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Effects of selected feed additives on rumen pH dynamics, physiological responses, and rumen and cecum morphometrics in feedlot beef cattle

  • Maria Betânia Niehues ,

    Roles Conceptualization, Data curation, Investigation, Methodology, Writing – original draft

    maria.niehues@unesp.br

    Affiliation School of Veterinary Medicine and Animal Science, Sao Paulo State University, Botucatu, São Paulo, Brazil

  • Daniel Ioan Campos Gomes de Gouvêa,

    Roles Formal analysis, Methodology, Writing – review & editing

    Affiliation School of Veterinary Medicine and Animal Science, Sao Paulo State University, Botucatu, São Paulo, Brazil

  • Alexandre Perdigão,

    Roles Formal analysis, Project administration, Supervision, Writing – review & editing

    Affiliation DSM-Firmenich, Department of Innovation and applied Science, São Paulo, Brazil

  • Victor Valério Carvalho,

    Roles Conceptualization, Supervision, Writing – review & editing

    Affiliation DSM-Firmenich, Department of Innovation and applied Science, São Paulo, Brazil

  • Tiago Sabella Acedo,

    Roles Conceptualization, Writing – review & editing

    Affiliation DSM-Firmenich, Department of Innovation and applied Science, São Paulo, Brazil

  • Luis Fernando Monteiro Tamassia,

    Roles Conceptualization, Writing – review & editing

    Affiliation DSM-Firmenich, Animal Nutrition and Health, Basel, Switzerland

  • Cyntia Ludovico Martins,

    Roles Methodology, Validation, Writing – review & editing

    Affiliation School of Veterinary Medicine and Animal Science, Sao Paulo State University, Botucatu, São Paulo, Brazil

  • Mário De Beni Arrigoni

    Roles Methodology, Project administration, Supervision, Validation, Writing – review & editing

    Affiliation School of Veterinary Medicine and Animal Science, Sao Paulo State University, Botucatu, São Paulo, Brazil

Abstract

The search for alternatives to ionophore antibiotics such as monensin has increased due to regulatory restrictions and consumer demand for natural feed additives. The objective of this study was to evaluate the effects of feed additive combinations compared with sodium monensin on performance, carcass traits, ruminal and cecal health, and meat quality in feedlot-finished cattle. Twenty-four F1 Angus–Nellore crossbred bulls (BW = 456 ± 21.77 kg) were randomly assigned to one of three treatments: 1) sodium monensin (MON; 26 mg/kg DM); 2) a blend of essential oils plus α-amylase (BEO, 90 and 560 mg/kg of DM, respectively); and 3) BEO + 25-hydroxicholecalciferol (BEO + HyD; 1 mg/animal/day). Animals were considered the experimental units, and data were analyzed using a mixed model with treatment as fixed effect and animal as random effect. Feeding BEO and BEO + HyD increased DMI (P < 0.0001), HCW (P = 0.01), and dressing percentage (P = 0.03), and tended to increase ADG (P = 0.07) and final BW (P = 0.08) compared with MON, with no differences in feed efficiency (P > 0.50). Feed additives did not affect most meat quality traits (P > 0.05). During the adaptation period and overall, animals fed BEO and BEO + HyD maintained higher mean and minimum ruminal pH, spent less time below pH 6.2 and 6.0, and had a lower area under the curve below these thresholds, along with lower ruminal temperature compared with MON (P ≤ 0.05). Additionally, over the entire feeding period, animals fed BEO and BEO + HyD spent less time below pH 5.8 (P = 0.02). Animals fed MON and BEO exhibited greater ruminal absorptive surface area (P = 0.007) than those fed BEO + HyD. Cecal morphometric parameters were not affected by treatments (P > 0.05). In conclusion, the combination of a blend of essential oils and α-amylase improved ruminal health and enhanced performance and carcass production without affecting meat quality or cecal morphology compared with monensin. Supplementation with 1 mg of 25-(OH)D3 showed limited additional effects on carcass traits.

Introduction

The inclusion level of concentrate in the finishing diets in Brazil has increased, on a dry matter (DM) basis, from 71.2% [1] to 83.3% [2]. This rise in the use of concentrate feedstuffs in feedlot diets is associated with higher inclusion of cereal grains and investments in more extensive corn processing methods to enhance starch availability and the energy content of the final diets [3]. However, this dietary strategy to improve feedlot performance is often linked to the development of metabolic disorders, such as ruminal acidosis, which is the most prevalent digestive disorder in feedlot cattle in North America [4] and Brazil [2].

In this context, the use of monensin (MON) in livestock production systems is supported by several years of research demonstrating its benefits, primarily through the modulation of rumen fermentation [5,6], contributing to a lower incidence of metabolic disorders [7] while improving feed efficiency [8]. However, due to concerns about the development of bacterial resistance, the use of these antibiotic ionophores in animal feed is limited or banned in many countries [9]. Recently, this has generated significant efforts to develop alternatives that can enhance the rate, efficiency, and quality of gain and performance while preventing certain metabolic disorders and ensuring food safety security.

Alternative compounds, such blend essential oils (EO) have been evaluated as alternative feed additives in finishing cattle diets due to their potential to enhance ruminal fermentation efficiency and animal productivity [10,11]. Among the most studied compounds are limonene, thymol, vanillin, eugenol, capsaicin, and cinnamaldehyde [12]. These plant-derived secondary metabolites are mainly extracted by steam distillation [13]. Because of their bioactive properties, particularly antimicrobial effects, EO represent a promising alternative to antibiotics for modulating the rumen microbiome through selective inhibition of microbial populations [14]. According to McIntosh et al. [15], combining different EO can decrease both the abundance and diversity of hyper-ammonia-producing bacteria, thereby reducing deamination activity and ammonia production in the ruminal environment.

Furthermore, supplementing feedlot diets with exogenous α-amylase (AM) has been investigated as a strategy to enhance starch utilization [16], although responses in animal performance have been variable [17,18]. In dairy systems, AM supplementation has been associated with improvements in starch degradation, milk yield, and energy balance [19,20]. In beef cattle, the use of AM in combination with essential oils (BEO) has been explored as a means of modulating rumen fermentation patterns, potentially improving growth performance and meat quality [21,22]. The association of BEO resulted in animals with heavier carcasses compared to those fed MON, due to higher energy intake and greater nitrogen uptake [23].

Additionally, 25-hydroxicholecalciferol (25(OH)D3) has been proposed to enhance dressing percentage [24] and carcass [25] due to increased expression of genes associated with muscle anabolism [24]. Previous studies have observed that cattle supplemented with EO + 25(OH)D3 (HyD) had greater hot carcass weight (HCW) and longissimus muscle (LM) area than those fed MON + Virginiamycin (VM; [26]. Mendoza-Cortéz et al. [27] reported greater dry matter intake (DMI) and performance in cattle fed the EO + HyD combination compared to those fed MON. Conversely, [28] did not observe differences in performance and carcass production between cattle fed EO + HyD and those fed MON.

Since there are no studies in the literature evaluating the effect of EO combined with AM and HyD in feedlot diets containing high levels of starch, it was hypothesized that the combination of EO, AM, and HyD would improve the rumen environment and positively impact animal performance and carcass production. Therefore, the objective of this study was to evaluate the combination of EO and AM, as well as the association of EO with AM and HyD in feedlot diets with high starch content, on the performance, carcass traits, ruminal and cecal health, and meat quality of feedlot F1 Angus-Nellore crossbred cattle.

Materials and methods

The study was conducted at the feedlot of the Innovation Center Tortuga, DSM Nutritional Products (Rio Brilhante, Mato Grosso do Sul, Brazil). Animal care and handling procedures were performed in accordance with the guidelines of the Animal Use Ethics Committee (CEUA) and were approved by the Ethics Committee on Animal Use of the Innovation Center Tortuga, DSM Nutritional Products (Protocol No. CEUA 003/2019).

Animals and Treatments

Twenty-four F1 Angus-Nellore yearling bulls (18 months old, 456 ± 21.77 kg), originating from a grazing system, were randomly assigned to a completely randomized design with three treatments and eight replicates, with the individual animal considered the experimental unit. The animals were housed in a collective pen with a total area of 810 m² (33.75 m²/animal) and assigned to the following experimental treatments: T1) sodium monensin (MON; 26 mg/kg DM; Rumensin®, Elanco Animal Health, Indianapolis, IN, USA); T2) a blend of essential oils plus α-amylase (BEO; 90 and 560 mg/kg DM, respectively; CRINA Ruminants®, DSM Nutritional Products, Basel, Switzerland), containing thymol, eugenol, limonene, and vanillin, and an exogenous α-amylase enzyme (RONOZYME Rumistar®, DSM Nutritional Products); and T3) BEO supplemented with 25-hydroxycholecalciferol (BEO + HyD; 1 mg/animal/day; Hy-D®, Rovimix 1.25%, DSM Nutritional Products). The inclusion levels of BEO and AM were based on previous feedlot studies demonstrating their efficacy [21,29], whereas the dosage of 25-(OH)D3 was based on Martins et al., [24].

Individual DMI was measured daily using the Intergado monitoring system (Ponta Agro, Betim, Minas Gerais, Brazil), which consists of individual electronic feed bunks equipped with head gates. At the beginning of the experiment, animals were fitted with an ear tag containing a unique passive transponder (FDX—ISO 11784/11785; Allflex, Joinville, SC, Brazil), allowing access only to their designated automatic feed bunks.

Individual animal DMI was calculated daily based on feed bunk records and the dry matter (DM) content of the diet, which was determined daily by collecting samples of the total diet from each treatment and drying them in a MARCONI oven at 105 °C for 24 h. Diets were offered ad libitum, aiming to maintain feed refusals between 3% and 5% of the amount offered on the previous day, ensuring adequate intake while minimizing feed waste.

Feeding and Management Description

At the beginning of the study, all animals were individually weighed and subjected to a health management protocol, including vaccination against clostridiosis (Bovilis® Poli-Star®, Merck & Co., Inc., Rahway, NJ, USA) and deworming with Albendathor (JA Saúde Animal, Brazil).

Because the health and management history of the animals was unknown, they underwent a 15-day adaptation phase aimed at stabilizing ruminal microbiota and allowing acclimatization to the experimental facilities, automatic feed bunks, and routine management practices. Following this period, cattle underwent a 14-day dietary adaptation phase, during which they received step-up diets (adaptation diets 1, 2, and 3) for 5, 4, and 5 days, respectively. From day 15 of the trial until slaughter, animals were fed a finishing diet containing 90% concentrate. This adaptation strategy was based on the methodology described by Parra et al. [30], with adjustments for the present study. Cattle were fed for 102 days, and diets were offered ad libitum twice daily at 10:00 a.m. and 3:00 p.m., with free access to a water trough (650 L capacity; 3.00 × 0.80 × 0.20 m).

