Muscle protein changes post mortem in relation to pork quality traits

Meat Science ◽  
1997 ◽  
Vol 45 (3) ◽  
pp. 339-352 ◽  
Author(s):  
R.D. Warner ◽  
R.G. Kauffman ◽  
M.L. Greaser
Foods ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 3115
Author(s):  
Verónica Sierra ◽  
Laura González-Blanco ◽  
Yolanda Diñeiro ◽  
Fernando Díaz ◽  
María Josefa García-Espina ◽  
...  

This study investigated the effect of different cattle management strategies at farm (Intensive vs. Extensive) and during transport and lairage (mixing vs. non-mixing with unfamiliar animals) on the myofibrillar subproteome of Longissimus thoracis et lumborum (LTL) muscle of “Asturiana de los Valles” yearling bulls. It further aimed to study the relationships with beef quality traits including pH, color, and tenderness evaluated by Warner–Bratzler shear force (WBSF). Thus, comparative proteomics of the myofibrillar fraction along meat maturation (from 2 h to 14 days post-mortem) and different quality traits were analyzed. A total of 23 protein fragments corresponding to 21 unique proteins showed significant differences among the treatments (p < 0.05) due to any of the factors considered (Farm, Transport and Lairage, and post-mortem time ageing). The proteins belong to several biological pathways including three structural proteins (MYBPC2, TNNT3, and MYL1) and one metabolic enzyme (ALDOA) that were affected by both Farm and Transport/Lairage factors. ACTA1, LDB3, and FHL2 were affected by Farm factors, while TNNI2 and MYLPF (structural proteins), PKM (metabolic enzyme), and HSPB1 (small Heat shock protein) were affected by Transport/Lairage factors. Several correlations were found between the changing proteins (PKM, ALDOA, TNNI2, TNNT3, ACTA1, MYL1, and CRYAB) and color and tenderness beef quality traits, indicating their importance in the determination of meat quality and their possible use as putative biomarkers.


2019 ◽  
Vol 3 (2) ◽  
Author(s):  
H. Price ◽  
A. B. Lerner ◽  
E. A. Rice ◽  
J. E. Lowell ◽  
B. N. Harsh ◽  
...  

ObjectivesBetween 1995 and 2018, average hot carcass weight of U.S. pork carcasses increased from 82 kg to 96 kg, which is an increase of approximately 17%. At current rates, pork carcasses in the U.S. will weigh on average, 105 kg by the year 2030 and over 118 kg by 2050. Although this represents an increase in throughput efficiency due to increases in economy of scale, projecting continued increases in the future raises some concerns. Therefore, the objective was to characterize pork quality of carcasses ranging from 78 to 145 kg with a mean weight of 119 kg.Materials and MethodsCarcass composition, such as hot carcass weight (HCW), back fat depth and loin depth were measured on 666 carcasses. Additionally, loin quality measurements, such as pH, loin instrumental and visual color, and iodine value of clear plate fat were measured on approximately 90% of the total population. Ham quality, 14 d aged loin and chop quality measurements, and loin chop slice shear force (SSF) were evaluated on approximately 30% of the total population. Finally, myosin heavy chain fiber type determination was completed on approximately 50 carcasses selected from carcasses ranging from 97 to 133 kg. The slope of regression lines and coefficients of determination between hot carcass weights and quality traits were calculated using the REG procedure in SAS and considered significantly different from 0 at P ≤ 0.05.ResultsAs HCW increased loin depth (b1 = 0.2496, P < 0.0001), back fat depth (b1 = 0.1374, P < 0.0001), loin weight (b1 = 0.0345, P < 0.0001), chop weight (b1 = 1.6626, P < 0.0001), and ham weight (b1 = 0.1044, P < 0.0001) increased. There was a decrease in estimated lean (b1 = –0.0751, P < 0.0001) and iodine value (b1 = –0.0923, P < 0.0001) as carcass weight increased, however, HCW only accounted for ≤ 24% (R2 = 0.24) of the variation in estimated lean and iodine value. Additionally, there were no significant differences in gluteus medius pH (b1 = 0.0009, P = 0.30) or instrumental lightness (b1 = 0.0301, P = 0.15), redness (b1 = –0.0036, P = 0.73) or yellowness (b1 = 0.0058, P = 0.57) of the ham as carcass weight increased. As carcass weight increased, 1 d loin instrumental yellowness (b*) increased (b1 = 0.0092 P < 0.01), however HCW only explained 1% of the variation in b*. Heavier carcasses were more tender (decreased SSF of chops cooked to 71°C, (b1 = –0.0674, P < 0.0001), although HCW only explained 9% of the variation in SSF. Total cook loss of chops used for SSF determination decreased as HCW increased (b1 = –0.0512, P < 0.0001), and HCW explained 15% (R2 = 0.15) of the variation in total cook loss. There were no significant differences in fiber type percentage, type 1 (b1 = –0.0170, P = 0.81), 2a (b1 = –0.0786, P = 0.23), 2x (b1 = –0.0201, P = 0.80), or 2b (b1 = 0.1224, P = 0.37), or fiber type area, type 1 (b1 = –26.6331, P = 0.22), 2a (b1 = –40.7257, P = 0.07), 2x (b1 = –46.9459, P = 0.25), or 2b (b1 = –26.2537, P = 0.38) as HCW increased.ConclusionDue to the lack of variation explained by HCW (≤ 15%), pork quality traits are not expected to be compromised as HCW continues to increase. The results suggest that increasing HCW to 119 kg did not have detrimental effects on pork quality attributes.


2006 ◽  
Vol 17 (3) ◽  
pp. 237-247 ◽  
Author(s):  
T.M. BERTOL ◽  
M. ELLIS ◽  
M.J. RITTER ◽  
F.K. MCKEITH ◽  
D.N. HAMILTON

2005 ◽  
Vol 28 (1) ◽  
pp. 88-91 ◽  
Author(s):  
Guilherme de Oliveira Band ◽  
Simone Eliza Facioni Guimarães ◽  
Paulo Sávio Lopes ◽  
Alex Sandro Schierholt ◽  
Kleibe Moraes Silva ◽  
...  

2016 ◽  
Vol 36 (1) ◽  
pp. 29-36 ◽  
Author(s):  
Tae Wan Kim ◽  
Chul Wook Kim ◽  
Mi Ra Yang ◽  
Gun Ryoung No ◽  
Sam Woong Kim ◽  
...  
Keyword(s):  

Author(s):  
Tae Wan Kim ◽  
Il-Suk Kim ◽  
Jeongim Ha ◽  
Seul Gi Kwon ◽  
Jung Hye Hwang ◽  
...  

This study was performed to analyze the difference between the meat properties classified into 5 ranges depending on Berkshire meat quality traits. Post-mortem pH24hr was positively correlated with water holding capacity, but negatively correlated with meat color, protein content, drip loss, and cooking loss. Berkshire gilt was discovered by higher population of RFN (reddish pink, firm, non-exudative), a normal meat class when compared to barrow, whereas DFD (dark, firm, and dry) was not detected and PSE (pale, soft and floppy, exudative) and RSE (reddish pink, soft and floppy, exudative) were found by a low number of individuals. It was assumed that Berkshire gilt is less susceptible to stress when compared with barrow. Therefore, from the results of this study, we suggest that Berkshire gilt is high possibility for production of good meat due to a forming ability for better meat quality than that of Berkshire barrow.


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