RESEARCH ARTICLE

Comparison of pork belly characteristics and weights of primal cuts between gilt and barrow of Landrace × Yorkshire × Duroc pigs measured by AutoFomIII

Eunyoung Ko1,#https://orcid.org/0000-0002-8686-1762, Yunhwan Park2,#https://orcid.org/0000-0002-2239-6697, Kwangwook Park1https://orcid.org/0000-0003-2671-0687, Changhyun Woo1https://orcid.org/0000-0002-8103-9817, Jaeyoung Kim2https://orcid.org/0000-0002-2847-1731, Kwansuk Kim2,*https://orcid.org/0000-0002-5895-4398, Jungseok Choi2,*https://orcid.org/0000-0001-8033-0410
Author Information & Copyright
1Dodram Pig Farmers Cooperative, Icheon 17405, Korea
2Department of Animal Science, Chungbuk National University, Cheongju 28644, Korea

# These authors contributed equally to this work.

*Corresponding author: Kwansuk Kim, Department of Animal Science, Chungbuk National University, Cheongju 28644, Korea. Tel: +82-43-261-2547, E-mail: Kwanskim@chungbuk.ac.kr
*Corresponding author: Jungseok Choi, Department of Animal Science, Chungbuk National University, Cheongju 28644, Korea. Tel: +82-43-261-2551, E-mail: jchoi@chungbuk.ac.kr

© Copyright 2023 Korean Society of Animal Science and Technology. This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Received: Oct 25, 2022; Revised: Nov 25, 2022; Accepted: Nov 29, 2022

Published Online: Mar 31, 2023

Abstract

Currently, pigs breed in Korea are LYD (Landrace × Yorkshire × Duroc) crossbred pigs. Pigs used as fresh meat are gilts and barrows. However, the current supply of pork is not satisfying Korean consumers. In addition, the comparison of carcasses between gilts and barrows only studies carcass weight, backfat thickness, or meat quality, and there are very few studies comparing carcass characteristics. The purpose of this study was to compare characteristics of 7 primal cuts of gilts and barrows as measured by AutoFom III. A total of 350,179 pigs were used, including 176,461 gilts and 173,718 barrows. Characteristics of seven primal cuts were measured using AutoFom III. In the case of carcass weight, there was no significant difference in grade 1+. For all other survey items except for grade 2, gilts showed significantly (p < 0.05) higher values. For all grades except for pork belly, amounts of the remaining six primal cuts were higher in gilts (all p < 0.05,). In addition, the ratio of intermuscular fat in the pork belly of barrows showed a higher value than that in the pork belly of gilts (p < 0.05). The amount of pork belly, which is the most popular among consumers in Korea, not only produced more production than gilts in barrows, but also showed a higher value than gilts in barrows for the ratio of intermuscular fat affecting taste. In summary, gilts produced higher yields than barrows in all parts except pork belly. For the production of only pork belly, barrows showed higher production than gilts.

Keywords: Landrace × Yorkshire × Duroc (LYD); Gilt; Barrow; Grade; Belly; AutoFom III

INTRODUCTION

Currently, the most popular finishing pig in Korea is Landrace × Yorkshire × Duroc (LYD) species, a three-way crossbred of Landrace, Yorkshire, and Duroc. This LYD species created as a three-way crossbred has advantages of the three species by crossing a Landrace species with a high fertility number, a fast-growing Yorkshire species, and a Duroc species with a high meat yield [1,2]. Among LYD species produced in this way, gilts and barrows are used as meat [3]. Barrows refer to boars that have been surgically castrated at a young age. Castration is performed because it lowers levels of androsterone and skatole in the meat. Androsterone and skatole are the main causes of boar odor. They can cause an unpleasant taste and odor in the meat of boars. Because of this, male piglets are usually surgically castrated within the first week of life to reduce boar taint and aggressive behavior and to eliminate sexual behavior [4,5].

In Korea, grilling pork is the most popular culture. Cuts such as pork belly and Boston butt with high fat are popular, whereas cuts such as hams and loin with low fat are less popular. Therefore, there is a large difference in the price of primal cut of pork in Korea [6]. Among pork cuts with high fat, pork belly is one of the most preferred cuts [7]. Since fat in the pork belly can enhance the flavor and juiciness of the meat [8], it is related to meat quality [9]. Pork belly accounts for about 13%–18% of pig carcass weight [10]. The supply of pork belly is important in Korea. However, the supply of pork belly could not satisfy Korean consumers [6]. Also, since the amount of pork belly can only be known after the pig carcass grade is evaluated, the amount of pork belly cannot be known immediately [11].

Since the income of Korean people is increasing, the per capita meat consumption is also increasing. In 2018, out of 53.9 kg of meat consumption per capita in Korea, the amount of pork was 27 kg, accounting for more than 50% of all meat consumption [12]. At the same time, the number of pigs slaughtered in Korea increased from 15 million in 2014 to 17 million in 2018 [13]. As so many pigs are slaughtered, an automatic grading machine is needed in the slaughterhouse. AutoFom III (Frontmatec Somerum A/S, Smørum, Denmark) is one of automatic grading machines using ultrasound. AutoFom III is currently used in slaughterhouses in 14 overseas countries including North America and Europe. AutoFom III showed very high accuracy that predicting the amount of pork belly and ham of pig carcass, regression coefficients were respectively 0.98, 0.93 [14]. Also Choi et al. [15] indicated that the prediction accuracy was high when the predicted value and the actual value of Korean pigs measured by AutoFom III were compared.

