V. J. Clemente-Suárez, Ana Isabel Beltrán-Velasco, L. Redondo-Flórez
et al.
The Western diet is a modern dietary pattern characterized by high intakes of pre-packaged foods, refined grains, red meat, processed meat, high-sugar drinks, candy, sweets, fried foods, conventionally raised animal products, high-fat dairy products, and high-fructose products. The present review aims to describe the effect of the Western pattern diet on the metabolism, inflammation, and antioxidant status; the impact on gut microbiota and mitochondrial fitness; the effect of on cardiovascular health, mental health, and cancer; and the sanitary cost of the Western diet. To achieve this goal, a consensus critical review was conducted using primary sources, such as scientific articles, and secondary sources, including bibliographic indexes, databases, and web pages. Scopus, Embase, Science Direct, Sports Discuss, ResearchGate, and the Web of Science were used to complete the assignment. MeSH-compliant keywords such “Western diet”, “inflammation”, “metabolic health”, “metabolic fitness”, “heart disease”, “cancer”, “oxidative stress”, “mental health”, and “metabolism” were used. The following exclusion criteria were applied: (i) studies with inappropriate or irrelevant topics, not germane to the review’s primary focus; (ii) Ph.D. dissertations, proceedings of conferences, and unpublished studies. This information will allow for a better comprehension of this nutritional behavior and its effect on an individual’s metabolism and health, as well as the impact on national sanitary systems. Finally, practical applications derived from this information are made.
ABSTRACT: In this study, a novel composite probiotic fermented milk was developed using Lactiplantibacillus plantarum P-8 and Lacticaseibacillus paracasei ProSci-92 strains with promising probiotic properties. Different proportions of the 2 strains were evaluated to identify the optimal coculture ratio. The physicochemical properties, storage stability, viable bacterial counts, and metabolomic profiles of the coculture fermented milk, single-strain fermented milk samples, and a commercial fermented milk (PYS-010) were compared. The results demonstrated that the ProSci-92&P-8 (1,000:1) coculture exhibited a significant synergistic effect. This coculture not only enhanced viable counts, acid production capacity, and water-holding capacity but also markedly improved the texture and flavor characteristics of the fermented milk. Untargeted metabolomic analysis further revealed the positive effect of cofermentation on the accumulation of various characteristic flavor-inducing compounds (acetoin, acetaldehyde, butyric acid, propionic acid, arachidonic acid) and functionally relevant AA (lysine, ornithine, phenylalanine, threonine, valine) in the fermented milk. Glutathione was identified as a potential metabolic biomarker associated with synergistic interactions between the strains. This study provides a theoretical foundation and technical support for developing next-generation fermented dairy products with desirable sensory attributes and health benefits.
Food loss and waste remain major global challenges. Perishables like fish, fruits, and vegetables show the highest post-harvest losses. Conventional petroleum-based packaging offers limited preservation while adding long-term pollution, and recent assessments indicate that more than one billion tons of food were wasted in 2022, reinforcing the need for improved preservation strategies. Poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) (PHBHHx) films reinforced with ZnO nanoparticles provide flexibility, biodegradability, and reliable processing. ZnO increases mechanical stiffness and thermal stability, strengthens oxygen-barrier and antimicrobial functions, and delivers strong UV shielding. These combined properties define the active-preservation behavior of PHBHHx-ZnO films and support their relevance for chilled food systems. ZnO acts as a nucleating agent, with PHBHHx-ZnO films typically showing crystallinity in the 53–56% range without loss of flexibility. Studies with ZnO-enabled active films extend refrigerated shelf life. Storage periods of 6–8 days rise to 12–16 days in seafood models, with similar improvements for meat and dairy products. These gains arise from nanoparticle-polymer interactions that increase crystallinity, restrict polymer mobility, and stabilize film microstructures. PHBHHx-ZnO bionanocomposites offer a promising route toward safe, active, and sustainable packaging systems. This review outlines further directions, including migration-compliant ZnO placement, lower-impact ZnO preparation routes, and multifunctional designs aligned with more circular-economy goals.
