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14 pages, 968 KiB  
Article
Impact of Forage Sources on Ruminal Bacteriome and Carcass Traits in Hanwoo Steers During the Late Fattening Stages
by Ryukseok Kang, Jaeyong Song, Joong Kook Park, Sukjun Yun, Jeong Heon Lee, Jun Sang Ahn, Chaemin Yu, Geonwoo Kim, Jongsik Jeong, Myeong-Gwan Oh, Wanho Jo, Woohyung Lee, Mekonnen Tilahun and Tansol Park
Microorganisms 2024, 12(10), 2082; https://doi.org/10.3390/microorganisms12102082 - 17 Oct 2024
Viewed by 811
Abstract
This study examined the effects of different forage sources on the ruminal bacteriome, growth performance, and carcass characteristics of Hanwoo steers during the fattening stage. In Korea, where high-concentrate feeding is common, selecting suitable forage is crucial for sustainable beef production. Fifteen 23-month-old [...] Read more.
This study examined the effects of different forage sources on the ruminal bacteriome, growth performance, and carcass characteristics of Hanwoo steers during the fattening stage. In Korea, where high-concentrate feeding is common, selecting suitable forage is crucial for sustainable beef production. Fifteen 23-month-old Hanwoo steers, weighing an average of 679.27 ± 43.60 kg, were fed the following five different forage sources: oat hay (OAT), rye silage (RYE), Italian ryegrass (IRS), barley forage (BAR), and rice straw silage (RSS), alongside 1.5 kg of dry matter concentrate daily for five months. Carcass traits were evaluated post-slaughter, and rumen fluid samples were analyzed using full-length 16S rRNA gene sequencing to determine the bacteriome composition. The forage source significantly affected the alpha-diversity indices and bacteriome biomarkers linked to the feed efficiency and ruminal fermentation. Differences in the backfat thickness and meat yield index were noted, with alpha-diversity indices correlating with carcass traits. The phylum Planctomycetota, especially the family Thermoguttaceae, was linked to nitrogen fixation in high-protein diets like IRS, while the genus Limimorpha emerged as a biomarker for the meat yield. These findings highlight the importance of forage selection during late fattening to optimize beef production, considering diet and bacteriome shifts. Full article
(This article belongs to the Section Virology)
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<p>Effect of forage sources on the alpha-diversity measurements from the ruminal bacteriota of Hanwoo steers. A, B, the significant differences (<span class="html-italic">p</span> ≤ 0.05) among the forage sources. a, b, the tendencies (0.05 &lt; <span class="html-italic">p</span> ≤ 0.10) among the forage sources. OAT, oat hay; RYE, rye silage; IRS, Italian ryegrass silage; BAR, barley forage; RSS, rice straw silage. (<b>a</b>) observed ASVs, (<b>b</b>) Pielou’s evenness, (<b>c</b>) Shannon’s index, (<b>d</b>) Simpson’s index, and (<b>e</b>) Faith’s phylogenetic diversity.</p>
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<p>Visualized correlations between carcass traits and major bacterial taxa at the phylum, family, genus, and species levels. Only significant correlations (|r| ≥ 0.6, <span class="html-italic">p</span> ≤ 0.05) based on the Spearman correlation coefficients are visualized.</p>
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12 pages, 257 KiB  
Article
Effects of Nutrient Manipulation during Peripartum and Suckling Period on Productivity of Hanwoo Cows and Offspring
by Gi-Hwal Son, Na-Hui Kim, So-Hee Lee, Young-Lae Kim, Jun-Sang Ahn, Min-Ji Kim, Jong-Suh Shin and Byung-Ki Park
Animals 2024, 14(18), 2633; https://doi.org/10.3390/ani14182633 - 11 Sep 2024
Viewed by 648
Abstract
This study investigated the effects of nutrient manipulation during the peripartum and suckling periods on the productivity of Hanwoo cows and their offspring. A total of 183 pregnant cows and their 180 offspring were randomly assigned to either a control group, fed a [...] Read more.
This study investigated the effects of nutrient manipulation during the peripartum and suckling periods on the productivity of Hanwoo cows and their offspring. A total of 183 pregnant cows and their 180 offspring were randomly assigned to either a control group, fed a formula feed with 13.5% crude protein (CP) and 70.5% total digestible nutrients (TDN), or a treatment group, fed nutrient-enriched formula feed with 18.0% CP and 72.5% TDN. Offspring were similarly divided and fed either 17.0% CP and 69.5% TDN (control) or 21.5% CP and 72.5% TDN (treatment). Results showed that body weight recovery was higher in the treatment group, although wither height, body length, and body condition scores were similar between groups. The treatment group exhibited increased chest girth, reduced intervals for first return to estrus, and shorter days open compared to the control group. Plasma non-esterified fatty acids, albumin, and progesterone concentrations of Hanwoo cows varied between groups at the 3 months before and after calving. Offspring in the treatment group had higher body weight and average daily gain at birth, three and six months of age, with higher dry matter intake. These findings suggest that nutrient-enriched formula feed positively influences the reproductive efficiency of Hanwoo cows and the growth performance of their offspring. Full article
8 pages, 829 KiB  
Communication
Effects of Short-Term Differences in Concentrate Feeding on the Recovery of In Vivo Embryos in Hanwoo Donor Cows through Superovulation Treatment
by Seungmin Ha, Namtae Kim, Mi-Ryung Park, Seyoung Lee, Sang-Rae Cho, Huimang Song, Daehyeok Jin, Ui-Hyung Kim and Yeoung-Gyu Ko
Animals 2024, 14(17), 2591; https://doi.org/10.3390/ani14172591 - 6 Sep 2024
Viewed by 568
Abstract
Superovulation is a technique used to increase the number of oocytes released for fertilization. This study investigated the effects of short-term differences in concentrate feed intake on in vivo embryo production through superovulation in indigenous Korean (Hanwoo) cows. The cows were given fresh [...] Read more.