In Korea, pig carcass grade is measured according to 21 criteria such as sex, appearance, meat quality, and defects based on carcass weight and backfat thickness [16] (Table 1). And Fig. 1 shows the pig carcass characteristics by grade according to sex through a box plot.

Table 1. Korean pig carcass grading system
Primary carcass grade Carcass weight (kg) Backfat thickness (mm)
1+ 83–92 17–24
1 80–82 15–27
83–92 15–16
83–92 25–27
93–97 15–27
2 Neither 1+ nor 1

Adapted from MAFRA with CC-BY [38].

Download Excel Table
jast-65-2-412-g1
Fig. 1. Box plot of characteristics of carcass weight and backfat thickness of gilts and barrows.
Download Original Figure

According to KAPE [13], the price per kg of pork was 4,222 won for grade 1+, 4,134 won for grade 1, and 3,960 won for grade 2. Therefore, pig carcass grade is an important factor that shapes the final market price of finishing pigs.

Big data analysis technology is an essential element when analyzing large-capacity data, both structured and unstructured, to extract available information and to actively respond to or predict changes in the pig industry based on analyzed data [17]. It has been predicted that the number of clivestock slaughtered will increase in the future. Thus, accumulated data will increase accordingly. Most papers that have compared gilts and barrows so far have compared carcass weight and backfat thickness as well as meat quality. However, very few studies have compared seven primal cuts. In addition, the number of samples investigated was small. One study has reported few data comparing carcass yields from gilts and barrows [18]. Therefore, the purpose of this study was to compare characteristics of pork belly of gilts and barrows, weights of seven primal cuts, and differences in carcass characteristics according to the Korean pig carcass grading system based on data measured with an AutoFom III.

MATERIALS AND METHODS

Animals

A total of 350,719 LYD crossbred pigs were used as experimental materials, including 176,461 gilts and 173,718 barrows. All pigs were bred and slaughtered under the same environment from January 2019 to December 2019. And the feed was provided by the Dodram pig farmers’ association in accordance with specific standards of Dodram union. All pigs were transferred to Dodram LPC in Anseong, Gyeonggi Province, Korea and slaughtered in accordance with the Livestock Sanitation Management Act.

Measurement of pig carcass weight and backfat thickness

Pig carcass weight was measured with an electronic scale and expressed in unit of kg. Backfat thicknesses between the last thoracic vertebra and the first lumbar vertebrae and between the 11th and 12th lumbar vertebrae of the left half carcass were measured with a ruler and expressed in unit of mm. The average of two backfat thickness values was calculated.

Measurement of primal cut weight and content of pork belly using AutoFom III

AutoFom III was used after the head was removed and before evisceration of the carcass. AutoFom III is an equipment that performs measurement using ultrasound. It is largely divided into four parts: an ultra-sound transducer array, an acquisition module, a data processing workstation, and a personal computer. It also has 16 ultrasound transducers that are excited in turn with a repeated frequency of about 5 kHz. As the carcass is scanned, an ultrasound image is generated, and 48 image parameters are generated that provide information on lean meat and fat yield [15]. Further methods of using AutoFom III have been described in our previous study [18]. Carcass weight, backfat thickness, pork belly characteristics, and weights of seven primal cuts (belly, Boston butt, ribs, tenderloin, loin, picnic shoulder, ham) were measured with the AutoFom III equipment based on the data classified by sex of the pig.

Statistical analysis

A t-test was used to test the significance of each investigation. Skewness and Kurtosis were measured to know the disperse of each investigated graph. The regression equation was calculated using weights of seven parts by dividing the carcass by sex and placing the carcass weight as the dependent variable (yi). Afterwards, coefficient of determination and correlation were calculated. Data of sex and grade were investigated using the following multiple linear regression model.

y i = μ + β 1 x 1 + β 2 x 2 + β 3 x 3 + β 4 x 4 + β 5 x 5 + β 6 x 6 + β 7 x 7

where μ was the intercept and β was the slope of the independent variable x1, which was the weight of 7 cut meats measured by AutoFom III. x1 was pork belly, x2 was pork loin, x3 was rib, x4 was sirloin, x5 was tenderloin, x6 was forelimb, and x7 was hind leg. All statistical analyses were performed using SPSS software version 25.0 (SPSS, Chicago, IL, USA).

RESULTS AND DISCUSSION

In Table 2, skewness and kurtosis of carcass weight and backfat thickness were measured to investigate characteristics and distribution according to sex and grade. Fig. 2 shows the distribution of carcass weight and backfat thickness through a box plot. A normal distribution is a case where the mean, median, and mode all agree with skewness and kurtosis of 0. However, in this study, skewness showed negative values for carcass weight and backfat thickness of all sexes with grade 1+, carcass weights of gilts with grade 1, backfat thickness of all sexes, and barrows with grade 2 (Table 2). Except for this, skewness and kurtosis of carcass weight and backfat thickness showed positive values (k > 0, Table 2). If the skewness has a negative value, it is interpreted that the distribution is skewed to the left. If it has a positive value, it is interpreted to be skewed to the right. However, according to Kline [19], if the absolute value of skewness is less than 3 and the absolute value of Kurtosis is less than 7, then normal distribution is suitable. Results showed that the absolute value of skewness was less than 3 and the absolute value of kurtosis was less than 7, conforming to normality (Table 2).

