ABSTRACT: Subacute ruminal acidosis can cause liver injury in ruminants. Ferroptosis, an iron-dependent cell death, is involved in many liver diseases. This study aimed to investigate ferroptosis in SARA-induced liver injury and explore the changes in hepatic iron metabolism. Twelve ruminally cannulated, lactating Hu sheep (parity: 2 or 3; BW: 50.6 ± 4.0 kg; 18.8 ± 3.6 DIM; MY: 0.52 ± 0.08 kg/d; mean ± SD) were divided into 2 groups (n = 6/group) and fed a low-grain diet (LG; grain/forage ratio = 3:7, 24.89% starch and 40.66% NDF) or a high-grain diet (HG; grain/forage ratio = 7:3, 38.64% starch and 24.41% NDF) for 8 wk. Rumen pH was measured weekly 10 min before feeding and 1, 2, 3, 4, 5, 6, and 8 h after feeding. On d 57, all sheep were slaughtered after collecting hepatic vein blood, and liver tissue was collected. The HG diet significantly decreased rumen pH compared with the LG diet; the rumen pH on d 56 in the HG group was <5.6 at 1, 2, 3, and 4 h after feeding. Plasma concentrations of LPS, malondialdehyde (MDA), IL-1β, and IL-6 at 4 h after feeding increased, whereas glutathione (GSH) and glutathione peroxidase 4 (GPX4) decreased. Moreover, lipid reactive oxygen species, ferrous ion, and MDA were elevated, whereas GSH was decreased in the liver of the HG group. For ferroptosis-related proteins, feeding a high-grain diet led to increased acyl-CoA synthetase long chain family member 4 (ACSL4) and arachidonate 15-lipoxygenase (ALOX15) and decreased GPX4 and solute carrier family 7 member 11 (SLC7A11). For ferritinophagy-related proteins, feeding a high-grain diet decreased ferritin heavy chain 1 (FTH1) and increased nuclear receptor coactivator 4 (NCOA4) and microtubule-associated protein 1 light chain 3 II (MAP1LC3-II). Regarding iron metabolism, increased protein expression of nuclear mothers against decapentaplegic homolog1/5/8 (SMAD1/5/8) and hepcidin, decreased protein expression of ferroportin, and iron deposits were observed in the liver of the HG group. Furthermore, feeding high-grain diets also increased inflammatory signaling-related proteins IL-6 and phospho-signal transducer and activator of transcription 3 (p-STAT3). Taken together, this study suggests that SARA induced liver injury and ferroptosis. Enhanced ferritinophagy, disordered iron metabolism, and elevated inflammatory response may mediate ferroptosis in the livers of sheep fed a high-grain diet.
ABSTRACT: Activation of the endocannabinoid system (ECS) elicits negative effects on the reproductive system in mammals. Supplementation with n-3 fatty acid (FA) lowers ECS activation and has anti-inflammatory effects. Thus, we hypothesized that supplementing cows with n-3 FA will downregulate components of the ECS and immune system in preovulatory follicles and in the endometrium. Twenty-four multiparous Holstein dairy cows were supplemented from d 256 of pregnancy to d 70 postpartum as follows: (1) control (CTL; n = 12), prepartum with 250 g/d per cow calcium salts of FA and postpartum at 1.6% of the diet (DM basis); or (2) extruded flaxseed (FLX; n = 12) supplement rich in α-linolenic acid (C18:3n-3), prepartum with 700 g/d per cow and postpartum at 6.4% of diet (DM basis). Ovaries were monitored at 30 DIM, and following estrous cycle synchronization we aspirated the follicular fluids (FF) of follicles ≥7 mm, separated the granulosa cells (GRC), and performed endometrium biopsies at 58 ± 5 DIM. The FF were analyzed for concentrations of estradiol (E2) and progesterone (P4), and E2-active follicles were declared when E2/P4 was >1. The FA and endocannabinoid (eCB) profiles were determined in plasma and in the reproductive tissues. Proteomic analyses and mRNA abundances were determined in GRC and endometrium. Supplementation of n-3 FA increased the proportion of total n-3 FA and decreased the ratio of n-6 to n-3 ratio in plasma, FF and GRC compared with CTL. In plasma and FF, n-3 FA supplementation decreased the proportion of the n-6 FA eCB precursor arachidonic acid (ARA; C20:4n-6), and increased the abundance of the n-3 FA-derived eCB eicosapentaenoyl ethanolamide compared with CTL. In the endometrium, n-3 FA supplementation reduced the abundance of the n-6 FA-derived eCB 2-arachidonoylglycerol (2-AG) compared with CTL. Proteomic analysis of GRC showed that n-3 FA supplementation increased the