Superovulation is a technique used to increase the number of oocytes released for fertilization. This study investigated the effects of short-term differences in concentrate feed intake on in vivo embryo production through superovulation in indigenous Korean (Hanwoo) cows. The cows were given fresh water and hay ad libitum and randomly divided into three groups (control (CON, n = 9): 2.0 kg/day (unchanged diet); low concentrate (LC, n = 10): 0 kg/day; and high concentrate (HC, n = 8): 4.0 kg/day) according to the amount of formula they were fed. This feeding treatment began seven days before the start of the hormonal treatment for superovulation. From the results, the LC group had the greatest weight change and the lowest body condition score at harvest, followed by the CON and HC groups (p < 0.05). The LC group had the highest number of harvesting embryos, followed by the HC and CON groups (p < 0.05). Estradiol, progesterone, glucose, total cholesterol, high-density lipoprotein, low-density lipoprotein, total protein, and blood urea nitrogen concentrations did not differ between the groups, except for a temporary increase in the HC group on day 0. These findings suggest that more embryos may be harvested when short-term changes in concentrate intake are made during superovulatory responses in Hanwoo cows. Full article
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<p>Study timeline indicating the nutritional and hormone treatments and blood sampling. CIDR, controlled internal drug release; FSH, follicular stimulation hormone; AU, armor unit; PGF2α, prostaglandin F2 alpha; GnRH, gonadotropin-releasing hormone; AI, artificial insemination.</p>
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<p>Effects of short-term nutritional differences on hormone and serum biochemical parameters. CON, control group; LC, low concentrate-fed group; HC, high concentrate-fed group. * <span class="html-italic">p</span> &lt; 0.017 (Mann–Whitney U test with Bonferroni’s method for the Kruskal–Wallis test).</p>
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15 pages, 2920 KiB  
Article
Development of Volatile Fatty Acid and Methane Production Prediction Model Using Ruminant Nutrition Comparison of Algorithms
by Myungsun Park, Sangbuem Cho, Eunjeong Jeon and Nag-Jin Choi
Fermentation 2024, 10(8), 410; https://doi.org/10.3390/fermentation10080410 - 8 Aug 2024
Viewed by 980
Abstract
(1) Background: This study explores the correlation between volatile fatty acid (VFA) concentrations and methanogenesis in ruminants, focusing on how the nutritional composition of their diets affects these processes. (2) Methods: We developed predictive models using multiple linear regression, artificial neural networks, and [...] Read more.
(1) Background: This study explores the correlation between volatile fatty acid (VFA) concentrations and methanogenesis in ruminants, focusing on how the nutritional composition of their diets affects these processes. (2) Methods: We developed predictive models using multiple linear regression, artificial neural networks, and k-nearest neighbor algorithms. The models are based on data extracted from 31 research papers and 16 ruminal in vitro fermentation tests to predict VFA concentrations from nutrient intake. Methane production estimates were derived by converting and clustering these predicted VFA values into molar ratios. (3) Results: This study found that acetate concentrations correlate significantly with neutral detergent fiber intake. Conversely, propionate and butyrate concentrations are highly dependent on dry matter intake. There was a notable correlation between methane production and the concentrations of acetate and butyrate. Increases in neutral detergent fiber intake were associated with higher levels of acetate, butyrate, and methane production. Among the three methods, the k-nearest neighbor algorithm performed best in terms of statistical fitting. (4) Conclusions: It is vital to determine the optimal intake levels of neutral detergent fiber to minimize methane emissions and reduce energy loss in ruminants. The predictive accuracy of VFA and methane models can be enhanced through experimental data collected from diverse environmental conditions, which will aid in determining optimal VFA and methane levels. Full article
(This article belongs to the Special Issue In Vitro Digestibility and Ruminal Fermentation Profile, 2nd Edition)
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<p>Comparison of multiple linear regression (MLR), <span class="html-italic">k</span>-nearest neighbor (KNN), and artificial neural network (ANN) models: (<b>A</b>) Multiple linear regression (MLR) model; (<b>B</b>) <span class="html-italic">k</span>-nearest neighbor (KNN) model (<span class="html-italic">k</span> = 1); (<b>C</b>) Artificial neural network (ANN) model; R<sup>2</sup>, coefficient of determination; MAE, mean absolute error; RMSE, root mean squared error.</p>
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<p>Comparison of multiple linear regression (MLR), <span class="html-italic">k</span>-nearest neighbor (KNN), and artificial neural network (ANN) models: (<b>A</b>) Multiple linear regression (MLR) model; (<b>B</b>) <span class="html-italic">k</span>-nearest neighbor (KNN) model (<span class="html-italic">k</span> = 1); (<b>C</b>) Artificial neural network (ANN) model; R<sup>2</sup>, coefficient of determination; MAE, mean absolute error; RMSE, root mean squared error.</p>
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<p>Plots of observed and predicted volatile fatty acids according to each algorithm: (<b>A</b>) Acetate (MC2, mol/100 mol); (<b>B</b>) Propionate (MC3, mol/100 mol); (<b>C</b>) Butyrate (MC4, mol/100 mol); R<sup>2</sup>, coefficient of determination; MAE, mean absolute error; RMSE, root mean squared error.</p>
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<p>Comparison of observed and predicted values of total volatile fatty acid with the composition of nutrient intake as a dependent variable, according to each algorithm: (<b>A</b>) Multiple linear regression (MLR) model; (<b>B</b>) <span class="html-italic">k</span>-nearest neighbor (KNN) model (<span class="html-italic">k</span> = 1); (<b>C</b>) Artificial neural network (ANN) model; <span class="html-italic">R</span><sup>2</sup>, coefficient of determination; MAE, mean absolute error; RMSE, root mean squared error.</p>
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<p>Elbow curve plot of selected <span class="html-italic">k</span> values for <span class="html-italic">K</span>-mean clusters of volatile fatty acids [<a href="#B68-fermentation-10-00410" class="html-bibr">68</a>]: (<b>A</b>) Multiple linear regression (MLR) model; (<b>B</b>) <span class="html-italic">K</span>-nearest neighbor (KNN) model (<span class="html-italic">k</span> = 1); (<b>C</b>) Artificial neural network (ANN) model; CS, within-cluster sum of squares.</p>
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<p>Comparison of predicted versus observed methane values cluster using the <span class="html-italic">K</span>-mean algorithm according to each model: (<b>A</b>) Multiple linear regression (MLR) model; (<b>B</b>) <span class="html-italic">k</span>-nearest neighbor (KNN) model (<span class="html-italic">k</span> = 1); (<b>C</b>) Artificial neural network (ANN) model; KNN model is 1 of <span class="html-italic">k</span> value based on the RMSE minimum.</p>
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18 pages, 7311 KiB  
Article
Transcriptomic Analysis of Newborn Hanwoo Calves: Effects of Maternal Overnutrition during Mid- to Late Pregnancy on Subcutaneous Adipose Tissue and Liver
by Borhan Shokrollahi, Hyun-Jeong Lee, Youl Chang Baek, Shil Jin, Gi-Suk Jang, Sung Jin Moon, Kyung-Hwan Um, Sun Sik Jang and Myung Sun Park
Genes 2024, 15(6), 704; https://doi.org/10.3390/genes15060704 - 28 May 2024
Cited by 1 | Viewed by 936
Abstract
This study investigated the transcriptomic responses of subcutaneous adipose tissue (SAT) and liver in newborn Hanwoo calves subjected to maternal overnutrition during mid- to late gestation. Eight Hanwoo cows were randomly assigned to control and treatment groups. The treatment group received a diet [...] Read more.
