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首页> 外文期刊>Applied Spectroscopy: Society for Applied Spectroscopy >Fecal Near-Infrared Reflectance Spectroscopy Prediction of the Feed Value of Temperate Forages for Ruminants and Some Parameters of the Chemical Composition of Feces: Efficiency of Four Calibration Strategies
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Fecal Near-Infrared Reflectance Spectroscopy Prediction of the Feed Value of Temperate Forages for Ruminants and Some Parameters of the Chemical Composition of Feces: Efficiency of Four Calibration Strategies

机译:FECAL近红外反射光谱法预测反刍动物的温带饲料的饲料值及粪便化学成分的一些参数:四种校准策略的效率

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摘要

The forage feed value determined by organic matter digestibility (OMD) and voluntary intake (VI) is hard and expensive. Thus, several indirect methods such as near infrared reflectance (NIR) spectroscopy have been developed for predicting the feed value of forages. In this study, NIR spectra of 1040 samples of feces from sheep fed fresh temperate forages were used to develop calibration models for the prediction of fecal crude ash (CA), fecal crude protein (CP), fresh forage OMD, and VI. Another 136 samples of feces were used to assess these models. Four calibration strategies were compared: (1) species-specific calibration; (2) family-specific calibration; (3) a global procedure; and (4) a LOCAL approach. The first three strategies were based on classical regression models developed on different sample populations, whereas the LOCAL approach is based on the development models from selected samples spectrally similar to the sample to be predicted. The first two strategies use feces-samples grouping based on the species or the family of the forage ingested. Forage calibration data sets gave value ranges of 79-327g/kg dry matter (DM) for CA, 65-243g/kg DM for CP, 0.52-0.85g/g for OMD, and 34.7-100.5g DM/kg metabolic body weight (BW0.75) for VI. The prediction of CA and CP content in feces by species-specific fecal NIR (FNIR) spectroscopy models showed lower standard error of prediction (SEP) (CA 15.03 and CP 7.48g/kg DM) than family-specific (CA 21.93 and CP 7.69g/kg DM), global (CA 19.83 and CP 7.98g/kg DM), or LOCAL (CA 30.85 and CP 8.10g/kg DM) models. For OMD, the LOCAL procedure led to a lower SEP (0.018g/g) than the other approaches (0.023, 0.024, and 0.023g/g for species-specific, family-specific, and global models, respectively). For VI, the LOCAL approach again led to a lower SEP (6.15g/kg BW0.75) than the other approaches (7.35, 8.00, and 8.13g/kg BW0.75 for the species-specific, family-specific, and global models, respectively). LOCAL approach performed on FNIR spectroscopy samples gives more precise models for predicting OMD and VI than species-specific, family-specific, or global approaches.
机译:通过有机物质消化率(OMD)和自愿摄入(VI)确定的饲料进料值是艰难的且昂贵的。因此,已经开发了几种间接方法,例如近红外反射率(NIR)光谱,用于预测饲料的馈送值。在该研究中,使用来自绵羊新鲜温带饲料的1040个粪便样品的NIR光谱来开发用于预测粪便原油(CA),粪便粗蛋白(CP),新鲜饲料OMD和VI的校准模型。使用另外136个粪便样本来评估这些模型。比较了四种校准策略:(1)特异性校准; (2)特定家庭的校准; (3)全球程序; (4)局部方法。前三种策略是基于在不同样本群体上开发的经典回归模型,而本地方法基于来自所选样本的开发模型,类似于要预测的样本。前两种策略使用粪便样本基于物种或饲养的家族进行分组。 Forage校准数据组给出了Ca,65-243g / kg DM的79-327g / kg干物质(DM)的值范围,OMD为0.52-0.85g / g,34.7-100.5g DM / kg代谢体重(BW0.75)为VI。物种特异性粪便NIR(FNIR)光谱模型对粪便中CA和CP含量的预测显示出比家庭特异性预测(SEP)(CA 15.03和CP 7.48g / kg DM的较低标准误差(CA 21.93和CP 7.69 G / kg DM),全局(CA 19.83和CP 7.98G / kg DM),或本地(CA 30.85和CP 8.10G / kg DM)型号。对于OMD,本地程序导致了比其他方法(0.023,0.024和0.023g / g分别用于种类特异性,家庭特异性和全球模型的0.018g / g)。对于VI而言,本地方法再次导致了比其他方法(7.35,8.00和8.13g / kg bw0.75为较低的SEP(6.15g / kg bw0.75),用于特定的家庭特定的,家庭特异性和全球模型分别)。对FNIR光谱样品进行的局部方法提供了更精确的模型,用于预测OMD和VI而不是特定的家庭特异性或全球方法。

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