Diets formulation were based on the Large Ruminant Nutrition System (LRNS, Tedeschi and Fox, [31]), which estimates nutrient requirements and performance responses of beef cattle (Table 1). The experimental diets consisted of sugarcane bagasse, ground corn, soybean hulls, cottonseed, soybean meal, a mineral-vitamin supplement, urea and additives.

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Table 1. Ingredient and chemical composition of diet (DM basis).

https://doi.org/10.1371/journal.pone.0356262.t001

For bromatological analyses, samples of feed ingredients and experimental diets from each treatment were collected weekly, properly identified, and stored at −20 °C. At the end of the experimental period, samples were thawed, composited by treatment and experimental period. Subsequently, samples were analyzed for dry matter (DM) and crude protein (CP) according to AOAC [33] method 976.05), and neutral detergent fiber corrected for ash (NDF), following Mertens [34], using heat-stable α-amylase and without sodium sulfite.

Data collection of ruminal pH

The devices used to measure individual ruminal pH and temperature were smaXtec bolus (smaXtec Animal Care GmbH, Graz, Austria). All procedures for boluses calibration, administration, and data monitoring followed the protocol described by Crossland et al. [35]. Briefly, on day 0, eight animals from each treatment were randomly selected to receive an oral bolus. Prior to administration, all boluses were calibrated according to the manufacturer’s instructions using a pH 7 buffer solution for at least 5 minutes and then administered using a dosing gun. Two additional boluses were provided by the manufacturer in case of calibration failure.

Data from all smaXtec boluses were continuously recorded telemetrically throughout the experimental period, generating daily pH and temperature measurements at 10-minute intervals. At the end of the experiment, all data were retrieved using smaXtec Messenger® software and processed in Microsoft Excel. Individual parameters were calculated for each animal, including minimum, mean, and maximum pH, area under the curve, duration of pH below 6.2, 6.0, and 5.8, and mean ruminal temperature.

Serum concentrations of calcium, phosphorus and 25-(OH)D3

Blood samples were collected from the caudal vein of four animals per treatment at the beginning and end of the experimental period. For blood collection, 25 × 0.8 mm vacutainer needles (Vacuplast, Shandong, China) and vacuum tubes containing a clot activator (BD Vacutainer®, Franklin Lakes, NJ, USA) were used. After collection, samples were immediately placed on ice until centrifugation (approximately 30 min). Samples were centrifuged at 3,000 × g for 15 min, and a 0.5 mL aliquot of serum was transferred to Eppendorf tubes. Serum samples were then stored at −20 °C until analysis.

Serum concentrations of 25-(OH)D₃ and ionized calcium (iCa) were determined by chemiluminescence and dry chemistry methods, respectively (Oswaldo Cruz Clinical Analysis Laboratory, Taubaté, SP, Brazil). Total calcium (tCa) and total phosphorus (tP) concentrations were determined using commercial kits (Bioclin Biocontrol) based on endpoint colorimetric methods—Arsenazo III for calcium and UV phosphomolybdate for phosphorus (Veterinary Clinical Laboratory, FMVZ, UNESP, Botucatu, SP, Brazil).

Apparent Total Tract Starch Digestibility

Fecal samples were collected from all animals (n = 24) once daily at 13:00 h for five consecutive days (days 70–74 of the finishing period). The collection procedure followed the recommendations of Rigueiro et al. [36], whereby feces were collected directly from the ground immediately after defecation using labeled plastic bags. Additionally, samples of the offered diet and feed refusals were collected and stored together with the fecal samples at −20 °C for subsequent laboratory analyses.

Starch concentration in the diet, feed refusals, and fecal samples was determined according to the methods described by Pereira and Rossi [37] and Hendrix [38], whereas crude protein was determined using the Kjeldahl method [39]. Starch digestibility was then calculated as described by Zinn et al. [40].

Feedlot performance and carcass traits

Body weight (BW) and average daily gain (ADG) were monitored daily using a Bosch® Precision Livestock platform installed in the feedlot pen. At the beginning of the experiment, all animals were fitted with a Bosch electronic ear tag, allowing individual identification. For performance evaluation, individual BW measurements recorded by the Bosch® Precision Livestock platform at the beginning (initial BW), day 28 (d28 BW), and the end of the experimental period (final BW) were used. All BW values were adjusted by subtracting 4% to account for shrunk body weight.

ADG was calculated as the difference between final and initial BW divided by the number of days in each experimental period. DMI expressed as a percentage of BW (DMI, %BW) was calculated by dividing daily DMI by BW and multiplying the result by 100. Feed efficiency (G:F) was calculated by dividing ADG by daily DMI. The 12th-rib fat thickness, Biceps femoris fat thickness, LM area, and marbling were measured by ultrasound at the end of the experimental period following the method described by Perkins et al. [41]. Images were collected using an Aloka SSD-1100 Flexus RTU unit (Aloka Co. Ltd., Tokyo, Japan) equipped with a 17.2 cm, 3.5 MHz probe.

At the end of 102-day feedlot period, animals were transported 263 km to a commercial abattoir (Bataguassu, MS, Brazil). Animals were slaughtered under official inspection in accordance with Brazilian regulations for animal welfare and humane slaughter (Ordinance No. 365/2021, Ministry of Agriculture, Livestock and Food Supply). Prior to exsanguination, animals were rendered unconscious by mechanical stunning using a captive bolt device, ensuring rapid loss of sensibility and absence of pain. All procedures were performed by trained personnel, and efforts were made to minimize stress, discomfort, and suffering during handling and slaughter.

After removing the kidney, pelvic, and heart fat, HCW was recorded. Dressing percentage was calculated as the ratio of HCW to final BW.

Muscle fiber area

To determine the average muscle fiber area, samples of the Longissimus thoracis (LT) muscle from the left half carcasses of all animals were collected shortly after slaughter. After collection, muscle samples were sectioned into fragments approximately 1.0 cm in length and 0.5 cm in thickness, embedded in OCT compound, placed in cryogenic tubes, and rapidly frozen in liquid nitrogen.

Tissue quality was assessed during histological processing based on the preservation of muscle fiber morphology, including clear fiber boundaries, polygonal fiber shape, and the absence of evident freezing artifacts such as vacuolization, fiber disruption, or extensive ice crystal formation. Only sections with adequate structural preservation were used for morphometric analyses. Histological procedures were performed following the methodology described by Costa et al. [42], with minor modifications. Briefly, tissue sections were obtained using a cryostat, stained with hematoxylin and eosin (H&E), and examined under a light microscope equipped with an image capture system (Leica Qwin Image Analyzer, McBain Systems, CA, USA). To determine muscle fiber area, 200 fibers per animal were measured [43] by ImageJ software.

Meat quality analysis

Samples of the LT muscle were collected during carcass deboning (24 h post-mortem) from the left half-carcasses between the 11th and 13th ribs of each animal [44]. The samples were vacuum-packed in polyethylene bags and stored at −20 °C until further analyses. Three steak samples (approximately 2.54 cm thick) were obtained from each animal: one for pH and color determination, another for shear force and cooking loss evaluation, and a third for proximate composition analysis, as described below.

For pH and color determination, samples were removed from vacuum packaging and exposed to oxygen for 30 min at 4 °C. Meat pH was measured using a digital pH meter (Model AK86, AKSO Instruments, Rio Grande do Sul, Brazil) calibrated with standard buffers (pH 4.0 and 7.0). Color parameters (L* = lightness, a* = redness, b* = yellowness) were measured on the same steak according to the CIELab system using a portable colorimeter (CR-400, Konica Minolta, Tokyo, Japan), as described by [45]. Chroma index was calculated as and the hue angle was determined using the formula -1 [46, 47 respectively].

Meat shear force (SF) was evaluated according to the protocol described by Wheeler et al. [48] with minor modifications. Steak samples were thawed under refrigeration (4 °C) for approximately 24 h, weighed, and cooked in an industrial electric oven until the internal temperature reached 71 °C. After cooking, samples were cooled at 4 °C for 12 h, and eight cylindrical cores (approximately 12 mm in diameter) were removed parallel to the muscle fiber direction. Shear force was determined using a Brookfield CT-3 Texture Analyzer (AMETEK Brookfield) equipped with a Warner–Bratzler shear blade. Results were expressed in kilograms (kg) as the mean of eight measurements per sample.

Cooking losses were determined using the same procedure described for shear force. Steaks were weighed before and after cooking and cooled at room temperature (25 °C). Cooking loss was calculated as the percentage difference between raw and cooked weights, according to Baldassini et al. [49].

Analysis of centesimal composition was performed according to Santiago et al. [50], with minor adaptations. Steaks were thawed under refrigeration (4 °C) for 24 h, and visible subcutaneous fat and connective tissue were removed from all samples. Approximately 180 g of minced and homogenized sample (processed for 5 min in a food processor) was used to determine moisture, protein, and fat contents by near-infrared spectroscopy (NIRS) using a FoodScan Lab™ instrument (Foss NIRSystems, Inc., USA), following the procedure described by Anderson [51]. After each reading, the sample was removed, rehomogenized, and reanalyzed, and the mean of three readings was recorded [52]. Ash content was determined according to AOAC [53].

Muscle analyses of calcium and phosphorus

Calcium (Ca) and phosphorus (P) analyses in the LT muscle were performed at the Bioanalytical and Metalloproteomics Laboratory (UNESP, Botucatu, SP, Brazil) by flame atomic absorption spectrometry and visible spectrophotometry, respectively, following acid mineralization of the samples. The mineralization procedure was based on Neves et al. [54] with minor modifications, as briefly described below. Approximately 100 mg of each sample was transferred to 25 mL digestion flasks. Subsequently, 2.00 mL of 14 mol L ⁻ ¹ nitric acid and 0.50 mL of 30% (w/w) hydrogen peroxide were added. After cooling to room temperature, the acid extracts (final volume of approximately 6.50 mL) were transferred to 25.00 mL volumetric flasks, and the volume was brought to completion with ultrapure water. Ca concentrations were determined using a Shimadzu AA-6800 spectrometer equipped with a deuterium background correction system (SR), under the operating conditions described by Neves et al., [54]. P concentrations were determined using the vanadomolybdophosphoric acid spectrophotometric method. This method is based on the reaction of orthophosphate ions in an acidic medium with molybdate and vanadate ions, resulting in the formation of a yellow heteropolyacid complex. This complex absorbs visible radiation at 420 nm, and the absorbance is directly proportional to the concentration of orthophosphate (H2 PO42-) and/or total phosphorus in the acid extracts [55].