This study investigated the transcriptomic responses of subcutaneous adipose tissue (SAT) and liver in newborn Hanwoo calves subjected to maternal overnutrition during mid- to late gestation. Eight Hanwoo cows were randomly assigned to control and treatment groups. The treatment group received a diet of 4.5 kg of concentrate and 6.5 kg of rice straw daily, resulting in intake levels of 8.42 kg DMI, 5.69 kg TDN, and 0.93 kg CP—higher than the control group (6.07 kg DMI, 4.07 kg TDN, and 0.65 kg CP), with respective NEm values of 9.56 Mcal and 6.68 Mcal. Following birth, newly born calves were euthanized humanely as per ethical guidelines, and SAT and liver samples from newborn calves were collected for RNA extraction and analysis. RNA sequencing identified 192 genes that were differentially expressed in the SAT (17 downregulated and 175 upregulated); notably, HSPA6 emerged as the most significantly upregulated gene in the SAT and as the singular upregulated gene in the liver (adj-p value < 0.05). Additionally, differential gene expression analysis highlighted extensive changes across genes associated with adipogenesis, fibrogenesis, and stress response. The functional enrichment pathway and protein–protein interaction (PPI) unraveled the intricate networks and biological processes impacted by overnutrition, including extracellular matrix organization, cell surface receptor signaling, and the PI3K-Akt signaling pathway. These findings underscore maternal overnutrition’s substantial influence on developmental pathways, suggesting profound cellular modifications with potential lasting effects on health and productivity. Despite the robust insights that are provided, the study’s limitations (sample size) underscore the necessity for further research. Full article
(This article belongs to the Special Issue Breeding and Functional Genomics in Animals)
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<p>Gene filtering based on zero counts in the SAT and liver: Panel (<b>A</b>) depicts the process of gene exclusion due to zero counts in the SAT, while Panel (<b>B</b>) illustrates the analogous procedure for liver.</p>
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<p>Volcano plots depicting the influence of maternal overnutrition during mid- to late gestation on the gene expression in subcutaneous adipose tissue (SAT) (<b>A</b>) and liver (<b>B</b>) of newborn Hanwoo calves. The Y-axis illustrates the negative logarithm of <span class="html-italic">p</span>-values (−log10 <span class="html-italic">p</span>-values), and the X-axis represents the fold change (FC; log<sub>2</sub> fold change). Blue dots to the left signify downregulated, differentially expressed genes (DEGs), while orange dots to the right mark upregulated DEGs. DEGs significantly affected by maternal overnutrition (<span class="html-italic">p</span>-value &lt; 0.05) are emphasized.</p>
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<p>Heatmaps illustrating DEGs in the SAT of newborn Hanwoo calves. Within the heatmap, columns correspond to individual samples, where sample T was from the treatment group and samples C1, C2, and C3 were from the control group. A dendrogram is provided to display the overall expression trends visually. The spectrum of colors from red to blue signifies the extent of gene upregulation and downregulation, respectively.</p>
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<p>GO enrichment and KEGG pathway analysis for the SAT: This figure showcases the outcomes of both Gene Ontology (GO) enrichment and KEGG pathway analyses, focusing on the top 10 identified terms across biological processes, molecular functions, and cellular components, as well as the key KEGG pathways affected in the SAT as a result of maternal overnutrition. The biological processes depict general categories where gene expression is modified, the molecular functions show changes in protein activity or binding capabilities, and the cellular components indicate the locations within the cell where these changes occur. The KEGG pathways offer insights into the complex metabolic and signaling pathways that are affected. The Y-axis indicates the number of differentially expressed genes (DEGs), with blue and red bars representing downregulated and upregulated DEGs for each identified term, respectively, providing an indication of the directionality of the expression changes. The X-axis shows the number of DEGs associated with each of the top 10 GO terms and KEGG pathways. On the opposing Y-axis, the −log10 adjusted <span class="html-italic">p</span>-values for each term are illustrated by dots, providing a measure of significance for the enrichment of each term.</p>
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<p>GO enrichment and KEGG pathway analysis for liver: This figure showcases the outcomes of both Gene Ontology (GO) enrichment and KEGG pathway analyses, focusing on the top 10 identified terms across biological processes, molecular functions, and cellular components, as well as key KEGG pathways. The Y-axis indicates the number of differentially expressed genes (DEGs), with blue and red bars representing downregulated and upregulated DEGs for each identified term, respectively. The X-axis details the top 10 GO terms and KEGG pathways. On the opposing Y-axis, the −log10 adjusted <span class="html-italic">p</span>-values for each term are illustrated by dots, providing a measure of significance for the enrichment of each term.</p>
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<p>Protein–Protein Interaction (PPI) Network for the SAT: This network illustrates the interactions between proteins encoded by DEGs as a response to maternal overnutrition. Nodes symbolize the individual proteins, while the connecting lines (edges) indicate the protein interactions.</p>
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<p>Protein–Protein Interaction (PPI) Network for the liver: This network illustrates the interactions between proteins encoded by DEGs as a response to maternal overnutrition. Nodes symbolize the individual proteins, while the connecting lines (edges) indicate the protein interactions.</p>
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12 pages, 1816 KiB  
Article
Effect of Crude Polysaccharides from Ecklonia cava Hydrolysate on Cell Proliferation and Differentiation of Hanwoo Muscle Stem Cells for Cultured Meat Production
by Jae-Hoon Lee, Tae-Kyung Kim, Min-Cheol Kang, Min-Kyung Park, Sang-Hun Park, Jung-Seok Choi and Yun-Sang Choi
Foods 2024, 13(4), 563; https://doi.org/10.3390/foods13040563 - 13 Feb 2024
Viewed by 1483
Abstract
Ecklonia cava, a brown seaweed native to the East Asian coast, is known for its unique composition, including polysaccharides, polyphenols, and phlorotannins. Fucoidan is a sulfated polysaccharide widely used as a functional ingredient in foods. This study obtained crude polysaccharides (ECC_CPS) from [...] Read more.
