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Ruminants, Volume 4, Issue 3 (September 2024) – 12 articles

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15 pages, 321 KiB  
Article
Rumen Degradation of Endosperm and Mesocarp Expellers from Acrocomia aculeata (Jacq.) Lodd. ex Mart. in Sheep Grazing Either Natural Pastures or Brachiaria brizantha cv. Marandu
by Winston E. Stanley, Óscar L. Valiente and Antonio de Vega
Ruminants 2024, 4(3), 448-462; https://doi.org/10.3390/ruminants4030032 - 10 Sep 2024
Viewed by 756
Abstract
Twenty-four ewes (eight fistulated in the rumen) were assigned to a 2 × 2 factorial design. The treatments included the pasture grazed (natural mixed swards—NMS or cultivated monophytic (Brachiaria brizantha cv. Marandu) swards—CMS) and the level of supplementation: without supplement or with [...] Read more.
Twenty-four ewes (eight fistulated in the rumen) were assigned to a 2 × 2 factorial design. The treatments included the pasture grazed (natural mixed swards—NMS or cultivated monophytic (Brachiaria brizantha cv. Marandu) swards—CMS) and the level of supplementation: without supplement or with a 1% supplement (dry matter (DM)/live weight). The supplement included one-third endosperm expeller (ENE) and two-thirds mesocarp expeller (ME) from Acrocomia aculeata (Jacq.) Lodd. ex Mart. In sacco rumen degradation of ENE, ME, NMS, and CMS was assessed in fistulated sheep, as were rumen fermentation variables. Average daily gain (ADG) was assessed in non-fistulated animals during a 7-week period. Potential degradability of the DM and crude protein of the expellers was not affected by the type of pasture grazed or the level of supplementation (p > 0.05), but the fractional rate of degradation (c) of DM was three times faster (p < 0.01) for ME than for ENE. The potential degradability of neutral detergent fiber was 34% higher (p < 0.0001) for ENE, with no differences in c (p > 0.1). Supplementation slowed down the c of the DM of the pastures, especially in animals grazing NMS (24% lower). Treatments affected rumen pH, concentration of volatile fatty acids, and proportion of valerate, in different ways. The use of the supplement increased ADG of sheep (six-fold in sheep grazing NMS and 40% in those grazing CMS). The use of a mixture of one-third ENE plus two-thirds ME as a protein supplement in sheep grazing either multi-species natural pastures or monophytic swards of Brachiaria brizantha cv. Marandu slows down the fractional rate of degradation of the pastures, the effect of which is more intense in animals grazing natural swards. This supplementation also increases average daily gain, more substantially with multi-species natural pastures. Full article
15 pages, 851 KiB  
Article
Changes in the Fatty Acid Composition of Vegetable Oils Affect the Feeding Behavior, Feed Preference, and Thermoregulatory Responses of Sheep
by Évyla Layssa G. Andrade, José M. Pereira Filho, Kevily Henrique de O. S. de Lucena, Yuri C. S. Barreto, Ronaldo L. Oliveira, Bonifácio B. de Sousa, Antônio Fernando de M. Vaz, Juliana Paula F. de Oliveira, Mozart A. Fonseca and Leilson R. Bezerra
Ruminants 2024, 4(3), 433-447; https://doi.org/10.3390/ruminants4030031 - 7 Sep 2024
Viewed by 1158
Abstract
This research evaluated the effects of energy supplementation on sheep’s feeding behavior, feed preference, and thermoregulatory responses using technical cashew nutshell liquid (CNSL) and different vegetable oils with different unsaturated fatty acid (UFA) compositions. The experiment was completely randomized with five treatments: a [...] Read more.
This research evaluated the effects of energy supplementation on sheep’s feeding behavior, feed preference, and thermoregulatory responses using technical cashew nutshell liquid (CNSL) and different vegetable oils with different unsaturated fatty acid (UFA) compositions. The experiment was completely randomized with five treatments: a mixture of CNSL (0.5%) + vegetable oils [canola (high in monounsaturated fatty acids—MUFA), and corn, soybean, sunflower, or cottonseed oil (high in polyunsaturated fatty acids-PUFA) at 1.5%] based on total diet dry matter, with eight replications. Forty uncastrated male sheep, with an average initial BW of 24.44 ± 1.5 kg, were evaluated for 70 days. The CNSL + vegetable oil blend did not affect DM and neutral detergent fiber (aNDF) intake (p > 0.05). However, diets with canola oil resulted in higher SFA intake (p < 0.05) than other oils. The canola oil + CNSL blend led to a higher intake of UFA and MUFA and lower PUFA intake than other oil blends (p < 0.05). Sheep fed canola oil ruminated fewer boli per day than those fed soybean and sunflower oils. Using three sieves (pef1.18) reflected in higher sheep aNDF intake. Respiratory frequency and surface temperature of sheep were lower before feeding than 3 h after, without effects of the type of oil. Higher serum creatinine and cholesterol levels were observed in sheep fed CNSL with corn and canola oils compared to other oils. Serum calcium was lower in sheep fed CNSL with soybean and canola compared to sunflower and corn. Including CNSL with vegetable oils with different FA compositions did not affect physiological and thermographic variables. However, sheep showed better diet selectivity and lower bolus rumination with higher MUFA (canola oil) content. Including CNSL with canola oil in sheep diets is recommended, as it increases dietary energy content, enhances diet selectivity, reduces PUFA intake, and does not impact animal health. Full article
(This article belongs to the Special Issue Feature Papers of Ruminants 2024–2025)
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<p>Averages of meteorological data: environmental temperature (AT), relative humidity (RH), black globe temperature in the sun (BGTsun), black globe temperature in the shade (BGTshade), black globe temperature and humidity index in the sun (BTGHsun) and in the shade (BTGHshade), before (0 h or at feeding moment) and 3 h after the feeding. (SEM = 7.86).</p>
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<p>Thermographic variables (maximum, minimum, and medium surface temperatures) selected in the left flank region of the sheep fed diets containing mixtures of 0.5% of cashew nut shell liquid (of total DM) and 1.5% of soybean (<b>a</b>), cottonseed (<b>b</b>), sunflower (<b>c</b>), corn (<b>d</b>), or (<b>e</b>) canola oil (of total DM).</p>
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15 pages, 2506 KiB  
Article
Effect of Iodoform in Maize and Clover Grass Silages: An In Vitro Study
by Selene Massaro, Britt Jantzen, Anne Marie Dixen Axel, Franco Tagliapietra and Hanne Helene Hansen
Ruminants 2024, 4(3), 418-432; https://doi.org/10.3390/ruminants4030030 - 30 Aug 2024
Viewed by 611
Abstract
Iodoform has been shown to be an enteric methane-reducing agent. This study aimed to investigate if iodoform differentially affected maize (MS) and clover grass silage (GS). These substrates were used in four 22 h in vitro gas production fermentations with and without 0.032 [...] Read more.