ABSTRACT: Plastic is widespread in our lives, releasing various microplastics (MP) with toxicity. In recent years, the potential threat of MP on the reproductive system has aroused public concern. Numerous reports have focused on its damage to spermatogenesis. Nevertheless, the toxicity of MP on female reproduction is unclear. Here, we explored this question using bovine oocyte. Through immunofluorescence staining, the results revealed that MP disrupts spindle organization, chromosome alignment, and actin assembly, leading to failed maturation of bovine oocytes. Concurrently, abnormal expression and localization of cortical granules suggest a failure of cytoplasmic maturation. Therefore, embryonic development is affected. Utilizing single-cell transcriptome sequencing technology, we found that MP induced changes in the expression of mitochondrial-related genes, reflecting the damage of MP are mediated by mitochondrial functions. The MP indeed causes oxidative stress, DNA damage, and apoptosis. Taurine is capable of stabilizing cellular antioxidant levels. Our results suggest that taurine can inhibit mitochondrial dysfunction, reversing the failure of oocyte maturation and embryo development following MP exposure. Collectively, we reveal the reproduction toxicity of MP on bovine oocytes and demonstrate the restorative effect of taurine against MP.
Fabiellen Pereira, Sagara Kumara, Muhammad Ahsin
et al.
This on-farm study evaluated the effects of a regenerative (plant polyculture) as compared to conventional (monoculture) pasture-based New Zealand dairy production system on milk and yoghurt nutraceutical properties and environmental impact. Milk and yoghurt produced by two adjacent regenerative and conventional farms were sampled throughout the year and analyzed for chemical composition, metabolomics, and microbiome. Milk samples were also collected over four consecutive days (one day after herbage sampling) on four occasions throughout lactation: early lactation (October), peak lactation (December/January), mid-lactation (March), and late lactation (May). Overall, the regenerative system had a lower environmental impact while maintaining a similar yield and the same milk composition compared to conventional systems. Furthermore, milk and yoghurt from the regenerative system had a more favourable profile of phytochemical antioxidants with potential positive benefits to human health (anti-inflammatory and antioxidant).
Periparturient dairy cows experience metabolic adaptations to prepare for increased nutrient requirements of the fetus and the onset of lactation. Adaptations include increased peripheral tissue insulin resistance, which can be evaluated experimentally using intravenous glucose tolerance tests (IVGTT). The objective of this study was to determine if prepartum skeletal muscle reserves and supplementation of branched-chain volatile fatty acids (BCVFA) in the prepartum period affected blood glucose, β-hydroxybutyrate (BHB), and insulin concentrations 2 wk prepartum and 1 wk postpartum utilizing an IVGTT. At 42 d before expected calving (BEC), the longissimus dorsi muscle depth was measured from an ultrasound image, and based on muscle depth, cows were assigned to either the high muscle (HM; >4.6 cm, n = 17) or low muscle (LM; ≤4.6 cm, n = 17) group. Cows were randomly assigned to either the branched-chain volatile fatty acid (BCVFA) treatment (fed as 39.1 g/d isobutyrate product; 19.4 g/d isovalerate product; 19.6 g/d 2-methylbutyrate product, all on a DM basis) or control (73.0 g/d soyhull pellets on a DM basis) treatment, which were top-dressed daily. Assignment to muscle group and treatment resulted in a 2 × 2 factorial design and the following 4 combinations: HM-CON (n = 7), HM-BCVFA (n = 10), LM-CON (n = 9), and LM-BCVFA (n = 8). On 14 d BEC and 7 DIM an IVGTT was performed following a 1 h fasting period. Baseline blood samples were taken −15 and −5 min before dextrose administration (250 mg/kg BW); blood was then collected at 12 time points over a 3-h time period. Skeletal muscle reserves had no impact on glucose or insulin response across the IVGTT period, whereas BCVFA supplementation increased glucose area under the curve (AUC) in the prepartum period but had no effect in the postpartum period. Prepartum glucose and insulin AUC were higher than the postpartum glucose and insulin AUC. Findings indicate that muscle reserves in the prepartum period do not affect insulin and glucose clearance in periparturient dairy cows, reflecting no differences in insulin sensitivity in response to IVGTT. Changes observed in glucose and insulin AUC between pre- and postpartum IVGTT reflect normal metabolic adaptations to increased energetic requirements of dairy cows between late gestation and early lactation.