Ecklonia cava, a brown seaweed native to the East Asian coast, is known for its unique composition, including polysaccharides, polyphenols, and phlorotannins. Fucoidan is a sulfated polysaccharide widely used as a functional ingredient in foods. This study obtained crude polysaccharides (ECC_CPS) from E. cava celluclast enzymatic hydrolysate using ethanol precipitation. ECC_CPS increased cell viability during the proliferation of Hanwoo muscle satellite cells (HMSCs). The effect of ECC_CPS on the expression of proliferation-related markers was confirmed as MYF5 and MYOD expression significantly increased, whereas PAX7 expression was maintained. The evaluation of cell migration activity has a major impact on cell proliferation and differentiation, and the cell migration index significantly increased with ECC_CPS treatment (p < 0.01). This was related to the HGF/MET pathway and FAK pathway. Treatment with ECC_CPS promoted differentiation at the cell differentiation stage, thereby increasing the expression of differentiation markers, such as MYH2, MYH7, and MYOG (p < 0.001 or p < 0.01). Therefore, our findings imply that crude polysaccharide obtained from E. cava can be an additive ingredient that enhances the proliferation and differentiation of muscle satellite cells used in the manufacture of cultured meat products. Full article
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<p>Monosaccharide composition analysis: HPAEC chromatogram of ECC, ECC_CPS1, ECC_CPS2, and ECC_CPS3 (<b>A</b>–<b>D</b>), composition ratio (<b>E</b>). N/A means not available. ECC, <span class="html-italic">E. cava</span> celluclast enzyme extract; ECC_CPS, crude polysaccharide extracts of ECC.</p>
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<p>Effects of ECC and ECC_CPSs (10, 50, and 100 μg/mL) on the cell viability of HMSCs. White, grey, and black bars represent 10, 50, and 100 μg/mL concentrations. All experimental data are expressed as the mean ± SD. Different letters (a–e) indicate significant differences (<span class="html-italic">p</span> &lt; 0.05). Con, medium-only treated group; ECC, <span class="html-italic">E. cava</span> celluclast enzyme extract; ECC_CPS, crude polysaccharide extracts of ECC.</p>
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<p>Effects of ECC_CPS3 (10 μg/mL) on mRNA expression of proliferation markers (<span class="html-italic">PAX7, MYF5</span> and <span class="html-italic">MYOD</span>) in HMSCs. All experimental data were expressed as the mean ± SD. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 considered statistically significant between ECC_CPS3 and Con. NS indicates no significant difference between ECC_CPS3 and Con (<span class="html-italic">p</span> &gt; 0.05). Con, medium-only treated group; ECC_CPS, Crude polysaccharide extracts of <span class="html-italic">E. cava</span> celluclast enzyme extract.</p>
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<p>Effects of ECC_CPS3 (10 μg/mL) on the cell migration activity of HMSCs: wound-healing images (<b>A</b>), cell migration index (%) (<b>B</b>), and mRNA expression of cell migration markers (<span class="html-italic">HGF</span> and <span class="html-italic">MET</span>) (<b>C</b>). All experimental data are expressed as the mean ± SD. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 considered statistically significant between ECC_CPS3 and Con. Con, medium-only treated group; ECC_CPS, Crude polysaccharide extracts of <span class="html-italic">E. cava</span> celluclast enzyme extract. Yellow lines indicate cell migration range.</p>
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<p>Effects of ECC_CPS3 (10 μg/mL) on focal adhesion kinase (FAK)-related mRNA expression (<span class="html-italic">CAV3</span>, <span class="html-italic">ITGB1</span>, and <span class="html-italic">CCND1</span>) in HMSCs. All experimental data are expressed as the mean ± SD. *** <span class="html-italic">p</span> &lt; 0.001 is considered statistically significant between ECC_CPS3 and Con. NS indicates no significant difference between ECC_CPS3 and Con (<span class="html-italic">p</span> &gt; 0.05). Con, medium-only treated group; ECC_CPS, crude polysaccharide extracts of <span class="html-italic">E. cava</span> celluclast enzyme extract.</p>
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<p>Effects of ECC_CPS3 (10 μg/mL) on mRNA expression of differentiation markers (<span class="html-italic">MYH2, MYH7</span>, <span class="html-italic">MYOG</span>, and <span class="html-italic">MYOD</span>) in HMSCs. All experimental data are expressed as the mean ± SD. ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 are considered statistically significant between ECC_CPS3 and Con. NS indicates no significant difference between ECC_CPS3 and Con (<span class="html-italic">p</span> &gt; 0.05). Con, medium-only treated group; ECC_CPS, Crude polysaccharide extracts of <span class="html-italic">E. cava</span> celluclast enzyme extract.</p>
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12 pages, 250 KiB  
Article
Effects of Dietary Crude Protein Level of Concentrate Mix on Growth Performance, Rumen Characteristics, Blood Metabolites, and Methane Emissions in Fattening Hanwoo Steers
by Joonpyo Oh, Hyunjin Cho, Sinyong Jeong, Kyewon Kang, Mingyung Lee, Seoyoung Jeon, Hamin Kang and Seongwon Seo
Animals 2024, 14(3), 469; https://doi.org/10.3390/ani14030469 - 31 Jan 2024
Viewed by 1357
Abstract
This study aimed to investigate the effect of varying levels of dietary crude protein (CP) on growth performance, rumen characteristics, blood metabolites, and methane emissions in fattening Hanwoo steers. Twenty-four steers, weighing 504 ± 33.0 kg (16 months old), were assigned to four [...] Read more.