Iodoform has been shown to be an enteric methane-reducing agent. This study aimed to investigate if iodoform differentially affected maize (MS) and clover grass silage (GS). These substrates were used in four 22 h in vitro gas production fermentations with and without 0.032 mg/g of dry matter substrate of 0.064% iodoform in zeolite (IZ). The results of organic matter degradation (dOM, g/g), volatile fatty acids (VFAs, mMol/L), partitioning factor (PF, mg/mL), total gas production (TGP, mL/g OM), and periodic hydrogen and methane yield (mL/g OM) were evaluated. The interaction between substrate and IZ for dOM was significant with significantly less in GS. The interaction between substrate and additive was continuously significant for TGP. The additive in GS numerically decreased the TGP, but significantly increased TGP in MS. The interaction between substrate and additive was sporadically significant with methane, increasing the yield when IZ was added to MS, but a consistent, non-significant, decrease in yield was found when IZ was added to GS. Total VFA production and propionate content increased in both substrates with the addition of IZ, but only significantly in GS. Iodoform significantly decreased the efficiency of microbial conversion (PF) in both substates. Differential effects of iodoform on GS and MS were evident. More research is needed to determine the modes of action of iodoform. Full article
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<p>Cumulative total gas production (TGP, mL/g OM) of in vitro fermentation of maize and grass silage with and without iodoform. GS: grass silage; MS: maize silage; GS + IZ: grass silage with 0.032 mg/g of dry matter substrate of 0.064% iodoform in zeolite; MS + IZ: maize silage with 0.032 mg/g of dry matter substrate of 0.064% iodoform in zeolite. The perpendicular bars report the standard error.</p>
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<p>Methane yield (mL/g OM) from in vitro fermentations with and without iodoform (IZ): (<b>A</b>) grass silage; (<b>B</b>) maize silage. GS: grass silage; MS: maize silage; GS + IZ: grass silage with 0.032 mg/g of dry matter substrate of 0.064% iodoform in zeolite; MS + IZ: maize silage with 0.032 mg/g of dry matter substrate of 0.064% iodoform in zeolite; hrs: hours.</p>
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<p>Hydrogen yield (mL/g OM) from in vitro fermentations with and without iodoform (IZ): (<b>A</b>) grass silage; (<b>B</b>) maize silage. GS: grass silage; MS: maize silage; GS + IZ: grass silage with 0.032 mg/g of dry matter substrate of 0.064% iodoform in zeolite; MS + IZ: maize silage with 0.032 mg/g of dry matter substrate of 0.064% iodoform in zeolite; hrs: hours.</p>
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12 pages, 470 KiB  
Article
Effects of Caffeine Doses on Rumen Fermentation Profile and Nutrient Digestibility Using a Lactating Cow Diet under Continuous Cultures Conditions
by Mónica Toledo, Saad M. Hussein, Manuel Peña, Matias J. Aguerre, William Bridges and Gustavo J. Lascano
Ruminants 2024, 4(3), 406-417; https://doi.org/10.3390/ruminants4030029 - 13 Aug 2024
Viewed by 857
Abstract
Caffeine is a plant secondary metabolite, commonly known for its bioactivity properties. This molecule increases microbial activity during anaerobic digestion. The aim of this study was to determine the effects of caffeine doses on the rumen fermentation profile and nutrient digestibility when continuous [...] Read more.