Parinaz Mosaddeghi Amini, Ian Rouse, Julia Subbotina
et al.
In the realm of food industry, the choice of non-consumable materials used plays a crucial role in ensuring consumer safety and product quality. Aluminum is widely used in food packaging and food processing applications, including dairy products. However, the interaction between aluminum and milk content requires further investigation to understand its implications. In this work, we present the results of multiscale modelling of the interaction between various surfaces, that is (100), (110), and (111), of fcc aluminum with the most abundant milk proteins and lactose. Our approach combines atomistic molecular dynamics, a coarse-grained model of protein adsorption, and kinetic Monte Carlo simulations to predict the protein corona composition in the deposited milk layer on aluminum surfaces. We consider a simplified model of milk, which is composed of the six most abundant milk proteins found in natural cow milk and lactose, which is the most abundant sugar found in dairy. Through our study, we ranked selected proteins and lactose adsorption affinities based on their corresponding interaction strength with aluminum surfaces and predicted the content of the naturally forming biomolecular corona. Our comprehensive investigation sheds light on the implications of aluminum in food processing and packaging, particularly concerning its interaction with the most abundant milk proteins and lactose. By employing a multiscale modelling approach, we simulated the interaction between metallic aluminum surfaces and the proteins and lactose, considering different crystallographic orientations. The results of our study provide valuable insights into the mechanisms of lactose and protein deposition on aluminum surfaces, which can aid in the general understanding of protein corona formation.
ABSTRACT: With multiparous Jersey cows, colostrum production seems to be variable. Due to this, we aimed to identify specific variables involved in colostrum production and quality. From 2021 to 2023, data from 28 US farms (415 multiparous Jersey cows) were used to investigate if colostrum yield, IgG concentration (g/L), and IgG yield (g) could be predicted by farm variables and transmitting abilities. With the data collected, multiple regression equations were developed to aid in predicting colostrum yield, IgG concentration, and IgG yield. Colostrum was weighed and sampled for IgG analysis. Dairy Herd Information (DHI), calving, diet, and management information data were compiled. Days below 5°C (D<), days above 23°C (D>), and days between 5 and 23°C (D) were recorded. We evaluated transmitting abilities for milk, fat, protein, and dollars; previous lactation milk yield, fat percent, fat yield, protein percent, protein yield, previous lactation somatic cell score, previous lactation days open, previous lactation days dry, previous lactation days in milk, and previous parity; and current lactation parity, days dry, and calving information, birth ordinal day, and latitude. Colostrum yield, IgG yield, and concentration had 1 added to correct for values = 0. After addition, values >0 were transformed to ln or log10. Nontransformed variables were also used to develop the model. Variance inflation factor analysis was conducted, followed by backward elimination. The log10 colostrum yield model (R2 = 0.55; β in parentheses) included herd size (−0.0001), ordinal days (−0.001), ln ordinal days (0.07), latitude (−0.02), dry period length (0.004), D< (−0.005), D (−0.003), time to harvest (0.05), ln time to harvest (−0.35), IgG (−0.004), log10 IgG (0.46), feedings per day (0.06), ln pasture access (−0.13), and ln previous lactation days open (0.14). The model showed that previous lactation days open contributed the most toward increasing and latitude contributed the most toward decreasing colostrum yield. The IgG model (R2 = 0.21) included herd size (0.02), D> (0.38), ln time to harvest (−19.42), colostrum yield (−4.29), ln diet type (18.00), ln previous lactation fat percent (74.43), and previous parity (5.72). The model showed that previous lactation milkfat percent contributed the most toward increasing and time from parturition to colostrum harvest contributed the most toward decreasing colostrum IgG concentration. The log10 IgG yield model (R2 = 0.79) included ln ordinal days (0.03), time to harvest (−0.01), colostrum yield (−0.11), ln colostrum yield (1.20), ln pasture access (−0.09), ln previous lactation fat percent (0.53), and previous parity (0.02). The model showed that colostrum yield contributed the most toward increasing IgG yield, followed by previous lactation milkfat percentage. Pasture access contributed the most toward decreasing IgG yield, although the contribution was very small. These models were validated using 39 samples from 22 farms. Actual minus predicted colostrum yield and IgG concentration and yield were 0.89 kg, −21.10 g/L, and −65.15 g, respectively. These models indicate that dry period management and cow information can predict colostrum yield and IgG concentration and yield.