This study aimed to investigate the effect of varying levels of dietary crude protein (CP) on growth performance, rumen characteristics, blood metabolites, and methane emissions in fattening Hanwoo steers. Twenty-four steers, weighing 504 ± 33.0 kg (16 months old), were assigned to four dietary treatments with different CP concentrations (15, 18, 19, and 21% of CP on a dry matter (DM) basis). A linear increasing trend in the average daily gain (ADG) was observed (p = 0.066). With increased dietary CP levels, the rumen ammonia concentration significantly increased (p < 0.001), while the propionate proportion linearly decreased (p = 0.004) and the proportions of butyrate and valerate linearly increased (p ≤ 0.003). The blood urea exhibited a linear increase (p < 0.001), whereas the blood non-esterified fatty acids and cholesterol showed a linear decrease (p ≤ 0.003) with increasing dietary CP. The methane concentration from eructation per intake (ppm/kg), forage neutral detergent fiber (NDF) intake, total NDF intake, and ADG exhibited linear decreases (p ≤ 0.014) across the treatments. In conclusion, increasing the dietary CP up to 21% in concentrates demonstrated a tendency to linearly increase the ADG and significantly decrease the propionate while increasing the butyrate. The methane concentration from eructation exhibited a tendency to linearly decrease with increasing dietary CP. Full article
(This article belongs to the Section Animal Nutrition)
16 pages, 308 KiB  
Article
Effect of Lupin Supplementation on the Growth, Carcass, and Meat Characteristics of Late-Fattening Hanwoo Steers
by Kyung-Hwan Um, Jong-Suh Shin, Gi-Hwal Son and Byung-Ki Park
Animals 2024, 14(2), 324; https://doi.org/10.3390/ani14020324 - 20 Jan 2024
Cited by 1 | Viewed by 1337
Abstract
This study aimed to investigate the effects of lupin flake supplementation on the growth, plasma parameters, carcass characteristics, and meat composition of late-fattening Hanwoo steers. The steers (n = 40) were randomly divided into the four groups with 10 steers each: LP0 [...] Read more.
This study aimed to investigate the effects of lupin flake supplementation on the growth, plasma parameters, carcass characteristics, and meat composition of late-fattening Hanwoo steers. The steers (n = 40) were randomly divided into the four groups with 10 steers each: LP0 (lupin flake 0%), LP3 (lupin flake 3%), LP6 (lupin flake 6%), and LP9 (lupin flake 9%). The total digestible nutriant intake increased as the concentration of lupin increased (linear and quadratic effects; p < 0.05). The thiobarbituric acid-reactive substance content in the strip loins decreased as lupin flake supplementation levels increased (linear and quadratic effects; p < 0.05), while carnosine levels increased linearly (p < 0.05). As the lupin flake supplementation level increased, anserine and creatinine contents increased linearly and quadratically (p < 0.05). Similarly, adenosine triphosphate (ATP) and adenosine monophosphate (AMP) content increased with increasing lupin flake supplementation levels in linear and quadratic effects (p < 0.001). Palmitoleic acid content increased significantly with increasing lupin flake supplementation level (linear and quadratic effects; p < 0.05). The content of oleic acid in the strip loin was not significant, but the unsaturated fatty acid (UFA) (p < 0.05) and n-6/n-3 ratio (p < 0.05) increased. The results of this study indicated that although lupin flake supplementation did not markedly affect the growth, carcass characteristics, or meat composition of late-fattening Hanwoo steers, it exerted a positive effect on the flavor, taste profiles (anserine, creatinine, ATP, and AMP), hypotonicity (TBARS), and healthy meat production (UFA and n-6/n-3 ratio) related to beef. Full article
11 pages, 965 KiB  
Article
Effect of the Meal Interval Setting of an Automated Concentrate Feeding System on Feed Intake and Feeding Behavior in Fattening Hanwoo Steers
by Hyunjin Cho, Kyewon Kang, Hamin Kang, Seoyoung Jeon, Mingyung Lee, Eunkyu Park, Seokman Hong and Seongwon Seo
Animals 2024, 14(1), 141; https://doi.org/10.3390/ani14010141 - 31 Dec 2023
Cited by 2 | Viewed by 1015
Abstract
An automatic concentrate feeding system (ACFS) divides the day into several intervals, allowing cattle to consume a predetermined amount of concentrate mix per interval. This study investigated the impact of changing these intervals (four vs. six) in an ACFS on its precision in [...] Read more.
An automatic concentrate feeding system (ACFS) divides the day into several intervals, allowing cattle to consume a predetermined amount of concentrate mix per interval. This study investigated the impact of changing these intervals (four vs. six) in an ACFS on its precision in monitoring the feed intake and feeding behavior of fattening Hanwoo steers. The experiment, involving 29 fattening Hanwoo steers (688 ± 43.3 kg of body weight, 24 months old), employed a switchback design with two interval settings: four and six per day. Both individual forage and concentrate intakes and feeding behaviors were automatically recorded; however, the ACFS measured feed supply, not actual intake. The precision of the ACFS’s intake recordings was tested by manually assessing feed residuals per visit using video recordings. Although no difference was observed in the concentrate intake (p > 0.05), the six-interval setting reduced concentrate residuals by 0.2 kg per visit (p < 0.05). The increased interval setting also resulted in fewer visits for forage consumption and decreased forage and total dry matter intakes (p < 0.05). In conclusion, the increased interval setting for the ACFS reduced the visit frequency for forage consumption and actual forage consumption while improving the precision of the ACFS’s intake recordings. Full article
(This article belongs to the Section Animal System and Management)
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<p>Automatic concentrate feeding system (Dawoon Co., Incheon, Republic of Korea) used in this experiment.</p>
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<p>Location of the installed video camera (MJSXJ01CM, Xiaomi Technology Co. Ltd., Beijing, China) in automatic concentrate feeding system (Dawoon Co., Incheon, Republic of Korea). The black frame represents the video camera used in this experiment.</p>
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12 pages, 255 KiB  
Article
Effects of Dietary Fat Level of Concentrate Mix on Growth Performance, Rumen Characteristics, Digestibility, Blood Metabolites, and Methane Emission in Growing Hanwoo Steers
by Hyunjin Cho, Sinyong Jeong, Kyewon Kang, Mingyung Lee, Seoyoung Jeon, Hamin Kang, Hanbeen Kim, Jakyeom Seo, Joonpyo Oh and Seongwon Seo
Animals 2024, 14(1), 139; https://doi.org/10.3390/ani14010139 - 31 Dec 2023
Cited by 1 | Viewed by 1466
Abstract
This study investigated the effect of different dietary fat levels in concentrate mixes on the growth performance, rumen characteristics, digestibility, blood metabolites, and methane emissions in growing Hanwoo steers. Thirty steers (386 ± 24.6 kg of body weight [BW]; 12 months old), blocked [...] Read more.