Muscle and liver gene expression

LT muscle and liver samples for gene expression analysis were collected from 24 animals (8 per treatment) immediately post-slaughter at the abattoir. Samples were placed in labeled cryogenic tubes, snap-frozen in liquid nitrogen, and stored at −80 °C until analysis.

Total RNA was extracted using TRIzol reagent (Invitrogen Co., Carlsbad, CA, USA) following the manufacturer’s instructions. RNA concentration was determined using a NanoDrop OneC spectrophotometer (Thermo Scientific, Carlsbad, CA, USA), and RNA integrity was assessed by electrophoresis on 2% agarose gels based on the visualization of 28S and 18S rRNA bands. The isolated RNA was treated with DNase I (Thermo Scientific, Carlsbad, CA, USA) to remove genomic DNA contamination. RNA quality was considered adequate for downstream analyses, with 260/280 ratios of 2.04 ± 0.01 for muscle samples and 2.08 ± 0.04 for liver samples.

Complementary DNA (cDNA) was synthesized using the High-Capacity cDNA Reverse Transcription Kit (Applied Biosystems™, Cat. No. 4368814, Foster City, CA, USA) according to the manufacturer’s protocol. Primer pairs for eighteen target genes were designed using Primer3Plus software [56] and their specificity was verified using NCBI Primer–BLAST [57] (Tables S1S3). The target genes included phosphoenolpyruvate carboxykinase 1 (PCK1), phosphoenolpyruvate carboxykinase 2 (PCK2), glucose-6-phosphatase catalytic subunit (G6PC), carbamoyl-phosphate synthetase 1 (CPS1), glutamic-oxaloacetic transaminase 1 (GOT1), argininosuccinate synthetase 1 (ASS1), serum amyloid A3 (SAA3), toll-like receptor 4 (TLR4), TNF receptor-associated factor 6 (TRAF6), mechanistic target of rapamycin (mTOR), ribosomal protein S6 kinase A1 (RPS6KA1), insulin-like growth factor 1 (IGF1), insulin-like growth factor 2 (IGF2), myostatin (MSTN), vitamin D receptor (VDR), cytochrome P450 family 27 subfamily B member 1 (CYP27B1), sterol regulatory element-binding transcription factor 1 (SREBF1), peroxisome proliferator-activated receptor gamma (PPARG), as well as and two reference genes: beta-actin (ACTB) and glyceraldehyde-3-phosphate dehydrogenase (GAPDH).

qPCR reactions were performed on a CFX96™ thermal cycler (Bio-Rad) in a final volume of 10 μL, containing 2 × qPCRBIO SyGreen Mix (PCR Biosystems, London, UK), 1 μL of cDNA, and forward and reverse primers at optimized concentrations. Amplification conditions for ACTB, GAPDH, G6PC, PCK1, SAA3, TLR4, TRAF6, mTOR, MSTN, VDR, IGF2, GOT1, CPS1, CYP27B1, PPARG, and SREBF1 consisted of an initial denaturation at 95 °C for 2 min, followed by 40 cycles of 95 °C for 5 s and 60 °C for 30 s. For PCK2, amplification was performed with an initial denaturation at 95 °C for 2 min, followed by 40 cycles of 95 °C for 5 s, 60 °C for 30 s, and 83 °C for 10 s. For ASS1, IGF1, and RPS6KA1, cycling conditions consisted of an initial denaturation at 95 °C for 2 min, followed by 40 cycles of 95 °C for 5 s, 60 °C for 30 s, and 78 °C for 10 s. Melting curve analysis was performed to confirm single-product amplification. All samples were run in triplicate from the same RNA extraction, and the mean of the triplicates was used for analysis.

qPCR efficiency for each gene was determined individually from the slope of a standard curve generated using triplicate serial dilutions of cDNA. Amplification efficiency (E) was calculated according to the equation: E = 10(−1/slope) [58]. Relative quantification (RQ) of gene expression was calculated using a modified Pfaffl method [58], applying the formula: E target ΔCt target (calibrator Ct – Sample Ct). Relative expression values were normalized to the geometric mean of the reference genes ACTB and GAPDH, as previously described for hepatic and muscle tissues [59,60].

Liver Abscess, Rumen and Cecum Morphometrics

During slaughter, all livers were inspected for the presence of hepatic abscesses. When detected, abscesses were classified according to the scoring system proposed by Brink et al. [61]. To evaluate rumen health, all rumens were emptied, opened, and washed with running water immediately after slaughter to remove digesta. The ruminal epithelium was then examined for lesions, including epithelial disruptions, papillary hyperkeratosis, inflammation, and changes in papillae or epithelial color, following the criteria described by Bigham and McManus [62]. Two trained evaluators, blinded to treatments, independently scored each rumen, and the mean score per animal was used for statistical analysis.

Immediately after rumen evaluation, tissue samples (1 cm2) were collected from the dorsal cranial sac and preserved in phosphate-buffered saline (PBS) solution for subsequent macroscopic as described by Resende Júnior et al. [63]. The number of papillae per cm2 of ruminal wall (NOP) was manually counted by four independent observers, and the mean value was used for analysis. Subsequently, twelve papillae were randomly selected and sectioned at the base for digital imaging and determination of the average papillary area (APA) using the ImageTool software (UTHSCSA; v2.01). The absorptive surface area (ASA) was estimated using the equation according to the methodology described by Daniel et al. [64], and the results were expressed in cm2.

For microscopic morphometric analyses, an approximately 1 cm2 sample was collected from the ventral cranial sac of each rumen, rinsed in PBS) to remove residual digesta and maintain tissue hydration, and subsequently fixed in 4% paraformaldehyde until histological processing according to standard procedures [65]. Histological measurements, including papillae height, width, surface area, and keratinized layer thickness, were obtained from 10% of the previously determined NOP using a Leica Qwin Image Analyzer coupled to a Leica light microscope.

Cecal evaluation was performed immediately after slaughter, following evisceration, emptying, and washing. The presence of inflammation and lesions in the cecal wall was scored on a scale from 0 (no lesions) to 10 (severe lesions), as adapted from Pereira et al. [66]. Scoring was conducted independently by two trained evaluators blinded to treatments, and the final value represented the mean of both scores.

For histological analyses, a 1 cm2 tissue fragment was collected from the central region of each cecum and fixed in 4% paraformaldehyde-buffered solution until processing [67]. Histological procedures were performed as described by Rigueiro et al. [68], including dehydration, paraffin embedding, sectioning, and H&E staining. Morphometric measurements, such as crypt depth and goblet cell count, were obtained from 10% of the total crypts per animal using a Leica Qwin Image Analyzer attached to a Leica light microscope.

Statistical Analysis

All analyses were performed using the MIXED procedure of SAS (SAS Inst. Inc., Cary, NC), with animals considered the experimental units. The statistical model included treatment as a fixed effect and animal as a random effect. Initial BW and baseline blood values were included as covariates when significant. Prior to the main analysis, data normality was assessed using the PROC UNIVARIATE procedure, and normality was assumed when the Shapiro–Wilk test resulted in P ≥ 0.05. Model adequacy was evaluated by residual analysis to ensure that the assumptions of normality and homoscedasticity were met. When treatment effects were significant (P ≤ 0.05) or tended to be significant (0.05 < P ≤ 0.10), means were compared using the Tukey–Kramer test.

Results

Dry matter intake and performance

DMI and productive performance data are presented in Table 2. During the first 28 days of the feeding period, animals fed diets containing BEO and BEO + HyD had greater DMI (P < 0.0001) and DMI as a percentage of BW (P < 0.001); however, no differences were observed for ADG (P = 0.16), BW (P = 0.17), or G:F ratio (P = 0.79).

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Table 2. Effects of feed additives and their combinations on dry matter intake and productive performance of feedlot F1 Angus-Nellore bulls.

https://doi.org/10.1371/journal.pone.0356262.t002

During the overall feedlot period (102 days), animals fed BEO and BEO + HyD showed greater DMI (P < 0.0001) and DMI as a percentage of BW (P = 0.003), and tended to have greater ADG (P = 0.07) and final BW (P = 0.08) compared with MON, although no significant differences were observed for G:F ratio (P = 0.50).

Carcass and meat quality traits

Animals fed BEO and BEO + HyD showed greater HCW (P = 0.01) and dressing percentage (P = 0.03) compared with those fed MON (Table 3). However, longissimus muscle area, 12th-rib backfat thickness, P8 fat thickness, and marbling were similar among treatments (P > 0.05). Furthermore, feeding BEO and BEO + HyD increased mean muscle fiber area (Fig 1) compared with animals fed MON alone. Representative histological images illustrating muscle fiber morphology for each treatment are provided in the Supporting Information (S4 Fig).

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Table 3. Effects of feed additives and their combinations on carcass traits of feedlot F1 Angus-Nellore bulls.

https://doi.org/10.1371/journal.pone.0356262.t003

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Fig 1. Mean cross-sectional area of Longissimus thoracis muscle fibers in feedlot F1 Angus–Nellore bulls.

aMON = sodium monensin (26 mg/kg DM); BEO = blend of essential oils + exogenous α-amylase (90 and 560 mg/kg DM, respectively); BEO + HyD = blend of essential oils + exogenous α-amylase + 25- hydroxycholecalciferol (90, 560 mg/kg mg/kg DM and 1 mg/animal/day, respectively). Sodium monensin (Rumensin) was from Elanco Animal Health, Indianapolis, IN. The blend of essential oils (CRINA Ruminants), and the exogenous enzymes (α-amylase [RONOZYME RumiStar] and 25- hydroxycholecalciferol (Rovimix Hy-D 1.25%) were provided by DSM Nutritional Products, Basel, Switzerland. bSEM: standard error of the mean. cP ≤ 0.05 values were considered significant effects and trends were considered at 0.05 < P ≤ 0.10. a-c: Means with different letters in the same row differ (P < 0.05).

https://doi.org/10.1371/journal.pone.0356262.g001

No significant differences were observed among treatments for most meat quality traits (Table 4) and chemical composition variables (Table 5) (P > 0.05). The only exception was L*, which tended to be greater in animals fed MON than in those fed BEO + HyD (P = 0.10), whereas animals fed BEO showed intermediate values and did not differ from the other treatments.

