Du Chao, Nan Liangkang, Li Chunfang, Sabek Ahmed, Wang Haitong, Luo Xuelu, Su Jundong, Hua Guohua, Ma Yabing, Zhang Shujun
Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China.
Hebei Livestock Breeding Station, Shijiazhuang 050000, China.
Animals (Basel). 2021 Apr 22;11(5):1200. doi: 10.3390/ani11051200.
Milk produced by dairy cows is a complex combination of many components. However, at present, changes in only a few milk components (e.g., fat, protein, and lactose) during the estrus cycle in dairy cows have been documented. Mid-infrared (MIR) spectroscopy is a worldwide method routinely used for milk analysis, as MIR spectra reflect the global composition of milk. Therefore, this study aimed to investigate the changes in milk MIR spectra and milk production traits (fat, protein, lactose, urea, total solids (TS), and solid not fat (SnF)) due to estrus. Cows that were successfully inseminated, leading to conception, were included. Cows confirmed to be pregnant were considered to be in estrus at the day of insemination (day 0). A general linear mixed model, which included the random effect of cows, the fixed classification effects of parity number, days in relation to estrus, as well as the interaction between parity number and days in relation to estrus, was applied to investigate the changes in milk production traits and 1060 milk infrared wavenumbers, ranging from 925 to 5011 cm, of 371 records from 162 Holstein cows on the days before (day -3, day -2, and day -1) and on the day of estrus (day 0). The days in relation to estrus had a significant effect on fat, protein, urea, TS, and SnF, whose contents increased from day -3 to day 0. Lactose did not seem to be significantly influenced by the occurrence of estrus. The days in relation to estrus had significant effects on the majority of the wavenumbers. Besides, we found that some of the wavenumbers in the water absorption regions were significantly changed on the days before and on the day of estrus. This suggests that these wavenumbers may contain useful information. In conclusion, the changes in the milk composition due to estrus can be observed through the analysis of the milk MIR spectrum. Further analyses are warranted to more deeply explore the potential use of milk MIR spectra in the detection of estrus.
奶牛产的奶是多种成分的复杂组合。然而,目前仅记录了奶牛发情周期中少数几种奶成分(如脂肪、蛋白质和乳糖)的变化。中红外(MIR)光谱法是一种全球通用的常规用于牛奶分析的方法,因为MIR光谱反映了牛奶的整体成分。因此,本研究旨在调查发情导致的牛奶MIR光谱和牛奶生产性状(脂肪、蛋白质、乳糖、尿素、总固体(TS)和非脂固体(SnF))的变化。纳入了成功授精并受孕的奶牛。确认怀孕的奶牛在授精当天(第0天)被视为处于发情期。应用一个通用线性混合模型,该模型包括奶牛的随机效应、胎次、与发情相关天数的固定分类效应以及胎次与与发情相关天数之间的相互作用,来研究162头荷斯坦奶牛的371条记录在发情前(第 -3天、第 -2天和第 -1天)和发情当天(第0天)的牛奶生产性状和1060个牛奶红外波数(范围为925至5011 cm)的变化。与发情相关的天数对脂肪、蛋白质、尿素、TS和SnF有显著影响,其含量从第 -3天到第0天增加。乳糖似乎不受发情发生的显著影响。与发情相关的天数对大多数波数有显著影响。此外,我们发现一些在吸水区域的波数在发情前和发情当天有显著变化。这表明这些波数可能包含有用信息。总之,通过分析牛奶MIR光谱可以观察到发情导致的牛奶成分变化。有必要进一步分析以更深入地探索牛奶MIR光谱在发情检测中的潜在用途。