Caffeine is a plant secondary metabolite, commonly known for its bioactivity properties. This molecule increases microbial activity during anaerobic digestion. The aim of this study was to determine the effects of caffeine doses on the rumen fermentation profile and nutrient digestibility when continuous culture fermenters were fed a lactating cow’s diet. We hypothesize that adding caffeine doses into continuous culture fermenters with a rumen fluid inoculum will not affect anaerobic fermentation or nutrient utilization. Fermenters were fed twice a day (at 0800 and 2000 h) with an experimental diet of high-producing dairy cows (53.55 g/DM day; Forage:Concentrate ratio, F:C of 40:60). Four levels of caffeine (0 ppm, 50 ppm, 100 ppm, and 150 ppm) were added to the diets as a treatment. The experiment was arranged in a randomized complete block design. Two blocks of four fermenters were run in two replicated periods of ten days. Statistical analyses were conducted in SAS version 9.4 for Windows (SAS Institute Inc., Cary, NC, USA) using the GLIMMIX procedure. The addition of caffeine at a 50 ppm dose on continuous culture fermentation decreased the protozoal counts (Diplodinium spp.) (p = 0.03) and ammonia concentrations (p < 0.05). A treatment of 50 ppm of caffeine increased the DM, OM, and starch digestibility (p < 0.05). When caffeine doses increased further than 50 ppm, the OM, DM, and starch digestibility decreased linearly (p = 0.01). The total volatile fatty acids and fatty acid proportions were unaffected. However, the acetate-to-propionate ratio (A:P) tended to decrease linearly among treatments (p = 0.07). The means of pH measurements and maximum pH had a significantly linear decrease effect (p < 0.01). Caffeine may represent a potential rumen fermentation modifier for use in lactating cow diets. Full article
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<p>(<b>A</b>) Postprandial acetate:propionate ratio concentration on continuous culture fermenters in response to caffeine doses (0, 50, 100, and 150 ppm; linear <span class="html-italic">p</span>-value 0.07). (<b>B</b>) Treatment pairwise differences of LS means for postprandial acetate:propionate ratio. 95% confidence intervals of mean difference (caffeine concentrations 0, 50, 100, and 150 ppm are labeled C, T1, T2, and T3, respectively).</p>
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19 pages, 956 KiB  
Article
Feed Restriction in Angus Steers Impacts Ruminal Bacteria, Its Metabolites, and Causes Epithelial Inflammation
by Qianming Jiang, Matheus Castilho Galvão, Abdulrahman S. Alharthi, Ibrahim A. Alhidary, Mateus P. Gionbelli, Joshua C. McCann and Juan J. Loor
Ruminants 2024, 4(3), 387-405; https://doi.org/10.3390/ruminants4030028 - 3 Aug 2024
Viewed by 965
Abstract
We identified alterations in the ruminal microbiome, metabolome, and epithelial inflammatory response due to moderate feed restriction (FR). Ruminal digesta and epithelial biopsies from seven ruminally cannulated Angus steers were initially collected during ad libitum access to feed (PRE). After a 10 day [...] Read more.
We identified alterations in the ruminal microbiome, metabolome, and epithelial inflammatory response due to moderate feed restriction (FR). Ruminal digesta and epithelial biopsies from seven ruminally cannulated Angus steers were initially collected during ad libitum access to feed (PRE). After a 10 day recovery, steers underwent a 3-day FR period (FRP) at 25% intake of PRE followed by a 15 day recovery (POST) phase with ad libitum access to feed. At the end of FRP and POST, ruminal digesta and epithelial biopsies were collected again for microbial DNA and tissue RNA extraction. RT-qPCR was applied for relative microbial abundance and RNA extraction. Metabolite profiling of digesta was performed via GC-MS. The abundance of Succinivibrio dextrinosolvens, Streptococcus bovis, and Bifidobacteria spp. (N124) was higher (p < 0.05) during FRP than PRE and POST, while Lactobacillus spp. (C25), Escherichia coli (EC42405), Fibrobacter succinogenes, and Megaspheara elsdenii abundances were lower in FRP than PRE (p < 0.05). The TNF and TLR2 mRNA abundance was greater in FRP than PRE (p < 0.05). Among 15 detected amino acids, glutamine, isoleucine, lysine, phenylalanine, threonine, and valine were lower (p < 0.05) in FRP than PRE. Metabolite pathway analysis revealed alterations in amino acid, fatty acid, vitamin, and energy metabolism during FRP (p < 0.05). The mRNA of the proinflammatory genes TNF and TLR2 in the epithelium peaked (p < 0.05) at FRP and remained higher at POST. Results indicated that a short FR influenced ruminal bacteria, reduced concentrations of most metabolites, and triggered an inflammatory response. Full article
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<p>Relative universal 1 and 2 16S rRNA copies per µL of ruminal digesta from beef steers (<span class="html-italic">n</span> = 7) before (PRE) and during a 3-day feed-restriction period (FRP) at 25% intake of PRE and after a 15-day recovery (POST). <sup>a,b</sup> Means differ (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>mRNA abundance (relative units) of the proinflammatory genes tumor necrosis factor (<span class="html-italic">TNF</span>) and toll-like receptor 2 (<span class="html-italic">TLR2</span>) in ruminal epithelium from beef steers during a pre-feed-restriction period (PRE), a 3-day 25% feed-restriction period (FRP), and a post-feed-restriction period (POST) (<span class="html-italic">n</span> = 7). <sup>a,b</sup> Means differ (<span class="html-italic">p</span> ≤ 0.05).</p>
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12 pages, 1492 KiB  
Article
Impact of Lameness on Brush Use in a Loose-Housed Dairy System
by Yuri Ian Burton and Nicola Blackie
Ruminants 2024, 4(3), 375-386; https://doi.org/10.3390/ruminants4030027 - 2 Aug 2024
Viewed by 1094
Abstract
This study focused on a group of 49 high-yielding dairy cows (primarily Holstein Friesians) and how their interactions with wall-mounted automated brushes correlated to their mobility (also described as lameness) score (AHDB 0–3 system. Of the 49 animals in the study, 48 were [...] Read more.