abundance of FA-binding-protein-5, which is involved in intracellular transport of eCB, as well as the abundances of the cytokine receptor like factor-2 and glutathione-S-transferase-LANCL1, whereas it reduced the abundances of several complement proteins: complement factors I, D, H, complement components C7 chain and C8 β chain, and complement component 1 Q subcomponent-binding protein, mitochondrial (C1QBP). In addition, the abundance of superoxide dismutase (SOD3) was lower in FLX GRC than in CTL. In the endometrium, n-3 FA supplementation decreased the abundance of a few immune-related proteins. In the GRC, n-3 FA supplementation reduced the relative mRNA abundances of cannabinoid receptors 1 and 2 compared with CTL. Across treatments, a positive correlation was found between the relative abundance in FF of the eCB anandamide with C7, C1QBP, and SOD3 in GRC, whereas FF 2-AG had a negative correlation with them. Overall, in line with our premise, dietary n-3 FA supplementation attenuated the levels of some eCB and reduced the expression of several proteins and genes related to the ECS and immune system in the preovulatory follicle and in the endometrium, which may be part of the etiology of the positive effects of n-3 FA on the reproductive system in dairy cows.
David B. Sheedy, Helen M. Golder, Sergio C. Garcia
et al.
ABSTRACT: Body condition score and BW yield insights into body tissue reserves and diet, and serum biochemical measures reflect the metabolic status of cows. Associations between body composition measures and biochemistry are unclear and investigation may reveal important information on the metabolic and physiological status of cattle with varying levels of labile tissue reserves. Cohorts of 739 nonlactating, late-pregnancy, dry cows (26.9 d prepartum, SD = 12.4) and 690 peak-milk cows (58.0 DIM, SD = 14.5) were selected by stratified (parity: 1, 2, 3, >3) random sampling from 30 farms (15 pasture, 15 TMR) in this cross-sectional study. A single serum, BCS (1–5 scale), BW, and milk-production datum was collected per cow, per cohort between November 2022 and July 2023. Eleven analytes were collected, analyzed, and standardized within group (cohort/breed per farm). Mixed linear models for BCS and BW were specified, with the random effect of group. A 6-point, unordered, categorical body-group classification that combined BCS (greater, equal to, or less than group median; as high, median, or low BCS) and BW (greater or less than group median; as high or low BW) was analyzed by polytomous logistic regression. Effect sizes are listed for a 1 SD increase in the specified analyte, keeping other covariables at their mean value. Dry BCS was positively associated with albumin (0.075 BCS ± 0.014 SE), urea (0.038 BCS ± 0.014 SE), and glucose (0.052 BCS ± 0.014 SE), and negatively with the interaction between cholesterol and days precalving. Dry BW positively associated with albumin (11.03 kg ± 2.48 SE) and negatively with cholesterol (−8.47 kg ± 2.57 SE). Peak-milk BCS was positively associated with albumin (0.47 BCS ± 0.015 SE), BHB (0.048 BCS ± 0.015 SE), and glucose (0.051 BCS ± 0.015 SE). Peak-milk BW was positively associated with albumin (6.94 kg ± 2.35 SE) and negatively with Ca (−7.02 kg ± 2.33 SE). Increasing BW and decreasing BCS was associated with increasing parity, except in dry second-parity cows that had low BCS. The dry polytomous model associated a 1 SD increase in albumin with a 4.89% ± 1.56 SE decreased risk of being low BCS/low BW and 5.87% ± 1.46 SE increased risk of high BCS/high BW. Risk change associated with 1 SD of glucose was −5.61% ± 1.58 SE for low BCS/high BW and 3.17% ± 1.58 SE for high BCS/high BW. For the peak-milk cohort, change in risk was associated with albumin for low BCS/low BW −3.67% ± 1.56 SE, low BCS/high BW −3.22% ± 1.53 SE. Risk change with 1 SD of BHB was −3.36% ± 1.47 SE for median BCS/low BW, 2.86% ± 1.44 SE for high BCS/low BW, and 2.69% ± 1.37 SE for high BCS/high BW. Risk of low BCS/low BW was greatest in second-parity cows, and high BCS/high BW was greatest in dry cows with greater than third parity and third-parity cows in peak milk. There were no interactions between parity and analytes. Albumin was consistently associated with BCS and BW, potentially reflecting innate differences in protein metabolism of cows.
