Abstract
In order to attain heavier live weight without impairing pork or sensory quality characteristics, carcass performance, muscle fiber, pork quality, and sensory quality characteristics were compared among the heavy weight (HW, average live weight of 130.5 kg), medium weight (MW, average weight of 111.1 kg), and light weight (LW, average weight of 96.3 kg) pigs at time of slaughter. The loin eye area was 1.47 times greater in the HW group compared to the LW group (64.0 and 43.5 cm2, p<0.001), while carcass percent was similar between the HW and MW groups (p>0.05). This greater performance by the HW group compared to the LW group can be explained by a greater total number (1,436 vs. 1,188, ×103, p<0.001) and larger area (4,452 vs. 3,716 μm2, p<0.001) of muscle fibers. No significant differences were observed in muscle pH45 min, lightness, drip loss, and shear force among the groups (p>0.05), and higher live weights did not influence sensory quality attributes, including tenderness, juiciness, and flavor. Therefore, these findings indicate that increased live weights in this study did not influence the technological and sensory quality characteristics. Moreover, muscles with a higher number of medium or large size fibers tend to exhibit good carcass performance without impairing meat and sensory quality characteristics.
Keywords: live weight, carcass performance, muscle fiber, meat quality, sensory quality
Introduction
Live weight at slaughter is one of the most important economic factors in pig production (Correa et al., 2006; Kim et al., 2005). In the last few decades, the pork industry has attempted to improve market and carcass weights through genetic selection, improved feeding technology, and more efficient animal production systems (Correa et al., 2006; Kim et al., 2005; Rehfeldt et al., 2008; Serrano et al., 2008). This increased market weight has the benefit of reducing the direct and/or indirect costs to pork producers, slaughterers, and processors by increasing carcass weight and lean meat proportion and by reducing processing loss (Correa et al., 2006; Peloso et al., 2010; Serrano et al., 2008).
Market weights are significantly different between countries and pig breeds. In Italy, pigs are traditionally slaughtered at a heavy weight (between 150 and 160 kg), and live and carcass weights of Iberian pigs average 160 to 180 kg and 134 to 159 kg, respectively (Galian et al., 2009; Serrano et al., 2008). However, these higher live weights at slaughter tend to require longer rearing periods (more than 240 d) and extra economic input (Galian et al., 2009). Alternatively, Yorkshire, Duroc, and Landrace are the traditional pig breeds in pork production in the USA and Korea, and these breeds make up 85 percent of all domestic pigs (United States of Department of Agriculture; USDA, 2016). Market weight in the USA is approximately 118 to 122 kg, and commercial pigs require approximately 180 d to achieve this weight (USDA, 2016). In Korea, the average live weight at slaughter is less (approximately 100 to 110 kg), even though the commercial breeds and age at slaughter are similar to those in the USA (Kim et al., 2005; USDA, 2016). Hence, in the pork industry in Korea, pressure exists to increase market weight and ultimately muscle mass to decrease production costs and be more competitive in both domestic and international markets.
However, increased muscle mass obtained through intense genetic selection and feeding regimes have resulted in concomitant changes in the characteristics of muscle fibers, which are the major components of skeletal muscle (Choi et al., 2013a; Choi et al., 2014; Picard et al., 2006; Rehfeldt et al., 2008; Shin et al., 2015). Generally, animals raised for meat production, such as quail, pigs, and cattle, weigh more and have muscles with a higher percentage of the larger type IIB fibers (fast-twitch and glycolytic) (Choi and Kim, 2009; Choi et al., 2013b; Remignon et al., 1995; Rehfeldt et al., 2000). Extensive increases in muscle fiber area and the proportion of type IIB fibers in the muscle tend to reduce the capacity of the fiber to adapt to activity-induced demands, which in turn have detrimental effects on stress susceptibility, pork quality, and sensory quality characteristics (Barbut et al., 2008; Choi et al., 2013a; Rehfeldt et al., 2008). For example, heavy weight pigs with a higher proportion of type IIB have a higher concentration of lactate and subsequent rapid pH decline in the early postmortem period due to their higher glycolytic capacity (Choi et al., 2007, 2013a), and these factors are associated with a higher incidence rate of pale, soft, and exudative (PSE) pork (Barbut et al., 2008; Ryu and Kim, 2005). While there are many studies investigating the effects of increased live weight at slaughter on growth efficiency, carcass performance, and meat quality characteristics, there are few on muscle fiber and organoleptic characteristics of different market weights of pigs (Correa et al., 2006; Galian et al., 2009; Kim et al., 2005). Therefore, the objective of this study was to compare the carcass, muscle fiber, meat quality, and sensory quality characteristics among the heavy weight (HW, average live weight of 130.5 kg), medium weight (MW, average weight of 111.1 kg), and light weight (LW, average weight of 96.3 kg) groups to identify heavier market weights that do not result in deterioration of meat and sensory quality characteristics.