Table 2. Disperse characteristics of carcass weight and backfat thickness of gilts and barrows1)
Items Weight Thickness
Skewness2) Kurtosis3) Skewness Kurtosis
1+ grade carcass
 Gilts −0.117 −1.014 −0.184 −0.978
 Barrow −0.017 −1.053 −0.624 −0.511
1 grade carcass
 Gilts −0.054 −1.414 −0.006 −1.374
 Barrows 0.110 −1.352 −0.585 −0.899
2 grade carcass
 Gilts 0.206 −1.173 0.382 −0.489
 Barrows 0.051 −1.042 −0.440 −0.804
All of grades carcass
 Gilts 0.222 0.357 0.164 1.170
 Barrows 0.285 0.350 0.108 0.409

1) Population number for gilts and barrows were 176,461 and 173,718, respectively.

2) Skewness means that the degree to which the distribution is skewed out of symmetry.

3) Kurtosis means that the sharpness of the frequency distribution.

Download Excel Table
jast-65-2-412-g2
Fig. 2. Box plot of lean amount by part of gilts and barrows measured by AutoFom III.
Download Original Figure

There was no significant difference in carcass weight or backfat thickness for grade 1+ between gilts and barrows (both p > 0.05). On the other hand, for grade 1, the carcass weight of gilts showed a significantly higher value than that of barrows. For grade 2, the carcass weight of gilts showed a significantly lower value than that of barrows. Except for grade 1+, backfat thickness of barrow was significantly thicker than that of gilts. Overall, gilts showed a tendency to be heavier than that of barrows in the case of carcass weight, whereas barrows tended to have thicker backfat thickness than gilts (p < 0.05, Table 3). These results were contrary to results of Larzul et al. [20] and Kim and In [21]. They showed that barrows had higher carcass weight and thicker backfat. Kim and In [21] have found that barrows have heavier carcass weight than gilts without showing significant difference (p > 0.05), although barrows have thicker backfat than gilts (p < 0.05). The present study showed different results of carcasses of gilts and barrows compared to results of Kim and In [21]. This might be due to differences in breeding area, feed, and age at marketing. According to the study of Larzul et al. [20], gilts grew later than barrows. Thus, their carcass weights were less. However, backfat thickness in the study of Larzul et al. [20] was similar to that of the present study. The reason why carcass weight values of gilts and barrows were opposite from those in the study of Larzul et al. [20] might be due to differences in breed, breeding area, and feed.

Table 3. Pig carcass weight and backfat thickness1)
Items Gilt2) Barrow
Carcass weight
 1+ grade 87.57 ± 2.65 87.83 ± 2.62
 1 grade 88.65 ± 5.41a 88.01 ± 5.32b
 2 grade 88.16 ± 9.63b 88.54 ± 9.19a
 All of grades 88.21 ± 5.97a 88.10 ± 6.13b
Backfat thickness
 1+ grade 20.87 ± 2.04 21.68 ± 1.91
 1 grade 20.69 ± 3.92b 22.43 ± 3.64a
 2 grade 20.07 ± 6.91b 24.51 ± 6.70a
 All of grades 20.61 ± 4.33b 22.78 ± 4.47a

1) Each value is presented as mean ± SD.

2) Population numbers for Gilts and Barrows were 176,461 and 173,718, respectively.

a,b Means within the same row with different superscripts are significantly different (p < 0.05).

Download Excel Table

Gilts and barrows were classified according to the Korean pig carcass grading system. Results are presented in Table 4. According to the Korean pig carcass grading system, in the case of gilts (n = 176,461), grade 1+showed the largest proportion at 39.13% (n = 69,049), followed by grade 1 at 37.32% (n = 65,850) and grade 2 at 23.55% (n = 41,562). On the other hand, in the case of barrows (n = 173,718), grade 1 showed the highest proportion at 37.97% (n = 65,989), followed by grade 1+ at 33.88% (n = 58,862) and grade 2 at 28.13% (n = 48,867). Results shown in Table 4 were consistent with results of Kim [17]. Both showed that gilts had the highest proportion of grade 1+ and barrows had the highest proportion of grade 1. A similar trend was found for the percentage of pigs slaughtered in 2019 based on the data released by the Livestock Products Quality Assessment Service in 2019 [12]. These results were also similar to results of Kress et al. [22], where S, the highest grade of gilts, showed a higher ratio than that of barrows. Although pig carcass grade used in Europe differs from that in Korea in terms of meat production, the high proportion of the highest grade in gilts cannot be ignored.

Table 4. Grade percentage of sex according to the Korean pig meat grading system
Items1) 1+2) 1 2
Gilt 39.13% 37.32% 23.55%
Barrow 33.88% 37.97% 28.13%

1) Population numbers for gilts and barrows were 176,461 and 173,718, respectively.

2) Population numbers for grades 1+, 1, and 2 were 127,911, 131,839, and 90,429, respectively.

Download Excel Table

In Table 5, skewness and kurtosis were measured to investigate the disperse of seven primal cuts according to sex and grade. Measurements of weights for the seven primal cuts shown in Table 5 were estimated with AutoFom III. In the above result, in the case of comparison between gilts and barrows by grade, as grade decreased, the value of skewness increased, showing a tendency to approach 0. Also, most values of kurtosis were negative, showing a less sharping shape. In the case of overall comparison between gilts and barrows, the value of skewness was negative for loin and ham of gilts and barrows and for tenderloin of gilts. Seven primal cuts showing negative values can be interpreted as skewing the distribution to the left. On the other hand, in the case of kurtosis, all areas of gilts and barrows showed positive values (k > 0, Table 5). Skewness and kurtosis did not indicate 0 because the mean, median, and mode did not match. However, the normality was verified according to Kline [19].

