文献类型： 外文期刊

作者： Wang, Haitong ¹ ; Ren, Xiaoli ¹ ; Liu, Li ¹ ; Yang, Zhuo ¹ ; Li, Chunfang ¹ ; Bao, Xiangnan ⁶ ; Amantuer, Ayihumaer ¹ ; Wen, Peipei ¹ ; Wang, Dongwei ¹ ; Zhang, Shujun ¹ ;

作者机构： 1.Huazhong Agr Univ, Frontiers Sci Ctr Anim Breeding & Sustainable Prod, Wuhan 430070, Peoples R China

2.Huazhong Agr Univ, Key Lab Agr Anim Genet Breeding & Reprod, Minist Educ, Wuhan 430070, Peoples R China

3.Henan Dairy Herd Improvement Ctr, Zhengzhou 450046, Peoples R China

4.Xinjiang Acad Anim Sci, Urumqi 830063, Peoples R China

5.Hebei Livestock Breeding Stn, Shijiazhuang 050060, Peoples R China

6.Natl Ctr Technol Innovat Dairy Ind, Hohhot 010020, Peoples R China

关键词： cow; mammary gland health; somatic cell score (SCS); differential somatic cell count (DSCC); immune cell count; milk protein fraction

期刊名称：ANIMALS （ 影响因子：2.7； 五年影响因子：3.2 ）

ISSN： 2076-2615

年卷期： 2025 年 15 卷 11 期

页码：

收录情况： SCI

摘要： Mastitis significantly impacts both the yield and quality of milk. The somatic cell count (SCC) and differential somatic cell count (DSCC), which are related to immune cells, are primary indicators for assessing mammary gland health. In this study, eight previously established mid-infrared spectroscopy models were utilized to predict the content of milk protein fractions (alpha s1-CN, beta-CN, kappa-CN, total CN, alpha-LA, beta-LG, IgG, and LF) in milk samples from 21,388 lactating cows across 33 herds. Four linear mixed models were applied to analyze the secretion patterns of milk protein fractions by days in milk (DIM) and parity, their variations under different mastitis conditions, and their associations with the somatic cell score (SCS), DSCC, and immune cell counts (PMN + LYM score (PMN + LYMS) and MAC score (MACS)). The primary findings of the investigation comprised the following: (1) IgG was higher in early lactation, decreased with advancing lactation days, and slightly increased in late lactation, while seven other protein factions decreased from early to peak lactation and increased during mid-to-late lactation. Parity influenced all milk protein fractions except alpha s1-CN, with total CN, beta-CN, and alpha-LA decreasing and kappa-CN, beta-LG, IgG, and LF increasing as parity increased (p < 0.05). (2) Mastitis significantly reduced the milk yield, fat percentage, protein percentage, and the contents of total CN, beta-CN, kappa-CN, and alpha-LA while increasing beta-LG, IgG, and LF. (3) The SCS was negatively correlated with milk yield and alpha-LA but positively correlated with the fat percentage, protein percentage, kappa-CN, beta-LG, IgG, and LF. (4) When the DSCC increased to 50%, the milk yield decreased, while the milk protein percentage and kappa-CN content significantly increased (p < 0.05). When the DSCC exceeded 50%, the fat percentage, protein percentage, total casein, alpha s1-CN, beta-CN, kappa-CN, beta-LG, IgG, and LF decreased, while the alpha-LA content increased (p < 0.05). (5) When the PMN + LYMS increased, the milk yield and alpha-LA content rose, while the milk fat percentage, the milk protein percentage, and the contents of alpha s1-CN, beta-CN, kappa-CN, total CN, beta-LG, IgG, and LF decreased (p < 0.05). Conversely, when the MACS increased, the milk yield and alpha-LA content declined, whereas the milk fat percentage, the milk protein percentage, and the contents of alpha s1-CN, beta-CN, kappa-CN, total CN, beta-LG, IgG, and LF increased (p < 0.05). This study offers valuable insights into enhancing milk product quality, advancing the early diagnosis and mechanistic research of bovine mastitis, and the sustainable development of the dairy farming industry.