This study investigated the effect of different dietary fat levels in concentrate mixes on the growth performance, rumen characteristics, digestibility, blood metabolites, and methane emissions in growing Hanwoo steers. Thirty steers (386 ± 24.6 kg of body weight [BW]; 12 months old), blocked by BW, were randomly assigned to three dietary treatments with varying fat concentrations in concentrate mix (48, 74, and 99 g of ether extract per kg dry matte [DM]). The fat intake of the low-fat treatment represented 4.15% of the total dry matter intake (DMI), while the medium- and high-fat treatments accounted for 5.77% and 7.23% of total DMI, respectively. Concentrate mix DMI decreased with increasing fat level (p < 0.01). The growth rate and digestibility did not significantly differ based on the fat level (p > 0.05). As the fat level increased, propionate in the total ruminal volatile fatty acids increased, and butyrate and acetate-to-propionate decreased (p < 0.01). Cholesterol in blood serum increased significantly with increasing dietary fat levels (p < 0.01). Methane emissions exhibited a linear decrease with increasing fat level (p < 0.05). In conclusion, elevating fat content in the concentrates up to 100 g/kg DM reduced methane emissions without compromising the growth performance of growing Hanwoo steers. Full article
(This article belongs to the Section Animal Nutrition)
11 pages, 2528 KiB  
Communication
Discovery of Novel Stimulators of Pax7 and/or MyoD: Enhancing the Efficacy of Cultured Meat Production through Culture Media Enrichment
by In-Sun Yu, Yae Rim Choi, Jungseok Choi, Mina K. Kim, Chang Hwa Jung, Min Young Um and Min Jung Kim
Biosensors 2024, 14(1), 24; https://doi.org/10.3390/bios14010024 - 30 Dec 2023
Cited by 3 | Viewed by 2031
Abstract
The principles of myogenesis play crucial roles in the production of cultured meat, and identifying protein stimulators associated with myogenesis holds great potential to enhance the efficiency of this process. In this study, we used surface plasmon resonance (SPR)-based screening of a natural [...] Read more.
The principles of myogenesis play crucial roles in the production of cultured meat, and identifying protein stimulators associated with myogenesis holds great potential to enhance the efficiency of this process. In this study, we used surface plasmon resonance (SPR)-based screening of a natural product library to discover ligands for Pax7 and MyoD, key regulators of satellite cells (SCs), and performed cell-based assays on Hanwoo SCs (HWSCs) to identify substances that promote cell proliferation and/or differentiation. Through an SPR analysis, we found that six chemicals, including one Pax7+/MyoD− chemical, four Pax7+/MyoD+ chemicals, and one Pax7−/MyoD+ chemical, bound to Pax7 and/or MyoD proteins. Among four Pax7+/MyoD+ chemicals, parthenolide (0.5 and 1 µM) and rutin (100 and 200 µM) stimulated cell proliferation in the medium with 10% FBS similar to the medium with 20% FBS, without affecting differentiation. Adenosine, a Pax7−/MyoD+ chemical, accelerated differentiation. These chemicals could be potential additives to reduce the reliance of FBS required for HWSC proliferation and differentiation in cultured meat production. Full article
(This article belongs to the Section Environmental Biosensors and Biosensing)
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<p>Schematic diagram of surface plasmon resonance (SPR) system and cell-based assay.</p>
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<p>Screening of 196 chemicals for ligand activity to identify chemicals that bind to Pax7 (<b>A</b>) and MyoD (<b>B</b>) using SPR.</p>
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<p>Effects of Pax7+/MyoD- chemicals on SPR-based assay and cell-based assay. (<b>A</b>) SPR sensorgram of berbamine for Pax7 and MyoD proteins; (<b>B</b>) changes in HWSC proliferation by berbamine treatment at different concentrations using CCK-8 assay. Red (***) indicates significant difference from GM20, and blue (<sup>###</sup>) indicates significant difference from GM10.</p>
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<p>Effects of Pax7+/MyoD+ chemicals on SPR-based assay and cell-based assay. (<b>A</b>–<b>D</b>) SPR sensorgrams of Pax7+/MyoD+ chemicals for Pax7 and MyoD proteins; (<b>E</b>–<b>H</b>) changes in HWSC proliferation by Pax7+/MyoD+ chemicals; (<b>I</b>) representative fluorescence images of differentiating HWSCs after treatment of parthenolide or rutin during proliferation. Red (***) and blue (<sup>###</sup>) indicate significant difference from GM20 and GM10, respectively. Every scale bar = 100 µm.</p>
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<p>Changes in HWSC differentiation by Pax7−/MyoD+ chemicals. (<b>A</b>) SPR sensorgram of adenosine for Pax7 and MyoD proteins; (<b>B</b>) cytotoxicity of adenosine; (<b>C</b>) immunocytochemical detection of myogenic markers in HWSCs treated with adenosine during differentiation period. * <span class="html-italic">p</span> &lt; 0.05 compared to DM. Every scale bar = 100 µm.</p>
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11 pages, 779 KiB  
Article
Beef Toughness and the Amount of Greenhouse Gas Emissions as a Function of Localized Electrical Stimulation
by Dawoon Jeong, Young Soon Kim, Hong-Gun Kim and Inho Hwang
Foods 2024, 13(1), 37; https://doi.org/10.3390/foods13010037 - 21 Dec 2023
Viewed by 1243
Abstract
This study investigated the effect of localized electrical stimulation on Hanwoo beef quality. It focused on the chemical and physical properties of the Longissimus thoracis (LT) and Biceps femoris (BF) muscles, and it explored the implications of carbon dioxide (CO2) reduction [...] Read more.
This study investigated the effect of localized electrical stimulation on Hanwoo beef quality. It focused on the chemical and physical properties of the Longissimus thoracis (LT) and Biceps femoris (BF) muscles, and it explored the implications of carbon dioxide (CO2) reduction achieved by accelerating tenderization via localized electrical stimulation. The results show that the application of localized electrical stimulation (45 V) had no significant impact on the TBARS (thiobarbituric acid reactive substances) of either the LT muscle or the BF muscle. Localized electrical stimulation and aging treatments had a significant effect on meat tenderness in the LT and BF muscles, but there was no interactive effect. In particular, the WBsf (Warnar–Bratzler shear force) at 2 days of aging of the electrically stimulated BF muscle was 5.35 kg, which was lower than that of the control group (5.58 kg) after 14 days of aging; however, the effect of WBsf reduction due to aging in the LT muscle was higher than the localized electrical stimulation effect. Estimating CO2 mitigation from a shorter feeding period for Hanwoo steers from 31 months to 26 months may reduce 1.04 kg of CO2-eq emissions associated with the production of a single kilogram of trimmed beef. In conclusion, localized electrical stimulation improved the tenderness of Hanwoo beef and reduced CO2 emissions. Full article
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<p>Localized electrical stimulation probe and insertion locations. * BF: Biceps femoris muscle; ** LT: Longissimus thoracis muscle.</p>
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<p>Effect of localized electrical stimulation on the reduction in tenderness deviation in LT and BF muscles.</p>
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16 pages, 2854 KiB  
Article
Genomic Predictions in Korean Hanwoo Cows: A Comparative Analysis of Genomic BLUP and Bayesian Methods for Reproductive Traits
by Md Azizul Haque, Yun-Mi Lee, Jae-Jung Ha, Shil Jin, Byoungho Park, Nam-Young Kim, Jeong-Il Won and Jong-Joo Kim
Animals 2024, 14(1), 27; https://doi.org/10.3390/ani14010027 - 20 Dec 2023
Cited by 1 | Viewed by 1380
Abstract
This study aimed to predict the accuracy of genomic estimated breeding values (GEBVs) for reproductive traits in Hanwoo cows using the GBLUP, BayesB, BayesLASSO, and BayesR methods. Accuracy estimates of GEBVs for reproductive traits were derived through fivefold cross-validation, analyzing a dataset comprising [...] Read more.