Table 5. Disperse of lean amount by part of barrows and gilts measured by AutoFom III
Items Gilt1) Barrow
Skewness2) Kurtosis3) Skewness Kurtosis
Belly
 1+ 0.093 −0.21 0.061 −0.26
 1 0.009 −0.99 0.061 −0.93
 2 0.204 −1.13 −0.086 −0.97
 All grades 0.227 0.339 0.176 0.325
Boston butt
 1+ −0.18 −0.14 −0.13 −0.16
 1 −0.10 −0.79 0.10 −0.72
 2 0.21 −0.79 0.30 −0.63
 All grades 0.014 0.408 0.048 0.369
Rib
 1+ −0.10 −0.57 −0.02 −0.59
 1 −0.05 −1.17 0.16 −1.08
 2 0.23 −0.99 0.26 −0.85
 All grades 0.226 0.329 0.294 0.328
Loin
 1+ −0.25 0.28 −0.19 0.18
 1 −0.24 0.04 −0.11 −0.02
 2 −0.07 −0.01 0.05 −0.02
 All grades −0.131 0.484 −0.106 0.425
Tenderloin
 1+ −0.23 0.201 −0.18 0.13
 1 −0.18 −0.28 −0.01 −0.24
 2 0.11 −0.45 0.23 −0.33
 All grades −0.025 0.449 0.008 0.411
Picnic shoulder
 1+ −0.13 −0.37 −0.19 0.18
 1 −0.08 −0.98 −0.11 −0.02
 2 0.23 −0.90 0.30 −0.75
 All grades 0.059 0.372 0.092 0.325
Ham
 1+ −0.23 0.05 −0.17 −0.02
 1 −0.14 −0.56 0.05 −0.52
 2 0.18 −0.65 0.28 −0.51
 All grades −0.119 0.509 −0.076 0.289

1) Population numbers for gilts and barrows were 176,461 and 173,718, respectively.

2) Skewness means that the degree to which the distribution is skewed out of symmetry.

3) Kurtosis means that the sharpness of the frequency distribution.

Download Excel Table

As a result of measuring weights of seven primal cuts with AutoFom III, for all grades of pork belly, the most popular cut in Korea, barrows showed significantly higher values than gilts (p < 0.05). Except for pork belly, amounts of the remaining six primal cuts showed higher values in gilts than in barrows. In the study of Kress et al. [22], gilts showed significantly higher values of areas such as ham and shoulder than barrows. In addition, similar results were found for pork belly, which showed a higher value in barrows than in gilts. In Table 6 carcass weights of gilts showed significantly higher values than those of barrows, which might be the reason why all parts except pork belly showed high values in gilts than in barrows (p < 0.05). The reason why gilts showed higher values of carcass weight and lean meat content than barrows was similar to that in one study [23] that found that estrogen of gilt hormone could improve protein deposition, similar to research results of Tanghe et al. [24] and other dissection experiments [25]. Also, compared to gilts and slow-growing pigs, barrows and fast-growing pigs might have higher amounts of pork belly. The fact that loin, picnic shoulder, and Boston butt were produced more in gilts than in barrows was consistent with a previous study [26], suggesting that there were also differences according to growth rate. In the case of the picnic shoulder, it was mentioned that it increased with the slaughter weight. It can also be explained by growth difference between pork belly and other six parts cut of meat due to allometric growth [27].

Table 6. Lean meat weights of seven primal cuts as measured by AutoFom III1)
Items Gilt2) Barrow
Belly
 1+ Grade 12.12 ± 0.52b 12.29 ± 0.54a
 1 Grade 12.24 ± 0.90b 12.40 ± 0.90a
 2 Grade 12.19 ± 1.57b 12.64 ± 1.54a
 All Grades 9.94 ± 0.70b 10.10 ± 0.68a
Boston Butt
 1+ Grade 4.55 ± 0.20a 4.46 ± 0.20b
 1 Grade 4.59 ± 0.32a 4.45 ± 0.32b
 2 Grade 4.56 ± 0.49a 4.43 ± 0.48b
 All Grades 3.89 ± 0.32a 3.76 ± 0.33b
Rib
 1+ Grade 3.67 ± 0.11a 3.65 ± 0.12b
 1 Grade 3.70 ± 0.21a 3.65 ± 0.21b
 2 Grade 3.68 ± 0.35a 3.65 ± 0.34b
 All Grades 3.67 ± 0.23a 3.62 ± 0.23b
Tenderloin
 1+ Grade 0.99 ± 0.05a 0.96 ± 0.06b
 1 Grade 1.00 ± 0.08a 0.96 ± 0.08b
 2 Grade 0.99 ± 0.11a 0.95 ± 0.11b
 All Grades 0.99 ± 0.08a 0.96 ± 0.08b
Loin
 1+ Grade 5.83 ± 0.48a 5.60 ± 0.49b
 1 Grade 5.89 ± 0.61a 5.55 ± 0.62b
 2 Grade 5.84 ± 0.78a 5.45 ± 0.82b
 All Grades 6.43 ± 0.64a 6.11 ± 0.68b
Picnic shoulder
 1+ Grade 8.22 ± 0.28a 5.60 ± 0.49b
 1 Grade 8.29 ± 0.48a 5.55 ± 0.62b
 2 Grade 8.27 ± 0.78a 8.09 ± 0.75b
 All Grades 7.98 ± 0.54a 7.75 ± 0.57b
Ham
 1+ Grade 17.31 ± 0.77a 16.95 ± 0.79b
 1 Grade 17.45 ± 1.17a 16.90 ± 1.18b
 2 Grade 17.33 ± 1.74a 16.75 ± 1.74b
 All Grades 16.29 ± 1.19a 15.69 ± 1.27b

1) Each value is presented as mean ± SD.

