Search Results (4)

In the Trentino Alto Adige region, disposal of grape stalks (GS) represents a major cost for wineries, despite their content of phenolic and tannin-rich compounds with potential functional value in ruminant nutrition. This study evaluated whether dietary GS supplementation could influence milk microbiota and cheese quality, supporting local circular-economy strategies. GS from three red cultivars (L-GS, CS-GS, M-GS) were dried, milled, and assessed for safety; their average total polyphenol content was approximately 15 g/kg DM. 3 Holstein cows underwent a 7-week trial consisting of alternating control (CTRL) and GS-supplemented periods (2% DM). Weekly milk samples (n = 21) and corresponding mini-cheeses (n = 21) were analyzed. GS supplementation did not affect milk coliforms (2.3–2.5 log CFU/mL), while total mesophilic counts were significantly lower in M-GS (2.8 ± 0.46 log CFU/mL) than in CTRL (4.5 ± 0.71; p < 0.05). Acinetobacter dominated the milk microbiota but decreased from 34.0% in CTRL to 18.0% in L-GS. Cheese total polyphenols were highest in CS-GS (224 ± 34 mg/kg). ¹H-NMR and VOCs profiling indicated cultivar-dependent shifts in carbohydrate-related metabolites and short-chain fatty acids. Overall, GS supplementation subtly modulated cheese biochemical and aromatic traits without impairing technological performance, supporting the valorization of winery by-products within integrated dairy-viticulture systems. Full article

The transition period in dairy cows, spanning late pregnancy and early lactation, is associated with substantial metabolic and immunological challenges, leading to increased oxidative stress and inflammation. Selenium (Se), particularly in organic forms, supports antioxidant defenses, immune function, and metabolic regulation. This study investigated the effects of supplementing periparturient Holstein–Friesian cows with orally administered selenitetriglycerides (0.5 mg Se/kg body weight/day starting 12 days before the expected calving date and continuing until parturition) on antioxidant enzyme activity and on the hepatic expression of key inflammatory and metabolic genes. Serum selenium concentrations and erythrocyte glutathione peroxidase (GSH-Px) activity were assessed before and after parturition, and hepatic gene expression levels of tumor necrosis factor alpha (TNF-α), peroxisome proliferator-activated receptor alpha (PPAR-α) and delta (PPAR-δ) were assessed 24 h and 7 days postpartum. Supplemented cows showed significantly elevated serum Se levels and increased GSH-Px activity, reflecting improved antioxidant capacity. Moreover, hepatic expression of TNF-α and PPAR-δ was significantly reduced postpartum in the supplemented group, whereas PPAR-α expression remained stable. These findings indicate that selenitetriglycerides effectively enhance antioxidant defenses, moderate inflammation, and stabilize metabolic pathways during the periparturient phase, potentially reducing postpartum metabolic disorders and improving dairy-cow health. Full article

With the advancement of agricultural intelligence, dairy-cow farming has become a significant industry, and the application of computer vision technology in the automated monitoring of dairy cows has also attracted much attention. However, most of the images in the conventional detection dataset are high-quality images under normal lighting, which makes object detection very challenging in low-light environments at night. Therefore, this study proposed a night-time detection framework for cows based on an improved lightweight Zero-DCE (Zero-Reference Deep Curve Estimation) image enhancement network for low-light images. Firstly, the original feature extraction network of Zero-DCE was redesigned with an upsampling structure to reduce the influence of noise. Secondly, a self-attention gating mechanism was introduced in the skip connections of the Zero-DCE to enhance the network’s attention to the cow area. Then, an improved kernel selection module was introduced in the feature fusion stage to adaptively adjust the size of the receptive field. Finally, a depthwise separable convolution was used to replace the standard convolution of Zero-DCE, and an Attentive Convolutional Transformer (ACT) module was used to replace the iterative approach in Zero-DCE, which further reduced the computational complexity of the network and speeded up the inference. Four different object-detection models, YOLOv5, CenterNet, EfficientDet, and YOLOv7-tiny, were selected to evaluate the performance of the improved network and were tested on the night-time dataset before and after enhancement. Experimental results demonstrate that the detection performance of all models is significantly improved when processing night-time image samples through the enhanced Zero-DCE model. In summary, the improved lightweight Zero-DCE low-light enhancement network proposed in this study shows excellent performance, which can ensure that various object-detection models can quickly and accurately identify targets in low-light environments at night and are suitable for real-time monitoring in actual production environments. Full article

Making judgments of learning (JOLs) while studying related word pairs can enhance performance on tests that rely on cue-target associations (e.g., cued recall) compared to studying alone. One possible explanation for this positive JOL reactivity effect is that the prompt to make JOLs, which typically occurs halfway through the presentation of each pair, may encourage learners to devote more attention to the pair during the second half of the encoding episode, which may contribute to enhanced recall performance. To investigate this idea, an online sample of participants (Experiment 1) and undergraduate students (Experiment 2) studied a set of moderately related word pairs (e.g., dairy–cow) in preparation for a cued recall test. Some participants made JOLs for each pair halfway through the presentation, whereas other participants did not. Also, some participants were presented with a fixation point halfway through the presentation, whereas other participants were not. The goal of this fixation point was to simulate the possible “reorienting” effect of a JOL prompt halfway through each encoding episode. In both an unsupervised online context and a supervised laboratory context, cued recall performance was higher for participants who made JOLs compared to those who did not make JOLs. However, presenting a fixation point halfway through the presentation of each pair did not lead to reactive effects on memory. Thus, JOLs are more effective than a manipulation that reoriented participants to the word pairs in another way (i.e., via a fixation point), which provides some initial evidence that positive reactivity for related pairs is not solely driven by attentional reorienting during encoding. Full article