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首页> 外文期刊>Animal Feed Science and Technology >Application of near infrared reflectance spectroscopy (NIRS) on faecal samples from lactating dairy cows to assess two levels of concentrate supplementation during summer grazing in alpine pastures
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Application of near infrared reflectance spectroscopy (NIRS) on faecal samples from lactating dairy cows to assess two levels of concentrate supplementation during summer grazing in alpine pastures

机译:近红外反射光谱(NIRS)对哺乳酸奶牛粪便样品的应用评估高山牧场夏季放牧期间浓缩补充水平

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The research aimed at developing a specific near infrared reflectance spectroscopy (NIRS) calibration using faecal spectra to assess two levels of concentrate supplementation provided to lactating dairy cows during summer grazing on alpine pastures. Faecal samples were used as analytical matrix since they are easy to be taken without being invasive for the animals. A total of 153 individual faecal samples were collected from lactating grazing cows in 28 alpine farms located in the highland of Asiago in the Veneto region of Italy during the summer of 2011 (80 samples from 10 farms) and 2012 (73 samples from 18 farms). The average amount of concentrate provided to the lactating cows was recorded in each farm and compared with the legal limit of 20% of the total energy requirement for maintenance and lactation set by the regional law 52/1978 on the use of woodlands and alpine pastures. Dried and ground faeces were subjected to chemical analysis and scanned by NIRS in the region between 1100 and 2500 nm. Faeces from cows supplemented with concentrate above 20% of their total requirement had lower ash (P<0.001), crude protein (P<0.001), and lignin content (P<0.001) but higher starch content (P<0.001) than those from animals supplemented in compliance with the legal limit. A partial least square discriminant analysis (PLS-DA) classification model for the two levels of concentrate supplementation built on NIRS faecal spectra showed variable importance for projection index (VIP) greater than 1 in the regions below 1400 nm, between 1700 and 1750 nm, around 2175 nm and between 2250 and 2300 nm. The model had a good fit for the calibration data with sensitivity and specificity >90%, but poor specificity (55.5%) for the validation samples. The orthogonal pre-processing of data (OPLS-DA) improved classification accuracy, with sensitivity and specificity values >90% also for the validation set. Therefore, this calibration can be proposed as a quick routinely tool to assess the two levels of concentrate supplementation during summer grazing in alpine pastures. (C) 2015 Elsevier B.V. All rights reserved.
机译:旨在使用粪便光谱在夏季放牧在高山牧场上的哺乳酸奶牛提供给哺乳酸奶牛的浓缩浓缩率补充剂的特定近红外反射光谱(NIRS)校准。粪便样品用作分析基质,因为它们易于服用而不侵入动物。在2011年夏天,在28位位于意大利的威尼托地区的28个高山农场中收集了153个单一的粪便样本,从2011年夏天(来自10个农场的80个样品)和2012年(来自18个农场的73个样品) 。在每个农场中记录了向哺乳奶牛提供的平均浓缩物量,并与“区域法”52/1978在使用林地和高山牧场的区域法规设定的维护和哺乳期总能源需求的20%的法定值。干燥的粪便进行化学分析,并在1100和2500nm之间的区域扫描。来自浓缩素的牛的粪便高于总需求的20%具有下灰分(P <0.001),粗蛋白(P <0.001)和木质素含量(P <0.001),但淀粉含量高于那些符合法律限制补充的动物。在NIRS粪便谱上构建的两种浓缩物补充的局部最小二乘判别分析(PLS-DA)分类模型在1400纳米以下的区域,1700至1750 nm之间的投影指数(VIP)的变度重要性显示出大于1的投影索引(VIP),大约在2175纳米和2250到2300 nm之间。该模型具有良好的校准数据,具有灵敏度和特异性> 90%,但验证样本的特异性差(55.5%)。数据(OPLS-DA)的正交预处理提高了分类准确性,具有灵敏度和特异性值> 90%,也可以用于验证集。因此,可以提出这种校准作为快速常规工具,以评估夏季放牧期间的夏季牧场中的两级浓缩补充。 (c)2015 Elsevier B.v.保留所有权利。

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