This study focused on a group of 49 high-yielding dairy cows (primarily Holstein Friesians) and how their interactions with wall-mounted automated brushes correlated to their mobility (also described as lameness) score (AHDB 0–3 system. Of the 49 animals in the study, 48 were mobility scored with a sample lameness prevalence of 14.6% (n = 22 score 0, n = 19 score 1, n = 6 score 2 and n = 1 score 3 (score 2 and 3 combined due to low numbers identified)). There was no statistical difference in the number of visits between the lame (score 2 and 3) and sound cows (score 0 and 1); however, there was a statistically relevant decrease in the duration that the lame cows spent brushing per visit (sound 91.7 ± 6.06 s compared to lame 63.0 ± 9.22 s, p = 0.0097). No significant difference was identified in how the lame cows interacted with the brushes (i.e., which body part) when compared to the group. The group, in general, showed a significant preference towards interacting with the brush with their head area (63.95% of interactions observed over the 72 h involved the head). In conclusion, monitoring brush use (duration of use per visit) could aid with the identification of clinically lame animals. Full article
(This article belongs to the Special Issue Dairy Cow Husbandry, Behaviour and Welfare)
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<p>Loose-housing layout and brush position on the study farm. Included are the positions of the “Happy cow brush” mechanical brushes (numbered 1, 2 and 3). Brush 1 and 3 were inoperable at the time of investigation and therefore acted as static angled round brushes. Brush 2 was in full working order and would rotate when the cows interacted with it.</p>
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<p>Cows were divided into eight areas to record the interaction with the brush. (Image adapted from Leon von Salisch, CC BY-SA 4.0 &lt;<a href="https://creativecommons.org/licenses/by-sa/4.0" target="_blank">https://creativecommons.org/licenses/by-sa/4.0</a>&gt;, via Wikimedia Commons accessed on 2 July 2024).</p>
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<p>Breakdown of how the cows interacted with the brush(es). (Image adapted from Leon von Salisch, CC BY-SA 4.0 &lt;<a href="https://creativecommons.org/licenses/by-sa/4.0" target="_blank">https://creativecommons.org/licenses/by-sa/4.0</a>&gt;, via Wikimedia Commons, assessed 2 July 2024).</p>
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<p>Total time spent brushing per individual (n = 48) separated by the lameness score (sound cows (n = 41) have an AHDB score of 0 or 1, lame cows (n = 7) have an AHDB score of 2 or 3 based on data from 22 February 2023).</p>
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<p>Number of individual interactions (per individual) against lameness status (based on an AHDB scoring on 22 February 2023).</p>
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13 pages, 1464 KiB  
Article
Effect of Dietary Hempseed Meal on Growth Performance, Feed Efficiency and Blood Parameters in Yearling Rough Stock Bulls
by Samantha L. McGovern, Jeff A. Brady, Cheyenne L. Runyan, Thomas W. Schwertner, Kimberly A. Guay, Lane A. Smith, Ryon W. Springer and Kimberly B. Wellmann
Ruminants 2024, 4(3), 362-374; https://doi.org/10.3390/ruminants4030026 - 1 Aug 2024
Viewed by 1435
Abstract
Yearling rough-stock bulls (n = 38) were utilized in a randomized complete block design to evaluate dietary hempseed meal (HSM) inclusion on growth (ADG), intake (DMI), and efficiency (F:G). Bulls were blocked by body weight (BW), grouped into 10 pens (n [...] Read more.
Yearling rough-stock bulls (n = 38) were utilized in a randomized complete block design to evaluate dietary hempseed meal (HSM) inclusion on growth (ADG), intake (DMI), and efficiency (F:G). Bulls were blocked by body weight (BW), grouped into 10 pens (n = 3–4 bulls/pen), and randomly assigned to an HSM or control supplement treatment (CON; 72.5% cottonseed meal, 14.5% soy hulls, 13% fat). Treatments were offered at 10%, while 90% was fed as a mixed ration [50% Bermuda grass hay, 40% textured commercial feed (10% CP)]. Diet samples were dried and DMI was calculated. F:G was evaluated using DMI and ADG. Blood for plasma analysis and BW were obtained on sample days, prior to feed delivery. Data were analyzed using the GLIMMIX procedure in SAS version 9.4. The results were considered significant when p ≤ 0.050. There was no treatment × time interaction, or treatment effect for interim BW, ADG, or F:G (p ≥ 0.100). A treatment × time interaction occurred for DMI (p < 0.01), and BW (p = 0.01) increased in all bulls over time, while ADG decreased (p = 0.005), suggesting that interim live performance was not affected by HSM. Plasma urea nitrogen increased over time (p < 0.001) in all bulls, with greater concentrations observed in HSM bulls (p = 0.043). Full article
(This article belongs to the Special Issue Nutrients and Feed Additives in Ruminants)
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<p>Dry matter intake (DMI) per day of control (CON) and hempseed meal (HSM) diets. The <span class="html-italic">x</span>-axis describes days on feed, and the <span class="html-italic">y</span>-axis describes DMI/kg. The purple line depicts CON, while the green line depicts HSM. There was a treatment × time interaction observed regarding daily DMI, where HSM bulls maintained an elevated DMI throughout this study, while CON DMI increased gradually over time (<span class="html-italic">p</span> &lt; 0.001). Asterisks (*) above the bars indicate significant differences (<span class="html-italic">p</span> ≤ 0.050).</p>
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<p>Average plasma urea nitrogen (PUN) concentrations. The <span class="html-italic">y</span>-axis represents the average PUN concentration in mg/dL. Sample d0, d21, d42, and d63 are on the <span class="html-italic">x</span>-axis. Depicted in this figure is a day effect in which average PUN concentrations increased over time, from d0 to d63 (<span class="html-italic">p</span> &lt; 0.001). Treatments, CON and HSM, are represented by the purple and green lines, respectively. Depicted in this figure is a treatment effect in which average PUN concentrations were greater in the bulls offered the HSM supplement, compared to the bulls offered the CON supplement (<span class="html-italic">p</span> = 0.043). Asterisks (*) above the bars indicate significant differences (<span class="html-italic">p</span> ≤ 0.050).</p>