Materials and Methods
Animals and muscle samples
A total of 86 crossbred pigs (Landrace × Yorkshire × Duroc; 40 gilts and 46 castrated males) were used in the analyses having an average initial age and body weight of 86.0±4.5 d and 37.5±7.9 kg, respectively. All pigs were then transferred to the finishing barns. All pigs were weighed at the beginning and end of the experiment. The environmental conditions to which the pigs were exposed were the same both before and after slaughter. Pigs were reared on a commercial farm in separate pens (10-11 pigs per pen with 0.8 m2 space per pig) and fed the same commercial diet in accordance with the National Research Council nutrient requirements (1998). All pigs were transported to a commercial abattoir under the same handling conditions at a similar age and weight (180.3±5.8 d of age and 106.4±13.4 kg, respectively) and were slaughtered during the winter under the supervision of the Korean grading service for animal products. Transportation and slaughter occurred in 3 lots (30, 30, and 26 pigs per lot) under the same conditions for each lot on the same day.
The slaughterhouse used electrical stunning, and all animals were exsanguinated and then placed in a dehairer at 65℃ for 5 min. The remaining hair was removed with a flame and knife after exiting the dehairer. After evisceration, the carcasses were weighed, and the percent carcass weight was calculated as the proportion of live weight to the carcass weight × 100. Loin eye area was measured at the level of the last rib. Backfat thickness was measured at the 11th and last thoracic vertebrae, and the mean of these two measurements was calculated.
At 45 min postmortem, muscle samples were taken from the longissimus dorsi muscles at the 7th and 8th thoracic vertebrae to determine muscle pH (pH45 min). At the same time, muscle samples were cut into 0.5 × 0.5 × 1.0 cm3 pieces, immediately frozen in liquid nitrogen, and then stored at −80℃ for the analysis of muscle fiber characteristics. After 24 h postmortem in a 4℃ cold room, pork loins were removed for meat quality measurements, and samples of the loins were frozen and stored at −20℃ for analysis of the sensory characteristics of the cooked pork.
Histochemical analysis
Serial transverse skeletal muscle sections (10 μm) were cut in a cryostat (CM1860, Leica, Germany) at −25℃ and mounted onto glass slides. Myosin ATPase activity of the samples was detected following both acidic (pH 4.6) and alkaline (pH 10.7) pre-incubation (Lind and Kernell, 1991). Muscle fibers were classified as type I, IIA, or IIB using the nomenclature system of Brooke and Kaiser (1970). Stained muscle sections from each sample were examined via image analysis (Image Pro-Plus, Media Cybernetics, USA). Approximately 600 fibers were measured per sample. The average area of the muscle fibers was calculated as the total muscle area divided by the total number of fibers. The area of type I, IIA, and IIB fibers was determined, and the percent area of each fiber type was calculated as the proportion of the total cross-sectional area of each fiber type divided by the total area of the fibers × 100. The percent number of each fiber type was calculated as the proportion of the total number of each fiber type divided by the total number of fibers × 100. The total number of fibers was determined by multiplying muscle fiber density by the loin eye area.
Meat quality characteristics
To estimate the postmortem glycolytic rate, muscle pH at 45 min (pH45 min) and 24 h (pH24 h) postmortem was measured by directly inserting a spear-type portable pH meter (IQ-150 pH meter and PH77-SS probe, IQ Scientific Instruments Inc., USA) into the carcasses at the 8th and 9th thoracic vertebrae.
At 24 h postmortem, meat color was measured with a Minolta Chroma Meter (CR-400, Minolta Camera Co., Japan) after exposing its surface to the air for 30 min at 4℃. Results were expressed as Commission Internationale de l’Eclairage (1978) lightness (L*), redness (a*), and yellowness (b*) values. The average of triplicate measurements was used. Regarding water holding capacity (WHC), drip loss, filter-paper fluid uptake (FFU), and cooking loss were measured. To determine drip loss, samples of approximately 80 g were trimmed and weighed. Each sample was then placed in 25 cm2 of square netting and suspended in an inflated plastic bag for 48 h at 4℃ (ensuring that the sample did not make contact with the bag), after which time it was re-weighed (Honikel, 1998). Drip loss was calculated as the percent weight change (Honikel, 1998). For FFU and cooking loss measurements, pork loin samples were cut into 2 cm thick chops. To measure FFU (Kauffman et al., 1986), filter paper (Whatman® qualitative filter paper, Grade 2, 42.5 mm diameter) was pre-weighed, placed on the surface of a chop for less than 2 s to absorb fluids, and then weighed again. FFU was expressed as mg of exudates absorbed by the filter paper. The samples were then put in thin-walled polyethylene bags and placed in a continuously boiling water bath (80℃) until the internal temperature (measured using a thermometer with a handled probe; TES-1300, TES Electrical Electronic Corp., Taiwan) reached 71℃. Pork samples were then cooled in ice water for 15 min. The cooled samples were taken from the polyethylene bag, blotted dry, and weighed. Cooking loss was calculated as the difference between pre- and post-cooking weights (Honikel, 1998). Preparation of cooked meat samples for Warner-Bratzler shear force (WBS) was the same as that for cooking loss, and WBS was performed with six to ten cores (1.27 cm diameters) removed from the steak parallel to the longitudinal orientation of the muscle fibers. WBS was determined using an Instron Universal Testing Machine (Model 1011, Instron Corp., USA) equipped with a Warner-Bratzler shearing device. Subjective measures for color (1 to 6, pale pinkish-gray to dark purplish-red) and marbling (1 to 10, 1% to 10% intramuscular fat) were evaluated according to National Pork Producers Council (NPPC, 2000).
