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Barbar C, Bass PD, Barbar R, Bader J, Wondercheck B. Artificial intelligence-driven automation is how we achieve the next level of efficiency in meat processing. Anim Front 2022; 12:56-63. [PMID: 35505849 PMCID: PMC9056041 DOI: 10.1093/af/vfac017] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Affiliation(s)
| | - Phillip D Bass
- Department of Animal, Veterinary and Food Sciences, University of Idaho, Moscow, ID 83844, USA
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2
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Rezende FM, Rodriguez E, Leal-Gutiérrez JD, Elzo MA, Johnson DD, Carr C, Mateescu RG. Genomic Approaches Reveal Pleiotropic Effects in Crossbred Beef Cattle. Front Genet 2021; 12:627055. [PMID: 33815465 PMCID: PMC8017557 DOI: 10.3389/fgene.2021.627055] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Accepted: 02/22/2021] [Indexed: 12/13/2022] Open
Abstract
Carcass and meat quality are two important attributes for the beef industry because they drive profitability and consumer demand. These traits are of even greater importance in crossbred cattle used in subtropical and tropical regions for their superior adaptability because they tend to underperform compared to their purebred counterparts. Many of these traits are challenging and expensive to measure and unavailable until late in life or after the animal is harvested, hence unrealistic to improve through traditional phenotypic selection, but perfect candidates for genomic selection. Before genomic selection can be implemented in crossbred populations, it is important to explore if pleiotropic effects exist between carcass and meat quality traits. Therefore, the objective of this study was to identify genomic regions with pleiotropic effects on carcass and meat quality traits in a multibreed Angus-Brahman population that included purebred and crossbred animals. Data included phenotypes for 10 carcass and meat quality traits from 2,384 steers, of which 1,038 were genotyped with the GGP Bovine F-250. Single-trait genome-wide association studies were first used to investigate the relevance of direct additive genetic effects on each carcass, sensory and visual meat quality traits. A second analysis for each trait included all other phenotypes as covariates to correct for direct causal effects from identified genomic regions with pure direct effects on the trait under analysis. Five genomic windows on chromosomes BTA5, BTA7, BTA18, and BTA29 explained more than 1% of additive genetic variance of two or more traits. Moreover, three suggestive pleiotropic regions were identified on BTA10 and BTA19. The 317 genes uncovered in pleiotropic regions included anchoring and cytoskeletal proteins, key players in cell growth, muscle development, lipid metabolism and fat deposition, and important factors in muscle proteolysis. A functional analysis of these genes revealed GO terms directly related to carcass quality, meat quality, and tenderness in beef cattle, including calcium-related processes, cell signaling, and modulation of cell-cell adhesion. These results contribute with novel information about the complex genetic architecture and pleiotropic effects of carcass and meat quality traits in crossbred beef cattle.
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Affiliation(s)
- Fernanda M Rezende
- Department of Animal Sciences, University of Florida, Gainesville, FL, United States
| | - Eduardo Rodriguez
- Department of Animal Sciences, University of Florida, Gainesville, FL, United States
| | - Joel D Leal-Gutiérrez
- Psychiatry Department, University of California, San Diego, La Jolla, CA, United States
| | - Mauricio A Elzo
- Department of Animal Sciences, University of Florida, Gainesville, FL, United States
| | - Dwain D Johnson
- Department of Animal Sciences, University of Florida, Gainesville, FL, United States
| | - Chad Carr
- Department of Animal Sciences, University of Florida, Gainesville, FL, United States
| | - Raluca G Mateescu
- Department of Animal Sciences, University of Florida, Gainesville, FL, United States
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3
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de Andrade TS, Albertini TZ, Barioni LG, de Medeiros SR, Millen DD, dos Santos ACR, Goulart RS, Lanna DPD. Perception of consultants, feedlot owners, and packers regarding the optimal economic slaughter endpoint in feedlots: a national survey in Brazil (Part I). CANADIAN JOURNAL OF ANIMAL SCIENCE 2020. [DOI: 10.1139/cjas-2019-0219] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Little information exists regarding the optimal economic slaughter endpoint (OSE) for feedlot-finished cattle in Brazil. This study investigated the perceptions of Brazilian feeders regarding the optimal time for slaughter. A total of 52 interviews were conducted involving nutritionist-consultants (n = 23), feedlot owners (n = 21), and packer-owned feedlots (n = 8). The results showed that 65% of the interviewees used weight and fat cover, both estimated visually, to determine the moment for slaughter. Identifying the ideal time for slaughter was considered a challenge for respondents, and 85% of them recognized that their current slaughter endpoint identification method needed improvements. Regarding decision support systems, 58% of respondents reported they would purchase a computer program to help identify OSE, and 73% would be interested in incorporating a prototype of such a system into their feedlots. Carcass dressing (38%) and price (25%) were the main factors driving the feeder’s choice of meatpacker, followed by carcass premiums (10%). Meat quality was found to be an irrelevant criterion for Brazilian meatpackers in awarding both premiums (5%) and deductions (3%). Slaughter endpoint is determined subjectively by the Brazilian feeders, based on a visual evaluation of both weight and fatness.
