The aim of this study was to determine the effect of increasing total solids (TS) in the liquid diet during the preweaning phase on mammary gland development in dairy heifers. The increase in TS was obtained with the addition of milk replacer powder to whole milk. Crossbreed Holstein-Gyr heifers (n = 60) were distributed in 4 treatments with different TS concentrations: 13.5% (n = 15), 16.1% (n = 15), 18.2% (n = 15), and 20.4% (n = 15). The liquid diets were provided from 5 to 55 d of age. From 56 to 59 d of age, the total amount of liquid feed was reduced by half. Heifers were weaned at 60 d and monitored until 90 d of age. Ultrasound mammary gland evaluations were performed weekly between 5 to 11 wk of age, using a B-mode ultrasound equipped with microconvex transducer at a frequency of 6 MHz. In those same weeks, the manual palpation of mammary parenchyma (PAR) was performed. Increased TS concentration of liquid diet during the preweaning period increased body weight of heifers, but did not alter PAR growth and the deposition of adipose tissue in the mammary gland evaluated by ultrasonography. The oval-shaped structure of PAR was altered after 2 mo of age. In the evaluated period, PAR growth was isometric with respect to the body growth rate. Palpation scoring of PAR had a strong correlation with the ultrasound evaluation of the PAR.
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http://dx.doi.org/10.3168/jds.2017-12798 | DOI Listing |
Cell Biol Int
January 2025
Microscopy and Microanalysis Center, Institute of Biosciences, Letters and Exact Sciences (IBILCE), São Paulo State University (Unesp), São José do Rio Preto, SP, Brazil.
Mammary glands development is influenced by endocrine signaling, which remodels epithelial and stromal compartments. Reactive stroma phenotype is observed when stromal disturbances occur, leading to changes in extracellular matrix composition and occurrence of reactive cell types. One of the triggers of these alterations is endocrine-disrupting chemical exposure, such as bisphenol A (BPA).
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January 2025
College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China.
Improving mammary gland epithelial cells proliferation through nutrition is an important approach for enhancing sow milk production and piglet growth. An intermediate metabolite of valine, 3-hydroxyisobutyrate (3-HIB), regulates cellular lipid metabolism. In the present study, we investigated the effects of 3-HIB on porcine mammary gland epithelial cells proliferation and lipid metabolism.
View Article and Find Full Text PDFMicroorganisms
January 2025
College of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
Bovine mastitis, a prevalent disease in dairy farms, exerts a profound negative influence on both the health and productivity of dairy cattle, leading to substantial economic losses for the dairy industry. The disease is associated with different bacterial agents, primarily Gram-positive cocci (e.g.
View Article and Find Full Text PDFAnimals (Basel)
January 2025
Jiangsu Key Laboratory of Sericultural and Animal Biotechnology, School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang 212100, China.
In periparturient dairy cows, high non-esterified fatty acids (NEFAs) caused by a severe negative energy balance induce oxidative stress and metabolic dysfunction, which pose a severe challenge to the dairy industry. Resveratrol (RES) is a polyphenolic compound with antioxidant, anti-inflammatory and multiple other physiological effects. However, its effect on oxidative damage triggered by NEFAs in bovine mammary epithelial cells is rarely reported.
View Article and Find Full Text PDFDiagnostics (Basel)
January 2025
School of Molecular Sciences, The University of Western Australia, Crawley, WA 6009, Australia.
The causes of low milk supply are multifactorial, including factors such as gene mutations, endocrine disorders, and infrequent milk removal. These factors affect the functional capacity of the mammary gland and, potentially, the concentrations of milk components. This study aimed to investigate the differences in milk composition between mothers with low and normal milk supply and develop predictive machine learning models for identifying low milk supply.
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