Milk produced in udder cells is sterile but due to its high nutrient content, it can be a good growth substrate for contaminating bacteria. The quality of milk is monitored via somatic cell counts and total bacterial counts, with prescribed regulatory limits to ensure quality and safety. Bacterial contaminants can cause disease, or spoilage of milk and its secondary products. Aerobic spore-forming bacteria, such as those from the genera Sporosarcina, Paenisporosarcina, Brevibacillus, Paenibacillus, Geobacillus and Bacillus, are a particular concern in this regard as they are able to survive industrial pasteurization and form biofilms within pipes and stainless steel equipment. These single or multiple-species biofilms become a reservoir of spoilage microorganisms and a cycle of contamination can be initiated. Indeed, previous studies have highlighted that these microorganisms are highly prevalent in dead ends, corners, cracks, crevices, gaskets, valves and the joints of stainless steel equipment used in the dairy manufacturing plants. Hence, adequate monitoring and control measures are essential to prevent spoilage and ensure consumer safety. Common controlling approaches include specific cleaning-in-place processes, chemical and biological biocides and other novel methods. In this review, we highlight the problems caused by these microorganisms, and discuss issues relating to their prevalence, monitoring thereof and control with respect to the dairy industry.
Noémie Vanacker, Henrique Barbosa Hooper, Richard Blouin
et al.
ABSTRACT: During the transition period, dairy cows often experience negative energy balance, which can induce metabolic and immunological disturbances. Previous work has shown that there is a relationship between the dysfunction of immune cells and the increase in blood nonesterified fatty acid (NEFA) concentration. Nevertheless, it is difficult to determine the exact effect of NEFA on the immune system, as other metabolic and hormonal perturbations occur simultaneously during the transition period. In the present study, we have determined the effect of NEFA on immune functions using an experimental model designed to assess the effects independently of energy balance, as well as hormonal and metabolic changes due to parturition. Six dry and nonpregnant cows were infused with either sterile water (control treatment) or a lipid emulsion (Intralipid 20%, Frenesius Kabi, lipid treatment) at a rate of 1 mL/kg per hour for 6 h according to a crossover design. Blood concentrations of NEFA, β-hydroxybutyrate (BHB), and glucose were measured every hour throughout the infusion period, and 1 and 18 h after the end of infusion. Proliferation and interferon-γ secretion of lymphocytes, phagocytosis, and oxidative burst of neutrophils and blood insulin concentration were evaluated before, during, and at the end of the infusion. For NEFA, BHB, and glucose, treatment × time interactions were present. When compared with the control condition, NEFA and BHB levels were greater in the plasma of cows infused with lipids from 1 h after the start of infusion until 1 h after the end of infusion. Glucose level also increased in response to lipid infusion from 2 h of infusion until 1 h after the end of treatment. For sterile water and lipid infusions, respectively, maximal concentrations were 0.06 ± 0.10 mM and 1.39 ± 0.10 mM for NEFA, 0.70 ± 0.05 mM and 1.06 ± 0.05 mM for BHB, and 4.56 ± 0.27 mM and 6.90 ± 0.27 mM for glucose. For all blood metabolites, there were no differences between treatments 18 h postinfusion. Lipid infusion significantly increased blood insulin concentration at 3 and 6 h of infusion. However, it returned to its basal concentration 18 h after the end of the infusion. Lymphoproliferation declined as early as 3 h after the start of the lipid infusion. At 3 and 6 h of infusion, lipid treatment significantly reduced INF-γ concentration in the culture cell supernatant. The lipid infusion did not affect neutrophil phagocytosis. Nevertheless, the efficacy of the response was affected by a reduction of neutrophils' oxidative burst. These results confirm that NEFA inhibits immune functions independently of energy balance and other changes that occur during the transition period. They also indicate that high blood lipid concentration causes insulin resistance.