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Table 4. Effects of feed additives and their combinations on meat quality traits of feedlot F1 Angus-Nellore bulls.

https://doi.org/10.1371/journal.pone.0356262.t004

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Table 5. Effects of feed additives and their combinations on centesimal composition of the meat of feedlot F1 Angus-Nellore bulls.

https://doi.org/10.1371/journal.pone.0356262.t005

Apparent total tract starch digestibility

Compared with MON, fecal starch concentration was reduced by 39.58% in BEO and 57.51% in BEO + HyD (P = 0.004). Similarly, total tract starch digestibility increased by 2.41% in BEO and 3.48% in BEO + HyD (P = 0.002). Fecal nitrogen was not affected by treatments (P = 0.11) (Table 6).

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Table 6. Effects of feed additives and their combinations on fecal starch and apparent total tract digestibility of starch of feedlot F1 Angus-Nellore bulls.

https://doi.org/10.1371/journal.pone.0356262.t006

Rumenitis score, rumen and cecum morphometrics

No treatment effects were observed for rumenitis score, number of papillae, or papillae area (P > 0.05; Table 7). However, animals fed BEO and MON showed greater ASA (P = 0.007) and papillae area expressed as a percentage of ASA (P = 0.01) compared with those fed BEO + HyD. No liver abscesses were observed in bulls slaughtered at the end of the experimental period. Additionally, no treatment effects were observed for cecal morphometric parameters (P > 0.05).

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Table 7. Effects of feed additives and their combinations on rumen morphometrics of feedlot F1 Angus-Nellore bulls.

https://doi.org/10.1371/journal.pone.0356262.t007

Ruminal pH

During the adaptation period (i.e., the first 14 days), animals fed BEO and BEO + HyD had greater mean ruminal pH (P = 0.001) and minimum ruminal pH (P < 0.0001) than those fed MON (Table 8). There was also a tendency for maximum ruminal pH (P = 0.09), with animals fed BEO showing greater values than those fed MON, whereas the BEO + HyD treatment was intermediate and did not differ from the other treatments.

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Table 8. Effects of feed additives and their combinations on ruminal pH of feedlot F1 Angus-Nellore bulls during adaptation period.

https://doi.org/10.1371/journal.pone.0356262.t008

Animals fed MON tended to present a greater area under the curve below pH 6.2 (P = 0.05) compared with those fed BEO, whereas the BEO + HyD treatment was intermediate and did not differ from the other treatments. However, treatments did not affect the area under the curve below pH 5.8 (P = 0.55) or 6.0 (P = 0.28). Furthermore, animals fed BEO spent less time below pH 6.0 than those fed MON (P = 0.04), whereas the BEO + HyD treatment was intermediate and did not differ from the other treatments. The duration of ruminal pH below 6.2 was shorter in animals fed BEO and BEO + HyD compared with those fed MON (P = 0.0002). In contrast, treatments did not affect the duration of ruminal pH below 5.8 (P = 0.26).

Regarding ruminal temperature, animals fed MON had greater ruminal temperature than those fed BEO and BEO + HyD (P = 0.05).

Over the entire feeding period (Table 9), animals fed BEO had greater mean, minimum, and maximum ruminal pH values than those fed MON, whereas the BEO + HyD treatment showed intermediate values and differed from both MON and BEO (P < 0.0001).

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Table 9. Effects of feed additives and their combinations on ruminal pH of feedlot F1 Angus-Nellore bulls during the total feeding period.

https://doi.org/10.1371/journal.pone.0356262.t009

Furthermore, feeding BEO and BEO + HyD reduced the area under the curve below pH 6.0 (P = 0.005) and 6.2 (P < 0.0001), and decreased the duration of ruminal pH below 5.8 (P = 0.02; Fig 2), 6.0 (P < 0.0001), and 6.2 (P < 0.0001) compared with MON. Animals fed BEO also spent less time below pH 6.2 than those fed BEO + HyD and MON.

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Fig 2. Effects of feed additives and their combinations on the daily duration of ruminal pH below 5.8 of feedlot F1 Angus-Nellore bulls during the total feeding period.

Days 1–98 correspond to observations made during the total feeding period. MON = sodium monensin (26 mg/kg DM); BEO = blend of essential oils + exogenous α-amylase (90 and 560 mg/kg DM, respectively); BEO+HyD = blend of essential oils + exogenous α-amylase + 25- hydroxycholecalciferol (90, 560 mg/kg mg/kg DM and 1 mg/animal/day, respectively). Sodium monensin (Rumensin) was from Elanco Animal Health, Indianapolis, IN. The blend of essential oils (CRINA Ruminants), and the exogenous enzymes (α-amylase [RONOZYME RumiStar] and 25- hydroxycholecalciferol (Rovimix Hy-D 1.25%) were provided by DSM Nutritional Products, Basel, Switzerland. SEM: standard error of the mean. P ≤ 0.05 values were considered significant effects and trends were considered at 0.05 < P ≤ 0.10.

https://doi.org/10.1371/journal.pone.0356262.g002

Regarding ruminal temperature, feeding MON increased ruminal temperature compared with BEO and BEO + HyD treatments (P < 0.0001). However, treatments did not affect the area under the curve below pH 5.8 (P = 0.59).

Serum and muscle calcium, phosphorus and 25-(OH)D3 concentrations

No significant differences were observed among treatments for serum or muscle P concentrations or for muscle Ca concentrations (P > 0.05) (Table 10). However, animals fed BEO had greater serum tCa concentrations (P = 0.04) and tended to have greater iCa concentrations (P = 0.08) compared with those fed BEO + HyD, whereas animals fed MON showed intermediate values and did not differ from the other treatments. Serum concentrations of 25-(OH)D₃ were greater (P = 0.002) in animals fed BEO + HyD than in those fed MON and BEO.

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Table 10. Effects of feed additives and their combinations serum and muscle concentrations of calcium, phosphorus and 25-(OH)D3 of feedlot F1 Angus-Nellore bulls.

https://doi.org/10.1371/journal.pone.0356262.t010

Gene expression

Gene expression data for the LT muscle and liver are presented in Figs 3 and 4, respectively. In muscle tissue, differences among treatments were observed only for IGF2, VDR, and SREBF1. Animals fed MON and BEO + HyD showed greater IGF2 expression (P = 0.0003) than those fed BEO. In addition, MON increased the expression of VDR (P = 0.01) and SREBF1 (P = 0.01), whereas the BEO + HyD treatment showed intermediate values and did not differ from the other treatments for SREBF1 expression.

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Fig 3. Effects of feed additives and their combinations gene expression in muscle of feedlot F1 Angus-Nellore bulls.

MON (green bar) = sodium monensin (26 mg/kg DM); BEO (red bar) = blend of essential oils + exogenous α-amylase (90 and 560 mg/kg DM, respectively); BOE + HyD (blue bar) = blend of essential oils + exogenous α-amylase + 25-hydroxycholecalciferol (90, 560 mg/kg mg/kg DM and 1 mg/animal/day, respectively). Sodium monensin (Rumensin) was from Elanco Animal Health, Indianapolis, IN. The blend of essential oils (CRINA Ruminants), and the exogenous enzymes (α-amylase [RONOZYME RumiStar] and 25-hydroxycholecalciferol (Rovimix Hy-D 1.25%) were provided by DSM Nutritional Products, Basel, Switzerland. aGenes include: mTOR (mechanistic target of rapamycin); Rps6k (ribosomal protein S6 kinase A1); IGF1 (insulin-like growth factor 1); IGF2 (insulin-like growth factor 2); MSTN (myostatin); VDR (vitamin D3 receptor); CYP27B1 (cytochrome P450 family 27 subfamily B member 1); SREBF1 (sterol regulatory element binding transcription factor 1); PPARG (peroxisome proliferator-activated receptor gamma). P ≤ 0.05 values were considered significant effects and trends were considered at 0.05 < P ≤ 0.10. a-b: Means with different letters within genes differ (P < 0.05). Treatment effects were significant for IGF2 (P = 0.0003), VDR (P = 0.01), and SREBF1 (P = 0.01), whereas no differences were observed for thengenes mTOR (P = 0.12), Rps6k (P = 0.27), IGF1 (P = 0.56), MSTN (P = 0.12), CYP27B1 (P = 0.21) and PPARG (P = 0.97).

https://doi.org/10.1371/journal.pone.0356262.g003

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Fig 4. Effects of feed additives and their combinations gene expression in liver of feedlot F1 Angus-Nellore bulls.

MON (green bar) = sodium monensin (26 mg/kg DM); BEO (red bar) = blend of essential oils + exogenous α-amylase (90 and 560 mg/kg DM, respectively); BOE + HyD (blue bar) = blend of essential oils + exogenous α-amylase + 25-hydroxycholecalciferol (90, 560 mg/kg mg/kg DM and 1 mg/animal/day, respectively). Sodium monensin (Rumensin) was from Elanco Animal Health, Indianapolis, IN. The blend of essential oils (CRINA Ruminants), and the exogenous enzymes (α-amylase [RONOZYME RumiStar] and 25-hydroxycholecalciferol (Rovimix Hy-D 1.25%) were provided by DSM Nutritional Products, Basel, Switzerland. aGenes include: PCK1 (phosphoenolpyruvate carboxykinase 1); PCK2 (phosphoenolpyruvate carboxykinase 2); G6PC (glucose-6-phosphatase catalytic subunit); CPS-1 (carbamoyl-phosphate synthase 1); GOT1 (glutamic-oxaloacetic transaminase 1); ASS1 (argininosuccinate synthase 1); SAA3 (serum amyloid A3); TLR4 toll-like receptor 4 and TRAF6 (TNF receptor-associated factor). P ≤ 0.05 values were considered significant effects and trends were considered at 0.05 < P ≤ 0.10. a-b: Means with different letters within genes differ (P < 0.05). No treatment effects were observed for the genes PCK1 (P = 0.38), PCK2 (P = 0.34), G6PC (P = 0.36), GOT1 (P = 0.40), CPS-1 (P = 0.11) ASS1 (P = 0.46), SAA3 (P = 0.18), TLR4 (P = 0.71) and TRAF6 (P = 0.59).

https://doi.org/10.1371/journal.pone.0356262.g004

In liver tissue, no differences in gene expression were observed among treatments for any of the evaluated genes (P > 0.05; Fig 4).

Discussion

This study evaluated the effects of replacing sodium monensin with alternative feed additive strategies based on essential oils, α-amylase, and 25-hydroxycholecalciferol on performance, ruminal environment, and digestive tract morphology in feedlot cattle fed high-concentrate diets. Considering that improvements in animal performance are closely associated with ruminal stability and nutrient utilization efficiency, the present results are discussed in terms of how these additives may modulate ruminal fermentation and digestive processes to enhance growth performance compared with monensin.

