Figures
Abstract
The Angler Saddleback pig is an endangered local breed originating from Germany. The breed is said to have low demands in terms of husbandry and feeding, and an excellent meat quality. To date, there is a lack of more recent scientific investigations of the breed. Therefore, 58 Angler Saddleback pigs were fattened in two consecutive trials whereby performance, carcass quality and meat quality were assessed. At an average age of 324 days, the pigs reached an average final live weight of 143 kg, an intramuscular fat (IMF) content of 2.6%, a lean meat percentage of 47% and a backfat thickness of 38 mm. A significant influence of the independent variables “breeder” and “age at the end of fattening” on the majority of target variables was found. Furthermore, IMF as well as pH value 45 minutes post mortem was significantly influenced by sex. These results give a current overview of the phenotypic characteristics of this endangered breed. It is shown that the slower growing Angler Saddleback breed may need alternative marketing concepts for its meat and meat products. Additionally, further research is necessary to clarify the reasons for the high phenotypic variation within this breed.
Citation: Olschewsky A, Krieger M, Hoischen-Taubner S, Mörlein D, Klingel S, Thaller G, et al. (2024) Performance, carcass quality and meat quality of the endangered German Angler Saddleback pig. PLoS ONE 19(4): e0300361. https://doi.org/10.1371/journal.pone.0300361
Editor: Aziz ur Rahman Muhammad, University of Agriculture Faisalabad, PAKISTAN
Received: October 11, 2023; Accepted: February 23, 2024; Published: April 30, 2024
Copyright: © 2024 Olschewsky et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: The dataset analyzed during the current study was published in a data repository and is publicly available on: https://doi.org/10.48662/daks-29.
Funding: This work was funded by the EU within the framework of the “European Innovation Partnership” (EIP Agri) and the “Landesprogramm Ländlicher Raum (LPLR) des Landes Schleswig-Holstein” (SK, GT and DH). URL: https://www.eip-agrar-sh.de/home The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Due to the limited size of the fund, no grant number was assigned.
Competing interests: The authors have declared that no competing interests exist.
Introduction
In Germany, pork is by far the most consumed meat [1]. Due to their high lean meat percentage (LMP), the use of commercial hybrid lines dominates the production of pig meat. Aside carcass weight, LMP is the decisive trait as per the currently used payment schemes of slaughterhouses in Germany [2]. Consequently, carcasses (and the meat) of slower growing local pig breeds like the Angler Saddleback pig are economically disadvantageous because of a higher fat amount [3]. However, higher fat contents, especially in the form of intramuscular fat (IMF), can positively influence taste and tenderness as important sensory qualities of pork [4, 5]. This might be one reason why the meat of Angler saddleback pigs is (said to be) valued by connoisseurs [3].
The Angler Saddleback pig is an endangered local breed, originating from the Northern part of Germany. Although this breed has a very low population size of 94 female and 26 male herdbook-registered pigs [6], lively activities of the Angler Saddleback breeders are documented. The breeders are organized in an association and an Angler Saddleback herdbook has been established since the year 1929 [3]. In contrast to the usual feeding practices on commercial pig farms, which are mainly based on concentrated feed, the Angler Saddleback breed is said to make good use of regional feeds including high amounts of roughage [7]. The ability to utilise alternative local feed resources could be an advantage in the context of rising feed prices. The Angler Saddleback breed is mainly kept in traditional smallholder and free-range systems, a more natural environment which could contribute to better animal welfare, and is generally considered robust and less demanding [8].
Altogether, the traditional husbandry system of Angler Saddleback pigs and the production of high-quality meat products are valuable for the region of origin. Furthermore, the breed’s less demanding nature in terms of feed and husbandry might be important in the future when livestock management may face challenges that are unknown today [9]. Therefore, it may be worthwhile to conserve this animal genetic resource. However, there is a lack of current scientific evidence going beyond genetic analyses and shedding light on the phenotypic characteristics of the breed. Evidence of its beneficial traits could contribute to the promotion and conservation of the breed.
Against this background, the present study focused on general performance, carcass and meat quality of Angler Saddleback pigs, wherein the following research questions where considered (i) What growth performance and carcass quality as well as meat quality do Angler Saddleback pigs achieve under (semi-)controlled conditions? (ii) Do batch, sex, breeder (origin of the piglets) and age influence target variables describing these performance and quality aspects?
To answer these questions, 60 Angler Saddleback pigs were reared and fattened, in two consecutive trials, on an experimental farm and parameters associated with growth performance, carcass quality and meat quality were assessed.