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Affiliation(s)
- Thiago Sérgio de Andrade
- Departament of Animal Science, University of São Paulo (ESALQ/USP), Piracicaba, São Paulo 13418-900, Brazil
| | - Tiago Zanett Albertini
- @Tech — Innovation Technologies for Agriculture, Piracicaba, São Paulo 13418-900, Brazil
| | | | | | - Danilo Domingues Millen
- College of Technology and Agricultural Sciences, São Paulo State University (UNESP), Dracena, São Paulo 17900-00, Brazil
| | | | - Rodrigo Silva Goulart
- Department of Animal Science, College of Animal Science and Food Engineering, University of São Paulo (FZEA/USP), Pirassununga, São Paulo 13635-900, Brazil
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Nikolaou K, Koutsouli P, Bizelis I. Evaluation of Greek Cattle Carcass Characteristics (Carcass Weight and Age of Slaughter) Based on SEUROP Classification System. Foods 2020; 9:foods9121764. [PMID: 33260518 PMCID: PMC7760875 DOI: 10.3390/foods9121764] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 11/25/2020] [Accepted: 11/26/2020] [Indexed: 11/16/2022] Open
Abstract
In Greece, all cattle carcasses produced from a variety of breed types are classified according to the SEUROP system. The objective of this study was to evaluate Greek carcass characteristics such as carcass weight and age of slaughter based on SEUROP classification system (muscle conformation and fat deposit classes) and to describe the effect of main factors such as breed, gender, year of slaughter, farm's geographical region and month of slaughter on these carcass parameters. It is the first study that evaluates local breeds, revealing the wide diversity of the Greek cattle breeding conditions. The analyzed records consisted of 323,046 carcasses from 2011 to 2017. All the examined factors significantly affected the mean carcass weight (298.9 ± 0.2 kg) and the mean slaughter age (559.1 ± 0.3 days). Carcasses from beef meat breeds had on average higher mean carcass weight while the local breeds had lower. The mean slaughter age and carcass weight were higher in winter than in summer. The local and the dairy breeds were classified in similar muscle conformation classes. Finally, Greek cattle carcasses from almost all regions were satisfactory for their quality carcass traits with good muscle conformation (R, O and U class) and low-fat deposit (class 1 to 3).
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Affiliation(s)
- Kostoula Nikolaou
- Department of Bovine Sector and Equity, Directorate General of Agriculture, Directorate of Animal Husbandry Systems, Hellenic Ministry of Rural Development and Food, Veranzerou 46, 10176 Athens, Greece;
| | - Panagiota Koutsouli
- Laboratory of Animal Breeding and Husbandry, Department of Animal Science, Faculty of Animal Biosciences, Agricultural University of Athens, 11855 Athens, Greece;
- Correspondence: ; Tel.: +30-210-5292-4440
| | - Iosif Bizelis
- Laboratory of Animal Breeding and Husbandry, Department of Animal Science, Faculty of Animal Biosciences, Agricultural University of Athens, 11855 Athens, Greece;
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Foster MK, Caldwell KR, Arnold AN, Griffin DB, Gehring KB, Savell JW. Palatability assessments of beef strip loin steaks portioned by weight or by thickness sourced from various carcass weight/ribeye area size combinations. Meat Sci 2020; 172:108319. [PMID: 33022542 DOI: 10.1016/j.meatsci.2020.108319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 09/18/2020] [Accepted: 09/19/2020] [Indexed: 10/23/2022]
Abstract
Beef carcasses (n = 90; U.S. Choice) met a 3 ribeye area (REA - Small, Medium, Large) × 3 carcass weight (CW - Light, Intermediate, Heavy) scheme to assess palatability on steaks cut by portion thickness (PT- 3.18 cm) and weight (PW -340 g). Significant interactions revealed trends for steaks from the Small REA, regardless of CW, to have among the lowest shear-force values. For PT steaks, significant interaction for overall liking revealed no differences for Small and Medium REA across all CW categories, but steaks from Large REA from Light CW differed (P < 0.05) from the other two CW categories. For PT steaks, overall liking and tenderness liking scores were higher (P < 0.05) for Small REA compared to other categories, whereas CW did not influence any palatability trait. REA and CW do impact beef steak palatability, though steaks from all combinations were "very tender" and highly acceptable from a palatability standpoint.
