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Bohrer BM, Dorleku JB, Campbell CP, Duarte MS, Mandell IB. A comparison of carcass characteristics, carcass cutting yields, and meat quality of barrows and gilts. Transl Anim Sci 2023; 7:txad079. [PMID: 37649648 PMCID: PMC10464715 DOI: 10.1093/tas/txad079] [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: 01/16/2023] [Accepted: 07/10/2023] [Indexed: 09/01/2023] Open
Abstract
Objectives of this research were to compare carcass characteristics, carcass cutting yields, and meat quality for market barrows and market gilts. Commercially-sourced carcasses from 168 market barrows and 175 market gilts weighing an average of 107.44 ± 7.37 kg were selected from 17 different slaughter groups representing approximately 3,950 carcasses. Each group was sorted into percentiles based on hot carcass weight with an equal number of barrows and gilts selected from each quartile so that weight minimally confounded parameters of interest. Carcass lean yield was determined for carcasses following fabrication (i.e. dissection of lean, fat, and bone tissue components) and meat quality measurements were evaluated at the time of fabrication (24 to 72 h postmortem) and following 14-d of postmortem storage. Data were analyzed as a randomized complete block design with carcass serving as the experimental unit, sex (barrow or gilt), the three hot carcass weight quantiles (light [<104 kg]; average [104 to 110 kg]; heavy [>110 kg]), and the interaction between sex and hot carcass weight quantile serving as fixed effects, and producer nested within slaughter event serving as a random effect. Results from the study demonstrated that gilt carcasses were leaner (3 mm less backfat thickness; 3.5 cm2 greater loin muscle area, 1.52% greater merchandized-cut yield, and 2.92% greater dissected carcass lean yield; P < 0.01) than barrow carcasses, while loins from barrows were higher quality (0.43% more intramuscular fat and slightly less shear force; P < 0.01) than loins from gilts. While this study confirms the well-known biological principle that barrow carcasses have greater levels of fat deposition and lower levels of carcass leanness when compared with gilt carcasses, this study provides a much-needed quantification of these differences for the commercial industry that will undoubtedly be useful as new technologies emerge in upcoming years.
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Affiliation(s)
- Benjamin M Bohrer
- Department of Animal Sciences, The Ohio State University, Columbus, Ohio 43210, USA
| | - Justice B Dorleku
- Department of Food Science, University of Guelph, Guelph, ON, CanadaN1G 2W1
| | - Cheryl P Campbell
- Department of Animal Biosciences, University of Guelph, Guelph, ON, CanadaN1G 2W1
| | - Marcio S Duarte
- Department of Animal Biosciences, University of Guelph, Guelph, ON, CanadaN1G 2W1
| | - Ira B Mandell
- Department of Animal Biosciences, University of Guelph, Guelph, ON, CanadaN1G 2W1
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Prom CM, Engstrom MA, Drackley JK. Effects of prepartum supplementation of β-carotene on colostrum and calves. J Dairy Sci 2022; 105:8839-8849. [PMID: 36175221 DOI: 10.3168/jds.2022-22210] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 06/28/2022] [Indexed: 11/19/2022]
Abstract
Little is known about transfer of dietary β-carotene into colostrum, its absorption by the calf, and its effects on retinol and α-tocopherol in the calf when the dam's dietary vitamin A is adequate. Our objective was to assess the effect of β-carotene supplementation during the close-up dry period on the colostrum and calf. The study was conducted on a large commercial dairy farm in Indiana during early summer of 2015. Ninety-four multiparous Holstein cows were blocked by calving data, parity, and previous production, and then randomly assigned to either control or β-carotene (BC) treatments. While locked in headgates each morning, each cow received a topdress of β-carotene (Rovimix, DSM Nutritional Products, 8 g/d; provided 800 mg β-carotene) or carrier from 21 d before expected calving until calving. Colostrum was collected within 2 h of parturition. Calf blood samples were obtained within 2 h of birth before receiving the dam's colostrum, at 24 h after birth, and at 7 d and 60 d of age. Blood serum was analyzed for β-carotene, retinol, α-tocopherol, and other metabolites and enzymes. Colostrum was analyzed for β-carotene, retinol, α-tocopherol, colorimetry profile, and milk components. Data were analyzed using mixed-effects models in SAS (SAS Institute Inc.). Calf serum β-carotene data were analyzed using the FREQ procedure. Colostrum β-carotene was higher for BC cows. Colostrum from BC cows had increased a* [measures red (positive) to green (negative)] and b* [measures yellow (positive) to blue (negative)] colorimeter values, indicating that β-carotene altered colostrum color toward red and yellow. Supplementation did not affect colostral or calf IgG concentrations. Colostrum color indices were correlated with IgG concentrations as well as concentrations of β-carotene, retinol, and α-tocopherol. Before receiving colostrum, the concentration of β-carotene in calf serum was below the detectable threshold of 0.05 μg/mL. At 24 h of age, the number of calves with detectable β-carotene concentrations increased, with more calves from BC cows (52.1%) having detectable concentrations than calves from cows in the control group (6.1%). No differences in concentrations of retinol or α-tocopherol were observed in calf serum. Supplementation of β-carotene to cows decreased activities of gamma-glutamyl transpeptidase and glutamate dehydrogenase in calf serum. In pregnant cows already receiving adequate vitamin A, supplementation of β-carotene increased concentration of β-carotene in colostrum, altered colostrum color, and increased serum β-carotene in calves at birth.