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<p>Potassium (K) levels per sample day for the bulls on the CON and HSM diets. On the <span class="html-italic">x</span>-axis are sample days (d0, d21, d42, and d63), and on the <span class="html-italic">y</span>-axis are the average K levels in mmol/L. The purple line depicts the CON treatment, and the green line depicts the HSM treatment. There was a treatment × time effect observed for K, where levels started out different between the two treatments during the first interim period (d0–d21), and as the trial progressed, bulls ended with similar K levels despite the diets (<span class="html-italic">p</span> &lt; 0.001). Asterisks (*) above the bars indicate significant differences (<span class="html-italic">p</span> ≤ 0.050).</p>
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<p>Average globulin (GLOB) concentrations over time. The <span class="html-italic">y</span>-axis represents the average GLOB concentrations in g/dL. Sample days (d0, d21, d42 and d63) are on the <span class="html-italic">x</span>-axis. Treatments, CON and HSM, are represented by purple and green lines, respectively. Depicted here is a day effect in which average GLOB concentrations increased over time, from d0 to d63 (<span class="html-italic">p</span> = 0.030). A treatment effect in which average GLOB concentrations were greater in the bulls offered the HSM supplement, compared to those offered the CON supplement (<span class="html-italic">p</span> = 0.025) is also displayed. Asterisks (*) above the bars indicate significant differences (<span class="html-italic">p</span> ≤ 0.050).</p>
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<p>Average total protein concentrations over time. The <span class="html-italic">y</span>-axis represents the average total protein concentrations in g/dL. Sample days (d0, d21, d42, and d63) are on the <span class="html-italic">x</span>-axis. Treatments, CON and HSM, are represented by purple and green lines, respectively. Depicted here is a treatment by time interaction for total protein, where treatments differed on d 21 and 42 (<span class="html-italic">p</span> = 0.027). Asterisks (*) above the bars indicate significant differences (<span class="html-italic">p</span> ≤ 0.050).</p>
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10 pages, 668 KiB  
Article
Potential of Combined Yeast Culture and Enzymatically Hydrolysed Yeast to Improve In Vitro Dry Matter and Nutrient Degradability of Different Feedstuffs
by Alisha A. Sookrali and Martin P. Hughes
Ruminants 2024, 4(3), 352-361; https://doi.org/10.3390/ruminants4030025 - 29 Jul 2024
Viewed by 996
Abstract
Live yeast cultures have been a popular additive in ruminant feeds to improve fermentation efficiency, rumen, and intestinal health. However, very little is known about inactive yeast culture and hydrolysable yeast cells on nutrient digestibility in ruminants. Therefore, this study was conducted to [...] Read more.
Live yeast cultures have been a popular additive in ruminant feeds to improve fermentation efficiency, rumen, and intestinal health. However, very little is known about inactive yeast culture and hydrolysable yeast cells on nutrient digestibility in ruminants. Therefore, this study was conducted to determine the effects of a combined yeast culture and enzymatically hydrolysed yeast (YC+EHY) on in vitro dry matter and nutrient digestibility. Seven chemically contrasting substrates, including the leaves and petiole of forage plants (Trichanthera gigantea, Gliricidia sepium, Leucaena leucocephala, and Brachiaria arrecta), agriculture by-products (soybean meal and rice hulls), and a commercial concentrate feed, were incubated in vitro with and without YC+EHY to determine dry matter (DM), crude protein (CP), neutral detergent fibre (NDF), and acid detergent fibre (ADF) digestibility after 24 and 48 h of incubation. A second experiment evaluated in vitro CP degradability by incubating substrates for 0, 2, 4, 8, 16, 24, and 48 h with and without YC+EHY. Incubation with YC+EHY reduced 24 h DM and CP digestibility in soybean meal and G. sepium by 16.2% and 38.5%, respectively. Conversely, the ADF digestibility of B. arrecta incubated with YC+EHY increased by 32%. In vitro ruminal DM and nutrient digestibility were unaffected by YC+EHY after 48 h of incubation. The rate of CP degradability in the commercial concentrate and rice hull inoculated with YC+EHY increased sharply between 16 and 24 h post-incubation and generally plateaued afterwards. Similarly, YC+EHY significantly increased CP degradability in L. leucocephala after 8 and 16 h of incubation. The 16 h CP degradation in T. gigantea without YC+EHY was significantly higher. It was therefore concluded that YC+EHY has potential to improve ruminal ADF digestibility and modify ruminal CP degradation dependent on the type of substrate. Full article
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<p>In vitro ruminal CP degradability substrates incubated with and without YC+EHY. <sup>a,b</sup> CP degradability at specific incubation times that do not share a letter is significantly different (<span class="html-italic">p</span> &lt; 0.05).</p>
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23 pages, 2112 KiB  
Article
Metabolomic Profiling, Volatile Fatty Acids, and Greenhouse Gas Emissions of Beef Cattle Infused with Different Essential Oil Blends
by Deborah O. Okedoyin, Joel O. Alabi, Chika C. Anotaenwere, Michael Wuaku, DeAndrea Gray, Oludotun O. Adelusi, Kelechi A. Ike, Peter A. Dele, Olatunde A. Oderinwale, Modoluwamu D. Idowu, Ibukun M. Ogunade and Uchenna Y. Anele
Ruminants 2024, 4(3), 329-351; https://doi.org/10.3390/ruminants4030024 - 23 Jul 2024
Viewed by 1037
Abstract
Essential oils are natural feed additives that improve animal health and enhance their performance. This study investigated the effects of the rumen infusion of five essential oil blends (EOBs) on greenhouse gas (GHG) emissions, rumen fermentation parameters, and rumen metabolome and metabolic pathways [...] Read more.