Animals, materials and methods
Ethic statement
The study was carried out in accordance with the German animal protection act [10]. The protocol for the investigations of performance, carcass and meat quality was reported to the Animal Welfare Officer of the University of Kiel without objection.
Pigs and husbandry
In total, 60 purebred Angler Saddleback pigs, which descended from herdbook-registered parents, were reared and fattened in two consecutive trials. Due to the limited availability of piglets, 21 female and 19 castrated males were included in the first batch (October 2018 to May 2019), whereas the second batch (February 2020 to October 2020) consisted of 11 females and 9 castrated males. The animals came from five different breeders from Northern Germany. In the first batch the pigs from breeder 1 (n = 15), 2 (n = 15) and 3 (n = 10) were investigated and in the second batch from breeder 4 (n = 3) and 5 (n = 15). At the beginning of the fattening period, the pigs were between 66 and 147 days old. This was also a consequence of the insufficient availability of animals due to the overall low population size. In order to achieve similar live weights and to compensate for the different age of the animals, two slaughter dates were carried out per batch. Consequently, the pigs were slaughtered at an age between 282 and 377 days. Two death losses occurred in batch 2 (one male and one female), resulting in a total of 58 pigs in the final data set.
The husbandry was conducted in concordance with the Animal welfare—farm animal husbandry ordinance [11]. The pigs were kept in single compartments with solid flooring and straw bedding, and without control of temperature and ventilation (semi-controlled conditions). They were fed with a slightly energy and protein reduced commercial diet, divided into two phases and based mainly on wheat and rapeseed meal (Table 1). Daily concentrate amounts were restricted and ranged between 1.5 and 3.0 kg fresh matter (FM) per pig per day. The change from grower to finisher diet took place for each animal individually at a weight of 60 kg. By this, an excessive fat content in the meat was to be prevented and the previously described lower nutritional demands of the breed were met. In addition to the concentrated feed, grass-clover silage (2nd and 3rd cut) was offered to the animals with no further analysis of the nutrient composition. Silage amounts ranged from 1.5 to 3.0 kg FM per pig per day. Feed amounts were measured only for batch 2 and on a volume basis, i.e. buckets for concentrate and wheelbarrows for silage, and the average weight of each measure was determined at the start of the batch.
Performance, carcass and meat quality measures
As two slaughterings were carried out per batch, only a small group of animals had to be transported to the slaughterhouse, respectively. Transportation distance was 25 km and the pigs were handled carefully by staff familiar with the pigs. The animals were slaughtered in accordance with the requirements of the EU regulation on the protection of animals at the time of killing [13] in a small countryside slaughterhouse. The pigs were individually stunned with an electrical tong followed by sticking and bleeding. Scalding and dehairing was done by machine with some manual finishing. The carcasses were directly transferred to the cold room and were chilled at 3°C until the next day. All post mortem measurements were conducted in the slaughterhouse by trained staff following the German “Richtlinie für die Stationsprüfung auf Mastleistung, Schlachtkörperwert und Fleischbeschaffenheit beim Schwein” [Guideline for station testing for fattening performance, carcass value and meat quality in pigs] [14]. For calculating performance traits, live weight at the start of the rearing and again before slaughter was used. The average daily weight gain per pig was computed as the quotient of summarized weight gain per animal and the total housing period (days). Carcass weight was determined directly after gutting. Dressing percentage was calculated by dividing the carcass weight by the live weight of the animal immediately before slaughter and expressing the result as a percentage. The cutting was conducted 24 hours after slaughter and the weight of the valuable parts were taken. Backfat thickness was calculated based on the measurement at three points (thickest part of the withers, thinnest part of the center of the back, thinnest overlay of the M. glutaeus medius). To assess meat quality, the pH-value was measured 45 minutes (pH45) and 24 hours (pH24) post mortem in the loin muscle (M. Longissimus thoracis et lumborum) between the 2nd and 3rd last rib and ham (M. semimembranosus), 6 cm above the aitch bone using the pH-Star device (Matthäus, Pöttmes, Germany). Electric conductivity was assessed 45 minutes and 24 hours post mortem in the loin muscle and ham using the LF-Star-device (Matthäus, Pöttmes, Germany). With the use of Opto-Star-device (Matthäus, Pöttmes, Germany), the brightness of the meat was measured on the cut and cleaned surface of the M. longissimus. Drip loss was assessed using the EZ-method and computed as the difference between the weight before and after a storage time of 24 hours [15]. Following Otto et al. (2004) [16], two meat samples were removed 24 hours post mortem from the 14th rib of the loin muscle using a circular knife. The samples were weighed (Ø 12 g), stored in drip loss containers and transported, under cooled conditions, to the laboratory at the University of Kiel where they were re-weighed.