Sensory evaluation
Each of the 86 pork samples was evaluated twice, and 18 sessions of 10 samples tested per session were conducted. A sensory panel consisting of 12 pork-consuming individuals (20 to 40 years of age, 6 females and 6 males) was employed to evaluate the sensory attributes of the cooked pork. All training and testing were conducted at the Kyungpook National University. Before sensory evaluation, all panelists were trained for a minimum of 6 mon (3 times per wk) and up to 1 h in each training session. Panelist training was performed according to the American Meat Science Association guidelines (AMSA, 1995) and previously published procedures (Meilgaard et al., 1991).
Samples were thawed overnight at 4℃ and then cooked in a humid heat oven (MCS312CF4, Electrolux, Sweden) set to 180℃ until reaching an internal temperature of 71℃, as measured by a TES-1300 thermometer (TES Electrical Electronic Co., Taiwan). Samples were then immediately sliced into 1.3 × 1.3 × 1.3 cm pieces, which were subsequently randomly selected to minimize bias. Samples were placed in 1-ounce lidded glass jar labeled with random three-digit codes and held in a water bath (54℃) until presented to the panelists. The samples were presented simultaneously to the judges in a compartmented plate. There was an interval of approximately 5 min between the evaluations of consecutive samples. During sensory evaluation, panelists were positioned in private booths under incandescent light, and served distilled water (at room temperature) and salt-free crackers before the first sample and between samples to cleanse their mouths.
Cooked samples were evaluated for softness (the force required to compress the meat between the molar teeth; 1=very hard, 9=very soft), initial tenderness (the force required to chew 3 times after initial compression; 1=very tough, 9=very tender), chewiness (the energy required at the 9th chew to swallow at a constant rate; 1=very chewy, 9=very tender), rate of breakdown (the number of chews required for the sample to disintegrate during the mastication process in preparation for swallowing; 1=very slow, 9=very fast), mouth coating (the amount of oil/fat left in the mouth surface; 1=none, 9=very high), amount of perceptible residue (the amount of connective tissue remaining upon complete disintegration of the sample; 1=abundant, 9=none), juiciness (the amount of moisture released after 5 chews; 1=not juicy, 9=extremely juicy), flavor intensity (the intensity of pork flavor after 8 chews; 1=no pork flavor, 9=full pork flavor), and off-flavor intensity (the intensity of any flavor or aftertaste perceived as inappropriate to cooked pork; 1=very strong, 9=very weak) (AMSA, 1995; Meilgaard et al., 1991).
Statistical analysis
Cluster analysis was conducted using the FASTCLUS procedure in SAS (2009) to classify the pigs into groups of live weight, resulting in 3 clusters (Groups Light, Medium, and Heavy). After classification, the general linear model (GLM) procedure was applied to assess the association between groups and traits. No significant differences were observed for any variable between genders or lots. Significance was set at 5%. The results for the groups are presented as least squares means with standard errors.
Results
Carcass characteristics
Carcass characteristics for each live weight group are presented in Table 1. There was no significant difference in the age at slaughter among the groups. Live weight (p<0.001) and average daily gain (p<0.001, data not shown) were approximately 1.4 times heavier in the HW group compared to the LW group. Carcass weight was also greater in the HW group compared to the MW and LW groups (95.5, 82.0, and 70.6 kg, respectively; p<0.001), even though no significant difference was observed in the proportion of carcass weight relative to live weight. Moreover, the HW group had greater loin eye area than both the MW and LW groups (64.0, 51.2, and 43.5 cm2, respectively; p<0.001) as well as backfat thickness (22.8, 16.4, and 13.7 mm, respectively; p<0.001).
Table 1. Live weight and carcass characteristics in groups defined by the live weight.
| Live weight |
Level of significance | |||
|---|---|---|---|---|
| Light (N=44) | Medium (N=26) | Heavy (N=16) | ||
| Age at slaughter (d) | 179.3 (0.88)1 | 181.3 (1.14) | 181.1 (1.56) | NS |
| Live weight at slaughter (kg) | 96.3c (0.08) | 111.1b (1.07) | 130.5a (1.45) | *** |
| Carcass weight (kg) | 70.6c (0.90) | 82.0b (1.17) | 95.5a (1.59) | *** |
| Carcass percentage (%) | 73.4 (0.56) | 74.4 (0.74) | 72.4 (0.90) | NS |
| Loin eye area (cm2) | 43.5c (1.31) | 51.2b (1.64) | 64.0a (2.23) | *** |
| Backfat thickness (mm) | 13.7c (0.79) | 16.4b (1.04) | 22.8a (1.42) | *** |
1Standard error of least square means.