ABSTRACT: Body condition dynamics are known to affect the different steps of reproduction in cattle (cyclicity, estrus expression, fertilization, embryo development). This has led to a widespread idea that there is an ideal-target optimal body condition, but no clear profile has yet been identified. Here we investigated the relationships between BCS profiles and reproductive performance in dairy cows. Data were from Holstein or Normande herds in 6 French experimental farms. In the Holstein breed, we discriminated 4 BCS profiles based on combining BCS at calving (Low indicates BCS ∼2.6 points at calving; High indicates BCS ∼3.3 points at calving) with BCS loss after calving (Moderate [M] indicates BCS loss of ≤1.0 points at calving; Severe [S] indicates BCS loss of >1.0 points at calving). The Low-S profile mostly included multiparous cows with higher milk yield and lower reproductive performance than cows in the 3 other profiles. Low-S cows that experienced abnormal ovarian activity had lower reproductive performance than their profile-mates. Moreover, 67% of Low-S cows kept the same profile at the following lactation. The High-M profile mostly included primiparous cows with lower milk yield and higher reproductive performance than cows in other profiles. In High-M cows, higher milk yields correlated with higher risk of failure to calf on first insemination. Moreover, 38% of High-M cows kept the same profile at the following lactation, and none changed to Low-S. The other 2 BCS profiles (Low-M and High-S) were intermediate in terms of milk yield and reproductive performance. In Normande, we discriminated 3 BCS profiles based on combining BCS at calving (Low: ∼2.6 points; High: ∼3.5 points) with BCS loss after calving (Flat [F]: flat with no loss; M: ∼0.5 points; or S: ∼1.0 point). The Low-M and High-S profiles included cows with similar performance, even though High-S-profile cows showed better but not significantly different milk yield and reproduction performance. The High-F profile included cows that were more likely to experience abnormal ovarian activity and fail at first insemination than cows in other profiles. More than 50% of Normande cows with 2 successive lactations kept in the same BCS profile at the next lactation. Even though a low BCS at calving combined with severe BCS loss (more than 1 point) after calving was found to increase reproductive failure, there was no evidence of an optimal BCS profile for reproduction in dairy cows, and reproductive success or failure is multifactorial.
Amanda L. Miller, John A. Renye, Jr., David B. Johnston
et al.
ABSTRACT: Valorization of food waste or food byproducts into higher-value products can benefit the food industry by contributing to the food supply chain. This study aimed to investigate the potential for using waste ice cream as a fermentation substrate for production of ethanol by yeast. Results showed that 2 Saccharomyces cerevisiae strains, Lalvin EC-1118 (Lallemand Inc.) and Ethanol Red (Lesaffre), were able to ferment an aqueous byproduct of waste ice cream, resulting in the production of ethanol, ∼7% (wt/vol). This most likely occurred due to the utilization of free monosaccharides or sucrose, because they were unable to ferment lactose. Lactase and glucoamylase were added, to increase the availability of fermentable carbohydrates, resulting in 9.77% and 9.30% (wt/vol) ethanol produced by Lalvin EC-118 and Ethanol Red strains, respectively. Both strains were also shown to not utilize the galactose released following the hydrolysis of lactose. Maximum ethanol production, above 13% (wt/vol), was seen in samples treated with a combination of lactase and a protease, suggesting that a lack of nitrogen was stalling the fermentation. A benchtop-scale distillation was performed using a fermented vanilla ice cream treated with protease, lactase, and diammonium phosphate. The distillation was successful, and several fractions with various aromas and odors were collected. Results from this study suggest that that ethanol production is a viable valorization strategy to produce distilled beverage alcohol from waste ice cream, which is expected to be free of protein allergens.