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Affiliation(s)
- C M Prom
- Department of Animal Sciences, University of Illinois, Urbana 61801
| | - M A Engstrom
- DSM Nutritional Products, LLC, Parsippany, NJ 07054
| | - J K Drackley
- Department of Animal Sciences, University of Illinois, Urbana 61801.
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Zhou Z, Bohrer B. Defining pig sort loss with a simulation of various marketing options of pigs with the assumption that marketing cuts improve variation in carcass weight and leanness. CANADIAN JOURNAL OF ANIMAL SCIENCE 2019. [DOI: 10.1139/cjas-2018-0195] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Affiliation(s)
- Z.Y. Zhou
- Department of Food Science, University of Guelph, Guelph, ON N1G 2W1, Canada
- Department of Food Science, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - B.M. Bohrer
- Department of Food Science, University of Guelph, Guelph, ON N1G 2W1, Canada
- Department of Food Science, University of Guelph, Guelph, ON N1G 2W1, Canada
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Lowell JE, Schunke ED, Harsh BN, Bryan EE, Overholt MF, Stahl CA, Dilger AC, Boler DD. Correlation comparisons among early postmortem loin quality and aged loin and pork chop quality characteristics between finishing pigs from either Duroc or Pietrain sires. J Anim Sci 2018; 96:4644-4657. [PMID: 30085155 PMCID: PMC6247862 DOI: 10.1093/jas/sky315] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Accepted: 08/03/2018] [Indexed: 11/14/2022] Open
Abstract
Today, the United States exports 2.2 million tons of pork and pork products annually, representing just over 26% of U.S. pork production. In order to meet specific demands of a growing export market, pork quality and carcass characteristics are now integrated into breeding objectives. Color and marbling are 2 loin quality traits that influence consumer acceptability of pork and while correlations between early and aged ventral quality have been established, it is unclear if those correlations differ between production objectives (meat quality vs. lean growth). Therefore, the objective of this experiment was to compare correlations among early postmortem ventral loin quality characteristics and aged ventral loin and chop quality characteristics between pigs sired by either Pietrain (lean growth) or Duroc (meat quality) boars. Early postmortem (~1 d) quality traits included: instrumental and visual color, marbling and firmness, and loin pH on the ventral surface of the loin. Loins were aged until 14 d postmortem in vacuum packages. Aged quality traits included traits evaluated early as well as Warner-Bratzler shear force (WBSF) and cook loss. Correlations were compared between Pietrain and Duroc-sired pigs using a Fisher's z-test. Early instrumental lightness (L*) was moderately correlated with aged ventral L* (Pietrain r = 0.47; Duroc r = 0.65) and aged ventral visual color (Pietrain r = 0.42; Duroc r = 0.58). Early ventral visual color was moderately correlated with aged chop L* (Pietrain r = 0.46; Duroc r = 0.60) and aged chop visual color (Pietrain r = 0.45; Duroc r = 0.57). Early visual marbling was strongly correlated (Pietrain r = 0.68; Duroc r = 0.84) with aged chop visual marbling. Within the Duroc-sired pigs, early L* was moderately correlated with aged chop L* (r = 0.64) but only weakly correlated (r = 0.35) within the Pietrain-sired pigs and those correlations differed at P ≤0.02. Within the Duroc-sired pigs, early ventral visual color was moderately correlated with aged pH (r = 0.44) and aged ventral L* (r = 0.57) but only weakly correlated (r ≤ 0.29) within the Pietrain-sired pigs and those correlations differed at P ≤0.03. No early postmortem quality traits were correlated (|r| ≤ 0.34) with WBSF or cook loss for either sire line. In summary, correlations between early and aged postmortem quality traits rarely differed between Duroc- and Pietrain-sired pigs. It is not necessary to account for sire line when relating early and aged quality characteristics.