Levels of significance: NS, not significant; ***p<0.001.
Values with different lowercase superscripts within a row refer to significant differences between those groups (p<0.05).
Muscle fiber characteristics
There were marked differences in muscle fiber area among the groups (Table 2). The HW group exhibited a greater mean fiber area compared to the MW and LW groups (4,452, 4,008, and 3,716 μm2, respectively; p<0.001), but there was no significant difference in type I fiber area among these groups. Type IIA fibers in the HW group were larger compared to the MW and LW groups (2,999, 2,435, and 2,322 μm2, respectively; p<0.01) as were type IIB fibers (4,827, 4,209, and 4,077 μm2, respectively; p<0.01). However, no significant difference was observed in total fiber number between the HW and MW groups (1,436×103 and 1,316×103, respectively), although the HW groups showed a significantly higher total number compared to the LW group (1,188×103, p<0.001). There were no significant differences in the area percentage of muscle fiber types among the groups. Similar to area percentage of fiber types, the HW group had a similar number percentage of fiber types compared to the MW and LW groups (p>0.05).
Table 2. Muscle fiber characteristics of the porcine longissimus dorsi muscle in groups defined by the live weight.
| Live weight |
Level of significance | |||
|---|---|---|---|---|
| Light | Medium | Heavy | ||
| Muscle fiber area (μm2) | ||||
| Mean | 3,716b (91.4)1 | 4,008b (126) | 4,452a (156) | *** |
| Type I fiber | 2,990 (120) | 3,112 (158) | 2,979 (203) | NS |
| Type IIA fiber | 2,322b (104) | 2,435b (137) | 2,999a (178) | ** |
| Type IIB fiber | 4,077b (112) | 4,209b (141) | 4,827a (191) | ** |
| Total Fiber number (×1000) | 1,188b (39.4) | 1,316a (51.0) | 1,436a (72.2) | *** |
| Area percentage of fiber type (%) | ||||
| Type I fiber | 6.19 (0.44) | 6.13 (0.58) | 6.54 (0.75) | NS |
| Type IIA fiber | 7.08 (0.47) | 6.66 (0.61) | 7.19 (0.80) | NS |
| Type IIB fiber | 86.7 (0.62) | 87.2 (0.80) | 86.3 (1.05) | NS |
| Number percentage of fiber type (%) | ||||
| Type I fiber | 7.83 (0.57) | 7.78 (0.74) | 9.71 (0.96) | NS |
| Type IIA fiber | 11.5 (0.76) | 11.0 (1.00) | 10.7 (1.29) | NS |
| Type IIB fiber | 80.7 (0.80) | 81.2 (1.05) | 79.6 (1.37) | NS |
1Standard error of least square means.
Levels of significance: NS, not significant; **p<0.01, ***p<0.001.
Values with different lowercase superscripts within a row refer to significant differences between those groups (p<0.05).
Meat quality and sensory characteristics
The influence of live weight on meat quality characteristics is shown in Table 3. Muscle pH45 min was not significant among the groups, whereas ultimate pH (pH24 h) was significantly higher in the LW and MW groups compared to the HW group (5.58, 5.60, and 5.46, respectively; p<0.05). There were no significant differences in lightness and yellowness, but the HW group exhibited a lower redness value than the LW group (4.69 and 7.24, respectively; p<0.001). Regarding WHC, drip loss and FFU were similar among the groups (p>0.05). However, samples from the HW group experienced significantly greater cooking loss compared to samples from the MW or LW groups (22.1, 20.5, and 20.5%, respectively; p<0.05). No significant difference in WBS as an indicator of tenderness was observed among the groups. Moreover, there were no significant differences in NPPC color and marbling scores among the group.
Table 3. Meat quality characteristics of the porcine longissimus dorsi muscle in groups defined by the live weight.
| Live weight |
Level of significance | |||
|---|---|---|---|---|
| Light | Medium | Heavy | ||
| Muscle pH45 min | 5.97 (0.05)1 | 6.00 (0.06) | 5.90 (0.09) | NS |
| Muscle pH24 h | 5.58a (0.02) | 5.60a (0.02) | 5.46b (0.03) | * |
| Lightness (L*) | 47.1 (0.25) | 47.3 (0.32) | 47.4 (0.45) | NS |
| Redness (a*) | 7.24a (0.18) | 6.50b (0.24) | 4.69c (0.42) | *** |
| Yellowness (b*) | 3.31 (0.11) | 3.34 (0.14) | 3.78 (0.18) | NS |
| Drip loss (%) | 4.33 (0.37) | 4.63 (0.48) | 4.01 (0.65) | NS |
| Filter paper fluid uptake (mg) | 39.6 (3.05) | 48.8 (3.97) | 46.4 (5.42) | NS |
| Cooking loss (%) | 20.5b (0.31) | 20.5b (0.41) | 22.1a (0.55) | * |
| WBS (N) | 43.6 (0.41) | 43.4 (0.53) | 43.3 (0.73) | NS |
| NPPC color score | 2.37 (0.21) | 2.50 (0.26) | 2.31 (0.31) | NS |
| NPPC marbling score | 2.12 (0.13) | 2.25 (0.14) | 2.42 (0.16) | NS |
1Standard error of least square means.
