Doum fruit, which contains valuable nutritional components and biologically active substances while being readily available, low-cost, and offering numerous health benefits, may present an innovative approach to yogurt fortification. The present study evaluated the physicochemical properties, microbiological counts, total phenolic content, total flavonoid content, antioxidant activity, antimicrobial activity, and sensory properties of set-type yogurt fortified with aqueous extract of doum fruit.

Constipation has emerged as an important public health concern, and novel therapeutic approaches, such as those, are attracting increasing attention. However, the effects and mechanisms of Bifidobacterium breve (B. breve) and Lacto-N-neotetraose (LNnT) in relieving constipation remain incompletely understood. Moreover, the potential synergistic effects of B. breve and LNnT in alleviating constipation are still unclear. In this study, we used 4-wk-old female BALB/c mice (n = 60), which were randomly assigned to normal control (NC) group, model control (MC) group, LNnT group, B.

Transportation is a significant stressor for cattle, but research is lacking regarding preweaning dairy calf transport practices in the United States. Improving our understanding of calf transportation practices can inform management practices that minimize welfare challenges of transport. The objectives of this study were to (1) describe current industry practices regarding transportation of preweaning dairy and beef-on-dairy crossbred calves, (2) determine differences in pre-transport management on dairies between replacement heifers, beef-on-dairy crossbreds, and dairy bull calves, and (3) identify outreach and research needs to address calf welfare concerns related to transportation.

Fermented dairy products are increasingly valued not only for their nutritional content but also for their potential health-promoting properties. However, assessing these functional benefits often requires time-consuming chemical assays that limit scalability. In this study, we investigated whether deep learning (DL) could offer a faster, more efficient alternative. Using liquid chromatography (LC)-MS quadrupole time-of-flight metabolomics, we analyzed 18 fermented milk samples (derived from camel and bovine milk fermented with different bacterial strains) and measured their bioactivity across 9 in vitro assays, including antioxidant capacity (2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid), 2,2-diphenyl-1-picrylhydrazyl), enzyme inhibition (angiotensin-converting enzyme, DH), and anticancer activity (HT-29, MDAMB).

India is home to more than 525 million ruminants, which are major contributors to global warming via enteric methane (EntCH4) emissions. Various mitigation strategies exist to reduce EntCH4 emissions but accurate emission estimates are needed to establish the true potential of these strategies. Measuring EntCH4 emissions is expensive and unrealistic at such a large scale, so an urgent need exists for accurate EntCH4 prediction models. The present study evaluated the accuracy of various existing models and developed a new model to predict EntCH4 emissions from cattle in India.