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Affiliation(s)
- Morgan K Foster
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station, TX 77843-2471, USA
| | - Kyle R Caldwell
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station, TX 77843-2471, USA
| | - Ashley N Arnold
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station, TX 77843-2471, USA
| | - Davey B Griffin
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station, TX 77843-2471, USA
| | - Kerri B Gehring
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station, TX 77843-2471, USA
| | - Jeffrey W Savell
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station, TX 77843-2471, USA.
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Kline HC, Weller ZD, Grandin T, Algino RJ, Edwards-Callaway LN. From unloading to trimming: studying bruising in individual slaughter cattle. Transl Anim Sci 2020; 4:txaa165. [PMID: 33150305 PMCID: PMC7594242 DOI: 10.1093/tas/txaa165] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Accepted: 09/04/2020] [Indexed: 11/13/2022] Open
Abstract
Livestock bruising is both an animal welfare concern and a detriment to the economic value of carcasses. Understanding the causes of bruising is challenging due to the numerous factors that have been shown to be related to bruise prevalence. While most cattle bruising studies collect and analyze data on truckload lots of cattle, this study followed a large number (n = 585) of individual animals from unloading through postmortem processing at five different slaughter plants. Both visual bruise presence and location was recorded postmortem prior to carcass trimming. By linking postmortem data to animal sex, breed, trailer compartment, and traumatic events at unloading, a rich analysis of a number of factors related to bruise prevalence was developed. Results showed varying levels of agreement with other published bruising studies, underscoring the complexity of assessing the factors that affect bruising. Bruising prevalence varied across different sex class types (P < 0.001); 36.5% of steers [95% confidence interval (CI): 31.7, 41.6; n = 378], 52.8% of cows (45.6, 60.0; 193), and 64.3% of bulls (no CI calculated due to sample size; 14) were bruised. There was a difference in bruise prevalence by trailer compartment (P = 0.035) in potbelly trailers, indicating that cattle transported in the top deck were less likely to be bruised (95% CI: 26.6, 40.4; n = 63) compared to cattle that were transported in the bottom deck (95% CI: 39.6, 54.2; n = 89). Results indicated that visual assessment of bruising underestimated carcass bruise trimming. While 42.6% of the carcasses were visibly bruised, 57.9% of carcasses were trimmed due to bruising, suggesting that visual assessment is not able to capture all of the carcass loss associated with bruising. Furthermore, bruises that appeared small visually were often indicators of larger, subsurface bruising, creating an “iceberg effect” of trim loss due to bruising.
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Affiliation(s)
- Helen C Kline
- Department of Animal Sciences, Colorado State University, Fort Collins, CO
| | - Zachary D Weller
- Department of Statistics, Colorado State University, Fort Collins, CO
| | - Temple Grandin
- Department of Animal Sciences, Colorado State University, Fort Collins, CO
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Leal-Gutiérrez JD, Elzo MA, Johnson DD, Hamblen H, Mateescu RG. Genome wide association and gene enrichment analysis reveal membrane anchoring and structural proteins associated with meat quality in beef. BMC Genomics 2019; 20:151. [PMID: 30791866 PMCID: PMC6385435 DOI: 10.1186/s12864-019-5518-3] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Accepted: 02/07/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Meat quality related phenotypes are difficult and expensive to measure and predict but are ideal candidates for genomic selection if genetic markers that account for a worthwhile proportion of the phenotypic variation can be identified. The objectives of this study were: 1) to perform genome wide association analyses for Warner-Bratzler Shear Force (WBSF), marbling, cooking loss, tenderness, juiciness, connective tissue and flavor; 2) to determine enriched pathways present in each genome wide association analysis; and 3) to identify potential candidate genes with multiple quantitative trait loci (QTL) associated with meat quality. RESULTS The WBSF, marbling and cooking loss traits were measured in longissimus dorsi muscle from 672 steers. Out of these, 495 animals were used to measure tenderness, juiciness, connective tissue and flavor by a sensory panel. All animals were genotyped for 221,077 markers and included in a genome wide association analysis. A total number of 68 genomic regions covering 52 genes were identified using the whole genome association approach; 48% of these genes encode transmembrane proteins or membrane associated molecules. Two enrichment analysis were performed: a tissue restricted gene enrichment applying a correlation analysis between raw associated single nucleotide polymorphisms (SNPs) by trait, and a functional classification analysis performed using the DAVID Bioinformatic Resources 6.8 server. The tissue restricted gene enrichment approach identified eleven pathways including "Endoplasmic reticulum membrane" that influenced multiple traits simultaneously. The DAVID functional classification analysis uncovered eleven clusters related to transmembrane or structural proteins. A gene network was constructed where the number of raw associated uncorrelated SNPs for each gene across all traits was used as a weight. A multiple SNP association analysis was performed for the top five most connected genes in the gene-trait network. The gene network identified the EVC2, ANXA10 and PKHD1 genes as potentially harboring multiple QTLs. Polymorphisms identified in structural proteins can modulate two different processes with direct effect on meat quality: in vivo myocyte cytoskeletal organization and postmortem proteolysis. CONCLUSION The main result from the present analysis is the uncovering of several candidate genes associated with meat quality that have structural function in the skeletal muscle.