ABSTRACT: This study examined the effects of supplementing dairy cows with a mixture of essential oils on enteric CH4 emissions, apparent total-tract nutrient digestibility, N utilization, and lactational performance (production, components, and efficiency). Thirty-two multiparous lactating Holstein cows were used in a randomized complete block design. Cows averaged (mean ± SD) 95 ± 15.4 DIM, 47.7 ± 4.51 kg milk yield, and 698 ± 68.2 kg BW at the start of the experiment. The experiment consisted of a 3-wk pretreatment period (i.e., covariate), followed by a 3-wk adaptation to the experimental treatments, and a 10-wk period for data and sample collection. At the beginning of the study, milk yield and DIM data were used to block the cows into 16 blocks of 2 cows each. Subsequently, the blocks were adjusted based on milk yield and enteric CH4 emission data collected during the pretreatment period. Within each block, cows were assigned to 1 of 2 dietary treatments: (1) a basal diet supplemented with a placebo (control, no additive), or (2) a basal diet with the essential oil supplement (Agolin, 1 g/cow per day). The basal diet (i.e., TMR) was composed of 69.3% forage (corn and alfalfa silage and grass hay) and 30.7% concentrate, on a DM basis, and the essential oil mixture consisted mainly of coriander seed oil, eugenol, geraniol, and geranyl acetate. Twice daily, the essential oil supplement was thoroughly mixed with 50 g of a commercial protein supplement (i.e., carrier) and 500 g of the TMR and this premix (i.e., 550 g/meal) was offered to the cow before the basal diet. No interactions between the essential oil supplement and the sampling week were observed for any of the response variables. Dry matter intake, apparent total-tract nutrient digestibility and N balance were unaffected by feeding the essential oil supplement. Yields of milk, 4% FCM, and ECM were not modified by the experimental treatment. Neither feed efficiency (kg milk/kg DMI, kg 4% FCM/kg DMI, kg ECM/kg DMI) nor dietary N use efficiency in milk N secretion (i.e., g milk N/g N intake) were affected by essential oil supplementation. Body weight change and BCS did not differ between cows fed the essential oil supplement versus cows fed the control. Daily enteric CH4 production, CH4 yield, and CH4 intensity averaged 498 g/d, 18.4 g/kg of DMI, and 11.0 g/kg of ECM, respectively, and were unchanged by essential oil supplementation. We conclude that supplementing cows fed a high-forage diet with 1 g/d of this essential oil mixture did not positively affect lactational performance, nutrient digestibility, and N utilization, or reduce enteric CH4 (production, yield, and intensity). More research is needed to identify the optimal dose of this essential oil mixture and elucidate how it may interact with the basal diet to improve the mixture's efficacy.
Sushil K. Jain, Jeffrey Justin Margret, Rajesh Parsanathan
et al.
ABSTRACT: Dairy products, such as whey proteins, have been effectively used to enhance the effectiveness of vitamin D (VD) fortification and optimize circulating 25-hydroxyvitamin D [25(OH)VD] levels. Whey protein is rich in l-cysteine (LC) which is the precursor of hydrogen sulfide (H2S), enhances glutathione (GSH) biosynthesis, and promotes positive nitrogen balance. Zucker diabetic fatty (ZDF) rats were used as a model in this study to examine the hypothesis that LC supplementation enhances blood levels of H2S and nitrite (NO2) and reduces inflammation biomarkers. Rats were gavaged daily (orally) with either saline placebo or LC along with a high-calorie diet starting at 6 wk of age. Fasting blood levels showed LC supplementation significantly increased circulatory levels of H2S and NO2 compared with placebo rats. LC supplementation increased plasma concentration of 25(OH)VD and vitamin C and lowered leptin and BW gain in ZDF rats. Furthermore, to assess the effect of H2S and NO2 in raising 25(OH)VD levels, the in vitro effect of H2S/NO2 on vitamin D metabolism genes was examined using THP-1 monocytes. The exogenous H2S and NO2 treatment upregulated the relative expression of CYP2R1 and CYP27B1 genes in cultured monocytes. This study suggests a potential mechanism for the observed increase in circulating 25(OH)VD levels following LC supplementation.