Based on the “two point” method, LMP estimates were calculated using the following formula: LMP = 58,10–0,56 x backfat measurement (including rind) in mm + 0,13 x meat measurement (thickness of loin muscle) in mm. Therefore, backfat thickness was measured at the thinnest point of the backfat above the M. glutaeus medius, and muscle depth was measured as the shortest horizontal junction of the anterior (cranial) end of M. glutaeus medius to the superior (dorsal) edge of the spinal canal [17].
Additionally, samples for determination of IMF and dry matter were taken from M. longissimus between the 13th and 14th rib. Under cooled conditions, they were transported to the laboratory of the University of Kassel where the analyses were performed using Near Infrared Spectroscopy (FOSS NIRSystems, Hamburg, Germany). Analyses were based on an in-house calibration (R2 = 0.89, RMSEP = 0.26, range of the validation = 1.93–4.47), with a reference method including the crude fat content (according to VDLUFA 5.1.1) and the dry matter (seasand method).
Statistical analysis
Statistical analyses were conducted using R [18]. Because of distinct differences between the two batches (e.g. age at the start of the fattening and number of animals), descriptive analyses were done for each batch separately. Using the R package “FactoMineR” (v2.6, [19]), principal component analyses (PCA) of target variables and individuals were conducted and visualized with the package “factoextra” (v1.0.7, [20]). By default, the process of standardizing the variables is included in the “FactoMineR” package. Additionally, the possible influence of six independent variables (batch, breeder, sex, weight at the start of fattening and age at the start and end of fattening) on selected target variables of the domains growth performance, carcass quality and meat quality was assessed. Therefore, linear models were built using the lm() function. As a first step, the relationships between the regressors were tested for every model to avoid collinearity using mctest (v1.3.1, [21]). In all cases this resulted in a complete collinearity between the regressors ‘batch’ and ‘breeder 4’ and ‘breeder 5’. This result is plausible because breeders were split between batches and therefore the content of the two variables overlaps. Additionally, collinearity was detected for the independent variables ‘age at the start of fattening’ and ‘weight at the start of fattening’ against the variable ‘breeder’. According to the recommendation of Imdadullah et al. (2016) [22], the three regressors were then excluded from further analysis and only the variables ‘breeder’, ‘sex’ and ‘age at the end of fattening’ remained. Afterwards, a stepwise backward selection of the regressors based on the Akaike information criterion (AIC) value was conducted using olsrr (v0.5.3, [23]). Finally, the relationships between dependent and independent variables were visualized as boxplots using ggplot2 (v3.3.6, [24]).
Results
Growth performance, carcass quality and meat quality
As shown in Table 2, growth performance varied between the two batches. Pigs in batch 1 were stalled at a higher age, resulting in shorter fattening periods and lower weight gains. Batch 2 pigs showed larger (daily) weight gains and were heavier at the times of slaughter, although the age of slaughter was comparable between batches.
The resulting carcass quality traits are presented in Table 3. Dressing percentage was higher in batch 2 whereas LMP was slightly superior in batch 1. Absolute weights of valuable parts were generally higher in batch 2, which accords with the increased carcass weight, whereas the percentage (weight of the part in relation to carcass weight) was rather similar for both batches. Backfat thickness, in contrast, was much higher in batch 2 as compared to batch 1.
In terms of meat quality, the pH measured 45 minutes after slaughter in loin and ham (see Table 4) was in a normal range and did not take values below 6.0 indicating a PSE condition of the meat [25]. The limit for pH24 of ≤ 6.2 indicating DFD condition [26] was undercut with all results and therefore, a normal acidification is reflected. Electrical conductivity of Loin and ham 24 hours after slaughter was also in a normal range (≤ 7.8 mS/cm, [26]). The Opto-Star values for brightness were excellent for all measurements except for the results after 45 minutes in batch 2, which was still good (< 63 and ≥ 53) [27]. The result for the drip loss in batch 1 does not indicate quality defects, whereas the average drip loss in batch 2 slightly exceeds the limit of 5% [28]. As shown in Table 4, the IMF content was slightly higher in batch 2 with an average result of 2.9% in contrast to 2.5% in batch 1.