2) Population numbers for gilts and barrows were 176,461 and 173,718, respectively.

a,b Means within the same row with different superscripts are significantly different (p < 0.05).

Download Excel Table

As a result of measuring characteristics of pork belly, the most popular cut in Korea, with AutoFom III, gilts showed significantly higher values of lean meat weight than barrows. However, barrows showed significantly higher values of subcutaneous fat and intermuscular fat than gilts (p < 0.05, Table 7). According to sex and growth rate, the amount of pork belly and fat content of pork belly could be different. Fast-growing pigs have higher amounts of pork belly and fat contents in pork belly than slow-growing pigs [28]. In addition, a higher fat accumulation has been observed in barrows than in gilts in a previous study [29].

Table 7. Weights of lean meat, subcutaneous fat, and muscle fat of pork belly according to sex measured by AutoFom III1)
 Items Gilt2) Barrow
Lean meat(kg)
 1+ grade 10.05±0.39a 9.45±0.39
 1 grade 10.14±0.65a 9.95±0.65
 2 grade 10.10±1.02a 9.92±1.00
 All grades 10.10±0.68a 9.94±0.70b
Lean meat percentage
 1+ grade 55.57±2.17a 54.53±2.28
 1 grade 55.58±2.74a 54.04±2.85
 2 grade 55.56±3.82a 52.80±3.99
 All grades 55.57±2.84a 53.86±3.13b
Subcutaneous fat weight
 1+ grade 4.89±0.38 5.03±0.39a
 1 grade 4.94±0.57 5.13±0.57
 2 grade 4.92±0.96 5.37±0.95a
 All grades 4.92±0.63b 5.16±0.67a
Subcutaneous fat percentage
 1+ grade 26.51±1.33 26.98±1.40a
 1 grade 26.49±1.65 27.26±1.70a
 2 grade 26.46±2.26 27.94±2.32a
 All grades 26.49±1.71b 27.36±1.85a
Intermuscular fat weight
 1+ grade 2.29±0.28 2.41±0.29a
 1 grade 2.32±0.40 2.49±0.42a
 2 grade 2.31±0.66 2.68±0.67a
 All grades 2.30±0.44b 2.52±0.48a
Intermuscular fat percentage
 1+ grade 12.41±1.28 13.06±1.36a
 1 grade 12.41±1.62 13.36±1.70a
 2 grade 12.45±2.29 14.13±2.40a
 All grades 12.42±1.69b 13.47±1.88a
Belly fat percentage
 1+ grade 38.89±2.45 40.06±2.58a
 1 grade 38.88±3.10 40.62±3.23a
 2 grade 38.91±4.34 42.06±4.55a
 All grades 38.89±3.22b 40.83±3.56a
Ratio belly weight to carcass weight
 1+ grade 13.77 13.97
 1 grade 13.75 14.09
 2 grade 13.85 14.20
 All grades 13.81 14.11

1) Each value is presented as mean ± SD.

2) Population numbers for gilts and barrows were 176,461 and 173,718, respectively.

a,b Means within a same row with different superscripts are significantly different (p < 0.05).

Download Excel Table

This can be explained by the deposition of more protein by estrogen of gilt hormone. According to Christoffersen et al. [30], castration almost eliminates testosterone. However, testosterone deficiency can increase food intake and body fat, resulting in a large amount of fat deposition. Combining this with the study of Escobar-Morreale et al. [31] showing that low testosterone levels in men could cause abdominal obesity, it can be seen that amounts of pork belly and fat contents in barrows are higher than those in gilts. Newcom et al. [32] have shown a trend consistent with the finding of higher production of pork belly from barrows than from gilts. However, in the study of Kress et al. [22], gilts showed no significant difference value compared to barrows (p < 0.0001). Such differences in results between the study of Kress et al. [22] and the present study might be due to different breed of pigs used in the experiment. From results shown in Table 7, proportions of pork belly from gilts and barrows were consistent results of a previous study [10,33] showing that pork belly accounted for 13%–18% of carcass weight. Lean meat percentage of pork belly was 22%–55% and Fat percentage was 20%–60%, consistent with above results. In addition, the ratio of subcutaneous fat in pork belly fat was double that of intermuscular fat. According to Hoa et al. [10], Pork belly with a high fat ratio (fat > 31%) was found to have higher meat quality, fatty acid content, and flavor compound, which were important for eating quality. Therefore, both gilts and barrows showed a high-fat content (over 31%) of pork belly. Thus, it could be considered that the taste of pork belly from both sexes is good. According to Kim [26], when sensory of pork belly with less than 40% fat was compared to that of pork belly with 40% to 45% fat, pork belly with more than 40% fat showed higher juiciness, tenderness, flavor, fattiness, and overall Palatability. However, there was no significant difference value. However, based on the data that the preference for pork belly with intermuscular fat content of 13% to 15% is the highest [34] and that the highest successful bid price is formed [35], It is thought that the pork belly of barrows is more preferred. It was found that the amount of intermuscular fat had a significant correlation with both taste and flavor of meat [36].

