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首页> 外文期刊>Zoo Biology >Near Infrared Reflectance Spectroscopy (NIRS) Analyses of Nutrient Composition and Condensed Tannin Concentrations in Carolina Willow (Salix caroliniana)
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Near Infrared Reflectance Spectroscopy (NIRS) Analyses of Nutrient Composition and Condensed Tannin Concentrations in Carolina Willow (Salix caroliniana)

机译:卡罗来纳州柳树(Salix caroliniana)中营养成分和单宁浓度的近红外反射光谱(NIRS)分析

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摘要

Iron overload disorder has been described in a number of zoo-managed species, and it has been recommended to increase the tannin composition of the diet as a safe way to minimize iron absorption in these iron-sensitive species. The goal of this study was to examine the potential of near infrared reflectance spectroscopy (NIRS) as a rapid and simple screening tool to assess willow (Salix caroliniana) nutrient composition (crude protein: CP; acid detergent fiber: ADF; neutral detergent fiber: NDF; lignin, gross energy: GE) and condensed tannin (CT) concentrations. Calibration equations were developed by regression of the lab values from 2 years using partial least squares on n = 144 NIRS spectra to predict n = 20 independent validation samples. Using the full 2-year dataset, good prediction statistics were obtained for CP, ADF, NDF, and GE in plant leaves and stems (r(2) > 0.75). NIRS did not predict lignin concentrations reliably (leaves r(2) = 0.52, stems r(2) = 0.33); however, CTs were predicted moderately well (leaves r(2) = 0.72, stems r(2) = 0.67). These data indicate that NIRS can be used to quantify several key nutrients in willow leaves and stems including concentrations of plant secondary compounds which, depending on the bioactivity of the compound, may be targeted to feed iron-sensitive browsing animals. (C) 2015 Wiley Periodicals, Inc.
机译:铁过剩症已在许多动物园管理的物种中进行了描述,并且已建议增加日粮中单宁的组成,以将这些铁敏感物种中的铁吸收降至最低的安全方法。这项研究的目的是检验近红外反射光谱(NIRS)作为评估柳树(Salix caroliniana)营养成分(粗蛋白:CP;酸性洗涤剂纤维:ADF;中性洗涤剂纤维: NDF;木质素,总能量:GE)和浓缩单宁(CT)浓度。通过使用n = 144 NIRS光谱上的偏最小二乘来预测n = 20个独立的验证样品,通过使用2年后的实验室值进行回归来开发校准方程。使用完整的2年数据集,可获得植物叶片和茎中CP,ADF,NDF和GE的良好预测统计数据(r(2)> 0.75)。 NIRS不能可靠地预测木质素浓度(叶r(2)= 0.52,茎r(2)= 0.33);但是,CT的预测程度中等(叶r(2)= 0.72,茎r(2)= 0.67)。这些数据表明,NIRS可用于定量柳叶和茎中的几种关键营养素,包括植物次生化合物的浓度,具体取决于该化合物的生物活性,它们可用于饲喂铁敏感的浏览动物。 (C)2015威利期刊公司

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