Given the central role of ruminal pH stability in maintaining fermentative efficiency and digestive health under high-concentrate feeding conditions, the present findings suggest that BEO-based strategies promoted a more stable ruminal environment than MON.

During the adaptation period (days 1–28), cattle fed BEO and BEO + HyD exhibited greater DMI than those fed MON, although no differences in performance were observed during this phase. Similar responses have been reported in feedlot cattle fed BEO during the early adaptation period, with greater DMI, which in some cases was associated with increased ADG and final BW, without changes in G:F [21,29]. The greater DMI observed in animals fed BEO and BEO + HyD during the adaptation phase may be considered a favorable response, as newly received feedlot cattle are typically subjected to stress and metabolic challenges that suppress feed intake. Therefore, the ability of these additives to promote earlier recovery of intake may have contributed to improved nutrient supply and subsequent growth performance during the finishing period.

Consistent with this initial response, animals fed BEO and BEO + HyD maintained greater DMI throughout the experimental period than those fed MON, resulting in greater carcass production despite similar feed efficiency among treatments. Similar responses have been reported for BEO-based strategies, which generally increase DMI and carcass weight without consistent effects on feed efficiency [21,23,29]. In some studies, greater intake was associated with increased ADG and hot carcass weight (HCW) [21,22], whereas others reported no differences in performance or carcass traits compared with MON [28,69], indicating that responses may vary according to experimental conditions.

In the present study, the greater performance observed in animals fed BEO and BEO + HyD appears to be associated not only with increased nutrient intake, but also with improved starch digestibility and utilization. These treatments showed lower fecal starch concentrations and greater total tract starch digestibility compared with MON, indicating more efficient utilization of dietary starch and, consequently, greater availability of metabolizable energy to support growth and carcass deposition. Reductions in fecal starch concentration and improvements in starch utilization have also been reported in cattle fed BEO-based additives [21,22], although responses are not always consistent across studies [23]. In addition, previous studies have demonstrated that BEO supplementation may increase ruminal starch digestibility compared with ionophore-based strategies [70]. In this context, the inclusion of α-amylase likely played an important role in these responses, as previous studies have shown that performance improvements associated with this enzyme are frequently related to increased nutrient availability and enhanced starch digestion [17].

Supplementation with α-amylase may have contributed to these responses, as exogenous amylolytic enzymes can enhance starch hydrolysis and increase the availability of fermentable substrates for ruminal microorganisms. The release of intermediate products, such as maltodextrins, may promote cross-feeding interactions between amylolytic and non-amylolytic bacteria, thereby improving overall nutrient digestion [16,71,72]. In addition, enhanced starch hydrolysis may favor fermentation pathways associated with greater propionate production and energetic efficiency, which may have contributed to the greater carcass production observed in animals fed BEO and BEO + HyD.

Importantly, the greater starch digestibility observed in these treatments was not accompanied by reductions in ruminal pH or signs of impaired digestive health. These findings indicate that the combination of essential oils and α-amylase improved starch utilization without compromising ruminal fermentative stability. Although the inclusion of 25-(OH)D₃ did not result in additional improvements in performance, its potential metabolic and molecular effects are discussed in the following sections.

According to Barker et al. [73], increased substrate supply to the rumen enhances microbial fermentation and short-chain fatty acid (SCFA) production, making efficient absorption essential to prevent excessive accumulation and the onset of acidosis. In the present study, absorptive surface area (ASA) and papillary area (% of ASA) did not differ between the MON and BEO treatments; however, papillary surface area was greater in animals fed BEO, suggesting localized structural adaptations of the ruminal epithelium. Silva et al. [29] reported greater ASA, papillary area (% of ASA), and papillae height in cattle fed BEO compared with MON, which is not entirely consistent with the findings of the present study, indicating that the response may depend on experimental conditions.

Essential oils have been shown to modulate ruminal fermentation patterns, particularly by increasing propionate production [74], a key SCFA involved in stimulating ruminal papillae development [75]. The greater dry matter intake (DMI) observed in the BEO treatment may have increased ruminal fermentation and SCFA production; however, the greater papillary development likely enhanced SCFA absorption, contributing to a more stable ruminal environment. Importantly, rumenitis scores were similar among treatments, indicating that none of the additive strategies adversely affected ruminal health. Collectively, these responses suggest improved ruminal function, which may have contributed to the greater growth performance observed in animals fed BEO.

Although animals fed BEO + HyD showed lower ASA compared with the other treatments, this reduction did not impair animal performance. While this response may suggest reduced absorptive capacity, the similar rumenitis scores and papillae keratinised layer thickness among treatments do not support an interpretation based on greater ruminal damage. Previous studies have indicated that rumenitis may reduce ASA and impair SCFA absorption [76], but such effects were not clearly evident under the conditions of the present study. Animals fed MON exhibited ASA values similar to those of the BEO treatment; however, the lower DMI and consequently lower NDF intake observed in this group may have reduced rumination and saliva secretion, potentially limiting buffering capacity and contributing to lower ruminal pH values compared with the other treatments.

The greater ruminal stability observed in animals fed BEO and BEO + HyD was further supported by the higher ruminal pH, reduced time below critical thresholds, and lower severity of subacute ruminal acidosis (SARA). Ruminal pH values below 5.8 are associated with impaired fiber digestion and increased risk of metabolic disorders [7779], and both the duration and magnitude of pH depression are important indicators of SARA severity [80,81]. In the present study, animals fed BEO and BEO + HyD maintained higher ruminal pH values and spent less time below these thresholds, indicating a more stable fermentation pattern. This effect may be related to the ability of essential oils to modulate ruminal microbiota and reduce acid accumulation under high-starch diets [13]. Previous studies evaluating BEO-based strategies have reported inconsistent effects on ruminal pH. While some authors observed no differences compared with MON [21,23,70], others reported reduced time below low pH thresholds or greater mean ruminal pH in animals supplemented with essential oils [69,82]. This variability suggests that the response may depend on diet composition, intake level, and experimental conditions.

In the present study, BEO and BEO + HyD clearly improved ruminal pH stability compared with MON. Despite the greater DMI observed in these treatments, no alterations in cecal morphometry were detected, suggesting that the increased flow of fermentable substrates to the hindgut did not compromise cecal integrity. Previous studies have reported that BEO supplementation may modulate intestinal morphology and reduce inflammatory responses, even under high-starch feeding conditions [29,83], supporting the absence of detrimental effects observed in the present study.

Collectively, the combination of greater feed intake, improved starch digestibility, and enhanced ruminal pH stability likely contributed to a more efficient digestive process and to the greater performance observed in animals fed BEO and BEO + HyD. Furthermore, the maintenance of cecal integrity indicates that these improvements in ruminal function did not result in excessive post-ruminal fermentation, reinforcing that the increased nutrient utilization occurred without compromising digestive tract health.

During episodes of subacute ruminal acidosis (SARA), inflammatory responses may be increased due to elevated concentrations of free lipopolysaccharides (LPS) in the bloodstream, leading to greater hepatic expression of immune-related genes involved in inflammatory pathways, such as SAA3, TLR4 [84,85], and TRAF6 [86]. In the present study, however, no differences were observed in the expression of these genes among treatments, despite the differences in ruminal pH. This indicates that the magnitude of pH reduction was not sufficient to trigger systemic inflammatory responses or impair liver function.

In addition, although animals fed MON spent more time at ruminal pH values below 5.8, no changes were observed in the expression of lipogenic genes (SREBF1 and PPARG) or in carcass fat deposition. These findings suggest that the alterations in ruminal fermentation were not severe enough to affect lipid metabolism at the tissue level, as also reported in studies evaluating moderate diet-induced changes in ruminal fermentation [87,88]. Collectively, these results indicate that differences in ruminal pH among treatments did not result in measurable metabolic or inflammatory alterations.

Considering the greater dry matter intake and improved performance observed in animals fed BEO and BEO + HyD, it was hypothesized that hepatic expression of genes related to gluconeogenesis (PCK1, PCK2, and G6PC) would be increased, whereas genes associated with ureagenesis (CPS1, GOT1, and ASS1) would be reduced. However, this hypothesis was not confirmed. Despite evidence that increased propionate availability may stimulate the expression of gluconeogenic genes in ruminants [89] and reduce hepatic ureagenesis [90], no differences were observed among treatments. These findings suggest that the improved performance of animals fed BEO and BEO + HyD was not driven by transcriptional changes in hepatic energy metabolism, but rather by increased nutrient intake and improved digestive efficiency.

The greater carcass production observed in the BEO and BEO + HyD treatments during the finishing phase was attributed to muscle hypertrophy, as an increase in muscle fiber cross-sectional area was observed in the LT muscle. To the best of our knowledge, this is the first study to demonstrate an increase in mean muscle fiber area in cattle supplemented with this specific combination of BEO or BEO + HyD. Likewise, supplementation with 25-(OH)D₃ has been reported to enhance muscle development and the expression of genes associated with protein synthesis [24,91,92]; however, no additional effects were observed in the present study, despite numerical improvements in carcass traits. This lack of effect may be partially associated with methodological limitations, including the relatively small number of experimental units, which may have limited the detection of subtle treatment responses. In addition, the absence of initial ultrasound evaluation and reference slaughter limited a more robust assessment of carcass development throughout the experimental period. Therefore, future studies using a larger number of animals, initial ultrasound evaluation, and baseline carcass measurements are needed to more comprehensively elucidate the effects of 25-(OH)D₃ on muscle growth and performance in feedlot cattle.

Overall, the absence of consistent changes in gene expression suggests that the performance improvements observed in animals fed BEO and BEO + HyD were primarily driven by improvements in digestive and metabolic efficiency rather than by direct modulation of gene expression pathways.

In addition to its role in Ca and P homeostasis [93], vitamin D has been widely investigated as a strategy to improve meat tenderness in beef cattle. Although supplementation with 25-(OH)D₃ increased circulating 25-(OH)D₃ concentrations, no corresponding changes were observed in serum or muscle Ca and P concentrations or in meat tenderness. Similar responses have been reported in the literature, in which increases in circulating 25-(OH)D₃ concentrations do not consistently translate into greater Ca and P availability or improvements in meat tenderness [9496]. Although some studies have reported increases in serum or muscle Ca concentrations following 25-(OH)D₃ supplementation [24,91], these responses have not been consistently associated with reductions in shear force. In particular, strategies involving higher doses administered shortly before slaughter (24–48 h) have been proposed to enhance Ca mobilization and potentially improve meat tenderness [97]. This variability suggests that the effectiveness of vitamin D supplementation may depend on factors such as dose, duration, and timing of administration relative to slaughter [98]. However, under the conditions of the present study, supplementation with 25-(OH)D₃ did not result in sufficient increases in Ca availability to influence muscle proteolysis or meat quality traits.