ABSTRACT: Herd size expansion, combined with the reduced availability of people to work on farms, has led to an increased focus on techniques that can improve dairy farm social sustainability. Effective work organization is one such entity, which could influence farm social sustainability, and focuses on having a productive, flexible, and standardized farm workload. The objective of this study was to examine the factors that contribute to better workplaces for the farmer using a survey of representative pasture-based dairy farms in Ireland. Potential contributing factors to better workplaces for farmers were identified, namely farm and farmer characteristics, working day structure, farmer attitudes, farm facilities, labor-efficient practices, and human resource management practices. A survey was completed by 313 Irish dairy farmers between November 20 and January 3, 2019, to capture relevant information. One proxy indicator was selected to represent productivity, flexibility, and standardization within the workplace, and each of the 313 farms were categorized into quartiles based on their ranking for these 3 indicators (1 = most effective quartile to 4 = least effective quartile). The average farmer that completed the survey was 51 yr old, milked 125 cows, reported to work 69.6 h/wk, took 10.3 d of holidays per year, and had a finish time of 19:52 (h:min) in the spring. The quartile of farms with the most effective farmer workplace reported reduced hours worked per week (58.6 vs. 82.6 h/wk), more holiday days (16.6 vs. 5.1 d) and weekends off (8.3 vs. 2.4) per year, and earlier finish times (18:41 vs. 21:14 [h:min] in the spring) compared with the least effective quartile. Similarly, the most effective farms reported better facilities and greater implementation of labor-efficient and human resource management practices compared with the least effective farms. The most effective quartile for farmer workplace effectiveness was more positive about the industry's potential to offer an effective work-life balance, would be more likely to encourage young people to pursue careers in dairy, and had more positive attitudes toward attracting and retaining workers compared with the least effective quartile. This study highlighted the range of factors contributing to more effective workplaces for farmers, indicating scope for improvement on many farms and challenges across all farms when compared with other industries in the case of some indicators (e.g., time off). The results can support the continued extension of concepts regarding work organization to assist farms in alleviating social sustainability challenges, highlighting the differentiating factors between the most and least effective farmer workplaces.
ABSTRACT: The growing use of automated systems in the dairy industry generates a vast amount of cow-level data daily, creating opportunities for using these data to support real-time decision-making. Currently, various commercial systems offer built-in alert algorithms to identify cows requiring attention. To our knowledge, no work has been done to compare the use of models accounting for herd-level variability on their predictive ability against automated systems. Long short-term memory (LSTM) models are machine learning models capable of learning temporal patterns and making predictions based on time series data. The objective of our study was to evaluate the ability of LSTM models to identify a health alert associated with a ketosis diagnosis (HAK) using deviations of daily milk yield, milk fat-to-protein ratio (FPR), number of successful milkings, rumination time, and activity index from the herd median by parity and DIM, considering various time series lengths and numbers of days before HAK. Additionally, we aimed to use Explainable Artificial Intelligence method to understand the relationships between input variables and model outputs. Data on daily milk yield, milk FPR, number of successful milkings, rumination time, activity, and health events during 0 to 21 DIM were retrospectively obtained from a commercial Holstein dairy farm in northern Indiana from February 2020 to January 2023. A total of 1,743 cows were included in the analysis (non-HAK = 1,550; HAK = 193). Variables were transformed based on deviations from the herd median by parity and DIM. Six LSTM models were developed to identify HAK 1, 2, and 3 d before farm diagnosis using historic cow-level data with varying time series lengths. Model performance was assessed using repeated stratified 10-fold cross-validation for 20 repeats. The Shapley additive explanations framework (SHAP) was used for model explanation. Model accuracy was 83%, 74%, and 70%; balanced error rate was 17% to 18%, 26% to 28%, and 34%; sensitivity was 81% to 83%, 71% to 74%, and 62%; specificity was 83%, 74%, and 71%; positive predictive value was 38%, 25% to 27%, and 21%; negative predictive value was 97% to 98%, 95% to 96%, and 94%; and area under the curve was 0.89 to 0.90, 0.80 to 0.81, and 0.72 for models identifying HAK 1, 2, and 3 d before diagnosis, respectively. Performance declined as the time interval between identification and farm diagnosis increased, and extending the time series length did not improve model performance. Model explanation revealed that cows with lower milk yield, number of successful milkings, rumination time, and activity, and higher milk FPR compared with herdmates of the same parity and DIM were more likely to be classified as HAK. Our results demonstrate the potential of LSTM models in identifying HAK using deviations of daily milk production variables, rumination time, and activity index from the herd median by parity and DIM. Future studies are needed to evaluate the performance of health alerts using LSTM models controlling for herd-specific metrics against commercial built-in algorithms in multiple farms and for other disorders.