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Affiliation(s)
| | - Mauricio A. Elzo
- Department of Animal Sciences, University of Florida, Gainesville, FL USA
| | - D. Dwain Johnson
- Department of Animal Sciences, University of Florida, Gainesville, FL USA
| | - Heather Hamblen
- Department of Animal Sciences, University of Florida, Gainesville, FL USA
| | - Raluca G. Mateescu
- Department of Animal Sciences, University of Florida, Gainesville, FL USA
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Flowers S, Hamblen H, Leal-Gutiérrez JD, Elzo MA, Johnson DD, Mateescu RG. Fatty acid profile, mineral content, and palatability of beef from a multibreed Angus-Brahman population. J Anim Sci 2019; 96:4264-4275. [PMID: 30052995 DOI: 10.1093/jas/sky300] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Accepted: 07/21/2018] [Indexed: 01/09/2023] Open
Abstract
Consumers demand meat that is both healthy and palatable, 2 attributes of meat that are affected by lipid content. Many cattle in the southern United States are Bos indicus influenced, as this improves the ability to survive and thrive in these subtropical regions. However, these animals tend to have leaner carcasses and less marbled meat products. Thus, the objective of this study was to examine the effect of percent Brahman genetics on carcass characteristics, palatability, fatty acids profile, and minerals content in LM of steers from a multibreed population ranging from 100% Angus to 100% Brahman. Breed effect was significant for birth weight (P = 0.0003), weaning weight (P < 0.0001), HCW (P < 0.0001), dressing percentage (P = 0.0008), ribeye area (P = 0.002), quality grade (P < 0.0001), and marbling score (P < 0.0001), and all these traits except dressing percentage decreased as the percentage of Brahman increased. Among palatability traits, breed group had a significant effect only on tenderness (TEND) and connective tissue (CT) scores (P < 0.0001). Least squares means decreased from Angus (5.75 ± 0.13 TEND score and 6.29 ± 0.14 CT score, respectively) to Brahman (4.84 ± 0.10 TEND score and 5.49 ± 0.11 CT score, respectively) as indicated by a significant linear effect. Breed group significantly affected the percentage of several individual fatty acids, saturated fatty acids (SFA), and polyunsaturated fatty acids (PUFA), but not monounsaturated fatty acids (MUFA). The 100% Angus group had the highest percentage of SFA at 49.92%, which was significantly higher (P < 0.05) than the SFA percentage in the 50%, 75%, and 100% Brahman breed groups. Brangus animals also had an increased SFA percentage compared with the 100% Brahman animals (P < 0.05). No significant effect was identified for the concentration of PUFA across the 6 breed groups (P = 0.14). Least squares means decreased from 100% Angus to 100% Brahman for concentration of total fat, SFA, and MUFA (g/mg meat). The concentration of magnesium (P < 0.0001), phosphorus (P = 0.06), and potassium (P = 0.06) increased as the percentage of Brahman increased. Our study shows that breed has a significant effect on the fatty acid profile of beef. Cattle with high Brahman percentage, which are characterized by lower marbled meat, will present a more favorable healthfulness profile with reduced content of SFA and MUFA but the same content of PUFA as purebred Angus animals.