This study aimed to predict the accuracy of genomic estimated breeding values (GEBVs) for reproductive traits in Hanwoo cows using the GBLUP, BayesB, BayesLASSO, and BayesR methods. Accuracy estimates of GEBVs for reproductive traits were derived through fivefold cross-validation, analyzing a dataset comprising 11,348 animals and employing an Illumina Bovine 50K SNP chip. GBLUP showed an accuracy of 0.26 for AFC, while BayesB, BayesLASSO, and BayesR demonstrated values of 0.28, 0.29, and 0.29, respectively. For CI, GBLUP attained an accuracy of 0.19, whereas BayesB, BayesLASSO, and BayesR scored 0.21, 0.24, and 0.25, respectively. The accuracy for GL was uniform across GBLUP, BayesB, and BayesR at 0.31, whereas BayesLASSO showed a slightly higher accuracy of 0.33. For NAIPC, GBLUP showed an accuracy of 0.24, while BayesB, BayesLASSO, and BayesR recorded 0.22, 0.27, and 0.30, respectively. The variation in genomic prediction accuracy among methods indicated Bayesian approaches slightly outperformed GBLUP. The findings suggest that Bayesian methods, notably BayesLASSO and BayesR, offer improved predictive capabilities for reproductive traits. Future research may explore more advanced genomic approaches to enhance predictive accuracy and genetic gains in Hanwoo cattle breeding programs. Full article
(This article belongs to the Section Animal Genetics and Genomics)
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<p>SNP density plot for each chromosome displaying the quantity of SNPs.</p>
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<p>(<b>A</b>) Histograms and (<b>B</b>) QQ plots of the diagonal and off-diagonal values of the genomic relationship matrix.</p>
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<p>Accuracy of genomic predictions obtained by different methods in Hanwoo cows’ reproductive traits. Vertical lines indicate the empirical standard error for cross-validation results.</p>
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<p>The bias estimation in genomic predictions for Hanwoo reproductive traits.</p>
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11 pages, 1073 KiB  
Article
Comparative Pharmacokinetics and Bioequivalence of Pour-On Ivermectin Formulations in Korean Hanwoo Cattle
by Suyoung Kim, HyunYoung Chae, Eon-Bee Lee, Gayeong Lee, Seung-Chun Park and Jeongwoo Kang
Antibiotics 2024, 13(1), 3; https://doi.org/10.3390/antibiotics13010003 - 19 Dec 2023
Viewed by 1666
Abstract
This study aimed to conduct a bioequivalence study of applying three pour-on ivermectin formulations at a dose of 1 mg/kg on the back of Korean native beef cattle (Hanwoo). To conduct bioequivalence testing, the pharmacokinetics of three groups (control Innovator, test Generic A, [...] Read more.
This study aimed to conduct a bioequivalence study of applying three pour-on ivermectin formulations at a dose of 1 mg/kg on the back of Korean native beef cattle (Hanwoo). To conduct bioequivalence testing, the pharmacokinetics of three groups (control Innovator, test Generic A, and test Generic B) of five clinically healthy Korean Hanwoo cattle (average weight 500 kg) were studied. After topical application to the skin, blood samples were drawn at the indicated times. These blood samples were analyzed using liquid chromatography–tandem mass spectrometry (LC-MS/MS). The time required to reach the maximum concentration (Tmax), the maximum concentration (Cmax), and the area under the curve (AUClast) of each pharmacokinetic parameter were compared for bioequivalence. The results showed that the control had a Tmax of 41 ± 1.24 h, a Cmax of 0.11 ± 0.01 μg/mL, and an AUClast of 9.33 ± 0 h*μg/mL). The comparator Generic A had a Tmax of 40 ± 1.14 h, a Cmax of 0.10 ± 0.01 (μg/mL, and an AUClast of 9.41 ± 0.57 h*μg/mL, while Generic B had a Tmax of 40 ± 2.21 h, a Cmax of 0.10 ± 0.01 μg/mL, and an AUClast of 9 h*μg/mL. The values of the bioequivalence indicators Cmax, Tmax, and AUC were all within the range of 80% to 120%, confirming that all three tested formulations were bioequivalent. In conclusion, the study showed that the two generic products were bioequivalent to the original product in Hanwoo cattle. Full article
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<p>Representative LC–MS/MS chromatograms for ivermectin from the spiked sample (<b>A</b>) and standard solutions (<b>B</b>).</p>
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<p>Concentration(μg/mL)–time profiles for ivermectin in plasma following pour-on applying the control Innovator or test Generic A and Generic B ivermectin formulations to cattle.</p>
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<p>Comparison of the maximum concentration (Cmax) (<b>A</b>) and the area under the curve to the last measurable concentration (AUClast) (<b>B</b>) in cattle for the control Innovator, Generic A, and Generic B ivermectin formulations. The values for Cmax and AUClast for each of the three products were identical and showed no statistically significant variations.</p>
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<p>Experimental design to determine how ivermectin formulations work on Korean Hanwoo cattle. Fifteen Korean beef cattle were randomly divided into three groups: Innovator (group A), Generic A (group B), and Generic B (group C). Ivermectin was applied in a continuous strip along the midline of the upper back to the tip of the tail. After application, the animals were individually housed to prevent the possibility of licking each other.</p>
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20 pages, 5394 KiB  
Article
Improving Known–Unknown Cattle’s Face Recognition for Smart Livestock Farm Management
by Yao Meng, Sook Yoon, Shujie Han, Alvaro Fuentes, Jongbin Park, Yongchae Jeong and Dong Sun Park
Animals 2023, 13(22), 3588; https://doi.org/10.3390/ani13223588 - 20 Nov 2023
Cited by 3 | Viewed by 1722
Abstract
Accurate identification of individual cattle is of paramount importance in precision livestock farming, enabling the monitoring of cattle behavior, disease prevention, and enhanced animal welfare. Unlike human faces, the faces of most Hanwoo cattle, a native breed of Korea, exhibit significant similarities and [...] Read more.