Relationships between variables and effects of influencing variables
As shown in Fig 1A, the results of the PCA give a first insight in the relationship between the target variables. On the one hand, the first principal component (PC1) explains 43% of the variance, which is due to carcass traits such as live and carcass weight as well as daily weight gain. On the other hand, PC2 is dominated by meat characteristics (e.g. loin pH 45 minutes and 24 hours post mortem) and explains 16.1% of the variance. Additionally, it can be drawn from the figure, that IMF and backfat thickness are clearly negatively correlated to LMP. Furthermore, an increase in life weight at the end of fattening is positively correlated with the increase of carcass and loin weight as well as daily weight gain. Additionally, it is shown that the pH value 45 minutes and 24 hours after slaughter is negatively correlated to drip loss (Fig 1A). The second part of Fig 1 shows the PCA of individuals grouped by breeder. From this visualization some signs of clustering regarding the assignment of the animals to their breeder are visible, especially for the animals of breeder 2 and 5 (Fig 1B).
Visualization of principal component analysis of target variables (a) and individuals (n = 58) grouped by breeder (b).
For most of the selected target variables related to growth performance (final live weight, carcass weight, daily weight gain and weight of loin), carcass quality (backfat thickness, LMP) and meat quality (loin pH 45 minutes, loin pH 24 hours and drip loss) significant differences between breeders were found. Only for the IMF and the loin pH value (45 minutes and 24 hours post mortem) this influence could not be confirmed in any cases as shown in Table 5. A significant effect of sex was detected for target variables related to carcass quality and meat quality. The age of the pigs at the end of the fattening had a significant influence on the majority of the studied variables except the IMF and loin pH45 and pH24 (Table 5).
In order to have a more detailed insight in the effects of the influencing variables, a selection of target variables was plotted against the most significant regressor (Figs 2 and 3). As shown in Fig 2, the results of target variables of growth performance as well as LMP and backfat thickness were plotted with distinction of the five breeders. IMF and pH value 45 minutes of loin were presented in Fig 3 with the distinction of results for female and barrows.
Breeders 1 to 3 provided animals for batch 1, breeders 4 and 5 provided animals for batch 2. Data points resemble individual animals, i.e. breeder 4 only provided three pigs.
Discussion
In the present study, 58 Angler Saddleback pigs were reared and fattened in single compartments under semi-controlled conditions. Furthermore, a two-phase feeding strategy with slightly reduced energy and protein contents and varying feed amounts was conducted to meet the expected lower nutritional demands of the breed and avoid excessive fat buildup. The number of animals per breeder and per batch as well as the age at the start of the fattening varied greatly. This was due to the overall very small population size and the therefore limited availability of piglets of the same age at the required time. Despite these limitations, the two trials were conducted by the same person in the same manner.
Due to the different age at the start of the fattening, the length of the housing periods varied between 219 days (batch 1) and 235 days (batch 2). By this, a similar age with on average 324 days at the end of the two batches could be realized. However, age at the end of fattening and fattening length was, in comparison to the common practice with modern breeds of around 162 days (age) and 90 days (fattening) [29], more than twice as high. For the majority of results of the three domains growth performance, carcass quality and meat quality, considerable differences between the two batches were found. As a possible explanation, it is important to state that the fattening period of batch 2 was longer and that the age at the start of the project was lower than for the animals in batch 1. This means that the pigs in batch 2 were fed for a longer period, and also in crucial periods of their development, with the grower diet than in batch 1. Furthermore, the husbandry and feeding conditions at the breeder farms, where the rearing took place, might have varied to a large extend. The Angler Saddleback pigs are mainly fed with varying components with less control of nutrient composition [7]. The pigs in batch 1 were therefore exposed for longer to the conditions on their farms of origin, which could therefore have affected their later development. This might be one reason why live and carcass weight at the end of fattening were negatively correlated with the live weight at the start of the fattening period as shown in the visualization of PCA results. The pigs with a lower weight at the beginning of the trials were for a longer time exposed to the conditions (e.g. the feeding regime) in the project and reached therefore higher performance results at the end of fattening.
Regarding growth performance, the Angler Saddleback pigs reached a final live weight of 139 kg (batch 1) and 152 kg (batch 2) with an average daily weight gain of 510 to 567 g per day in the two batches. Angler Saddleback pigs investigated by Brandt et al. (2010) reached a final weight of 116 kg with a distinctly higher daily weight gain of 779 g per day after 117 days of fattening [30], which might be explained by the lower final weight and a different diet composition in that trial. The closely related German Saddleback breed investigated by Nürnberg et al. (2013) reached an average carcass weight of 142 kg with an age of 343 days [31], which was higher than the carcass weight of 109 kg (batch 1) to 128 kg (batch 2) reached herein. The feed conversion herein (3.3 kg concentrate per kg of weight gain on average) was higher than reported for German commercial breeds (2.3 kg, [32]) but comparable with results found by Brandt et al. (2010) for Angler Saddleback pigs [30]. In our calculation, however, nutrient uptake through roughage was neglected, which means that, in this study, true feed conversion was even lower. Above that, the performance traits of the Angler Saddleback pig are partly comparable to other European local pig breeds. For Mangalitsa and Moravka breed from Serbia final live weights between 119 and 131 kg as well as a daily weight gain of 480 g and 545 g are reported [33]. Final live weights of Krškopolje pigs from Slovenia are distinct lower with on average 118 kg at 293 days of age [34].