Levels of significance: NS, not significant; *p<0.05, ***p<0.001.
Values with different lowercase superscripts within a row refer to significant differences between those groups (p<0.05).
Abbreviations: WBS, Warner-Bratzler shear force; NPPC, national pork producers council.
Sensory quality is defined by the combination of a spectrum of sensory attributes including tenderness, juiciness, and flavor (Wood et al., 2004). Among these attributes, tenderness is one of the most important characteristics and can be attributed to a consumer’s perception of food quality (Choi et al., 2012; Dransfield, 1994; Wood et al., 1996). There were no significant differences observed in tenderness attributes, softness, initial tenderness, chewiness, rate of breakdown, and amount of perceptible residue (Table 4). Moreover, juiciness, flavor intensity, and off-flavor intensity were also similar among the groups (p>0.05).
Table 4. Sensory quality characteristics of the porcine longissimus dorsi muscle in groups defined by the live weight.
| Live weight |
Level of significance | |||
|---|---|---|---|---|
| Light | Medium | Heavy | ||
| Softness | 5.98 (0.47)1 | 5.91 (0.53) | 6.22 (0.71) | NS |
| Initial tenderness | 5.78 (0.49) | 5.73 (0.56) | 5.99 (0.74) | NS |
| Chewiness | 5.75 (0.52) | 5.91 (0.58) | 6.30 (0.77) | NS |
| Rate of breakdown | 5.59 (0.40) | 5.76 (0.44) | 5.48 (0.61) | NS |
| Mouth coating | 3.67 (0.20) | 4.04 (0.22) | 3.63 (0.36) | NS |
| Amount of perceptible residue | 5.66 (0.21) | 5.57 (0.23) | 4.93 (0.37) | NS |
| Juiciness | 5.23 (0.22) | 5.50 (0.24) | 5.35 (0.38) | NS |
| Flavor intensity | 6.23 (0.21) | 6.19 (0.24) | 5.78 (0.38) | NS |
| Off-flavor intensity | 5.95 (0.16) | 5.97 (0.18) | 6.26 (0.31) | NS |
1Standard error of least square means. Levels of significance: NS, not significant.
Score distribution, low to high; softness, hard to soft; initial tenderness, tough to tender; chewiness, very chewy to very tender; rate of breakdown, very slow to very fast; mouth coating, very high to none; amount of perceptible residue, abundant to none; juiciness, not juicy to extremely juicy; flavor intensity, very weak to very strong; off flavor intensity, very weak to very strong.
Discussion
Postnatal growth potential and ultimate muscle mass are largely determined by both the initial number of muscle fibers formed prenatally and the growth of individual muscle fibers during the postnatal period (Rehfeldt et al., 2008). Generally, growth rate and muscle mass are positively correlated with both the number and area of muscle fibers (Choi et al., 2013a; Ryu and Kim, 2005). Hence, meat-type pig, cattle, and chicken tend to have a higher number (fiber hyperplasia) and greater size (fiber hypertrophy) of muscle fibers (Fowler et al., 1980; Picard et al., 2006; Rehfeldt et al., 2008). For example, Remignon et al. (1995) showed that a fast growing chicken line with greater muscle mass exhibited more than 1.2 and 1.9 times greater the number and size of muscle fibers, respectively, compared to a slow growing chicken line with less muscle mass. The results from the current study support this notion. In this study, even though the conditions before and after slaughter were the same, each pig might have a different genetic capability to produce a greater muscle mass. The HW group exhibited an enhanced number and area of muscle fibers compared to the LW group.
On the contrary, no significant differences in total fiber number after birth have been observed in mammals or birds (Picard et al., 2006; Rehfeldt et al., 2008). Thus, muscle growth and mass in the postnatal period are primarily dependent on the rate of muscle fiber hypertrophy, since animals are slaughtered before the growth potential is exhausted (Rehfeldt et al., 2000). In the case of Japanese quail, greater muscle mass of the heavier live weight line developed through selection from randomly bred control (RBC) birds was caused by muscle fiber hypertrophy, as total fiber number was not different between the heavy and RBC lines (Choi et al., 2013b). In the current study, differences in loin eye area between the HW and MW groups was strongly associated with muscle fiber hypertrophy, especially type IIA and IIB fibers, rather than muscle fiber hyperplasia, whereas, differences in live weight and muscle mass between the MW and LW groups were associated with muscle fiber hyperplasia.
Pig performance has been improved by selection, and present-day meat-type pigs are the result of a long process of domestication (Rehfeldt et al., 2008). This intense selection was accompanied by a change in the fiber type composition of muscles toward a higher proportion of fast-twitch glycolytic fibers and a lower proportion of slow-twitch oxidative fibers (Rehfeldt et al., 2008). Hence, a higher proportion of larger type IIB fibers are associated with heavier live weights and greater muscle mass (Choi et al., 2013b; Rehfeldt et al., 2008; Ruusunen and Puolanne, 2004). Increased carcass weight was also associated with a higher percentage of type IIB fiber (Kim et al., 2013). In this study, even though the area of type IIB fibers was related to carcass characteristics, fiber type composition had a limited effect on live weight and loin eye area, as no significant difference was observed in the proportion of type IIB fibers among the groups.