O. Ramezani Afarani, A. Zali, M. Dehghan-Banadaki
et al.
ABSTRACT: The objective of this study was to evaluate the effects of varying the ratio of dietary palmitic (C16:0; PA) and stearic (C18:0; SA) acids on nutrient digestibility, production, and blood metabolites of early-lactation Holsteins under mild-to-moderate heat stress. Eight multiparous Holsteins (body weight = 589 ± 45 kg; days in milk = 51 ± 8 d; milk production = 38.5 ± 2.4 kg/d; mean ± standard deviation) were used in a duplicated 4 × 4 Latin square design (21-d periods inclusive of 7-d data collection). The PA (88.9%)- and SA (88.5%)-enriched fat supplements, either individually or in combination, were added to diets at 2% of dry matter (DM) to formulate the following treatments: (1) 100PA:0SA (100% PA + 0% SA), (2) 66PA:34SA (66% PA + 34% SA), (3) 34PA:66SA (34% PA + 66% SA), and (4) 0PA:100SA (0% PA + 100% SA). Diets offered, in the form of total mixed rations, were formulated to be isonitrogenous (crude protein = 17.2% of DM) and isocaloric (net energy for lactation = 1.69 Mcal/kg DM), with a forage-to-concentrate ratio of 40:60. Ambient temperature-humidity index averaged 72.9 throughout the experiment, suggesting that cows were under mild-to-moderate heat stress. No differences in DM intake across treatments were detected (mean 23.5 ± 0.64 kg/d). Increasing the dietary proportion of SA resulted in a linear decrease in total-tract digestibility of total fatty acids, but organic matter, DM, neutral detergent fiber, and crude protein digestibilities were not different across treatments. Decreasing dietary PA-to-SA had no effect on the time spent eating (340 min/d), rumination (460 min/d), and chewing (808 min/d). As dietary PA-to-SA decreased, milk fat concentration and yield decreased linearly, resulting in a linear decrease of 3.5% fat-corrected milk production and milk fat-to-protein ratio. Feed efficiency expressed as kg 3.5% fat-corrected milk/kg DM intake decreased linearly with decreasing the proportion of PA-to-SA in the diet. Treatments had no effect on milk protein and lactose content. A linear increase in de novo and preformed fatty acids was identified as the ratio of PA to SA decreased, while PA and SA concentrations of milk fat decreased and increased linearly, respectively. A linear reduction in blood nonesterified fatty acids and glucose was detected as the ratio of PA to SA decreased. Insulin concentration increased linearly from 10.3 in 100PA:0SA to 13.1 µIU/mL in 0PA:100SA, whereas blood β-hydroxybutyric acid was not different across treatments. In conclusion, the heat-stressed Holsteins in early-lactation phase fed diets richer in PA versus SA produced greater fat-corrected milk and were more efficient in converting feed to fat-corrected milk.
Dairy farms have been identified as an important source of greenhouse gas emissions. Within the farm, important emissions include enteric CH4 from the animals, CH4 and N2O from manure in housing facilities during long-term storage and during field application, and N2O from nitrification and denitrification processes in the soil used to produce feed crops and pasture. Models using a wide range in level of detail have been developed to represent or predict these emissions. They include constant emission factors, variable process-related emission factors, empirical or statistical models, mechanistic process simulations, and life cycle assessment. To fully represent farm emissions, models representing the various emission sources must be integrated to capture the combined effects and interactions of all important components. Farm models have been developed using relationships across the full scale of detail, from constant emission factors to detailed mechanistic simulations. Simpler models, based upon emission factors and empirical relationships, tend to provide better tools for decision support, whereas more complex farm simulations provide better tools for research and education. To look beyond the farm boundaries, life cycle assessment provides an environmental accounting tool for quantifying and evaluating emissions over the full cycle, from producing the resources used on the farm through processing, distribution, consumption, and waste handling of the milk and dairy products produced. Models are useful for improving our understanding of farm processes and their interacting effects on greenhouse gas emissions. Through better understanding, they assist in the development and evaluation of mitigation strategies for reducing emissions and improving overall sustainability of dairy farms.