In view of carcass quality, the assessed LMP was almost similar in the two batches and averaged at 47%. This value is higher than the one reported for German Saddleback pigs (39%, [31]) and Bunte Bentheimer, a comparable local breed also from Germany which reached 43% [35]. Angler Saddleback pig investigated by Brandt et al. (2010) reached an LMP of 49% [30] which is similar to the one found in this study, yet distinctly lower than LMP values of German commercial breeds (61%, [32]). However, the legally recognized methods for the estimation of LMP are intended for maximum carcass weights of 120 kg [17] which was slightly exceeded in batch 2. Furthermore, local pig breeds have certainly played a minor role in the development of the underlying formula of the “two point” method. Therefore, the accuracy of the estimation may have limitations. Backfat thickness in commercial pig breeds has decreased over the last decades due to the focus on LMP in breeding programs, and reaches today 17 mm in commercial German breeds [32]. The mean backfat thickness found in this study was 36 mm (batch 1) and 42 mm (batch 2), and was therefore more than twice as high as in commercial slaughter pigs. This corresponds to the range assessed for Angler Saddleback pigs (36 mm) by Brandt et al. (2010) [30] and for German Saddleback pigs (42 mm) [31]. As for a comparison to other European local pig breeds, with 44% a slightly lower amount of LMP is documented for Krškopolje pigs and in connection with this a slightly higher backfat thickness (38 mm) [34]. The same result for backfat thickness was also reported für Alentejano pig breed from Portugal. In contrast to that for Bisaro, another local pig breed from Portugal, a distinctly lower backfat thickness with 21 mm was found [36]. However, the two Portuguese breeds were slaughtered with a distinctly lower final live weight of 64 kg after 109 days on trial [36].
The meat quality assessments mostly showed no defects in terms of PSE (pale, soft and exudative) meat. The only exception was the drip loss in batch 2, that was with 6.5% slightly higher than the limit of 5% [28]. Additionally, loin and ham conductivity in batch 2 was with 6.8 and 7.8 just slightly below or equal to the cited limit of ≤ 7.8 mS/cm [26]. This indicates a decreased meat quality in comparison to batch 1, although no definite evidence of PSE meat. A reason for that might be inadequate cooling post mortem due to delays in the slaughter process. In comparable meat quality analyses of Bunte Bentheimer [35] and German Saddleback pigs [31], no signs of quality defects were found.
A high LMP content is usually associated with lower IMF amounts [37]. Therefore, commercial pig breeds usually reach IMF values below 2% [38]. The Angler Saddleback pigs reached an IMF percentage of 2.6%, which show slight differences between the two batches and also varied between individual animals. Similar IMF levels were found for Duroc pigs [39] and Schwäbisch-Hällisch pigs [40], whereas a distinctly lower IMF of 1.6% was detected for Bunte Bentheimer pigs [35]. For other local pig breeds higher IMF values were reported as for example 3.5% for Krškopolje pigs [34] and 5.1% for heavy Iberian pigs [41]. Bisaro and Alentejano breed reached an IMF of 5.5% and 6.7% [36]. In summary, the results provide further evidence that Angler Saddleback pigs show moderate increased IMF amounts compared to commercial pig breeds, with simultaneously a distinct higher backfat thickness and a lower LMP. In particular, the high IMF may be responsible for its praised sensory characteristics. However, further research is needed to substantiate these claims on improved palatability of Angler Saddleback pigs.