Metabolic and morphological characteristics of muscle fibers are the major factors that influence the meat and its sensory quality characteristics (Choi and Kim, 2009; Rehfeldt et al., 2008). Type I fibers contain a higher amount of lipids and predominantly use lipids and free fatty acids as a source of oxidative metabolic fuel. These fibers also contain a higher amount of myoglobin and lower amount of glycogen compared to type IIA and IIB fibers (Pette and Staron, 1997). Thus, porcine muscles containing a higher percentage of type I fibers exhibited more red color on its surface, higher muscle pH in the early postmortem period, and less fluid exudate compared to porcine muscles with a higher percentage of the larger type IIB fibers (Choi et al., 2013a). Further, muscles with a higher total fiber number tended to exhibit higher pH45 min and lower drip loss compared to muscles with a lower total number of fibers, whereas greater fiber area was associated with increasing drip loss (Ryu and Kim, 2006). In this study, there was no significant difference in the proportion of type I or IIA fibers among the groups. Pigs having a higher growth rate exhibited higher lightness and shear force value compared to pigs having a lower growth rate (Karlsson et al., 1993). The HW group with its greater muscle fiber area and higher growth rate exhibited lower ultimate muscle pH and higher cooking loss compared to the MW and LW groups, but no significant differences were observed in drip loss or lightness among the groups, which are the most useful indicators of pork quality classification (Kauffman et al., 1986). Similar results were reported by Mc- Gilchrist et al. (2016), who suggested that increased muscle mass was not always associated with higher glycolytic potential, pH in the early postmortem period, or meat color. Moreover, composition of fiber types are not correlated with live weights at slaughter (Jeong et al., 2012). Jeong et al. (2010) suggested that tenderness attributes and juiciness after cooking were influenced by the WHC of fresh pork. In the present study, there were no significant differences in the WHC measurements with the exception of cooking loss. Trained panelists did not distinguish differences in the sensory quality characteristics among the groups.
Conclusions
Taken together, increased live weight (an average live weight of 130.5 kg) in this study has limited effect on meat quality characteristics, and did not influence sensory quality attributes, including tenderness, juiciness, and flavor. Additionally, muscles with a greater number of medium or large size fibers tend to exhibit good carcass performance without impairing meat and sensory quality characteristics.
Acknowledgments
This research was supported by Kyungpook National University Research Fund, 2015.
References
- 1.America Meat Science Association. Research Guidelines for Cookery, Sensory Evaluation, and Instrumental Tenderness Measurements of Fresh Meat. American Meat Science Assoc.; Chicago, IL: 1995. [Google Scholar]
- 2.Barbut S., Sosnicki A. A., Lonergan S. M., Knapp T., Ciobanu D. C., Gatcliffe L. J., Huff-Lonergan E., Wilson E. W. Progress in reducing the pale, soft, and exudative (PSE) problem in pork and poultry meat. Meat Sci. 2008;79:46–63. doi: 10.1016/j.meatsci.2007.07.031. [DOI] [PubMed] [Google Scholar]
- 3.Brooke M. H., Kaiser K. K. Three ‘myosin adenosine triphosphatase’ systems: the nature of their pH lability and sulphydryl dependence. J. Histochem. Cytochem. 1970;18:670–672. doi: 10.1177/18.9.670. [DOI] [PubMed] [Google Scholar]
- 4.Choi Y. M., Jung K. C., Choe J. H., Kim B. C. Effects of cortisol concentration on muscle fiber characteristics, pork quality, and sensory quality of cooked pork. Meat Sci. 2012;91:490–498. doi: 10.1016/j.meatsci.2012.03.003. [DOI] [PubMed] [Google Scholar]
- 5.Choi Y. M., Kim B. C. Muscle fiber characteristics, myofibrillar protein isoforms, and meat quality. Livest. Sci. 2009;122:105–118. doi: 10.1016/j.livsci.2008.08.015. [DOI] [Google Scholar]
- 6.Choi Y. M., Nam K. W., Choe J. H., Ryu Y. C., Wick M. P., Lee K., Kim B. C. Growth, fiber type, and meat quality characteristics in large white pig with different live weight. Livest. Sci. 2013a;155:123–129. doi: 10.1016/j.livsci.2013.02.009. [DOI] [Google Scholar]