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Affiliation(s)
- Sarah Flowers
- Department of Animal Sciences, University of Florida, Gainesville, FL
| | - Heather Hamblen
- Department of Animal Sciences, University of Florida, Gainesville, FL
| | | | - Mauricio A Elzo
- Department of Animal Sciences, University of Florida, Gainesville, FL
| | - Dwain D Johnson
- Department of Animal Sciences, University of Florida, Gainesville, FL
| | - Raluca G Mateescu
- Department of Animal Sciences, University of Florida, Gainesville, FL
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Assessment of muscle Longissimus thoracis et lumborum marbling by image analysis and relationships between meat quality parameters. PLoS One 2018; 13:e0202535. [PMID: 30133495 PMCID: PMC6104982 DOI: 10.1371/journal.pone.0202535] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Accepted: 08/03/2018] [Indexed: 11/21/2022] Open
Abstract
The intramuscular fat (IMF), recognized by the consumer as marbling, is an important meat quality trait. The objective of this study was to validate a new method of beef marbling evaluation by image analysis. The new assessment was compared with two known marbling measurements: chemical IMF and USDA scores. Moreover, the relationship between marbling measurements and other meat quality parameters was investigated. Samples of Longissimus thoracis et lumborum (LTL) muscle were obtained from carcasses of 39 Italian crossbred heifers and 62 Angus bred heifers, that underwent two different dietary treatments. The use of various breeds and diets was chosen to obtain different intramuscular fat levels, in order to validate the use of Image J software for the analysis of different type of beef meat. The images of fresh cuts were appraised by experienced beef graders, and the samples were used to determine fat content by chemical Soxhlet extraction. Carcasses measurements according to the EUROP system, and other physical meat proprieties were also assessed. The results demonstrated that the marbling measurements obtained by computer image analysis, such as the number of marbling particles, the average particle size (mm), and the percentage of marbling particles (%), significantly (P < 0.05) correlated with USDA scores and IMF content. Moreover, the principal component analysis (PCA) showed three principal meat components, identified as 1) color, 2) fat, and 3) water release. The second principal component (PC) explained 24.94% of variance, and was positively correlated with image analysis measures, USDA score, and IMF, while negatively correlated with the Warner–Bratzler shear force (WBSF).
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Boykin CA, Eastwood LC, Harris MK, Hale DS, Kerth CR, Griffin DB, Arnold AN, Hasty JD, Belk KE, Woerner DR, Delmore RJ, Martin JN, VanOverbeke DL, Mafi GG, Pfeiffer MM, Lawrence TE, McEvers TJ, Schmidt TB, Maddock RJ, Johnson DD, Carr CC, Scheffler JM, Pringle TD, Stelzleni AM, Gottlieb J, Savell JW. National Beef Quality Audit - 2016: Survey of carcass characteristics through instrument grading assessments. J Anim Sci 2017; 95:3003-3011. [PMID: 28727107 DOI: 10.2527/jas.2017.1544] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The instrument grading assessment portion of the National Beef Quality Audit (NBQA) - 2016 allows the unique opportunity to evaluate beef carcass traits over the course of a year. One week of instrument grading data was collected each month from 5 beef processing corporations encompassing 18 facilities from January 2016 through December 2016 ( = 4,544,635 carcasses). Mean USDA yield grade (YG) was 3.1 with 1.37 cm fat thickness (FT), 88.9 cm LM area, 393.6 kg HCW, and 2.1% KPH. Frequency distribution of USDA YG was 9.5% YG 1, 34.6% YG 2, 38.8% YG 3, 14.6% YG 4, and 2.5% YG 5. Increases in HCW and FT since the NBQA-2011 were major contributors to differences in mean YG and the (numerically) increased frequency of YG 3, 4, and 5 carcasses found in the current audit. Mean marbling score was Small, and the distribution of USDA quality grades was 4.2% Prime, 71.4% Choice, 21.7% Select, and 2.7% other. Frequency of carcasses grading Prime on Monday (6.43%) was numerically higher than the average frequency of carcasses grading Prime overall (4.2%). Monthly HCW means were 397.6 kg in January, 397.2 kg in February, 396.5 kg in March, 389.3 kg in April, 384.8 kg in May, 385.0 kg in June, 386.1 kg in July, 394.1 kg in August, 399.1 kg in September, 403.9 kg in October, 406.5 kg in November, and 401.9 kg in December. Monthly mean marbling scores were Small in January, Small in February, Small in March, Small in April, Small in May, Small in June, Small in July, Small in August, Small in September, Small in October, Small in November, and Small in December. Both mean HCW and mean marbling score declined in the months of May and June. The month with the greatest numerical frequency of dark cutters was October (0.74%). Comparison of overall data from in-plant carcass and instrument grading assessments revealed close alignment of information, especially for YG (3.1 for in-plant assessment versus 3.1 for instrument grading) and marbling (Small for in-plant assessment versus Small for instrument grading). These findings allow the beef industry access to the greatest volume of beef value-determining characteristics for the U.S. fed steer and heifer population than ever reported, resulting in potentially more precise targeting of future quality and consistency efforts.