Correlation analysis was conducted to investigate the relationship between carcass weight and weights of seven primal cuts according to grade and between backfat thickness and weights of seven primal cuts (Tables 8 and 9). In both gilts and barrows, correlations between carcass weight and seven primal cuts showed generally high values. However, correlations between backfat thickness and seven primal cuts showed low values. In the case of gilts, the correlation between the amount of pork belly and carcass weight was 0.725 for grade 1+, 0.901 for grade 1, and 0.960 for grade 2, indicating a high correlation coefficient (p < 0.01). In the case of barrows, the correlation between the amount of pork belly and carcass weight was 0.714 for grade 1+, 0.888 for grade 1, and 0.9492 for grade 2, showing a high correlation coefficient (p < 0.01). Correlations between carcass weight and weights of seven primal cuts showed generally high correlation coefficients (p < 0.01, Table 8), whereas correlations between backfat thickness and weights of seven primal cuts showed low values, including negative values (p > 0.01, Table 8). Overall, correlation coefficients between carcass weight and seven primal cuts showed higher values as the grade decreased. On the other hand, correlation coefficients between backfat thickness and the seven primal cuts showed a tendency to increase with negative values as the grade decreased.

Table 8. Correlation coefficients between characteristics of carcass and weights of seven primal cuts of gilts
Items Belly Boston Butt Ribs Tenderloin Loin Picnic Shoulder Ham
Carcass weight
 1+ 0.725** 0.718** 0.880** 0.553** 0.401** 0.803** 0.635**
 1 0.901** 0.856** 0.948** 0.733** 0.579** 0.903** 0.799**
 2 0.960** 0.906** 0.968** 0.811** 0.670** 0.938** 0.864**
Backfat thickness
 1+ 0.239** −0.137** −0.066** −0.169** −0.168** −0.124** −0.155**
 1 0.469** 0.032** 0.149** −0.058** −0.127** 0.068** −0.015**
 2 0.648** 0.244** 0.372** 0.124** −0.002** 0.290** 0.184**

** p < 0.01.

Download Excel Table
Table 9. Correlation coefficients between characteristics of carcass and weights of seven primal cuts of barrows
Items Belly Boston Butt Ribs Tenderloin Loin Picnic Shoulder Ham
Carcass weight
 1+ 0.714** 0.702** 0.874** 0.534** 0.389** 0.389** 0.618**
 1 0.888** 0.841** 0.941** 0.714** 0.562** 0.562** 0.780**
 2 0.949** 0.885** 0.961** 0.778** 0.635** 0.924** 0.836**
Backfat thickness
 1+ 0.248** −0.100** −0.043** −0.129** −0.128** −0.128** −0.117**
 1 0.443** −0.001** 0.106** −0.080** −0.136** −0.136** −0.045**
 2 0.616** 0.169** 0.300** 0.056** −0.052** 0.219** 0.110**

** p < 0.01.

Download Excel Table

A regression analysis was performed to investigate relationships between carcass weight and seven primal cuts. Multiple regression analysis was performed with carcass weight as the dependent variable and the weight of each of the seven primal cuts as the independent variable. The linear regression equation between carcass weight and seven primal cuts by grade according to sex is shown as follows:

Gilts:

Grade 1+:

y = 6.723 1.578 x 1 0.892 x 2 + 52.001 x 3 + 5.507 x 4 + 14.578 x 5 14.123 x 6 1.660 x 7 ;

Grade 1:

y = 2.164 1.202 x 1 20797 x 2 + 54.464 x 3 + 5.766 x 4 + 19.602 x 5 14.98 x 6 1.7 x 7 ;

Grade 2:

y = 2.23518 1.016 x 1 9.906 x 2 + 49.406 x 3 + 4.869 x 4 + 31.954 x 5 13.012 x 6 1.33 x 7

Barrows:

Grade 1+:

y = 5.195 1.131 x 1 2.053 x 2 + 50.754 x 3 + 4.964 x 4 + 17.16 x 5 13.867 x 6 1.36 x 7 ;

Grade 1:

y = 0.0.37 0.276 x 1 5.46 x 2 + 51.419 x 3 + 4.943 x 4 + 24.98 x 5 13.958 x 6 1.351 x 7 ;

Grade 2:

y = 3.841 + 1.888 x 1 12.546 x 2 + 46.687 x 3 + 4.215 x 4 + 37.071 x 5 12.013 x 6 1.074 x 7

The coefficient of determination is divided into grades according to sex. For gilts, it was 0.943 for grade 1+, 0.984 for grade 1, 0.993 for grade 2. For barrows, it was 0.943 for grade 1+, 0.982 for grade 1, and 0.993 for grade 2, showing high values. These showed a similar trend to a previous study [15]. Park et al. [11] have made a regression equation without sex distinction, whereas this study created a regression equation between grades of carcass weight and 7 primal cuts weights by classifying sex. Considering that a fairly high coefficient of determination was obtained through the regression equation, it was thought that weights of the seven primal cuts divided by sex in the Korean pig industry could be easily predicted.

