Open access

Differences in muscle characteristics of piglets related to the sow parity

Publication: Canadian Journal of Animal Science
1 December 2013

Abstract

da Silva, A., Dalto, D., Lozano, A., de Oliveira, E., Gavioli, D., de Oliveira, J., Jamile, Romero, N. and da Silva, C. 2013. Differences in muscle characteristics of piglets related to the sow parity. Can. J. Anim. Sci. 93: 471–475. Two hundred forty-three piglets were obtained from 81, 1st through 7th parity sows to determine the influence of sow's parity on piglets’ myogenesis. Those piglets weighing close to or equal to the average weight of their litter were sacrificed, and their semitendinosus muscles were collected to determine the secondary muscle fiber number, area and weight. The number of secondary muscle fibers was correlated with muscle weight (P<0.05; 0.39) and muscle area (P<0.001; 0.63), and muscle area and weight were also correlated (P<0.001; 0.64). Weights of piglets at birth had a correlation with number of muscle fibers (P<0.05; 0.39), muscle area (P<0.001; 0.54) and muscle weight (P<0.001; 0.73). The piglets’ birthweights and muscle weight, muscle area and muscle secondary fiber numbers increased quadratically as parity increased (R 2=0.56, 0.36, 0.44, 0.64 and 0.54; P<0.05, respectively). The results of this study indicate that parity influences the pre-natal development of piglets and that the best muscle characteristics of piglets born from 3rd and 4th parity sows were responsible for their higher weight at birth.

Résumé

da Silva, A., Dalto, D., Lozano, A., de Oliveira, E., Gavioli, D., de Oliveira, J., Jamile, Romero, N. et da Silva, C. 2013. Différences reliées à la parité de la truie dans les caractéristiques du tissu musculaire des porcelets. Can. J. Anim. Sci. 93: 471–475. Deux cent quarante-trois porcelets ont été obtenus de quatre-vingt-une truies allant de la 1re à la 7e parité pour déterminer l'influence de la parité de la truie sur la myogenèse des porcelets. Les porcelets dont le poids était égal à (ou presque) la moyenne de la portée ont été sacrifiés et leurs muscles semi-tendineux collectés pour déterminer le nombre, la surface et le poids des fibres musculaires secondaires. Il y avait une corrélation entre le nombre de fibres musculaires secondaires et le poids du muscle (P<0,05; 0,39) et la surface du muscle (P<0,001; 0,63). Il y avait aussi une corrélation entre la surface musculaire et le poids (P<0,001; 0,64). Il y avait une corrélation entre le poids des porcelets à la naissance et le nombre de fibres musculaires (P<0,05; 0,39), la surface musculaire (P<0,001; 0,54) et le poids du muscle (P<0,001; 0,73). Le poids à la naissance des porcelets et le poids des muscles, la surface des muscles et le nombre de fibres musculaires secondaires augmentaient de façon quadratique lorsque la parité augmentait (R 2=0,56; 0,36; 0,44; 0,64 et 0,54; P<0,05 respectivement). Les résultats de cette étude indiquent que la parité influence le développement prénatal des porcelets et que les meilleures caractéristiques musculaires provenant de porcelets nés de truies de 3e et 4e parité sont responsables de leur poids à la naissance plus élevé.
The total number of born piglets increases with parities, but the higher prolificacy results in lower individual average birthweights and more heterogeneous litters. Variations in piglets’ birthweights are related to their number of muscular fibers resulting in variable performances after birth (Rehfeldt and Kuhn 2006).
The skeletal muscle in mammals begins to be developed in the embryonic stage, and continues during the fetal and the post-natal phases, corresponding to primary, secondary and post-natal myogenesis, respectively. Ashmore et al. (1973) found that the primary muscle fibers are already present in the pig fetus at 35 days of gestation and Wigmore and Stickland (1983) had shown that the hyperplasia of the muscular fibers is completed at about 85 to 90 days of gestation.
There are three different types of muscle fibers, called primary and secondary fibers and satellite cells. Dwyer et al. (1994) had shown that the primary muscle fibers represent only a small proportion in the total number of muscle fibers, ranging about 5%. However, these fibers act as a base for the development of the secondary muscle fibers. The surface of primary fibers is proportional to the number of secondary muscle fibers which represents about 95% of the total number of fibers in the muscle (Kelly and Zacks 1969).
According to Wigmore and Stickland (1983) and Foxcroft et al. (2006), primary muscle fibers are resistant to environmental changes whereas secondary fibers are susceptible to a large range of pre-natal events related mainly to nutritional factors and intra-uterine environment during pregnancy.
Given that sow's parity influences litter size and piglets’ birthweight, this study was designed to test the hypothesis that differences in muscle characteristics of piglets are affected by parity and also that secondary muscle fiber number could affect piglets’ birthweight.