Accurate identification of individual cattle is of paramount importance in precision livestock farming, enabling the monitoring of cattle behavior, disease prevention, and enhanced animal welfare. Unlike human faces, the faces of most Hanwoo cattle, a native breed of Korea, exhibit significant similarities and have the same body color, posing a substantial challenge in accurately distinguishing between individual cattle. In this study, we sought to extend the closed-set scope (only including identifying known individuals) to a more-adaptable open-set recognition scenario (identifying both known and unknown individuals) termed Cattle’s Face Open-Set Recognition (CFOSR). By integrating open-set techniques to enhance the closed-set accuracy, the proposed method simultaneously addresses the open-set scenario. In CFOSR, the objective is to develop a trained model capable of accurately identifying known individuals, while effectively handling unknown or novel individuals, even in cases where the model has been trained solely on known individuals. To address this challenge, we propose a novel approach that integrates Adversarial Reciprocal Points Learning (ARPL), a state-of-the-art open-set recognition method, with the effectiveness of Additive Margin Softmax loss (AM-Softmax). ARPL was leveraged to mitigate the overlap between spaces of known and unknown or unregistered cattle. At the same time, AM-Softmax was chosen over the conventional Cross-Entropy loss (CE) to classify known individuals. The empirical results obtained from a real-world dataset demonstrated the effectiveness of the ARPL and AM-Softmax techniques in achieving both intra-class compactness and inter-class separability. Notably, the results of the open-set recognition and closed-set recognition validated the superior performance of our proposed method compared to existing algorithms. To be more precise, our method achieved an AUROC of 91.84 and an OSCR of 87.85 in the context of open-set recognition on a complex dataset. Simultaneously, it demonstrated an accuracy of 94.46 for closed-set recognition. We believe that our study provides a novel vision to improve the classification accuracy of the closed set. Simultaneously, it holds the potential to significantly contribute to herd monitoring and inventory management, especially in scenarios involving the presence of unknown or novel cattle. Full article
(This article belongs to the Special Issue Artificial Intelligence Tools to Optimize Livestock Production)
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<p>Architecture of our proposed CFOSR method. In the training phase, only known images are fed into the feature extractor. After training the model with three loss functions, the known reciprocal points (<math display="inline"><semantics> <msub> <mi mathvariant="script">P</mi> <mi>K</mi> </msub> </semantics></math>, where <span class="html-italic">K</span> is the number of known individuals) are learned. In the evaluation phase, unknown ones are identified based on the distance between the features and the known reciprocal points. <span class="html-italic">d</span> is a distance function, and <math display="inline"><semantics> <mi>τ</mi> </semantics></math> is a threshold.</p>
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<p>Illustration of camera installation. This figure illustrates the installation diagram of one of the cameras. We positioned a camera on the wall facing the cowshed, placing it at a height of 3.3 m above the ground and at a distance of 6 m from the cowshed.</p>
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<p>One example of the collected dataset for the morning feeding time. The first row is the images captured by the three cameras, respectively. The second row is the corresponding annotated images with bounding boxes.</p>
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<p>Five instances of cattle are showcased in the training datasets as examples, with each of the cattle encompassing images captured during three distinct feeding instances. Those examples illustrate the challenges faced in this study, including illumination, overlapping cattle’s faces, captured partial cattle’s faces, various postures and orientations, and varying sizes of heads.</p>
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<p>Contrast between decision boundaries: softmax loss (cross-entropy) and AM-Softmax [<a href="#B18-animals-13-03588" class="html-bibr">18</a>]. For the softmax loss, the decision boundary is at P0. For AM-Softmax, the decision boundaries for Class 1 and Class 2 are at P1 and P2, respectively.</p>
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<p>An instance showcasing both known and unknown density distributions in CFOSR. Figures (<b>a</b>–<b>d</b>) in the black frame indicate ViT-IN21k-AM, ViT-IN21k, ViT-PlantCLEF, and ViT-MAE, respectively. Figures (<b>e</b>,<b>f</b>) in the blue frame denote RN50-IN1k-AM and RN50-IN1k, respectively. Zoom in to see the details.</p>
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<p>Comparison of AUROC and OSCR results utilizing the cross-entropy loss and AM-Softmax. The ViT-based results represent the average outcomes across ViT-MAE, ViT-PlantCLEF, and ViT-IN21k.</p>
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<p>One of the examples of the confusion matrix of known individuals in CFOSR. Figures (<b>a</b>–<b>d</b>) indicate ViT-IN21k with AM-Softmax (ViT-IN21k-AM), ViT-IN21k with cross-entropy loss (ViT-IN21k-CE), RN50-IN1k with AM-Softmax (RN50-IN1k-AM), and RN50-IN1k with cross-entropy loss (RN50-IN1k-CE), respectively. The green font indicates the number of recognized instances of cattle, while the red font indicates the recognition percentage. Zoom in to see the details.</p>
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<p>Model performance based on varying numbers of known cattle (openness) on the cattle’s face dataset.</p>
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<p>Visualization of t-SNE on cattle’s face dataset with all 17 individual cattle. Figure (<b>a</b>–<b>d</b>) ViT-IN21k-AM with open-set techniques, ViT-IN21k with cross-entropy loss, RN50-IN1k-AM with open-set techniques, and RN50-IN1k with cross-entropy loss, respectively. Zoom in to see the details.</p>
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<p>Examples of confusion matrix of all 17 individual cattle. Figures (<b>a</b>–<b>d</b>) indicate ViT-IN21k-AM with open-set techniques, ViT-IN21k with cross-entropy loss, RN50-IN1k-AM with open-set techniques, and RN50-IN1k with cross-entropy loss, respectively. The green font indicates the number of recognized instances of cattle, while the red font indicates the recognition percentage. Zoom in to see the details.</p>
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