- 7.Choi Y. M., Ryu Y. C., Kim B. C. Influence of myosin heavy- and light chain isoforms on early postmortem glycolytic rate and pork quality. Meat Sci. 2007;76:281–288. doi: 10.1016/j.meatsci.2006.11.009. [DOI] [PubMed] [Google Scholar]
- 8.Choi Y. M., Shin S., Wick M. P., Choe J. H., Lee K. Muscle fiber characteristics of pectoralis major muscle as related to muscle mass in different Japanese quail lines. Animal. 2013b;7:1665–1670. doi: 10.1017/S1751731113001298. [DOI] [PubMed] [Google Scholar]
- 9.Choi Y. M., Suh Y., Shin S., Lee K. Skeletal muscle characterization of Japanese quail line selectively bred for lower body weight as an avian model of delayed muscle growth with hypoplasia. PLoS ONE. 2014;9:e95932. doi: 10.1371/journal.pone.0095932. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Commission International De L’ecairage. Recommendations on uniform color spaces - Color differences equations, Psychrometric color terms. Supplement No. 2. 1978. CIE Publication No. 15 (E1.3.1) [Google Scholar]
- 11.Correa J. A., Faucitano L., Laforest J. P., Rivest J., Marcoux M., Gariepy C. Effects of slaughter weight on carcass composition and meat quality in pigs of two different growth rates. Meat Sci. 2006;72:91–99. doi: 10.1016/j.meatsci.2005.06.006. [DOI] [PubMed] [Google Scholar]
- 12.Dransfield E. Optimisation of tenderisation, ageing and tenderness. Meat Sci. 1994;36:105–121. doi: 10.1016/0309-1740(94)90037-X. [DOI] [PubMed] [Google Scholar]
- 13.Fowler S. P., Campion D. R., Marks H. L., Reagan J. O. An analysis of skeletal muscle response to selection for rapid growth in Japanese quail (Coturnix coturnix japonica) Growth. 1980;44:235–252. [PubMed] [Google Scholar]
- 14.Galian M., Poto A., Peinado B. Carcass and meat quality traits of the Chato Murciano pig slaughtered at different weights. Livest. Sci. 2009;124:314–320. doi: 10.1016/j.livsci.2009.02.012. [DOI] [Google Scholar]
- 15.Honikel K. O. Reference methods for the assessment of physical characteristics of meat. Meat Sci. 1998;49:447–457. doi: 10.1016/S0309-1740(98)00034-5. [DOI] [PubMed] [Google Scholar]
- 16.Jeong D. W., Choi Y. M., Lee S. H., Choe J. H., Hong K. C., Park H. C., Kim B. C. Correlations of trained panel sensory values of cooked pork with fatty acid composition, muscle fiber type, and pork quality characteristics in Berkshire pigs. Meat Sci. 2010;86:607–615. doi: 10.1016/j.meatsci.2010.04.011. [DOI] [PubMed] [Google Scholar]
- 17.Jeong J. Y., Kim G. D., Ha D. M., Park M. J., Park B. C., Joo S. T., Lee C. Y. Relationships of muscle fiber characteristics to dietary energy density, slaughter weight, and muscle quality traits in finishing pigs. J. Anim. Sci. Technol. 2012;54:175–183. doi: 10.5187/JAST.2012.54.3.175. [DOI] [Google Scholar]
- 18.Karlsson A., Enfalt A. C., Essen-Gustavsson B., Lundstrom K., Rydhmer L., Stein S. Muscle histochemical and biochemical properties in relation to meat quality during selection for increased lean tissue growth rate in pigs. J. Anim. Sci. 1993;71:930–938. doi: 10.2527/1993.714930x. [DOI] [PubMed] [Google Scholar]
- 19.Kauffman R. G., Eikelenboom G., van der Wal P. G., Merkus G., Zaar M. The use of filter paper to estimate drip loss of porcine musculature. Meat Sci. 1986;18:191–200. doi: 10.1016/0309-1740(86)90033-1. [DOI] [PubMed] [Google Scholar]
- 20.Kim G. D., Kim B. W., Jeong J. Y., Hur S. J., Cho I. C., Lim H. T., Joo S. T. Relationship of carcass weight to muscle fiber characteristics and pork quality of crossbred (Korean native black pig × landrace) F2 pigs. Food Bioprocess Technol. 2013;6:522–529. doi: 10.1007/s11947-011-0724-2. [DOI] [Google Scholar]
- 21.Kim Y. S., Kim S. W., Weaver M. A., Lee C. Y. Increasing the pig market weight: World trends, expected consequences and practical considerations. Asian-Aust. J. Anim. Sci. 2005;18:590–600. doi: 10.5713/ajas.2005.590. [DOI] [Google Scholar]
- 22.Lind A., Kernell D. Myofibrillar ATPase histochemistry of rat skeletal muscles: A “two-dimensional” quantitative approach. J. Histochem. Cytochem. 1991;39:589–597. doi: 10.1177/39.5.1826695. [DOI] [PubMed] [Google Scholar]
- 23.McGilchrist P., Greenwood P. L., Pethick D. W., Gardner G. E. Selection for increased muscling in Angus cattle did not increased the glycolytic potential or negatively impact pH decline, retail colour stability or mineral content. Meat Sci. 2016;114:8–17. doi: 10.1016/j.meatsci.2015.12.007. [DOI] [PubMed] [Google Scholar]