This study analyzed and compared to carcass characteristics of gilts and barrows, the weight of primal cut, and the characteristics of pork belly measured by AutoFom III. AutoFom III data were estimated with a mathematical formula developed based on anatomical experiments [37]. The reliability of the estimate has been proven in a previous study by Choi et al. [15]. Carcass weights of gilts were significantly higher than those of barrows (p < 0.05). For all cuts except for the pork belly, gilts showed higher values (p < 0.05) than barrows. Also, the increase in the amount of pork belly and the increase in body fat due to the lack of testosterone in barrows resulted in higher amounts of pork belly of barrows and higher muscle fat content than gilts. In other words, it is considered that the pork belly, which consumers prefer, appears more in barrows than in gilts. The proportion of intermuscular fat was also higher in the pork belly of barrows. Thus, it is thought that the pork belly of barrows is better than that of gilts.

Competing interests

No potential conflict of interest relevant to this article was reported.

Funding sources

This work was supported by the Dodram Quality Control Management Team of Dodram Pig Farmers Cooperative. The Korean Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry and Fisheries (IPET) through the Agri-Bioindustry Technology Development Program, funded by Ministry of Agriculture, Food and Rural Affairs (MAFRA) (Project No. 321028-5), Korea. Grant (715003-07) from the Research Center for Production Management and Technical Development for High Quality Livestock Products through Agriculture, Food and Rural Affairs Convergence Technologies Program for Educating Creative Global Leader, Ministry of Agriculture, Food and Rural Affairs.

Acknowledgements

This work was supported by the Dodram Quality Control Management Team of Dodram Pig Farmers Cooperative. The Korean Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry and Fisheries (IPET) through the Agri-Bioindustry Technology Development Program, funded by Ministry of Agriculture, Food and Rural Affairs (MAFRA) (Project No. 321028-5), Korea. Grant (715003-07) from the Research Center for Production Management and Technical Development for High Quality Livestock Products through Agriculture, Food and Rural Affairs Convergence Technologies Program for Educating Creative Global Leader, Ministry of Agriculture, Food and Rural Affairs.

Availability of data and material

Upon reasonable request, the datasets of this study can be available from the corresponding author.

Authors’ contributions

Conceptualization: Ko E, Park Y, Kim J.

Data curation: Ko E, Woo C, Choi J.

Formal analysis: Park Y, Kim J.

Methodology: Park Y, Kim J.

Software: Park Y.

Validation: Park K, Woo C.

Investigation: Ko E, Woo C, Kim K.

Writing - original draft: Park Y.

Writing - review & editing: Ko E, Park Y, Park K, Woo C, Kim J, Kim K, Choi J.

Ethics approval and consent to participate

This article does not require IRB/IACUC approval because there are no human and animal participants.

REFERENCES

1.

Cho SH, Park BY, Kim JH, Kim MJ, Seong PN, Kim YJ, et al. Carcass yields and meat quality by live weight of Korean native black pigs. J Anim Sci Technol. 2007; 49:523-30

2.

Hong KC, Kim BC, Son YS, Kom BK. Effects of the mating system on fattening performance and meat quality in commercial pigs. J Anim Sci Technol. 2001; 43:139-48

3.

Korean Society for the Study of Meat science. Meat science. 1st ed. Seoul: Sjprinting. 2018

4.

Font-i-Furnols M, Skrlep M, Aluwé M. Attitudes and beliefs of consumers towards pig welfare and pork quality. IOP Conf Ser Earth Environ Sci. 2019; 333:012002

5.

Prunier A, Bonneau M, von Borell EH, Cinotti S, Gunn M, Fredriksen B, et al. A review of the welfare consequences of surgical castration in piglets and the evaluation of non-surgical methods. Anim Welf. 2006; 15:277-89

6.

Oh SH, See MT. Pork preference for consumers in China, Japan and South Korea. Asian-Australas J Anim Sci. 2012; 25:143-50

7.

Choe JH, Yang HS, Lee SH, Go GW. Characteristics of pork belly consumption in South Korea and their health implication. J Anim Sci Technol. 2015; 57:22

8.

Fernandez X, Monin G, Talmant A, Mourot J, Lebret B. Influence of intramuscular fat content on the quality of pig meat - 2. Consumer acceptability of m. longissimus lumborum. Meat Sci. 1999; 53:67-72

9.

Hausman GJ, Basu U, Du M, Fernyhough-Culver M, Dodson MV. Intermuscular and intramuscular adipose tissues: bad vs. good adipose tissues. Adipocyte. 2014; 3:242-55

10.

Hoa VB, Seol KH, Seo HW, Seong PN, Kang SM, Kim YS, et al. Meat quality characteristics of pork bellies in relation to fat level. Anim Biosci. 2021; 34:1663-73

11.

Park Y, Ko E, Park K, Woo C, Kim J, Lee S, et al. Correlation between the Korean pork grade system and the amount of pork primal cut estimated with AutoFom III. J Anim Sci Technol. 2022; 64:135-42

12.

MAFRA [Ministry of Agriculture, Food and Rural Affairs]. Agriculture, food and rural affairs statistics yearbook 2019. Sejong: MAFRA. 2019Report No.: 11-1543000-000261-10

13.

KAPE [Korea Institute for Animal Products Quality Evaluation]. 2019 Animal products grading statistical yearbook. Sejong: KAPE. 2019Report No.: 11-B552679-000006-10

14.