B.J. Van Soest, M.N. Pereira, T.F. Duffield
et al.
ABSTRACT: The objective of this study was to quantify the effects of supplementing a low level of dry glycerol product pre- and postpartum on the feeding behavior, lying behavior, and reticulorumen pH of dairy cows. Multiparous Holstein dairy cows (n = 60) were enrolled in a 2 × 2 factorial design study. Twenty-one days before expected parturition, cows individually received a dry cow diet with (1) 250 g/d glycerol supplementation (GLY; 66% pure glycerol, United States Pharmacopeia grade), or (2) no supplementation (CON). Following parturition, cows were individually assigned to either (1) 250 g/d glycerol product (GLY; 66% pure glycerol), or (2) no supplementation (CON) to their partial mixed ration (PMR) for the first 21 d in milk (DIM). All cows were milked by an automated milking system and offered a target of 5.4 kg/d pellet (23% of target total dry matter intake [DMI]). For both treatment periods, cows were individually assigned to automated feed bins to measure PMR feeding behavior. Rumination time and lying behavior were monitored with electronic sensors for the whole study (−21 to 21 DIM). Reticulorumen pH boluses were administered to a subset of cows (n = 40) where pH was recorded every 10 min from 21 d prepartum to 21 d postpartum. Prepartum, cows fed GLY had fewer, larger meals and spent 20.2% more time feeding than CON while consuming feed at a similar rate. Cows on the CON diet prepartum spent more time lying down in more frequent bouts in the 21 d before calving. Following parturition, cows that received GLY prepartum continued to devote more time to eating, while tending to spend less time ruminating per kilogram of DMI. Cows receiving CON postpartum had larger meals with longer intervals between meals. In the first 21 DIM, cows receiving CON prepartum tended to have shorter, but significantly more frequent, lying bouts than cows fed GLY prepartum. Glycerol supplementation pre- and postpartum resulted in less time spent lying down following parturition. Minimal differences between treatments were observed for pre- and postpartum sorting behavior or reticulorumen pH. Overall, supplementation of glycerol pre- and postpartum altered cow time budgets, with cows spending more time eating pre- and postpartum, less time lying pre- and postpartum, and having fewer, larger meals prepartum when receiving glycerol prepartum, and with cows having slower feeding rates and smaller meals following parturition with postpartum glycerol supplementation.
ABSTRACT: Pododermatitis aseptica hemorrhagica circumscripta is associated with metalloproteinase 2 weakening of distal phalangeal suspensory structures and sinkage of the distal phalanx in the claw capsule. Pressure from the tuberculum flexorium on the sole epidermis and dermis produces hemorrhagic tissue injury and defective horn production appearing as yellow-red, softened claw horn in region 4 of the sole. A model of the MAPK/ERK signal cascade orchestrating epidermal-dermal homeostasis was employed to determine if sterile inflammatory responses are linked to disturbed signal transduction for epidermal homeostasis in sole epidermis and dermis. The objective was to assess shifts in target genes of inflammation, up- and downstream MAPK/ERK signal elements, and targeted genes supporting epidermal proliferation and differentiation. Sole epidermis and dermis were removed from lateral claws bearing lesions of PAHC, medial claws from the same limb and lateral claws from completely normal limbs of multiparous, lactating Holstein cows. The abundance levels of targeted transcripts were evaluated by real-time PCR. Lesion effects were assessed by ANOVA, and mean comparisons were performed with t-tests to assess variations between mean expression in ulcer-bearing or medial claw dermis and epidermis and completely normal lateral claw dermis and epidermis or between ulcer-bearing dermis and epidermis and medial claw dermis and epidermis. The lesions were sterile and showed losses across multiple growth factors, their receptors, several downstream AP1 transcription components, CMYC, multiple cell-cycle and terminal differentiation elements conducted by MAPK/ERK signals and β 4, α 6, and collagen 17A hemidesmosome components. These losses coincided with increased cytokeratin 6, β 1 integrin, proinflammatory metalloproteinases 2 and 9, IL1B and physiologic inhibitors of IL1B, the decoy receptor, and receptor antagonist. Medial claw epidermis and dermis from limbs with lateral claws bearing PAHC showed reductions in upstream MAPK/ERK signal elements and downstream targets that paralleled those in hemorrhagic lesions. Inhibitors of IL1B increased in the absence of real increases in inflammatory targets in the medial claw dermis and epidermis. Losses across multiple signal path elements and downstream targets were associated with negative effects on targeted transcripts supporting claw horn production and wound repair across lesion-bearing lateral claws and lesion-free medial claw dermis and epidermis. It was unclear if the sterile inflammation was causative or a consequence of these perturbations.