- 24.Meilgaard M., Civille G. V., Carr B. T. Affective tests: Consumer tests and in-house panel acceptance tests In: Meilgaard M., Civille G. V., Carr B. T., editors. Sensory evaluation techniques. Boca Raton, CRC Press Inc.; FL: 1991. pp. 211–222. [Google Scholar]
- 25.National Pork Producer Council. Pork composition and quality assessment procedures. National Pork Producers Council; Des Moines, IA: 2000. [Google Scholar]
- 26.National Research Council. Nutrient Requirement of Swine. 10th revised edition. National Academic Press; Washington, D.C.: 1998. [Google Scholar]
- 27.Peloso J. V., Lopes P. S., Gomide L. A. M., Guimaraes S. E. F., Carneiro P. L. S. Carcass and ham quality characteristics of heavy pigs from different genetic groups intended for the production of dry-cured hams. Meat Sci. 2010;86:371–376. doi: 10.1016/j.meatsci.2010.05.017. [DOI] [PubMed] [Google Scholar]
- 28.Pette D., Staron R. S. Mammalian skeletal muscle fiber type transitions. Int. Rev. Cytol. 1997;170:143–223. doi: 10.1016/s0074-7696(08)61622-8. [DOI] [PubMed] [Google Scholar]
- 29.Picard B., Jurie C., Duris M. P., Renand G. Consequences of selection for higher growth rate on muscle fiber development in cattle. Livest. Sci. 2006;102:107–120. doi: 10.1016/j.livsci.2005.12.001. [DOI] [Google Scholar]
- 30.Rehfeldt C., Fiedler I., Dietl G., Ender K. Myogenesis and postnatal skeletal muscle cell growth as influenced by selection. Livest. Prod. Sci. 2000;66:177–188. doi: 10.1016/S0301-6226(00)00225-6. [DOI] [Google Scholar]
- 31.Rehfeldt C., Henning M., Fiedler I. Consequences of pig domestication for skeletal muscle growth and cellularity. Livest. Sci. 2008;116:30–41. doi: 10.1016/j.livsci.2007.08.017. [DOI] [Google Scholar]
- 32.Remignon H., Gardahaut M. F., Marche G., Ricard F. H. Selection for rapid growth increases the number and the size of muscle fibers without changing their typing in chickens. J. Muscle Res. Cell M. 1995;16:95–102. doi: 10.1007/BF00122527. [DOI] [PubMed] [Google Scholar]
- 33.Ruusunen M., Puolanne E. Histochemical properties of fiber types in muscles of wild and domestic pigs and the effect of growth rate on muscle fiber properties. Meat Sci. 2004;67:533–539. doi: 10.1016/j.meatsci.2003.12.008. [DOI] [PubMed] [Google Scholar]
- 34.Ryu Y. C., Kim B. C. The relationship between muscle fiber characteristics, postmortem metabolic rate, and meat quality of pig longissimus dorsi muscle. Meat Sci. 2005;71:351–357. doi: 10.1016/j.meatsci.2005.04.015. [DOI] [PubMed] [Google Scholar]
- 35.Ryu Y. C., Kim B. C. Comparison of histochemical characteristics in various pork groups categorized by postmortem metabolic rate and pork quality. J. Anim. Sci. 2006;84:894–901. doi: 10.2527/2006.844894x. [DOI] [PubMed] [Google Scholar]
- 36.SAS. SAS/STAT Software for PC. Release 9.3. SAS Institute Inc.; Cary, NC, USA: 2009. [Google Scholar]
- 37.Serrano M. P., Valencia D. G., Fuenteaja A., Lazaro R., Mateos G. G. Effect of gender and castration of females and slaughter weight on performance and carcass and meat quality of Iberian pigs reared under intensive management systems. Meat Sci. 2008;80:1122–1128. doi: 10.1016/j.meatsci.2008.05.005. [DOI] [PubMed] [Google Scholar]
- 38.Shin S., Choi Y. M., Suh Y., Lee K. Delta-like 1 homolog (DLK1) inhibits proliferation and myotube formation of avian QM7 myoblasts. Comp. Biochem. Physiol. B. 2015;179:37–43. doi: 10.1016/j.cbpb.2014.09.006. [DOI] [PubMed] [Google Scholar]
- 39.United States Department of Agriculture. [Accessed Jan. 13, 2016];Hogs & pork: Background. Available from: http://www.ers.usda.gov. /topics/animal-products/hogs-pork/background.aspx.
- 40.Wood J. D., Brown S. N., Nute G. R., Whittington F. M., Perry A. M., Johnson S. P., Enser M. Effects of breed, feed level and conditioning time on the tenderness of pork. Meat Sci. 1996;44:105–112. doi: 10.1016/S0309-1740(96)00044-7. [DOI] [PubMed] [Google Scholar]
- 41.Wood J. D., Nute G. R., Richardson R. I., Whittington F. M., Southwood O., Plastow G., Mansbridge R., da Costa N., Chang K. C. Effects of breed, diet and muscle on fat deposition and eating quality in pigs. Meat Sci. 2004;67:651–667. doi: 10.1016/j.meatsci.2004.01.007. [DOI] [PubMed] [Google Scholar]