In the present study, the additives had minimal effects on meat quality traits, with the exception of L*, which tended to be greater in animals fed MON. A similar response was reported by Toseti et al. [22], who also observed greater L* values in cattle fed MON compared with BEO. According to Abularach et al. [99], L* values below 29.7 indicate darker meat, whereas values above 38.5 are associated with lighter meat; therefore, the L* values observed in the present study suggest relatively darker meat, which may be less attractive to consumers.

Overall, previous studies have reported inconsistent effects of enzyme- and essential oil-based additives on meat quality traits. While some studies observed no changes in carcass pH, fat deposition, or color parameters, others reported improvements in redness or reductions in shear force depending on the additive type and experimental conditions [10,16,100,101]. This variability suggests that the effects of these additives on meat quality are limited and highly dependent on diet composition and management factors.

In the present study, the absence of consistent changes across most meat quality traits indicates that the improvements observed in performance and carcass production were not accompanied by major alterations in meat quality.

Conclusion

Overall, the combination of essential oils and α-amylase improved ruminal stability and starch utilization, resulting in greater dry matter intake, carcass production, and overall performance in feedlot cattle fed high-concentrate diets. Importantly, these improvements were achieved without detrimental effects on cecal morphology or meat quality, indicating that the enhanced nutrient utilization did not compromise digestive tract health. Supplementation with 25-(OH)D₃ showed limited additional effects on performance and carcass traits under the conditions of the present study. Collectively, these findings suggest that the combination of essential oils and α-amylase represents a viable alternative to monensin by improving ruminal function and nutrient utilization efficiency in finishing feedlot cattle.

Supporting information

S1 Table. The nucleotide sequence of the housekeeping PCR primers used to assay gene expression by real-time quantitative PCR.

aACTB = actin beta; GAPDH = glyceraldehyde-3-phosphate dehydrogenase. bPrimer direction. F= forward; R= Reverse. cAmplicon Size in base pairs (bp). dNCBI, National Center for Biotechnology Information database (www.ncbi.nlm.nih.gov).

https://doi.org/10.1371/journal.pone.0356262.s001

(DOCX)

S2 Table. The nucleotide sequence of the PCR primers used to assay gene expression by real-time quantitative PCR in liver tissue.

aPCK1 (phosphoenolpyruvate carboxykinase 1); PCK2 (phosphoenolpyruvate carboxykinase 2); G6PC (glucose-6-phosphatase catalytic subunit); CPS-1 (carbamoyl-phosphate synthase 1); GOT1 (glutamic-oxaloacetic transaminase 1); ASS1 (argininosuccinate synthase 1); SAA3 (serum amyloid A3); TLR4 toll-like receptor 4 and TRAF6 (TNF receptor-associated factor). bPrimer direction. F= forward; R= Reverse. cAmplicon Size in base pairs (bp). dNCBI, National Center for Biotechnology Information database (www.ncbi.nlm.nih.gov).

https://doi.org/10.1371/journal.pone.0356262.s002

(DOCX)

S3 Table. The nucleotide sequence of the PCR primers used to assay gene expression by real-time quantitative PCR in muscle tissue.

amTOR (mechanistic target of rapamycin); RPS6KA1 (ribosomal protein S6 kinase A1); IGF1 (insulin-like growth factor 1); IGF2 (insulin-like growth factor 2); MSTN (myostatin); VDR (vitamin D3 receptor); CYP27B1 (cytochrome P450 family 27 subfamily B member 1); SREBF1 (sterol regulatory element binding transcription factor 1); PPARG (peroxisome proliferator-activated receptor gamma). bPrimer direction. F= forward; R= Reverse. cAmplicon Size in base pairs (bp). dNCBI, National Center for Biotechnology Information database (www.ncbi.nlm.nih.gov).

https://doi.org/10.1371/journal.pone.0356262.s003

(DOCX)

S4 Fig. Representative images of muscle fiber cross-sectional area for each treatment group: (A) MON, (B) BEO, and (C) BEO + HyD.

Images were obtained from the Longissimus thoracis muscle using light microscopy. MON = sodium monensin (26 mg/kg DM); BEO = blend of essential oils + exogenous α-amylase (90 and 560 mg/kg DM, respectively); BEO + HyD = blend of essential oils + exogenous α-amylase + 25- hydroxycholecalciferol (90, 560 mg/kg mg/kg DM and 1 mg/animal/day, respectively). Sodium monensin (Rumensin) was from Elanco Animal Health, Indianapolis, IN. The blend of essential oils (CRINA Ruminants), and the exogenous enzymes (α-amylase [RONOZYME RumiStar] and 25- hydroxycholecalciferol (Rovimix Hy-D 1.25%) were provided by DSM Nutritional Products, Basel, Switzerland.

https://doi.org/10.1371/journal.pone.0356262.s004

(TIF)

Acknowledgments

This study is part of the Ph.D. dissertation completed at São Paulo State University (UNESP), Botucatu, in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Animal Science by M. B. Niehues (2023).