MATERIAL AND METHODS

Animals were used and cared for in accordance with the Committee of Ethics in Animal Use (CEUA) no. 26368.2012.23.
Eighty-one Topigs×Danbred sows from the 1st to the 7th parity and their litters were used to identify the differences in the semitendinosus muscle characteristics of piglets according to parity of sows. The sows were identified by ear tags and were given similar diets and husbandry conditions. Estrus detection was done by passing a young boar (8 to 12 mo of age) twice daily (between 0800 and 0900 and from 1600 to 1700). When estrus was detected, sows were inseminated at 24, 36 and 48 h after estrus and gilts were inseminated at 12, 24 and 36 h after estrus. For practical reasons, this timing was not strictly followed, but was quite close. Insemination was done within a week with 85 mL of semen (3×109 live sperm cells) from different boars distributed homogeneously over all sows in order to avoid any boar effect.
The sows were allocated into individual cages during gestation and into maternity pens during lactation. All of them had similar backfat thickness (determined using P2 ultrasonic measurement) and feed intake during gestation was restricted at 2.5 kg−1 animal−1 d−1 until 84 d of gestation and 3.5 kg animal−1 d−1 between 85 and 114 d of gestation. At 111 d of pregnancy, the sows were transferred to the maternity pen. They received no feed on the day of delivery. The diet is described on Table 1.
Table 1.
Table 1. Composition of experimental diets used for the gestation (0 d gestation until parturition) period
z
z Previtamin and mineral mix (nutrient per kilogram product): vitamin A, 1250.00 IU; vitamin D3, 250000 IU; vitamin E, 8.750 mg; vitamin K3, 150 mg; vitamin B1, 125 mg; vitamin B2, 1.125 mg; vitamin B6, 150 mg; vitamin B12, 4500 mcg; niacin, 3750 mg; calcium pantothenate, 3.250 mg; folic acid, 400 mg; biotin, 50 mg; choline chloride, 75 g; Fe, 12.25 g; Cu, 5.250 mg; Mn, 8.750 mg; Zn, 26.25 g; iodine, 350 mg; selenium, 5 mg kg−1.
Piglets’ birthweight (within 5 min after birth), gender, total number of piglets born, and the numbers of piglets born alive were recorded. The litter's average weight was calculated, and the piglets with weights equal to or near to the litter average weight were sacrificed (three piglets per sow, totaling 233 piglets) for the collection of the semitendinosus muscles. The muscles were weighed and stored for 24 h in Bouin's solution for fixation and later preserved in 70% alcohol.
The muscle samples were submitted to dehydration in solutions of increasing concentrations of alcohol, diaphanized in xylol using an automatic tissue processor Leica TP1020, embedded in paraffin, and then mounted on histological slides. Sections 5 µm thick were cut from the middle portion of the muscle using a rotary microtome LAB-MR500 and stained with hematoxylin and eosin for histological evaluation. Motic Images Plus 2.0 software was used to obtain the images and to measure the area of the semitendinosus muscle, and the number of secondary muscle fibers was estimated by counting eight randomly selected fields (36.7 mm2 per field) from each slide using an Olympus BX 50 microscope. Knowing the total area of the muscle, the area of the field, and the average number of fibers per fields, it was possible to estimate the total number of secondary muscle fibers in the whole muscle by simple multiplying these variables.
Data were analyzed using SAS software (Littell et al. 1996) as a completely randomized design, with unequal frequencies. Homogeneity of the data was tested using Bartlett's Test for homogeneity of variance. To evaluate the effect of parity on each characteristic, regression trials were done considering the sow as an experimental unit (the average of the three piglets euthanized per sow) and the correlation between characteristics was tested by Pearson Correlation. For the evaluation of gender and weight class on muscle fiber number, a 3×2 factorial arrangement (weight class and gender) was used. The model was:
where Y ij is the dependent variable, m is a constant; T i is the weight classs effect, S j is the gender effect, T sij is the weight class and gender interaction, and e ij is the residual error. When treatment effects were significant a Tukey test at 0.05% was performed, considering each piglet as an experimental unit and gender and weight class as treatments.