Essential oils are natural feed additives that improve animal health and enhance their performance. This study investigated the effects of the rumen infusion of five essential oil blends (EOBs) on greenhouse gas (GHG) emissions, rumen fermentation parameters, and rumen metabolome and metabolic pathways in Black Angus cows. Using a 6 × 6 Latin Square experimental design, a 90-day study was conducted with six cattle. A daily dosage of 4 mL of EOBs was administered during each infusion. Volcano plot analyses between the control (CON) and each of the EOBs (EOB1, EOB2, EOB3, EOB4, and EOB5) revealed several differentially abundant (p ≤ 0.05; absolute fold change ≥1.5) metabolites. The EOB5 treatment exhibited the most significant impact, with 26 differentially abundant metabolites, including elevated valine and reduced gallic acid. Volatile fatty acids (VFAs), including valerate, isobutyrate, and isovalerate, were significantly increased (p < 0.05). GHG emissions were not significantly affected, but a numerical decrease was observed in the animals infused with the EOB5 treatment. Ammonia nitrogen concentrations remained within the suitable range for rumen microbes’ growth, indicating a normal internal environment for microbial crude protein synthesis. In conclusion, the study has demonstrated that the direct infusion of EOBs significantly improved the generation of VFAs and impacted the energy production, protein synthesis, and microbial activity of the animals. Full article
(This article belongs to the Special Issue Beef Cattle Production and Management)
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<p>Volcano plot ((<b>A</b>) CON and EOB1; (<b>B</b>) CON and EOB2; (<b>C</b>) CON and EOB3; (<b>D</b>) CON and EOB4; (<b>E</b>) CON and EOB5) showing the number of the differentially abundant metabolites between the EOBs and CON (<span class="html-italic">p</span> ≤ 0.05, FC &gt; 1.5). Metabolites with a false discovery ratio of ≤0.05 (red or blue) are differentially increased (red dot) or reduced (blue dots) in the EOB groups relative to the CON group.</p>
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<p>Pathway enrichment analysis ((<b>A</b>) CON and EOB1; (<b>B</b>) CON and EOB2; (<b>C</b>) CON and EOB3; (<b>D</b>) CON and EOB4; (<b>E</b>) CON and EOB5) of the metabolome between the EOB groups and control group. Pathways with −log10(P) ≥ 1.3 (equivalent to <span class="html-italic">p</span> ≥ 0.05) were altered.</p>
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<p>Pathway enrichment analysis ((<b>A</b>) CON and EOB1; (<b>B</b>) CON and EOB2; (<b>C</b>) CON and EOB3; (<b>D</b>) CON and EOB4; (<b>E</b>) CON and EOB5) of the metabolome between the EOB groups and control group. Pathways with −log10(P) ≥ 1.3 (equivalent to <span class="html-italic">p</span> ≥ 0.05) were altered.</p>
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<p>Volcano plot between (<b>A</b>) EOB4 vs. EOB3, (<b>B</b>) EOB5 vs. EOB3, and (<b>C</b>) EOB5 vs. EOB4 showing the number of the differentially abundant metabolites between the EOB4 group and EOB3 group (<span class="html-italic">p</span> ≤ 0.05, FC &gt; 1.5). Metabolites with a false discovery ratio of ≤0.05 (red or blue) are differentially increased (red dot) or reduced (blue dots) in the EOB groups.</p>
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<p>Pathway enrichment analysis of the metabolome between EOB groups ((<b>A</b>) EOB4 vs. EOB3; (<b>B</b>) EOB5 vs. EOB3; (<b>C</b>) EOB5 vs. EOB4). Pathways with −log10(P) ≥ 1.3 (equivalent to <span class="html-italic">p</span> ≥ 0.05) were altered.</p>
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13 pages, 275 KiB  
Article
The Effects of Breed, Lactation Number, and Lameness on the Behavior, Production, and Reproduction of Lactating Dairy Cows in Central Texas
by Lily A. Martin, Edward C. Webb, Cheyenne L. Runyan, Jennifer A. Spencer, Barbara W. Jones and Kimberly B. Wellmann
Ruminants 2024, 4(3), 316-328; https://doi.org/10.3390/ruminants4030023 - 12 Jul 2024
Viewed by 2049
Abstract
The objective of this study was to evaluate the effects of breed, lactation number, and lameness on lying time, milk yield, milk urea nitrogen concentration (MUN), progesterone concentration (P4), and the calving-to-conception interval (CCI) of lactating dairy cows in Central Texas. [...] Read more.