References

  1. 1. Millen DD, Pacheco RDL, Arrigoni MDB, Galyean ML, Vasconcelos JT. A snapshot of management practices and nutritional recommendations used by feedlot nutritionists in Brazil. J Anim Sci. 2009;87(10):3427–39. pmid:19574564
  2. 2. Silvestre AM, Millen DD. The 2019 Brazilian survey on nutritional practices provided by feedlot cattle consulting nutritionists. Rev Bras Zootec. 2021;50.
  3. 3. Owens F, SS. Getting the most out of your dry and high-moisture corn. 2007.
  4. 4. Nagaraja TG, Lechtenberg KF. Liver abscesses in feedlot cattle. Vet Clin North Am Food Anim Pract. 2007;23(2):351–69, ix. pmid:17606156
  5. 5. Donius DA, Simpson ME, Marsh PB. Effect of monensin fed with forage on digestion and the ruminal ecosystem of steers. J Anim Sci. 1976;42(1):229–34. pmid:2571
  6. 6. Dennis SM, Nagaraja TG, Bartley EE. Effect of lasalocid or monensin on lactate production from in vitro rumen fermentation of various carbohydrates. J Dairy Sci. 1981;64(12):2350–6. pmid:7341660
  7. 7. Nagaraja TG, Avery TB, Bartley EE, Roof SK, Dayton AD. Effect of lasalocid, monensin or thiopeptin on lactic acidosis in cattle. J Anim Sci. 1982;54(3):649–58. pmid:7085521
  8. 8. Duffield TF, Merrill JK, Bagg RN. Meta-analysis of the effects of monensin in beef cattle on feed efficiency, body weight gain, and dry matter intake. J Anim Sci. 2012;90(12):4583–92. pmid:22859759
  9. 9. Ornaghi MG, Guerrero A, Vital ACP, de Souza KA, Passetti RAC, Mottin C, et al. Improvements in the quality of meat from beef cattle fed natural additives. Meat Sci. 2020;163:108059. pmid:32006811
  10. 10. Ornaghi MG, Passetti RAC, Torrecilhas JA, Mottin C, Vital ACP, Guerrero A, et al. Essential oils in the diet of young bulls: Effect on animal performance, digestibility, temperament, feeding behaviour and carcass characteristics. Animal Feed Science and Technology. 2017;234:274–83.
  11. 11. Souza KA de, Monteschio J de O, Mottin C, Ramos TR, Pinto LA de M, Eiras CE. Effects of diet supplementation with clove and rosemary essential oils and protected oils (eugenol, thymol and vanillin) on animal performance, carcass characteristics, digestibility, and ingestive behavior activities for Nellore heifers finished in feedlot. Livest Sci. 2019;220.
  12. 12. Pukrop JR, Campbell BT, Schoonmaker JP. Effect of essential oils on performance, liver abscesses, carcass characteristics and meat quality in feedlot steers. Animal Feed Science and Technology. 2019;257:114296.
  13. 13. Calsamiglia S, Busquet M, Cardozo PW, Castillejos L, Ferret A. Invited review: Essential oils as modifiers of rumen microbial fermentation. J Dairy Sci. 2007;90(6):2580–95. pmid:17517698
  14. 14. Benchaar C, Calsamiglia S, Chaves AV, Fraser GR, Colombatto D, McAllister TA, et al. A review of plant-derived essential oils in ruminant nutrition and production. Animal Feed Science and Technology. 2008;145(1–4):209–28.
  15. 15. McIntosh FM, Williams P, Losa R, Wallace RJ, Beever DA, Newbold CJ. Effects of essential oils on ruminal microorganisms and their protein metabolism. Appl Environ Microbiol. 2003;69(8):5011–4. pmid:12902303
  16. 16. Tricarico JM, Johnston JD, Dawson KA. Dietary supplementation of ruminant diets with an Aspergillus oryzae α-amylase. Animal Feed Science and Technology. 2008;145(1–4):136–50.
  17. 17. Tricarico JM, Abney MD, Galyean ML, Rivera JD, Hanson KC, McLeod KR, et al. Effects of a dietary Aspergillus oryzae extract containing alpha-amylase activity on performance and carcass characteristics of finishing beef cattle. J Anim Sci. 2007;85(3):802–11. pmid:17121970
  18. 18. DiLorenzo N, Smith DR, Quinn MJ, May ML, Ponce CH, Steinberg W. Effects of grain processing and supplementation with exogenous amylase on nutrient digestibility in feedlot diets. Livest Sci. 2011;137(1–3).
  19. 19. Gencoglu H, Shaver RD, Steinberg W, Ensink J, Ferraretto LF, Bertics SJ, et al. Effect of feeding a reduced-starch diet with or without amylase addition on lactation performance in dairy cows. J Dairy Sci. 2010;93(2):723–32. pmid:20105543
  20. 20. Andreazzi ASR, Pereira MN, Reis RB, Pereira RAN, Morais Júnior NN, Acedo TS, et al. Effect of exogenous amylase on lactation performance of dairy cows fed a high-starch diet. J Dairy Sci. 2018;101(8):7199–207. pmid:29753467
  21. 21. Meschiatti MAP, Gouvêa VN, Pellarin LA, Batalha CDA, Biehl MV, Acedo TS, et al. Feeding the combination of essential oils and exogenous α-amylase increases performance and carcass production of finishing beef cattle. J Anim Sci. 2019;97(1):456–71. pmid:30351389
  22. 22. Toseti LB, Goulart RS, Gouvêa VN, Acedo TS, Vasconcellos GSFM, Pires AV, et al. Effects of a blend of essential oils and exogenous α-amylase in diets containing different roughage sources for finishing beef cattle. Animal Feed Science and Technology. 2020;269:114643.
  23. 23. Gouvêa VN, Meschiatti MAP, Moraes JMM, Batalha CDA, Dórea JRR, Acedo TS. Effects of alternative feed additives and flint maize grain particle size on growth performance, carcass traits and nutrient digestibility of finishing beef cattle. J Agric Sci. 2019;157(5).
  24. 24. Martins TE, Gouvêa VN, Perdigão A, Niehues MB, Martins CL, Millen DD, et al. Effects of supplemental 25-hydroxyvitamin D3 on growth performance, physiological responses, and gene expression of skeletal muscle growth of finishing beef cattle. J Anim Sci. 2025;103:skaf090. pmid:40126005
  25. 25. Carvalho VV, Perdigão A. PSXIV-11 supplementation of 25-hydroxy-vitamin-D3 and increased vitamin E as a strategy to increase carcass weight of feedlot beef cattle. J Anim Sci. 2019;97(Supplement_3).
  26. 26. Estrada-Angulo A, Mendoza-Cortez DA, Ramos-Méndez JL, Arteaga-Wences YJ, Urías-Estrada JD, Castro-Pérez BI. Comparing blend of essential oils plus 25-hydroxy-vit-d3 versus monensin plus virginiamycin combination in finishing feedlot cattle: growth performance, dietary energetics, and carcass traits. Animals. 2022;12(13).
  27. 27. Mendoza-Cortéz DA, Ramos-Méndez JL, Arteaga-Wences Y, Félix-Bernal A, Estrada-Angulo A, Castro-Pérez BI, et al. Influence of a Supplemental Blend of Essential Oils Plus 25-hydroxy-vitamin-D3 on Feedlot Cattle Performance during the Early-growing Phase under Conditions of High-ambient Temperature. IJAR. 2022;(Of).
  28. 28. Latack BC, Carvalho PHV, Zinn RA. The interaction of feeding an eubiotic blend of essential oils plus 25-hydroxy-vit-D3 on performance, carcass characteristics, and dietary energetics of calf-fed Holstein steers. Front Vet Sci. 2022;9:1032532. pmid:36532334
  29. 29. Silva TIS, Souza JM, Acedo TS, Carvalho VV, Perdigão A, Silva LAF, et al. Feedlot performance, rumen and cecum morphometrics of Nellore cattle fed increasing levels of diet starch containing a blend of essential oils and amylase or monensin. Front Vet Sci. 2023;10:1090097. pmid:36950544
  30. 30. Parra FS, Ronchesel JR, Martins CL, Perdigão A, Pereira MCS, Millen DD. Nellore bulls in Brazilian feedlots can be safely adapted to high-concentrate diets using 14-day restriction and step-up protocols. Anim Prod Sci. 2019;59(10):1858–67.
  31. 31. Tedeschi LO, Fox DG. The ruminant nutrition system. Not specified. 2020.
  32. 32. Heinrichs J, Kononoff P. The Penn State Particle Separator. DSE. 2013.
  33. 33. A O A C. Official methods of analysis of AOAC International. Association of Official Analysis Chemists International. 2005.
  34. 34. Mertens DR. Tga-1-tawss.pdf. J Assoc Off Anal Chem Intern. 2002;85:1217–40.
  35. 35. Crossland WL, Cagle CM, Sawyer JE, Callaway TR, Tedeschi LO. Evaluation of active dried yeast in the diets of feedlot steers. II. Effects on rumen pH and liver health of feedlot steers1. J Anim Sci. 2019;97(3):1347–63. pmid:30753501
  36. 36. Rigueiro ALN, Pereira MCS, Silvestre AM, Pinto ACJ, Felizari LD, Dias EFF, et al. Withdrawal of sodium monensin when associated with virginiamycin during adaptation and finishing periods on feedlot performance, feeding behavior, carcass, rumen, and cecum morphometrics characteristics of Nellore cattle. Front Vet Sci. 2023;10:1067434. pmid:36761886
  37. 37. Pereira PRJ. Practical manual of feedstuffs nutritional evaluation. Piracicaba. 1995.
  38. 38. Hendrix DL. Rapid Extraction and Analysis of Nonstructural Carbohydrates in Plant Tissues. Crop Science. 1993;33(6):1306–11.
  39. 39. Silva ACDE. Análise dos alimentos (Métodos químicos e biológicos). 3 ed. MG: Universidade Federal de Viçosa. 1981.
  40. 40. Zinn RA, Barreras A, Corona L, Owens FN, Ware RA. Starch digestion by feedlot cattle: predictions from analysis of feed and fecal starch and nitrogen. J Anim Sci. 2007;85(7):1727–30. pmid:17400968
  41. 41. Perkins TL, Green RD, Hamlin KE. Evaluation of ultrasonic estimates of carcass fat thickness and longissimus muscle area in beef cattle. J Anim Sci. 1992;70(4):1002–10. pmid:1582927
  42. 42. Costa CF, Brichi ALC, Millen DD, Goulart RS, Pereira IC, Estevam DD. Feedlot performance, carcass characteristics and meat quality of Nellore bulls and steers fed Zilpaterol hydrochloride. Livest Sci. 2019;227.
  43. 43. Maresca S, Valiente SL, Rodriguez AM, Testa LM, Long NM, Quintans GI, et al. The influence of protein restriction during mid- to late gestation on beef offspring growth, carcass characteristic and meat quality. Meat Sci. 2019;153:103–8. pmid:30925446
  44. 44. Vesga DA, Rodrigues RC, Ferreira CR, Torrecilhas JA, Carvalho PHV, Rovadoski G, et al. Evaluation of the residual feed intake on carcass and meat quality traits of Nellore bulls: a biochemical and molecular approach. J Anim Sci. 2025;103:skaf148. pmid:40322911
  45. 45. Baldassini WA, Chardulo LAL, Silva JAV, Malheiros JM, Dias VAD, Espigolan R. Meat quality traits of Nellore bulls according to different degrees of backfat thickness: A multivariate approach. Anim Prod Sci. 2017;57(2):363–70.
  46. 46. Gagaoua M, Picard B, Monteils V. Associations among animal, carcass, muscle characteristics, and fresh meat color traits in Charolais cattle. Meat Sci. 2018;140:145–56. pmid:29571048
  47. 47. Hernández Salueña B, Sáenz Gamasa C, Diñeiro Rubial JM, Alberdi Odriozola C. CIELAB color paths during meat shelf life. Meat Sci. 2019;157:107889. pmid:31325669
  48. 48. Wheeler TL, Shackelford SD, Koohmaraie M. Sampling, cooking, and coring effects on Warner-Bratzler shear force values in beef. J Anim Sci. 1996;74(7):1553–62.
  49. 49. Baldassini WA, Rodrigues RC, Magistri MS, Machado Neto OR, Torres RNS, Chardulo LAL. Exploring the Longissimus Muscle: Unraveling its Correlation with Meat Quality in Bos indicus and Crossbred Bulls. J Vis Exp. 2024;2024(209):1–16.
  50. 50. Santiago BM, Baldassini WA, Chiaratti MR, Pandey AK, Torrecilhas JA, Torres RNS. Skeletal muscle gene expression and meat quality of F1 Angus–Nellore young steers and bulls feedlot finished. Livest Sci. 2023;268(December 2022):1–10.
  51. 51. Anderson S. Determination of fat, moisture, and protein in meat and meat products by using the FOSS FoodScan Near-Infrared Spectrophotometer with FOSS Artificial Neural Network Calibration Model and Associated Database: collaborative study. J AOAC Int. 2007;90(4):1073–83. pmid:17760345
