fractions in timothy and alfalfa. Forage samples (n = 1,008) of timothy and alfalfa were taken at the first and second harvests at 2 sites in 2007; samples were dried, ground, and then scanned (400 to 2,500 nm) using an NIRSystems 6500 monochromator. A calibration (n = 60) and a validation (n = 15) set of samples were selected for each species and then chemically analyzed. Concentrations of TESC and NDSC in timothy, as well as starch in alfalfa, were successfully predicted, but many other carbohydrate fractions were not predicted accurately when calibrations were performed using single-species sample sets. Both sets of samples were combined to form new calibration (n = 120) and validation (n = 30) sets of alfalfa and timothy samples. Calibration and validation statistics for the combined sets of alfalfa and timothy samples indicated that TESC, starch, and NDSC were predicted successfully, with coefficients of determination of prediction of 0.92, 0.89, and 0.93, and a ratio of prediction to deviation (RPD) of 3.3, 3.1, and 3.6, respectively. The NDSF prediction was classified as moderately successful The NIRS prediction of OA was unsuccessful All related constituents were predicted successfully by NIRS except ethanol-insoluble residual OM, with Our results confirm the feasibility of using NIRS to predict NDSC, its fractions, and other related constituents, except for OA and ethanol-insoluble residual OM, in timothy and alfalfa forage samples.

摘要

饲料作物中的碳水化合物可分为中性洗涤纤维不溶性纤维和中性洗涤纤维可溶性碳水化合物(NDSC);后者包括有机酸(OA)、总乙醇:水溶性碳水化合物(TESC)、淀粉和中性洗涤纤维可溶性纤维(NDSF)。准确高效地估算饲料作物中的NDSC对于提高奶牛性能至关重要。在本研究中,应用可见和近红外反射光谱(NIRS)来评估预测提摩西草和苜蓿中OA、TESC、淀粉、NDSF、NDSC以及用于计算这5种碳水化合物组分的所有相关成分的可行性。2007年在2个地点对提摩西草和苜蓿的饲料样本(n = 1008)进行了第一次和第二次收获;样本经干燥、研磨后,使用NIRSystems 6500单色仪进行扫描(400至2500nm)。为每个物种选择一组校准样本(n = 60)和一组验证样本(n = 15),然后进行化学分析。提摩西草中TESC和NDSC的浓度以及苜蓿中淀粉的浓度得到了成功预测,但当使用单物种样本集进行校准时,许多其他碳水化合物组分未能准确预测。将两组样本合并,形成新的苜蓿和提摩西草样本校准集(n = 120)和验证集(n = 30)。苜蓿和提摩西草样本合并集的校准和验证统计表明,TESC、淀粉和NDSC得到了成功预测,预测决定系数分别为0.92、0.89和0.93,预测偏差比(RPD)分别为3.3、3.1和3.6。NDSF预测被归类为中等成功。OA的NIRS预测未成功。除乙醇不溶性残留有机物质外,所有相关成分均通过NIRS成功预测。我们的结果证实了使用NIRS预测提摩西草和苜蓿饲料样本中NDSC及其组分以及其他相关成分(OA和乙醇不溶性残留有机物质除外)的可行性。

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