Janiszewski P, Borzuta K, Lisiak D, Grześkowiak E, Stanisławski D. Prediction of primal cuts by using an automatic ultrasonic device as a new method for estimating a pig-carcass slaughter and commercial value. Anim Prod Sci. 2019; 59:1183-9

15.

Choi JS, Kwon KM, Lee YK, Joeng JU, Lee KO, Jin SK, et al. Application of AutoFom III equipment for prediction of primal and commercial cut weight of Korean pig carcasses. Asian-Australas J Anim Sci. 2018; 31:1670-6

16.

Kim J, Han HD, Lee WY, Wakholi C, Lee J, Jeong YB, et al. Economic analysis of the use of vcs2000 for pork carcass meat yield grading in Korea. Animals. 2021; 11:1297

17.

Kim JS. Consideration of big data utilization and related technologies. J Korea Contents Assoc. 2012; 10:34-40

18.

Boler DD, Puls CL, Clark DL, Ellis M, Schroeder AL, Matzat PD, et al. Effects of immunological castration (Improvest) on changes in dressing percentage and carcass characteristics of finishing pigs. J Anim Sci. 2014; 92:359-68

19.

Kline RB. Principles and practice of structural equation modeling. New York, NYGuilford Publications 2015

20.

Larzul C, Lefaucheur L, Ecolan P, Gogué J, Talmant A, Sellier P, et al. Phenotypic and genetic parameters for longissimus muscle fiber characteristics in relation to growth, carcass, and meat quality traits in large white pigs. J Anim Sci. 1997; 75:3126-37

21.

Kim GW, In BS. Carcass grade and characteristics by carcass weight and backfat thickness of pigs. Korean J Food Sci Anim Resour. 2006; 26:183-8

22.

Kress K, Hartung J, Jasny J, Stefanski V, Weiler U. Carcass characteristics and primal pork cuts of gilts, boars, immunocastrates and barrows using AutoFOM III data of a commercial abattoir. Animals. 2020; 10:1912

23.

Claus R, Weiler U. Endocrine regulation of growth and metabolism in the pig: a review. Livest Prod Sci. 1994; 37:245-60

24.

Tanghe S, Millet S, Hellebuyck S, Van Meensel J, Buys N, de Smet S, et al. Effect of sex and sire on lean meat percentage and weight of primal cuts of pork using Autofom data. In: EAAP scientific committee, editor. Book of abstracts of the 66th Annual Meeting of the European Federation of Animal Science. Warsaw: Wagening Academic. 2015; p. p. 166

25.

Poulsen Nautrup B, Van Vlaenderen I, Aldaz A, Mah CK. The effect of immunization against gonadotropin-releasing factor on growth performance, carcass characteristics and boar taint relevant to pig producers and the pork packing industry: a meta-analysis. Res Vet Sci. 2018; 119:182-95

26.

Kim H. Shape and characteristics of Korean’s favorite pork belly. Food Sci Anim Resour Ind. 2015; 4:30-44

27.

Walstra P. Growth and carcass composition from birth to maturity in relation to feeding level and sex in Dutch Landrace pigs. [Ph.D. dissertation]. Wageningen, NederlandWageningen University and Research 1980

28.

Correa JA, Faucitano L, Laforest JP, Rivest J, Marcoux M, Gariépy C. Effects of slaughter weight on carcass composition and meat quality in pigs of two different growth rates. Meat Sci. 2006; 72:91-9

29.

Fredeen HT. Yields and dimensions of pork bellies in relation to carcass measurements. J Anim Sci. 1980; 51:59-68

30.

Christoffersen BO, Gade LP, Golozoubova V, Svendsen O, Raun K. Influence of castration-induced testosterone and estradiol deficiency on obesity and glucose metabolism in male Göttingen minipigs. Steroids. 2010; 75:676-84

31.

Escobar-Morreale HF, Álvarez-Blasco F, Botella-Carretero JI, Luque-Ramírez M. The striking similarities in the metabolic associations of female androgen excess and male androgen deficiency. Hum Reprod. 2014; 29:2083-91

32.

Newcom DW, Baas TJ, Mabry JW, Goodwin RN. Genetic parameters for pork carcass components. J Anim Sci. 2002; 80:3099-106

33.

Soladoye PO, Shand PJ, Aalhus JL, Gariépy C, Juárez M. Pork belly quality, bacon properties and recent consumer trends. Can J Anim Sci. 2015; 95:325-40

34.

Jung HH. Scientific analysis of fat content with ultrasonic sensor…I found it! The taste of pork belly that Koreans like. [Special report] [Internet]. Maeil Business News Korea. 2022[cited 2022 Sep 15] https://www.mk.co.kr/news/economy/view/2022/05/386053/

35.

Koh EY. A Study on the improvement of pork quality using the automatic classification mechanical determination system (Autofom III) [Internet]. Pig&Pork Handon. 2021[cited 2022 Sep 15] https://www.pignpork.com/news/articleView.html?idxno=740

36.

Frank D, Joo ST, Warner R. Consumer acceptability of intramuscular fat. Korean J Food Sci Anim. 2016; 36:699-708

37.

Brøndum J, Egebo M, Agerskov C, Busk H. On-line pork carcass grading with the Autofom ultrasound system. J Anim Sci. 1998; 76:1859-68

38.

Korea Ministry of Agriculture. Food and Rural Affairs Notification 2014-4. 2014[cited 2021 Sep 10] Available from: http://www.law.go.kr/LSW//admRulInfoP.do?amnRulseq=2100000196314&chrClsCd=10201