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11
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Boykin CA, Eastwood LC, Harris MK, Hale DS, Kerth CR, Griffin DB, Arnold AN, Hasty JD, Belk KE, Woerner DR, Delmore RJ, Martin JN, VanOverbeke DL, Mafi GG, Pfeiffer MM, Lawrence TE, McEvers TJ, Schmidt TB, Maddock RJ, Johnson DD, Carr CC, Scheffler JM, Pringle TD, Stelzleni AM, Gottlieb J, Savell JW. National Beef Quality Audit-2016: In-plant survey of carcass characteristics related to quality, quantity, and value of fed steers and heifers. J Anim Sci 2017; 95:2993-3002. [PMID: 28727109 DOI: 10.2527/jas.2017.1543] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The National Beef Quality Audit (NBQA)-2016 used in-plant cooler assessments to benchmark the current status of the fed steer and heifer beef industry in the United States. In-plant cooler assessments ( = 9,106 carcasses) were conducted at 30 facilities, where approximately 10% of a single day's production were evaluated for USDA quality grade (QG) and yield grade (YG) factors. Frequencies of evaluated traits were 66.5% steer and 33.4% heifer sex classes and 82.9% native, 15.9% dairy-type, and 1.2% estimated breed types. Mean USDA YG factors were 1.42 cm for adjusted fat thickness, 89.5 cm for LM area, 390.3 kg for HCW, and 1.9% for KPH. Mean USDA YG was 3.1, with a frequency distribution of 9.6% YG 1, 36.7% YG 2, 39.2% YG 3, 12.0% YG 4, and 2.5% YG 5. Mean USDA QG traits were Small for marbling score, A for overall maturity, A55 for lean maturity, and A for skeletal maturity. Mean USDA QG was Select with a frequency distribution of QG of 3.8% Prime, 67.3% Choice, 23.2% Select, and 5.6% lower score. Lower score included dark cutter (1.9%), blood splash (0.1%), and hard bone, which are USDA overall maturity scores of C or older (1.8%). Marbling score distributions were 0.85% Slightly Abundant or greater, 7.63% Moderate, 23.54% Modest, 39.63% Small, 23.62% Slight, and 0.83% Traces or less. Carcasses that were Choice or Select and USDA YG 2 or 3 accounted for 70.7% of the carcasses evaluated. Compared with the previous NBQA, we found a numerical increase in mean USDA YG, USDA QG, adjusted fat thickness, HCW, LM area, and marbling score with an increase in dairy-type carcasses and percentage of carcasses grading USDA Prime and Choice as well as frequency of USDA YG 4 and 5. The findings from this study will be used by all segments of the industry to understand and improve the quality of fed steer and heifer beef that is being produced.
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12
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Eastwood LC, Boykin CA, Harris MK, Arnold AN, Hale DS, Kerth CR, Griffin DB, Savell JW, Belk KE, Woerner DR, Hasty JD, Delmore RJ, Martin JN, Lawrence TE, McEvers TJ, VanOverbeke DL, Mafi GG, Pfeiffer MM, Schmidt TB, Maddock RJ, Johnson DD, Carr CC, Scheffler JM, Pringle TD, Stelzleni AM. National Beef Quality Audit-2016: Transportation, mobility, and harvest-floor assessments of targeted characteristics that affect quality and value of cattle, carcasses, and by-products. Transl Anim Sci 2017; 1:229-238. [PMID: 32704647 PMCID: PMC7250433 DOI: 10.2527/tas2017.0029] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Accepted: 04/17/2017] [Indexed: 11/29/2022] Open
Abstract
The National Beef Quality Audit-2016 (NBQA-2016) was conducted to assess current transportation, mobility, and quality characteristics of U.S. fed steers and heifers. Data were collected at 17 beef processing facilities between March and November 2016. About 8,000 live cattle were evaluated for transportation and mobility, and about 25,000 carcasses were evaluated on the slaughter floor. Cattle were in transit to the slaughter facility for a mean duration of 2.7 h from a mean distance of 218.5 km using trailers with dimensions ranging from 17.84 m2 to 59.09 m2. Area allotted per animal averaged 1.13 m2 and ranged from 0.85 m2 to 2.28 m2. A total of 96.8% of cattle received a mobility score of 1 (walks easily, no apparent lameness). Identification types (35.1% had multiple) were lot visual tags (61.5%), individual tags (55.0%), electronic tags (16.9%), metal-clip tags (9.2%), bar-coded tags (0.05%), wattles (0.01%), and other (2.6%). Cattle were black-hided (57.8%), Holstein (20.4%), red-hided (10.5%), yellow-hided (4.8%), gray-hided (2.9%), brown-hided (1.3%), and white-hided (1.1%). Unbranded hides were observed on 74.3% of cattle; 18.6% had brands located on the butt, 6.3% on the side, and 1.3% on the shoulder (values exceed 100% due to multiple brands). For hide-on carcasses, 37.7% displayed no mud or manure; specific locations for mud or manure were legs (40.8%), belly (33.0%), tail region (15.5%), side (6.8%), and top-line (3.9%). Cattle without horns represented 83.3% of the sample, and cattle that did have horns measured: < 2.54 cm (5.5%), 2.54 to 12.7 cm (8.3%), and > 12.7 cm (2.9%). Carcasses without bruises represented 61.1% of those sampled, whereas 28.2% had 1, 8.2% had 2, 2.1% had 3, and 0.3% had 4 bruises. Of those carcasses with a bruise, the bruise was located on the loin (29.7%), round (27.8%), chuck (16.4%), rib (14.4%), and brisket/plate/flank (11.6%). Frequencies of offal condemnations were livers (30.8%), lungs (18.2%), viscera (16.3%), hearts (11.1%), heads (2.7%), and tongues (2.0%). Compared to NBQA-2011, fewer cattle were identified for traceability, fewer were black-hided, a greater number were Holstein cattle, more with no brand and no horns, fewer without bruises, more liver, lung, and viscera condemnations, and fewer heads and tongues were condemned. The NBQA remains an influential survey for the U.S. beef industry to provide benchmarks and strategic plans for continued improvement of beef quality and consistency.