The analysis of influencing variables revealed an effect of breeder reflecting the origin of the piglets on the majority of target variables. The visualization of the target traits, with the distinction between the breeders, especially for live and carcass weight, showed differences between batch 1 and 2. In batch 2, where pigs came from breeder 4 and 5, the animals reached significantly higher live and carcass weights than the pigs in batch 1 (breeders 1 to 3). This was also the case for daily weight gain and loin weight, albeit with a less strong effect. Possible reasons for the differences between the batches have already been described in connection to the longer fattening period and the lower age at the start of the trial in batch 2. The visualization of LMP shows the highest results for pigs from breeder 2, although these animals had on average the lowest means for performance traits (e.g. daily weight gain and loin weight). As it is to expect the backfat thickness was lowest in the latter group (breeder 2) while being higher in the other groups from the remaining breeders. Differences between the animals from different breeders within one batch may reflect genetic heritage as well as husbandry conditions and management before the start of the fattening trial. The former may be related to the breeding management of Angler Saddleback pigs, which is carried out by small groups of breeders and may not be sufficiently coordinated in terms of breeding objectives, selection criteria, exchange of genetic resources etc. This could be also an explanation for the differences even among the pigs from one breeder. In summary, the present results indicate large phenotypic differences in economically important production traits (cf. the high standard deviations and partly high coefficients of variation in Tables 2–4). A similar variation is also reported for German Saddleback pigs [31].
A significant effect of sex on IMF was assessed, whereby barrows showed slightly higher IMF contents. The same effect of sex on IMF content of various pig breeds has been reported before [42–44]. The average pH45 of female pigs was slightly lower and thus in a less favourable range with regard to meat quality. This effect has not been detected in other studies [45, 46]. In summary, the detected effects of sex on the different parameters are partly supported by previous studies especially in view of the IMF. On the other hand, comparable studies have uncovered correlations that could not be confirmed from the present data. Among these is the reported effect of sex on backfat thickness and on final live weight [47] as well as on LMP [48].
All selected performance traits as well as carcass quality variables (except IMF) were significantly influenced by the age at slaughter. Pigs that were slaughtered at a higher age, had a higher live and carcass weight, as was expected. This also holds for loin weight and backfat thickness. LMP, on the other hand, decreased due to increasing fatness which is due to allometric growth of lean and fat tissue. These correlations are well documented and can be found, among others, in a review by Wood et al. 2008 [37].
Conclusions
The assessment of performance, carcass quality and meat quality of 58 purebred Angler Saddleback pigs gives a current-day insight in the phenotypic characteristics of this endangered local breed. As a main result, the data confirmed the Angler Saddleback’s status as a slower growing and thus fatty breed especially in view of its growth performance, LMP and backfat thickness. The overall higher amount of fat in the carcass and meat of the Angler Saddleback pigs may be responsible for the praised sensory characteristics of the meat. Although the IMF cannot be classified as particularly high, especially with regard to other local European pig breeds. The detected significant influence of the independent variable “breeder” on most of the target variables revealed a variability of the target variables between the pigs. Beyond the certain variation between the two batches, this indicates differences in husbandry and feeding conditions at the rearing farms, as well as a possible genetic variation within the breed. The latter may be caused by the less consideration of breeding objectives and selection criteria in the management of the breed. Further investigations are necessary to better distinguish between these influencing variables.
With regard to the practical importance, the presented results shed light on the properties of the Angler Saddleback pig which were previously largely unproven attributions. Among others this forms the base to develop suitable meat products with fitting marketing concepts especially in view of the reduced LMP. This in turn is an important step to make the breed profitable which is a sustainable strategy for the conservation of local breeds [49].
Acknowledgments
Special thanks go to Rudolf Hartwigsen and Helmut Krause (University of Kiel) who assisted in the care of the animals and the data collection. We also thank Rhea Brandemann (University of Kiel) who accompanied the first batch in several ways and Clemens Klindt (Lehr- und Versuchszentrum Futterkamp) who conducted the sample collection and investigations at the slaughterhouse. Finally, we would like to thank the staff of University of Kassel and University of Kiel who conducted the laboratory analyses.
References
- 1. DESTATIS. Globale Tierhaltung, Fleischproduktion und Fleischkonsum. Statistisches Bundesamt 2022. Available from: https://www.destatis.de/DE/Themen/Laender-Regionen/Internationales/Thema/landwirtschaft-fischerei/tierhaltung-fleischkonsum/tierhaltung-fleisch.html.
- 2. Henning M, Baulain U. Physiologische Grundlagen, Wachstum, Schlachtkörperzusammensetzung sowie Fleisch- und Fettqualität. 2006. Available from: https://literatur.thuenen.de/digbib_extern/bitv/dk037289.pdf.
- 3. Iversen H. Das Angler Sattelschwein. Gesellschaft zur Erhaltung alter und gefährdeter Haustierrassen e.V. 1997. Available from: https://www.g-e-h.de/geh-schweine/15-angler.htm.