The objective of this study was to evaluate the effects of breed, lactation number, and lameness on lying time, milk yield, milk urea nitrogen concentration (MUN), progesterone concentration (P4), and the calving-to-conception interval (CCI) of lactating dairy cows in Central Texas. A total of 84 lactating dairy cows (Holsteins, Jerseys, and crossbreeds) from a commercial dairy farm in Central Texas were randomly selected and enrolled in this study from October 2023 to February 2024. Cows (60 ± 7 DIM) were enrolled in cohorts weekly for five weeks and were randomly fitted with an IceQube pedometer (IceRobotics, Edinburgh, UK) to track lying time. Lameness and body condition scores (BCS) were recorded, and blood samples were collected once a week. Parameters of reproductive performance included insemination rate, conception rate, pregnancy rate, and the CCI. Monthly dairy herd improvement association (DHIA) testing included milk yield and MUN concentrations. Breed and lactation number had a significant effect on milk yield, MUN concentration, lying time, BCS, and lameness (p < 0.001). Lactation number had a significant effect on P4 concentrations (p < 0.001). There was a positive correlation between lameness and milk yield (p = 0.014) and a negative correlation between lameness and MUN concentrations (p = 0.038). Full article
(This article belongs to the Special Issue Dairy Cow Husbandry, Behaviour and Welfare)
12 pages, 2329 KiB  
Article
Evaluating the Bias of Two Point-of-Care Glucometers for Calves and Ewes: Awareness for Ruminant Practitioners
by Ryan Flynn, Haley Cremerius, Lisa Ebner, Pierre-Yves Mulon, Jessica Garcia, Kailee Bennett, Jessica Gerbert, Lainey Harvill, Olivia Escher, Channing Cantrell, Windy Soto-Gonzalez, Rebecca R. Rahn, Jeff D. Olivarez, Lingnan Yuan, Jonathan P. Mochel, Amanda J. Kreuder and Joe Smith
Ruminants 2024, 4(3), 304-315; https://doi.org/10.3390/ruminants4030022 - 2 Jul 2024
Viewed by 841
Abstract
(1) Background: Multiple point-of-care (POC) glucometers are in use in veterinary medicine, but few are compared to each other. This leaves the potential for clinicians to be unaware of the effect of bias when comparing results from different POC glucometers. (2) Methods: Samples [...] Read more.
(1) Background: Multiple point-of-care (POC) glucometers are in use in veterinary medicine, but few are compared to each other. This leaves the potential for clinicians to be unaware of the effect of bias when comparing results from different POC glucometers. (2) Methods: Samples from healthy calves and ewes were simultaneously compared with two POC veterinary glucometers, the Precision Xtra and the AlphaTrak2, under both the “canine” and “feline” settings. The results of each sample were statistically analyzed with linear regression and Bland–Altman analysis. (3) Results: 170 samples from healthy calves and 108 samples from healthy ewes were available for comparison. Calves: The AT2 consistently overestimated blood glucose concentrations when compared to the PX device with the calves. Correlationt with the PX was r = 0.8496 (canine setting) and r = 0.8861 (feline setting). Both the canine and feline settings demonstrated a consistent bias (41.11 and 33.64 mg/dL, respectively). Ewes: The AT2 consistently overestimated blood glucose concentrations when compared to the PX device with the ewes. Correlation with the PX was R = 0.4710 (canine setting) and R = 0.7269 (feline setting). Both the canine and feline settings demonstrated a consistent bias (21.23 and 14.54 mg/dL, respectively). (4) Clinicians should be aware of the potential for consistent bias when evaluating calf and sheep blood glucose concentrations as the AT2 device, at both settings, overestimated blood glucose compared to the previously validated PX. This reliability appears to change when the values are farther from the normal ranges, which should be considered when making clinical decisions based on data from these devices. Full article
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<p>Collection and analysis stream for the blood samples from this study. PX: Precision Xtra glucometer; AT2: AlphaTrak 2 glucometer.</p>
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<p><b>A.</b> Simple linear regression analysis for the calf samples analyzed under the “canine” setting.</p>
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<p><b>B.</b> Bland-Altman analysis for the calf samples analyzed under the “canine” setting. The solid line represented the mean difference line, and the dashed lines represent the 95% confidence intervals.</p>
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<p><b>C.</b> Simple linear regression analysis for the ewe samples analyzed under the “canine” setting.</p>
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<p><b>D.</b> Bland-Altman analysis for the sheep samples analyzed under the “canine” setting. The solid line represented the mean difference line, and the dashed lines represent the 95% confidence intervals.</p>
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<p><b>A.</b> Simple linear regression analysis for the calf samples analyzed under the “feline” setting.</p>
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<p><b>B.</b> Bland–Altman analysis for the calf samples analyzed under the “feline” setting. The solid line represented the mean difference line, and the dashed lines represent the 95% confidence intervals.</p>
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<p><b>C.</b> Simple linear regression analysis for the ewe samples analyzed under the “feline” setting.</p>
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<p><b>D.</b> Bland–Altman analysis for the sheep samples analyzed under the “feline” setting. The solid line represented the mean difference line, and the dashed lines represent the 95% confidence intervals.</p>
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12 pages, 3154 KiB  
Article
Annual Change in the Composition of Bulk Tank Milk Microbiota in Northern Kanagawa Prefecture, Japan
by Reina Ishikawa, Kazuhiro Kawai, Yuko Shimizu, Tomomi Kurumisawa and Yasunori Shinozuka
Ruminants 2024, 4(3), 292-303; https://doi.org/10.3390/ruminants4030021 - 28 Jun 2024
Viewed by 1255
Abstract
Bulk tank milk microbiota (BTMM) is affected by various factors, including the characteristics of raw milk, microflora on teat surfaces, and the milking system. Clarifying the influence of these factors is important for producing high-quality dairy products. This longitudinal study describes the annual [...] Read more.