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Affiliation(s)
- Jessica E Lowell
- Department of Animal Sciences, University of Illinois, Urbana-Champaign, IL
| | - Emily D Schunke
- Department of Animal Sciences, University of Illinois, Urbana-Champaign, IL
| | - Bailey N Harsh
- Department of Animal Sciences, University of Illinois, Urbana-Champaign, IL
| | - Erin E Bryan
- Department of Animal Sciences, University of Illinois, Urbana-Champaign, IL
| | - Martin F Overholt
- Department of Animal Sciences, University of Illinois, Urbana-Champaign, IL
| | | | - Anna C Dilger
- Department of Animal Sciences, University of Illinois, Urbana-Champaign, IL
| | - Dustin D Boler
- Department of Animal Sciences, University of Illinois, Urbana-Champaign, IL
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Harsh BN, Arkfeld EK, Mohrhauser DA, King DA, Wheeler TL, Dilger AC, Shackelford SD, Boler DD. Effect of hot carcass weight on loin, ham, and belly quality from pigs sourced from a commercial processing facility,. J Anim Sci 2017; 95:4958-4970. [PMID: 29293702 PMCID: PMC6357800 DOI: 10.2527/jas2017.1674] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Accepted: 08/29/2017] [Indexed: 11/13/2022] Open
Abstract
The objective was to determine the predictive abilities of HCW for loin, ham, and belly quality of 7,684 pigs with carcass weights ranging from 53.2 to 129.6 kg. Carcass composition, subjective loin quality, and ham face color were targeted on all carcasses, whereas in-plant instrumental loin color and belly quality were assessed on 52.0 and 47.5% of carcasses, respectively. Loin chop slice shear force (SSF), cured ham quality, and adipose iodine value (IV) were evaluated on at least 10% of the population. The slope of regression lines and coefficients of determination between HCW and quality traits were computed using PROC REG of SAS and considered significant at ≤ 0.05. As HCW increased, boneless loins became darker and redder, evidenced by lower L* (β = -0.0243, < 0.001) and greater a* values (β = 0.0106, < 0.001); however, HCW accounted for only ≤0.80% of the variability in loin L* and a* values. Similarly, subjective loin color score (β = 0.0024, < 0.001) increased with increasing carcass weight, but subjective marbling score was not affected by HCW (β = -0.0022, = 0.06). After 20 d of aging, HCW explained only 0.98% of the variability in loin L* values (β = -0.0287, < 0.01). Heavier carcasses had lower SSF values (β = -0.1269, < 0.001) of LM chops, although HCW explained only 4.46% of the variability in SSF. Although heavier carcasses produced loins that exhibited lower ultimate pH values (β = -0.0018, < 0.001), HCW explained only 1.23% of the variability in ultimate loin pH. Interestingly, cook loss decreased (β = -0.0521, < 0.001) as HCW increased, with HCW accounting for 5.60% of the variability in cook loss. Heavier carcasses resulted in darker, redder ham face color ( < 0.001), but HCW accounted for only ≤2.87% of the variability in ham face L* values and 0.47% of the variability in a* values. Heavier carcasses produced thicker and firmer bellies, with HCW accounting for 37.81% of the variability in belly thickness (β = 0.0272, < 0.001), 20.35% of the variability in subjective flop score (β = 0.0406, < 0.001), and 10.35% of the variability in IV (β = -0.1263, < 0.001). Overall, the proportion of variability in loin and ham quality explained by HCW was poor (≤5.60%), suggesting that HCW is a poor predictor of the primal quality of pigs within this weight range. Nonetheless, HCW was a moderate predictor of belly quality traits. The findings of this study suggest that increasing HCW did not compromise loin, ham, or belly quality attributes.
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Affiliation(s)
- B. N. Harsh
- Department of Animal Sciences, University of Illinois, Urbana-Champaign
61801
| | - E. K. Arkfeld
- Department of Animal Sciences, University of Illinois, Urbana-Champaign
61801
| | | | - D. A. King
- USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE 68933
| | - T. L. Wheeler
- USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE 68933
| | - A. C. Dilger
- Department of Animal Sciences, University of Illinois, Urbana-Champaign
61801
| | | | - D. D. Boler
- Department of Animal Sciences, University of Illinois, Urbana-Champaign
61801
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