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Affiliation(s)
- L C Eastwood
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station 77843
| | - C A Boykin
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station 77843
| | - M K Harris
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station 77843
| | - A N Arnold
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station 77843
| | - D S Hale
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station 77843
| | - C R Kerth
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station 77843
| | - D B Griffin
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station 77843
| | - J W Savell
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station 77843
| | - K E Belk
- Department of Animal Sciences, Colorado State University, Fort Collins 80523
| | - D R Woerner
- Department of Animal Sciences, Colorado State University, Fort Collins 80523
| | - J D Hasty
- Department of Animal Sciences, Colorado State University, Fort Collins 80523
| | - R J Delmore
- Department of Animal Sciences, Colorado State University, Fort Collins 80523
| | - J N Martin
- Department of Animal Sciences, Colorado State University, Fort Collins 80523
| | - T E Lawrence
- Beef Carcass Research Center, Department of Agricultural Sciences, West Texas A&M University, Canyon 79016
| | - T J McEvers
- Beef Carcass Research Center, Department of Agricultural Sciences, West Texas A&M University, Canyon 79016
| | - D L VanOverbeke
- Department of Animal Science, Oklahoma State University, Stillwater 74078
| | - G G Mafi
- Department of Animal Science, Oklahoma State University, Stillwater 74078
| | - M M Pfeiffer
- Department of Animal Science, Oklahoma State University, Stillwater 74078
| | - T B Schmidt
- Department of Animal Science, University of Nebraska-Lincoln, Lincoln 68583
| | - R J Maddock
- Department of Animal Sciences, North Dakota State University, Fargo 58108
| | - D D Johnson
- Department of Animal Sciences, University of Florida, Gainesville 32611
| | - C C Carr
- Department of Animal Sciences, University of Florida, Gainesville 32611
| | - J M Scheffler
- Department of Animal Sciences, University of Florida, Gainesville 32611
| | - T D Pringle
- Department of Animal & Dairy Science, University of Georgia, Athens 30602
| | - A M Stelzleni
- Department of Animal & Dairy Science, University of Georgia, Athens 30602
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13
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Tait RG, Shackelford SD, Wheeler TL, King DA, Keele JW, Casas E, Smith TPL, Bennett GL. CAPN1, CAST, and DGAT1 genetic effects on preweaning performance, carcass quality traits, and residual variance of tenderness in a beef cattle population selected for haplotype and allele equalization1,2,3,4. J Anim Sci 2014; 92:5382-93. [DOI: 10.2527/jas.2014-8211] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Affiliation(s)
- R. G. Tait
- USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE 68933-0166
| | - S. D. Shackelford
- USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE 68933-0166
| | - T. L. Wheeler
- USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE 68933-0166
| | - D. A. King
- USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE 68933-0166
| | - J. W. Keele
- USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE 68933-0166
| | - E. Casas
- USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE 68933-0166
| | - T. P. L. Smith
- USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE 68933-0166
| | - G. L. Bennett
- USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE 68933-0166
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14
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Notter DR, Mousel MR, Leeds TD, Zerby HN, Moeller SJ, Lewis GS, Taylor JB. Evaluation of Columbia, U.S. Meat Animal Research Center Composite, Suffolk, and Texel rams as terminal sires in an extensive rangeland production system: VI. Measurements of live-lamb and carcass shape and their relationship to carcass yield and value. J Anim Sci 2014; 92:1980-94. [PMID: 24663175 DOI: 10.2527/jas.2013-7154] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Linear measurements on live lambs and carcasses can be used to characterize sheep breeds and may have value for prediction of carcass yield and value. This study used 512 crossbred lambs produced over 3 yr by mating Columbia, U.S. Meat Animal Research Center (USMARC) Composite, Suffolk, and Texel rams to adult Rambouillet ewes to assess sire-breed differences in live-animal and carcass shape and to evaluate the value of shape measurements as predictors of chilled carcass weight (CCW), weight of high-value cuts (rack, loin, leg, and sirloin; HVW), weight of trimmed high-value cuts (trimmed rack and loin and trimmed, boneless leg and sirloin; TrHVW), and estimated carcass value before (CVal) and after trimming of high-value cuts (TrCVal). Lambs were produced under extensive rangeland conditions, weaned at an average age of 132 d, fed a concentrate diet in a drylot, and harvested in each year in 3 groups at target mean BW of 54, 61, and 68 kg. Canonical discriminant analysis indicated that over 93% of variation among sire