  52. 52. Baldassini WA, Ramírez-Zamudio GD, Duarte MS, Ladeira MM, Pereira GL, Machado-Neto OR, et al. Early-life vitamin A supplementation modulates the skeletal muscle transcriptome and intramuscular fat deposition in feedlot-finished beef steers. J Anim Sci. 2025;103:skaf248. pmid:40754836
  53. 53. Association of Official Analysis Chemists International. Official methods of analysis of AOAC International. 2005.
  54. 54. Neves RCF, Moraes PM, Saleh MAD, Loureiro VR, Silva FA, Barros MM, et al. FAAS determination of metal nutrients in fish feed after ultrasound extraction. Food Chemistry. 2009;113(2):679–83.
  55. 55. Moraes PM de, Loureiro VR, Padilha PM, Neves R de CF, Saleh MAD, Santos FA dos, et al. Determinação de fósforo biodisponível em rações de peixes utilizando extração assistida por ultra-som e espectrofotometria no visível. Quím Nova. 2009;32(4):923–7.
  56. 56. Untergasser A, Nijveen H, Rao X, Bisseling T, Geurts R, Leunissen JAM. Primer3Plus, an enhanced web interface to Primer3. Nucleic Acids Res. 2007;35(Web Server issue):W71-4. pmid:17485472
  57. 57. Ye J, Coulouris G, Zaretskaya I, Cutcutache I, Rozen S, Madden TL. Primer-BLAST: a tool to design target-specific primers for polymerase chain reaction. BMC Bioinformatics. 2012;13:134. pmid:22708584
  58. 58. Pfaffl MW. A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res. 2001;29(9):e45. pmid:11328886
  59. 59. Hellemans J, Mortier G, De Paepe A, Speleman F, Vandesompele J. qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data. Genome Biol. 2007;8(2):R19. pmid:17291332
  60. 60. Vandesompele J, De Preter K, Pattyn F, Poppe B, Van Roy N, De Paepe A, et al. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol. 2002;3(7):RESEARCH0034. pmid:12184808
  61. 61. Brink DR, Lowry SR, Stock RA, Parrott JC. Severity of liver abscesses and efficiency of feed utilization of feedlot cattle. J Anim Sci. 1990;68(5):1201–7. pmid:2365638
  62. 62. Bigham ML, McManus WR. Whole wheat grain feeding of lambs. V. Effects of roughage and wheat grain mixtures. Aust J Agric Res. 1975;26(6).
  63. 63. de Resende-Junior JC, Alonso L da S, Pereira MN, Magallanes MGR, Duboc MV, de Oliveira EC. Effect of the feeding pattern on rumen wall morphology of cows and sheep. Brazilian J Vet Res Anim Sci. 2006;43(4).
  64. 64. Daniel JLP, Resende Júnior JC, Cruz FJ. Participação do ruminoretículo e omaso na superfície absortiva total do proventrículo de bovinos. Braz J Vet Res Anim Sci. 2006;43(5):688.
  65. 65. Odongo NE, Alzahal O, Lindinger MI, Duffield TF, Valdes EV, Terrell SP, et al. Effects of mild heat stress and grain challenge on acid-base balance and rumen tissue histology in lambs. J Anim Sci. 2006;84(2):447–55. pmid:16424273
  66. 66. Pereira MCS, Dellaqua JVT, Sousa OA, Santi PF, Felizari LD, Reis BQ. Feedlot performance, feeding behavior, carcass and rumen morphometrics characteristics of Nellore cattle submitted to strategic diets prior the adaptation period. Livest Sci. 2020;234(3):103985.
  67. 67. Devant M, Penner GB, Marti S, Quintana B, Fábregas F, Bach A, et al. Behavior and inflammation of the rumen and cecum in Holstein bulls fed high-concentrate diets with different concentrate presentation forms with or without straw supplementation. J Anim Sci. 2016;94(9):3902–17. pmid:27898891
  68. 68. Rigueiro ALN, Squizatti MM, Silvestre AM, Pinto ACJ, Estevam DD, Felizari LD, et al. The Potential of Shortening the Adaptation of Nellore Cattle to High-Concentrate Diets Using Only Virginiamycin as Sole Feed Additive. Front Vet Sci. 2021;8:692705. pmid:34409088
  69. 69. Meyer NF, Erickson GE, Klopfenstein TJ, Greenquist MA, Luebbe MK, Williams P, et al. Effect of essential oils, tylosin, and monensin on finishing steer performance, carcass characteristics, liver abscesses, ruminal fermentation, and digestibility. J Anim Sci. 2009;87(7):2346–54. pmid:19359504
  70. 70. Silva B de C, Pacheco MVC, Godoi LA, de Souza GAP, Trópia NV, Pucetti P, et al. Feed intake, nutrient digestibility, and selected rumen parameters in feedlot bulls fed diets with different feed additives. PLoS One. 2021;16(11):e0259414. pmid:34727141
  71. 71. DiLorenzo N, Galyean ML. Applying technology with newer feed ingredients in feedlot diets: do the old paradigms apply?. J Anim Sci. 2010;88(13 Suppl):E123-32. pmid:19820060
  72. 72. Zilio EMC, Del Valle TA, Ghizzi LG, Takiya CS, Dias MSS, Nunes AT, et al. Effects of exogenous fibrolytic and amylolytic enzymes on ruminal fermentation and performance of mid-lactation dairy cows. J Dairy Sci. 2019;102(5):4179–89. pmid:30879828
  73. 73. Barker IK. The alimentary system. In: Jubb KVF, editor. Pathology of domestic animals. 4th ed. San Diego: Academic. 1995. p. 2–203.
  74. 74. Li YL, Li C, Beauchemin KA, Yang WZ. Effects of a commercial blend of essential oils and monensin in a high-grain diet containing wheat distillers’ grains on in vitro fermentation. Can J Anim Sci. 2013;93(3).
  75. 75. Costa SF, Pereira MN, Melo LQ, Resende JC, Chaves ML. Alterações morfológicas induzidas por butirato, propionato e lactato sobre a mucosa ruminal e a epiderme de bezerros - I aspectos histológicos. Arq Bras Med Vet e Zootec. 2008;60(1).
  76. 76. Watanabe DHM, Bertoldi GP, Dos Santos AA, da Silva Filho WI, de Oliveira LFR, Pinto ACJ, et al. Growth performance and rumen morphometrics of Nellore and ½ Angus/Nellore feedlot cattle adapted over 9 and 14 days to high-concentrate diets. J Anim Physiol Anim Nutr (Berl). 2022;106(1):12–23. pmid:33788347
  77. 77. Beauchemin KA, Yang WZ, Rode LM. Effects of barley grain processing on the site and extent of digestion of beef feedlot finishing diets. J Anim Sci. 2001;79(7):1925–36. pmid:11465381
  78. 78. Schwartzkopf-Genswein KS, Beauchemin KA, Gibb DJ, Crews DH, Hickman DD, Streeter M. Effect of bunk management on feeding behavior, ruminal acidosis and performance of feedlot cattle: A review. J Anim Sci. 2003;81(14).
  79. 79. Russell JB, Wilson DB. Why are ruminal cellulolytic bacteria unable to digest cellulose at low pH?. J Dairy Sci. 1996;79(8).
  80. 80. Plaizier JC, Krause DO, Gozho GN, McBride BW. Subacute ruminal acidosis in dairy cows: the physiological causes, incidence and consequences. Vet J. 2008;176(1):21–31. pmid:18329918
  81. 81. Penner GB, Beauchemin KA, Mutsvangwa T. Severity of ruminal acidosis in primiparous holstein cows during the periparturient period. J Dairy Sci. 2007;90(1):365–75. pmid:17183105
  82. 82. Benchaar C, Petit HV, Berthiaume R, Whyte TD, Chouinard PY. Effects of addition of essential oils and monensin premix on digestion, ruminal fermentation, milk production, and milk composition in dairy cows. J Dairy Sci. 2006;89(11):4352–64. pmid:17033023
  83. 83. Rocha LC, Assunção AS de A, Martins RA, Carvalho VV de, Perdigão A, Buzalaf MAR. Protein profiles identified by LC-MS/MS demonstrate change in beta oxidation, ketogenesis, and propionate metabolism in rumen epithelium with different additives. Livest Sci. 2023;274.
  84. 84. Dong H, Wang S, Jia Y, Ni Y, Zhang Y, Zhuang S, et al. Long-term effects of subacute ruminal acidosis (SARA) on milk quality and hepatic gene expression in lactating goats fed a high-concentrate diet. PLoS One. 2013;8(12):e82850. pmid:24376594
  85. 85. Chang G, Zhang K, Xu T, Jin D, Guo J, Zhuang S, et al. Epigenetic mechanisms contribute to the expression of immune related genes in the livers of dairy cows fed a high concentrate diet. PLoS One. 2015;10(4):e0123942. pmid:25860644
  86. 86. Guo J, Chang G, Zhang K, Xu L, Jin D, Bilal MS, et al. Rumen-derived lipopolysaccharide provoked inflammatory injury in the liver of dairy cows fed a high-concentrate diet. Oncotarget. 2017;8(29):46769–80. pmid:28596485
  87. 87. Obsen T, Faergeman NJ, Chung S, Martinez K, Gobern S, Loreau O, et al. Trans-10, cis-12 conjugated linoleic acid decreases de novo lipid synthesis in human adipocytes. J Nutr Biochem. 2012;23(6):580–90. pmid:21775116
  88. 88. Teixeira PD, Oliveira DM, Chizzotti ML, Chalfun-Junior A, Coelho TC, Gionbelli M, et al. Subspecies and diet affect the expression of genes involved in lipid metabolism and chemical composition of muscle in beef cattle. Meat Sci. 2017;133:110–8. pmid:28666109
  89. 89. Zhang Q, Koser SL, Bequette BJ, Donkin SS. Effect of propionate on mRNA expression of key genes for gluconeogenesis in liver of dairy cattle. J Dairy Sci. 2015;98(12):8698–709. pmid:26409969
  90. 90. Lu Z, Xu Z, Shen Z, Shen H, Aschenbach JR. Transcriptomic analyses suggest a dominant role of insulin in the coordinated control of energy metabolism and ureagenesis in goat liver. BMC Genomics. 2019;20(1):854. pmid:31726987
  91. 91. Vignale K, Greene ES, Caldas JV, England JA, Boonsinchai N, Sodsee P, et al. 25-Hydroxycholecalciferol Enhances Male Broiler Breast Meat Yield through the mTOR Pathway. J Nutr. 2015;145(5):855–63. pmid:25788584
  92. 92. Hutton KC, Vaughn MA, Litta G, Turner BJ, Starkey JD. Effect of vitamin D status improvement with 25-hydroxycholecalciferol on skeletal muscle growth characteristics and satellite cell activity in broiler chickens. J Anim Sci. 2014;92(8):3291–9. pmid:24894000
  93. 93. Montgomery JL, Blanton JR, Horst RL, Galyean ML, Morrow KJ, Wester DB. Effects of biological type of beef steers on vitamin D, calcium, and phosphorus status. J Anim Sci. 2004;82(7):2043.
  94. 94. Mudado FS, Silveira MB, Fernandes HJ, Perdigão A, dos Santos DMM, da Silva THR, et al. Supplementation with 25-hydroxicolecalciferol increases the nutritional efficiency and carcass growth of grazing Nellore young bulls. Animal Feed Science and Technology. 2024;318:116138.
  95. 95. Wertz AE, Knight TJ, Trenkle A, Sonon R, Horst RL, Huff-Lonergan EJ, et al. Feeding 25-hydroxyvitamin D3 to improve beef tenderness. J Anim Sci. 2004;82(5):1410–8. pmid:15144081
  96. 96. Foote MR, Horst RL, Huff-Lonergan EJ, Trenkle AH, Parrish FC Jr, Beitz DC. The use of vitamin D3 and its metabolites to improve beef tenderness. J Anim Sci. 2004;82(1):242–9. pmid:14753368
  97. 97. Lawrence RW, Doyle J, Elliott R, Loxton I, McMeniman JP, Norton BW, et al. The efficacy of a vitamin D(3) metabolite for improving the myofibrillar tenderness of meat from Bos indicus cattle. Meat Sci. 2006;72(1):69–78. pmid:22061376
  98. 98. Wierzbicka A. Beef tenderness improvement by dietary vitamin D 3 supplementation in the last stage of fattening of cattle. 2017;:59–67.
  99. 99. Abularach MLS, Rocha CE, Felício PE de. Características de qualidade do contrafilé (M. longissimus dorsi) de touros jovens da raça Nelore. Ciênc Tecnol Aliment. 1998;18(2):205–10.
  100. 100. Rivaroli DC, Guerrero A, Velandia Valero M, Zawadzki F, Eiras CE, Campo MDM, et al. Effect of essential oils on meat and fat qualities of crossbred young bulls finished in feedlots. Meat Sci. 2016;121:278–84. pmid:27388818
  101. 101. de Oliveira Monteschio J, de Souza KA, Vital ACP, Guerrero A, Valero MV, Kempinski EMBC, et al. Clove and rosemary essential oils and encapsuled active principles (eugenol, thymol and vanillin blend) on meat quality of feedlot-finished heifers. Meat Sci. 2017;130:50–7. pmid:28431295