ABSTRACT: Although high-concentrate diet feeding can temporarily increase milk production, it can cause a series of metabolic diseases, such as subacute ruminal acidosis (SARA) and milk fat depression. The main purpose of this experiment was to study the effects of a high-concentrate diet on the inflammatory response, oxidative stress, and milk fat synthesis in the mammary gland of dairy cows. Twelve Holstein cows equipped with rumen fistulas were randomly divided into 2 groups, each with 6 cows, fed a low-concentrate diet (LC) and a high-concentrate diet (HC). On d 20 and 21 of the experiment, rumen fluid was collected to measure pH, and milk samples were collected for milk component analysis and lipopolysaccharide (LPS) concentration testing. On d 21, mammary vein blood was collected to detect the LPS concentration. At the end of the 21-d experimental period, mammary gland tissue was collected, and the expression of inflammatory response-, oxidative stress-, and milk fat synthesis-related genes and proteins in the mammary gland was analyzed by real-time quantitative PCR and western blot. The pH of rumen fluid in the HC group was significantly lower than that in the LC group, and the pH of 2 time points in the HC group was lower than 5.6, indicating that a high-concentrate diet induced SARA. The LPS concentration of the peripheral blood in HC group increased significantly compared with that in the LC group. For the inflammatory response, the proinflammatory cytokines (IL-6 and IL-1α) and innate immune factors (lingual antimicrobial peptide and tracheal antimicrobial peptide) in the mammary gland of the HC group were significantly increased, and the TLR4-NF-κB signaling pathway was activated. For oxidative stress, after HC diet feeding, the content of malondialdehyde in mammary vein blood and mammary gland tissue increased, the content of glutathione in mammary vein blood decreased, the activity of superoxide dismutase and the total antioxidant capacity in mammary gland tissue and mammary vein blood decreased, and the expression of antioxidant enzymes and antioxidant transcription factor nuclear factor, erythroid 2 like 2 (NFE2L2) in mammary gland decreased. For milk fat metabolism, HC diet feeding reduced the milk fat content in milk samples and the triacylglycerol content in the mammary gland and inhibited the expression of de novo synthase (ACACA and FASN), long-chain fatty acid converting enzymes (ACSL1 and SCD), fatty acid transporters (CD36, FATP, FABP3, and LPL), triacylglycerol synthase (AGPAT6, DGAT1, and LPIN1), lipid droplet releasing enzyme (PLIN1), and transcription factors sterol regulatory element binding protein (SREBP1) and peroxisome proliferator activated receptor gamma (PPARG). In summary, a HC diet can induce SARA with increased concentration of LPS in the peripheral vein, stimulate inflammatory reactions and oxidative stress, and inhibit milk fat synthesis in the mammary gland of dairy cows.
Ligia Cavani, Michael B. Poindexter, Corwin D. Nelson
et al.