- 4. Almeida J, Bressan MC, Santos-Silva J, Moreira O, Bettencourt C, Gama LT. Physicochemical characteristics and sensory attributes of meat from heavy-weight Iberian and F1 Large White × Landrace pigs finished intensively or in free-range conditions. J Anim Sci. 2018; 96:2734–46. pmid:29767730.
- 5. Pietruszka A, Jacyno E, Kawęcka M, Biel W. The Relation Between Intramuscular Fat Level in the Longissimus Muscle and the Quality of Pig Carcasses and Meat. Annals of Animal Science. 2015; 15:1031–41.
- 6. TGRDEU. Angler Sattelschwein. Zentrale Dokumentation Tiergenetischer Ressourcen in Deutschland 2020. Available from: https://tgrdeu.genres.de/nutztiere/suche-nutztiere/genetik-detaildarstellung/?tx_sttgrdeu_nutztier%5Baction%5D=genetikDetail&tx_sttgrdeu_nutztier%5Bcontroller%5D=Nutztier&tx_sttgrdeu_nutztier%5Bg_id%5D=610&cHash=bb4cc7101aa47bf3757cb934af059a65.
- 7.
Bevendorff M. Erfassung betrieblicher Eigenschaften und nicht genetischer Effekte in der Angler Sattelschweinzucht. B.Sc. Thesis, Universität Kassel. 2020.
- 8. GEH. Rassebeschreibung: Angler Sattelschwein. The Society for the Conservation of Old and Endangered Livestock Breeds (GEH) 2022. Available from: https://www.g-e-h.de/index.php/rassebeschreibungen/50-schweine/83-angler-sattelschwein.
- 9. FAO. The State of the World’s Biodiversity for Food and Agriculture. Food and Agriculture Organization of the United Nations. Available from: https://www.fao.org/3/CA3129EN/CA3129EN.pdf.
- 10. Tierschutzgesetz—in der Fassung der Bekanntmachung vom 18. Mai 2006 (BGBl. I S. 1206, 1313), das zuletzt durch Artikel 280 der Verordnung vom 19. Juni 2020 (BGBl. I S. 1328) geändert worden ist. TierSchG.; 19.06.2020.
- 11. Verordnung zum Schutz landwirtschaftlicher Nutztiere und anderer zur Erzeugung tierischer Produkte gehaltener Tiere bei ihrer Haltung (Tierschutz-Nutztierhaltungsverordnung). TierSchNutztV.; 30.07.2017.
- 12. Deutsche Landwirtschafts-Gesellschaft. Erfolgreiche Mastschweinefütterung. Frankfurt, M.; 2010.
- 13. Council Regulation (EC) No 1099/2009 of 24 September 2009 on the protection of animals at the time of killing.; 2009.
- 14.
Bundesverband Rind und Schwein e.V. Richtlinie für die Stationsprüfung auf Mastleistung, Schlachtkörperwert und Fleischbeschaffenheit beim Schwein. Bundesverband Rind und Schwein e.V. (BRS) 2019. Available from: https://www.rind-schwein.de/brs-schwein/leistungspruefung.html.
- 15. Rasmussen AJ, Andersson M, editors. New method for determination of drip loss in pork muscles.; 1996.
- 16. Otto G, Roehe R, Looft H, Thoelking L, Kalm E. Comparison of different methods for determination of drip loss and their relationships to meat quality and carcass characteristics in pigs. Meat Sci. 2004; 68:401–9. pmid:22062408.
- 17. Verordnung über gesetzliche Handelsklassen für Schweineschlachtkörper (Schweineschlachtkörper-Handelsklassenverordnung—SchwHKlV).; 2022.
- 18.
R Core Team. A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing 2021. Available from: https://www.R-project.org/.
- 19. Husson F, Josse J, Le S, Mazet J. FactoMineR: Multivariate Exploratory Data Analysis and Data Mining. R package documentation:. Available from: https://cran.r-project.org/web/packages/FactoMineR/index.html.
- 20. Kassambara A, Mundt F. factoextra: Extract and Visualize the Results of Multivariate Data Analyses. R package documentation:. Available from: https://cran.r-project.org/web/packages/factoextra/index.html.
- 21. Muhammad IU. mctest: Multicollinearity Diagnostic Measures. 2020. Available from: https://cran.r-project.org/web/packages/mctest/index.html.
- 22. Imdadullah M, Aslam M, Altaf S. mctest: An R Package for Detection of Collinearity among Regressors. The R Journal. 2016; 8:495.
- 23. Hebbali A. Package "olsrr". 2020. Available from: https://cran.r-project.org/web/packages/olsrr/olsrr.pdf.
- 24.
