Villar-Hernández Bartolo de Jesús, Amalfitano Nicolò, Cecchinato Alessio, Pazzola Michele, Vacca Giuseppe Massimo, Bittante Giovanni
Departamento de Zootecnia, Universidad Autónoma Chapingo, Texcoco 56230, Mexico.
Department of Agronomy, Food and Natural Resources, Animals and Environment (DAFNAE), University of Padova, Viale dell'Università 16, 35020 Legnaro, Italy.
Foods. 2023 Feb 14;12(4):807. doi: 10.3390/foods12040807.
The infrared spectrum of bovine milk is used to predict many interesting traits, whereas there have been few studies on goat milk in this regard. The objective of this study was to characterize the major sources of variation in the absorbance of the infrared spectrum in caprine milk samples. A total of 657 goats belonging to 6 breeds and reared on 20 farms under traditional and modern dairy systems were milk-sampled once. Fourier-transform infrared (FTIR) spectra were taken (2 replicates per sample, 1314 spectra), and each spectrum contained absorbance values at 1060 different wavenumbers (5000 to 930 × cm), which were treated as a response variable and analyzed one at a time (i.e., 1060 runs). A mixed model, including the random effects of sample/goat, breed, flock, parity, stage of lactation, and the residual, was used. The pattern and variability of the FTIR spectrum of caprine milk was similar to those of bovine milk. The major sources of variation in the entire spectrum were as follows: sample/goat (33% of the total variance); flock (21%); breed (15%); lactation stage (11%); parity (9%); and the residual unexplained variation (10%). The entire spectrum was segmented into five relatively homogeneous regions. Two of them exhibited very large variations, especially the residual variation. These regions are known to be affected by the absorbance of water, although they also exhibited wide variations in the other sources of variation. The average repeatability of these two regions were 45% and 75%, whereas for the other three regions it was about 99%. The FTIR spectrum of caprine milk could probably be used to predict several traits and to authenticate the origin of goat milk.
牛乳的红外光谱可用于预测许多有趣的特性,而在这方面关于山羊乳的研究却很少。本研究的目的是表征山羊乳样品红外光谱吸光度变化的主要来源。对隶属于6个品种、饲养在20个传统和现代奶牛场的657只山羊进行了一次采奶。采集了傅里叶变换红外(FTIR)光谱(每个样品2次重复,共1314个光谱),每个光谱包含1060个不同波数(5000至930×cm)处的吸光度值,将这些值作为响应变量并逐一进行分析(即1060次分析)。使用了一个混合模型,该模型包括样品/山羊、品种、羊群、胎次、泌乳阶段的随机效应以及残差。山羊乳FTIR光谱的模式和变异性与牛乳相似。整个光谱变化的主要来源如下:样品/山羊(占总方差的33%);羊群(21%);品种(15%);泌乳阶段(11%);胎次(9%);以及无法解释的残差变异(10%)。整个光谱被划分为五个相对均匀的区域。其中两个区域表现出非常大的变化,尤其是残差变异。已知这些区域受水的吸光度影响,尽管它们在其他变异来源方面也表现出很大差异。这两个区域的平均重复性分别为45%和75%,而其他三个区域约为99%。山羊乳的FTIR光谱可能可用于预测多个特性并鉴定山羊乳的产地。