Alessandro Toscano, Diana Giannuzzi, Sara Pegolo
et al.
ABSTRACT: The causes of variation in the milk mineral profile of dairy cattle during the first phase of lactation were studied under the hypothesis that the milk mineral profile partially reflects the animals' metabolic status. Correlations between the minerals and the main milk constituents (i.e., protein, fat, and lactose percentages), and their associations with the cows' metabolic status indicators were explored. The metabolic status indicators (MET) that we used were blood energy-protein metabolites [nonesterified fatty acids, β-hydroxybutyrate (BHB), glucose, cholesterol, creatinine, and urea], and liver ultrasound measurements (predicted triacylglycerol liver content, portal vein area, portal vein diameter and liver depth). Milk and blood samples, and ultrasound measurements were taken from 295 Holstein cows belonging to 2 herds and in the first 120 d in milk (DIM). Milk mineral contents were determined by ICP-OES; these were considered the response variable and analyzed through a mixed model which included DIM, parity, milk yield, and MET as fixed effects, and the herd/date as a random effect. The MET traits were divided in tertiles. The results showed that milk protein was positively associated with body condition score (BCS) and glucose, and negatively associated with BHB blood content; milk fat was positively associated with BHB content; milk lactose was positively associated with BCS; and Ca, P, K and S were the minerals with the greatest number of associations with the cows' energy indicators, particularly BCS, predicted triacylglycerol liver content, glucose, BHB and urea. We conclude that the protein, fat, lactose, and mineral contents of milk partially reflect the metabolic adaptation of cows during lactation and within 120 DIM. Variations in the milk mineral profile were consistent with changes in the major milk constituents and the metabolic status of cows.
ABSTRACT: Milk fan is an acid-curd cheese with strong national characteristics (a traditional dairy product of the Bai nationality with a shape like a piece of paper) and a long history in Yunnan province, China. In our previous study, we characterized the microbial community diversity of milk fan, but the succession of microorganisms associated with flavor formation in milk fan is still unknown. Therefore, we examined the predominant microorganisms and their correlations with the formation of flavor in the fermentation of sour juice and drying of milk fan by gas chromatography mass spectrometry, high-throughput 16S rDNA sequencing, intergenic spacer sequencing and metatranscriptome analysis. We found that the relative abundances of Lactobacillus and Issatchenkia initially decreased and then increased with time during the fermentation of sour juice. However, the relative abundances of Acetobacter, Leuconostoc, Lactococcus, Geotrichum, and Dipodascus initially increased and then decreased. During the drying step, the relative abundances of Lactobacillus and Issatchenkia continuously increased and became the dominant microorganisms in the milk fan. The metatranscriptomes generated from the milk fan showed that “carbohydrate metabolism,” “translation,” and “signal transduction” were the main metabolic functions of the microbial communities. Rhodotorula and Yarrowia contained more differentially expressed genes than other genera, which indicated they may be associated with the production of the characteristic flavor. Furthermore, a Pearson correlation analysis showed that Lactococcus, Rhodotorula, Candida, Cutaneotrichosporon, and Yarrowia were significantly positively correlated with more aroma-active compounds, mainly ethyl acetate, 2-heptanone, isovaleraldehyde, butyric acid, nonanal, and hexanal. In conclusion, these findings contribute to a better understanding of the flavor production mechanism during the production of milk fan.
Mekonnen Haile-Mariam, Irene van den Berg, Phuong N. Ho
et al.