breeds was accounted for by the contrast between tall, long, less-thickly muscled breeds with greater BW and CCW (i.e., the Columbia and Suffolk) compared with shorter, more thickly muscled breeds with smaller BW and CCW. After correcting for effects of year, harvest group, sire breed, and shipping BW, linear measurements on live lambs contributed little to prediction of CCW. Similarly, after accounting for effects of CCW, linear measurements on live animals further reduced residual SD (RSD) of dependent variables by 0.2 to 5.7%, with generally positive effects of increasing live leg width and generally negative effects of increasing heart girth. Carcass measurements were somewhat more valuable as predictors of carcass merit. After fitting effects of CCW, additional consideration of carcass shape reduced RSD by 2.1, 3.6, 9.5, and 2.2% for HVW, TrHVW, CVal, and TrCVal, respectively. Effects of increasing carcass leg width were positive for HVW, TrHVW, and TrCVal. We also observed positive effects of increasing carcass length on TrCVal and negative effects of increasing cannon bone length on HVW and CVal. Increasing shoulder width had positive effects on CVal but negative effects on TrHVW. Differences in lamb and carcass shape were significantly associated with carcass yield and value, but the additional accuracy associated with use of these measurements was modest relative to that achieved from use of only shipping BW or CCW.
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Affiliation(s)
- D R Notter
- Department of Animal and Poultry Sciences, Virginia Tech, Blacksburg 24061
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15
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Tait RG, Shackelford SD, Wheeler TL, King DA, Casas E, Thallman RM, Smith TPL, Bennett GL. µ-Calpain, calpastatin, and growth hormone receptor genetic effects on preweaning performance, carcass quality traits, and residual variance of tenderness in Angus cattle selected to increase minor haplotype and allele frequencies1,2,3. J Anim Sci 2014; 92:456-66. [DOI: 10.2527/jas.2013-7075] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- R. G. Tait
- USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE 68933-0166
| | - S. D. Shackelford
- USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE 68933-0166
| | - T. L. Wheeler
- USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE 68933-0166
| | - D. A. King
- USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE 68933-0166
| | - E. Casas
- USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE 68933-0166
| | - R. M. Thallman
- USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE 68933-0166
| | - T. P. L. Smith
- USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE 68933-0166
| | - G. L. Bennett
- USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE 68933-0166
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16
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Nicholson JD, Nicholson KL, Frenzel LL, Maddock RJ, Delmore RJ, Lawrence TE, Henning WR, Pringle TD, Johnson DD, Paschal JC, Gill RJ, Cleere JJ, Carpenter BB, Machen RV, Banta JP, Hale DS, Griffin DB, Savell JW. Survey of transportation procedures, management practices, and health assessment related to quality, quantity, and value for market beef and dairy cows and bulls1. J Anim Sci 2013; 91:5026-36. [DOI: 10.2527/jas.2013-6283] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- J. D.W. Nicholson
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station 77843-2471
| | - K. L. Nicholson
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station 77843-2471
| | - L. L. Frenzel
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station 77843-2471
| | - R. J. Maddock
- Department of Animal Sciences, North Dakota State University, Fargo 58105-6050
| | - R. J. Delmore
- Department of Animal Science, California Poly Technical University, San Luis Obispo 93407
| | - T. E. Lawrence
- Department of Agricultural Sciences, West Texas A&M University, Canyon 79016
| | - W. R. Henning
- Department of Animal Science, Pennsylvania State University, University Park 16802
| | - T. D. Pringle
- Animal and Dairy Science Department, University of Georgia, Athens 30602
| | - D. D. Johnson
- Department of Animal Science, University of Florida, Gainesville 32611
| | - J. C. Paschal
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station 77843-2471
| | - R. J. Gill
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station 77843-2471
| | - J. J. Cleere
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station 77843-2471
| | - B. B. Carpenter
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station 77843-2471
| | - R. V. Machen
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station 77843-2471
| | - J. P. Banta
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station 77843-2471
| | - D. S. Hale
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station 77843-2471
| | - D. B. Griffin
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station 77843-2471
| | - J. W. Savell
- Department of Animal Science, Texas A&M AgriLife Research, Texas A&M University, College Station 77843-2471
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