RESULTS AND DISCUSSION

Several reports have studied the impact of nutrition during gestation on fetal and post-natal development (Wigmore and Stickland 1983; Dwyer et al. 1994; Musser et al. 2004; Nissen et al. 2003; Gatford et al. 2003; Bee 2004; Ferguson et al. 2006; Karunaratne et al. 2007; Cerisuelo et al. 2009; Rehfeldt et al. 2012) as well as line, gender, litter size and additive genetic variation (Miller et al. 1975) on porcine muscle development. The present results present a new perspective in this regard – the effect of parity.
No significant effect of gender was found for body weight of piglets, number of muscle fibers, or semitendinosus muscle weight and area at birth. The effect of gender on muscle area is controversial. Some authors have shown larger muscle areas in gilts than in barrows (Solomon et al. 1990; Larzul et al. 1997), whereas others found no differences (Sosnicki 1987; Ender 1994). According to Bee et al. (2004), these results illustrate the difficulty in sampling procedures and analyses techniques for myofiber counting due to the high subjectivity.
A quadratic effect of parity was found on the semitendinosus muscle weight of the piglets at birth (P<0.05; R 2=0.44), the semitendinosus muscle area (P<0.05; R 2=0.64), and the number of secondary muscle fibers (P<0.05; R 2=0.54) (Fig. 1).
Fig. 1.
Fig. 1. Influence of parity on (a) the semitendinosus muscle weight (y=2.57481+0.393311 x – 0.06207 x 2, R 2=0.44); (b) the semitendinosus muscle area (y=55.6516+6.01861 x – 0.928982 x 2, R 2=0.64), and (c) the number of secondary muscle fibers (y=349816+28102.9 x – 3747.45 x 2, R 2=0.54).
Due to the larger number of muscle fibers to be formed, the secondary myogenesis can vary substantially (Zhu et al. 2008) depending on the sow's age and parity, the genotype, the placental and uterine size and functional capacity, the uteroplacental transfer of nutrients and oxygen, and the metabolic and hormonal status of the embryo (Ashworth et al. 2001; Reynolds et al. 2005). Young sows (parities 1 and 2) are still growing during their gestation and, therefore, they have proportionally higher energy and protein requirements than adult sows (Eissen et al. 2000). In this regard, parity can affect the partition of nutrients between the maternal and the embryonic tissue, and prenatal undernutrition is related to lower muscle fiber numbers, myonuclear numbers, or muscle DNA content (Wigmore and Stickland 1983; Handel and Stickland 1987; Dwyer and Stickland 1991; Rehfeldt et al. 2001).
Also, considering that the skeletal muscle is not a priority during the early development of embryos (Zhu et al. 2008), it is reasonable to suggest that embryo requirements for muscle development are not met during late gestation, as suggested by Nissen et al. (2004), in young sows, resulting in an impaired development of the muscular tissue when compared with 3rd and 4th parity sows.
Intrauterine crowding could be the main cause of this impairment in high parity sows (parities 5, 6, 7). Town et al. (2004) have suggested that intrauterine crowding on the 30th day of gestation can affect muscle fiber differentiation through a down expression of some myogenesis-regulating factors, and Foxcroft and Town (2004) hypothesized that intrauterine crowding could affect the development of fetal organs and muscle fiber and type, as intrauterine growth retardation does.
There were positive correlations for the weight of the semitendinosus muscle and the number of muscle fibers (P<0.05; 0.39), for the area of the muscle and the number of muscle fibers (P<0.001; 0.63) and for muscle area and semitendinosus muscle weight (P<0.001; 0.64).
Together, these results suggest that 3rd and 4th parity sows are not affected, or are less affected, by factors impairing fetal growth, resulting in better fetal muscular characteristics, in particular muscle weight and muscle area, which improves fetal development by a higher muscle growth rate due to better protein turnover, as shown by Nissen et al. (2004).
Parity had a quadratic effect (y=11.2174+2.3573 x – 0.20489 x 2, R 2=0.66) on the total number of piglets born, on average birthweight (P<0.05; R 2=0.54), and a tendency to a linear effect (y=13.02+0.268931 x, R=0.07) on the number of piglets born alive (Table 2). It is known that parity influences productivity, mainly because of the number of piglets born alive and the average litter weight (Holanda et al. 2005; Cavalcante-Neto et al. 2011). Our results partially agree with those of Mahan and Peters (2004), who found that the total pigs born tended to increase as parity increased, but there was parity effect on the number of live pigs, and litter and 0-d-old pig weights increased as parity increased.
Table 2.
Table 2. The influence of parity on the total number of piglets born per litter, number of piglets born alive, average birth weight, muscle fiber numbers, semitendinosus muscle weight and areaz
z
z TBL, total born per litter; TBA, born alive; TLB, total litter birth weight; ABW, average birth weight; MFN, muscle fibers number; MW, muscle weight; MA, muscle area.
y
y Within a row, there is a quadratic effect as parity increases (P<0.05).
The highest litter birth weight was achieved by 4th parity sows, with 1.16% and 5.24% differences compared with 5th and 3rd parity sows, the second and third best results, respectively, being 4.03% the difference between them. The higher litter birth weight for 5th parity sows when compared with 3rd parity sows was due to the total number of piglets born, which was 9.15% higher. In addition, the highest average birth weight was found in 3rd parity sows (5.56% higher than 5th parity sows), followed by 4th and 2nd parity sows.
There were correlations for piglets’ birth weights and muscle weight (P<0.001; 0.73), muscle area (P<0.001; 0.54), and number of muscle fibers in the semitendinosus muscle (P<0.05; 0.39). These results show that the greater weight of piglets at birth was mainly due to semitendinosus muscle weight and secondarily to muscle area, and not to semitendinosus muscle fiber number. However, an influence of piglets’ weight class on the number of semitendinosus secondary muscle fibers (Table 3) was also found, where light-weight piglets had lower numbers of semitendinosus secondary muscle fibers when compared with heavier piglets.
Table 3.
Table 3. Influence of piglet's weight class on piglets’ number of semitendinosus muscle fibers
a, b Within a column, means without a common letter differ (P<0.05).
This result is in agreement with many authors (Powell and Aberle 1980, 1981; Wigmore and Stickland 1983; Handel and Stickland 1987; Foxcroft et al. 2006; Tristán et al. 2009) who observed that light-weight piglets had a lower total number of muscle fibers due to a lower number of secondary muscle fibers, compared with heavy piglets. Nissen et al. (2004) found greater amounts of DNA and RNA per fiber in high-weight pigs than in low-weight pigs and suggested that this supports an increased protein turnover.
Moreover, Rehfeldt and Kuhn (2006) observed lower muscular protein concentration and activity of creatine kinase (a marker of muscular differentiation) in low-weight than in high-weight piglets.
These results suggest that the higher number of fetuses in high parity sows, which can mimic intrauterine growth retardation, affects fetal development by reducing the average birth weight, due at least in part by impairing muscle accretion, as suggested by Alvarenga et al. (2013). Even with a low correlation between birth weight and the number of secondary fibers in the muscle, these fibers are important during fetal development, since impairment in prenatal cell proliferation, differentiation, and protein accretion in secondary muscle fibers leads to low-weight piglets (Rehfeldt and Kuhn 2006).