ABSTRACT: The onset of lactation results in a sudden irreversible loss of Ca for colostrum and milk synthesis. Some cows are unable to quickly adapt to this demand and succumb to clinical hypocalcemia, whereas a larger proportion of cows develop subclinical hypocalcemia that predisposes them to other peripartum diseases. The objective of this study was to perform a comprehensive genomic analysis of blood total Ca concentration in periparturient Holstein cows. We first performed a genomic scan and a subsequent gene-set analysis to identify candidate genes, biological pathways, and molecular mechanisms affecting postpartum Ca concentration. Then, we assessed the prediction of postpartum Ca concentration using genomic information. Data consisted of 7,691 records of plasma or serum concentrations of Ca measured in the first, second, and third day after parturition of 959 primiparous and 1,615 multiparous cows that calved between December 2015 and June 2020 in 2 dairy herds. All cows were genotyped with 80k SNPs. The statistical model included lactation (1 to 5+), calf category (male, females, twins), and day as fixed effects, and season-treatment-experiment, animal, and permanent environmental as random effects. Model predictive ability was evaluated using 10-fold cross-validation. Heritability and repeatability estimates were 0.083 (standard error = 0.017) and 0.444 (standard error = 0.028). The association mapping identified 2 major regions located on Bos taurus autosome (BTA)6 and BTA16 that explained 1.2% and 0.7% of additive genetic variance of Ca concentration, respectively. Interestingly, the region on BTA6 harbors the GC gene, which encodes the vitamin D binding protein, and the region on BTA16 harbors LRRC38, which is actively involved in K transport. Other sizable peaks were identified on BTA5, BTA2, BTA7, BTA14, and BTA9. These regions harbor genes associated with Ca channels (CACNA1S, CRACR2A), K channels (KCNK9), bone remodeling (LRP6), and milk production (SOCS2). The gene-set analysis revealed terms related to vitamin transport, calcium ion transport, calcium ion binding, and calcium signaling. Genomic predictions of phenotypic and genomic estimated breeding values of Ca concentration yielded predictive correlations up to 0.50 and 0.15, respectively. Overall, the present study contributes to a better understanding of the genetic basis of postpartum blood Ca concentration in Holstein cows. In addition, the findings may contribute to the development of novel selection and management strategies for reducing periparturient hypocalcemia in dairy cattle.
Ligia Cavani, William E. Brown, Kristen L. Parker Gaddis
et al.
ABSTRACT: Residual feed intake (RFI) is commonly used to measure feed efficiency but individual intake recording systems are needed. Feeding behavior may be used as an indicator trait for feed efficiency using less expensive precision livestock farming technologies. Our goal was to estimate genetic parameters for feeding behavior and the genetic correlations with feed efficiency in Holstein cows. Data consisted of 75,877 daily feeding behavior records of 1,328 mid-lactation Holstein cows in 31 experiments conducted from 2009 to 2020 with an automated intake recording system. Feeding behavior traits included number of feeder visits per day, number of meals per day, duration of each feeder visit, duration of each meal, total duration of feeder visits, intake per visit, intake per meal [kg of dry matter (DM)], feeding rate per visit, and feeding rate per meal (kg of DM per min). The meal criterion was estimated as 26.4 min, which means that any pair of feeder visits separated by less than 26.4 min were considered part of the same meal. The statistical model included lactation and days in milk as fixed effects, and experiment-treatment, animal, and permanent environment as random effects. Genetic parameters for feeding behavior traits were estimated using daily records and weekly averages. Estimates of heritability for daily feeding behavior traits ranged from 0.09 ± 0.02 (number of meals; mean ± standard error) to 0.23 ± 0.03 (feeding rate per meal), with repeatability estimates ranging from 0.23 ± 0.01 (number of meals) to 0.52 ± 0.02 (number of feeder visits). Estimates of heritability for weekly averages of feeding behavior traits ranged from 0.19 ± 0.04 (number of meals) to 0.32 ± 0.04 (feeding rate per visit), with repeatability estimates ranging from 0.46 ± 0.02 (duration of each meal) to 0.62 ± 0.02 (feeding rate per visit and per meal). Most of the feeding behavior measures were strongly genetically correlated, showing that with more visits or meals per day, cows spend less time in each feeder visit or meal with lower intake per visit or meal. Weekly averages for feeding behavior traits were analyzed jointly with RFI and its components. Number of meals was genetically correlated with milk energy (0.48), metabolic body weight (−0.27), and RFI (0.19). Duration of each feeder visit and meal were genetically correlated with milk energy (0.43 and 0.44, respectively). Total duration of feeder visits per day was genetically correlated with DM intake (0.29), milk energy (0.62), metabolic body weight (−0.37), and RFI (0.20). Intake per visit and meal were genetically correlated with DM intake (0.63 and 0.87), milk energy (0.47 and 0.69), metabolic body weight (0.47 and 0.68), and RFI (0.31 and 0.65). Feeding rate was genetically correlated with DM intake (0.69), metabolic body weight (0.67), RFI (0.47), and milk energy (0.21). We conclude that measures of feeding behavior could be useful indicators of dairy cow feed efficiency, and individual cows that eat at a slower rate may be more feed efficient.