Bulk tank milk microbiota (BTMM) is affected by various factors, including the characteristics of raw milk, microflora on teat surfaces, and the milking system. Clarifying the influence of these factors is important for producing high-quality dairy products. This longitudinal study describes the annual changes in BTMM at six dairy farms in northern Kanagawa Prefecture, Japan. Bulk tank milk samples were collected six times a year (in February, April, June, August, October, and December of 2022) to give a total of thirty-six samples. After bulk tank somatic cell counts (BTSCC) had been determined, we performed 16S rRNA gene amplicon sequence analysis to clarify the composition of the BTMM. Although no annual changes were observed in the BTSCC and alpha-diversity index, a significant difference in the beta-diversity index was observed between February and August (p = 0.0315). In February, the proportions of the psychrophilic genera Listeria and Enterococcus were significantly increased (p < 0.05). Similarly, in August, the proportion of commensal milk microbiota in the genera Catenibacterium and Acetobacter were significantly increased (p < 0.05). The results of this study suggest that the composition of BTMM in this region changed throughout the year, which may have been influenced by psychrophilic bacteria in winter. Full article
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<p>The temperature and precipitation for January to December 2022 in the subject area. The line graph shows the average monthly temperature, and the bar graph shows the average monthly rainfall.</p>
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<p>Annual trends in (<b>A</b>) bulk tank milk somatic cell count (BTSCC), and the alpha-diversity indices (<b>B</b>) richness, (<b>C</b>) Simpson’s, and (<b>D</b>) Shannon’s across the target farms. Bars represent means ± standard deviation. The Friedman test with Bonferroni correction showed no significant differences across any of the groups (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Monthly composition of bulk tank milk microbiota (BTMM) for each farm. The composition of BTMM in all months for all farms was mainly composed of the phyla <span class="html-italic">Actinobacteria</span>, <span class="html-italic">Firmicutes</span>, and <span class="html-italic">Proteobacteria</span>, except in February in farms B and E.</p>
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<p>(<b>A</b>) Stacked bar graph showing annual changes in bulk tank milk microbiota (BTMM) composition, and (<b>B</b>) principal coordinate analysis based on Bray–Curtis distance. Asterisks indicate significant differences estimated by the analysis of similarities (ANOSIM) test with Bonferroni correction. The major phyla were Actinobacteria, Firmicutes, and Proteobacteria, in descending order of abundance, and the ANOSIM test showed a significant difference in the composition of the microbiota in February and August.</p>
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<p>(<b>A</b>) Stacked bar graph showing annual changes in bulk tank milk microbiota (BTMM) composition, and (<b>B</b>) principal coordinate analysis based on Bray–Curtis distance. Asterisks indicate significant differences estimated by the analysis of similarities (ANOSIM) test with Bonferroni correction. The major phyla were Actinobacteria, Firmicutes, and Proteobacteria, in descending order of abundance, and the ANOSIM test showed a significant difference in the composition of the microbiota in February and August.</p>
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<p>Differences in the abundance of bacterial taxa in the milk microbiota in February and August. The bacterial taxa that differed significantly between February and August are shown in red and green, respectively. (<b>A</b>) List of bacterial taxa detected by linear discriminant analysis (LDA) and linear discriminant analysis effect size (LEfSe) analysis. For the LEfSe analysis, a Kruskal–Wallis test alpha value of 0.05 and an LDA score of &lt;2.0 (<span class="html-italic">p</span> &lt; 0.01) were used as thresholds. The bacterial taxa in February and August had positive and negative LDA scores, respectively. (<b>B</b>) Taxonomic cladogram generated from the LEfSe analysis.</p>
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<p>Differences in the abundance of bacterial taxa in the milk microbiota in February and August. The bacterial taxa that differed significantly between February and August are shown in red and green, respectively. (<b>A</b>) List of bacterial taxa detected by linear discriminant analysis (LDA) and linear discriminant analysis effect size (LEfSe) analysis. For the LEfSe analysis, a Kruskal–Wallis test alpha value of 0.05 and an LDA score of &lt;2.0 (<span class="html-italic">p</span> &lt; 0.01) were used as thresholds. The bacterial taxa in February and August had positive and negative LDA scores, respectively. (<b>B</b>) Taxonomic cladogram generated from the LEfSe analysis.</p>
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