CONCLUSIONS

The present study showed that piglets’ birth weights were affected by muscle characteristics. However, the birth weight had the strongest correlation with muscle weight and not with secondary muscle fiber number, as it was hypothesized. These results also indicate that parity would be an important factor influencing fetus development in terms of myofibers.

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Information & Authors

Information

Published In

cover image Canadian Journal of Animal Science
Canadian Journal of Animal Science
Volume 93Number 4December 2013
Pages: 471 - 475

History

Received: 8 April 2013
Accepted: 4 July 2013
Version of record online: 1 December 2013

Key Words

  1. Piglet
  2. sow
  3. pregnancy
  4. parity
  5. myogenesis

Mots-clés

  1. Porcelet
  2. truie
  3. gestation
  4. parité
  5. myogenèse

Authors

Affiliations

A. da Silva
Londrina State University - Animal Science, Londrina, Paraná, Brazil
D. Dalto
Londrina State University - Animal Science, Londrina, Paraná, Brazil
A. Lozano
Londrina State University - Animal Science, Londrina, Paraná, Brazil
E. de Oliveira
Londrina State University - Animal Science, Londrina, Paraná, Brazil
D. Gavioli
Londrina State University - Animal Science, Londrina, Paraná, Brazil
J. de Oliveira
Londrina State University - Animal Science, Londrina, Paraná, Brazil
N. Romero
Londrina State University - Animal Science, Londrina, Paraná, Brazil
C. da Silva
Londrina State University - Animal Science, Londrina, Paraná, Brazil

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