ABSTRACT: Achieving an acceptable level of fertility in herds is difficult for many dairy producers because identifying cows in estrus has become challenging owing to poor estrus expression, increased herd size, and lack of time and skilled labor for estrus detection. As a result, synchronization of estrus is often used to manage reproduction. The aims of this study were (1) to identify artificial inseminations (AI) that were performed following synchronization and (2) to assess the effect of synchronization on genetic parameters and evaluation of fertility traits. This study used breeding data collected between 1995 and 2021 from over 4,600 Australian dairy herds that had at least 30 matings per year. Because breeding methods were not reported, the recording pattern of breeding dates showing a large proportion of the total AI being recorded on a single date of the year served as an indicator of synchronization. First, the proportion of AI recorded on each day of the year was calculated for each herd-year. Subsequently, synchronization was defined when a herd with, for instance, only 30 matings in a year, had at least 0.20 or more AI on the same day. As the number of breedings in a herd-year increased, the threshold for classifying AI was continuously reduced from 0.20 to as low as 0.03 under the assumption that mating of many cows on a single date becomes increasingly difficult without synchronization. From the current data, we deduced that 0.11 of all AI were possibly performed following synchronization (i.e., timed AI, TAI). The proportion of AI classified as TAI increased over time and with herd size. Although the deviation from equal numbers of mating on 7 d of the week was not used for classifying AI, 0.44 of AI being categorized as TAI were performed on just 2 d of the week. When data classified as TAI were used for estimating genetic parameters and breeding values, the interval between calving and first service (CFS) was found to be the most affected trait. The phenotypic and additive genetic variance and heritability, as well as variability and reliability of estimated breeding values of bulls and cows for CFS were lower for TAI than for AI performed following detected estrus (i.e., estrus-detected AI, EAI). For calving interval, first service nonreturn rate (FNRR), and successful calving rate to first service, genetic correlations between the same trait measured in TAI and EAI were close to 1, in contrast to 0.55 for CFS. The lower genetic variances and heritabilities for FNRR and calving interval in TAI than in EAI suggests that synchronization reduces the genetic variability of fertility. In conclusion, TAI makes CFS an ineffective measure of fertility. One approach to minimize this effect on genetic evaluations is to identify TAI (using the method described for example) and then set the CFS of these cows as missing records when running multitrait genetic evaluations of fertility traits that include CFS. In the long term, the most practical and accurate way to reduce the effect of synchronization on genetic evaluations is to record TAI along with mating data.
ABSTRACT: Lactoferrin is an iron-binding glycoprotein of the transferrin family that is found in most bodily fluids of mammals and has a variety of biological and beneficial functions, with great importance in health enhancement as a supplement for humans and other animals. More than 300 t of lactoferrin were produced in 2021, and this number is expected to grow yearly by 10% to 12%, to over 580 t in 2030. With new and important functions of lactoferrin being revealed and studied, focus on its industrial production and application is increasing accordingly. However, lactoferrin is mainly sourced from cheese whey or skim milk by cation-exchange column chromatography, which is a costly and low-quality method. A potential solution for lactoferrin global supply chain construction is proposed in this article as a complement to traditional routes of purification from whey or skim milk. The large-scale production of lactoferrin, mainly by recombinant yeast, mammal, and grain systems, as well as the market niche and product design, are discussed.
Darija Bendelja Ljoljić, Zvonimir Prpić, Tomislav Mašek
et al.
Milk urea concentration (MU) has been extensively studied and is often used to evaluate energy and protein balance in dairy cattle diets, but not to this extent in dairy goat diets. The aim of this study was to determine the relationship between MU concentration and crude protein content (CP) in the diet of Alpine goats in order to reduce excessive nitrogen excretion from the organism. For this purpose, 72 goats were randomly divided into three equal groups (24 animals) and fed a concentrate mix containing 14%, 16%, and 18% CP, respectively. The chemical composition of milk samples was determined and the ratio of milk fat to protein was calculated. Statistical analysis of the data was performed using the MIXED procedure (SAS V8 software package). Increasing CP from 14% to 16% in the diet increased daily milk yield by 0.4 kg (p<0.001), and MU concentration from 35.01 to 41.24 mg/100 mL (p<0.001). Based on the calculated inflection point of daily milk yield and protein content in milk, the range of MU concentration from 40.00 to 45.00 mg/100 mL can be considered optimal and is a good indicator of a balanced diet for goats.