Wickham H. ggplot2. Elegant Graphics for Data Analysis. New York: Springer-Verlag; 2016.
- 25. Bendall JR, Swatland HJ. A Review of the Relationships of pH with Physical Aspects of Pork Quality. Meat Sci. 1988:85–126. pmid:22055884
- 26. Chizzolini R, Novelli E, Badiani A, Rosa P, Delbono G. Objective measurements of pork quality: Evaluation of various techniques. Meat Sci. 1993; 34:49–77. pmid:22060267
- 27. Yuan D, Yu H, Liu S, Hao L, Zhang J. Prediction and Experimental Verification of a Hierarchical Transcription Factor Regulatory Network of Porcine Myoglobin (Mb). Animals. 2021; 11. Epub 2021/12/19. pmid:34944373.
- 28. Warner RD, Kauffman RG, Greaser ML. Muscle Protein Changes Post Mortem in Relation to Pork Quality traits. Meat Sci. 1997; 45:339–52. pmid:22061472
- 29. PIC. PIC®410. 2020. Available from: https://www.picdeutschland.de/products/pic410/.
- 30. Brandt H, Werner DN, Baulain U, Brade W, Weissmann F. Genotype-environment interactions for growth and carcass traits in different pig breeds kept under conventional and organic production systems. Animal. 2010; 4:535–44. pmid:22444041.
- 31. Nürnberg K, Dannenberger D, Nürnberg G, Paulke T. Fettqualität des Deutschen Sattelschweines nach Langzeitmast. Fleischwirtschaft. 2013:118–22.
- 32.
Bayerische Landesanstalt für Landwirtschaft. Jahresbericht 2020 über Leistungsprüfungen und Zuchtwertschätzung beim Schwein in Bayern. LfL 2020. Available from: https://www.lfl.bayern.de/mam/cms07/publikationen/daten/informationen/jahresbericht-2020-leistungspruefungen-zuchtwertschaetzung-schwein-lfl-information.pdf.
- 33. RADOVIĆ Č, PETROVIĆ M, SAVIĆ R, GOGIĆ M, LUKIĆ M, STANIŠIĆ N, et al. Growth Potential of Serbian Local Pig Breeds Mangalitsa and Moravka. Agriculturae Conspectus Scientificus. 2017; 82:217–20.
- 34. Lukač Batorek N, Tomažin U, Škrlep M, Prevolnik Povše M, Čandek-Potokar M. Productive performance of Krškopolje pig breed–Review of preliminary results. Archivos de Zootecnia. 2018:49–51.
- 35. Biermann ADM, Yin T, König von Borstel UU, Rübesam K, Kuhn B, König S. From phenotyping towards breeding strategies: using in vivo indicator traits and genetic markers to improve meat quality in an endangered pig breed. Animal. 2015; 9:919–27. Epub 2015/02/18. pmid:25690016.
- 36. Martins JM, Fialho R, Albuquerque A, Neves J, Freitas A, Nunes JT, et al. Growth, blood, carcass and meat quality traits from local pig breeds and their crosses. Animal. 2020; 14:636–47. Epub 2019/10/03. pmid:31578161.
- 37. Wood JD, Enser M, Fisher AV, Nute GR, Sheard PR, Richardson RI, et al. Fat deposition, fatty acid composition and meat quality: A review. Meat Sci. 2008; 78:343–58. pmid:22062452
- 38.
LfL. Jahresbericht 2018 über Leistungsprüfungen und Zuchtwertschätzung beim Schwein in Bayern. Bayerische Landesanstalt für Landwirtschaft (LfL). Available from: https://www.lfl.bayern.de/mam/cms07/publikationen/daten/informationen/jahresbericht-2018-leistungspruefungen-zuchtwertschaetzung-schwein-lfl-information.pdf.
- 39. Ding R, Yang M, Quan J, Li S, Zhuang Z, Zhou S, et al. Single-Locus and Multi-Locus Genome-Wide Association Studies for Intramuscular Fat in Duroc Pigs. Front Genet. 2019; 10:619. pmid:31316554.
- 40.
Petig M. Wachstum, Schlachtkörper- und Fleischqualität der bedrohten Schweinerasse Schwäbisch-Hällisches Schwein unter besonderer Berücksichtigung von Haltungs-, Fütterungs-, und Kombinationskreuzungsvarianten. PhD Thesis, Justus-Liebig-Universität. 2020. Available from: http://geb.uni-giessen.de/geb/volltexte/2020/15548/pdf/PetigMatthias_2020_07_22.pdf.
- 41. Muñoz M, García-Casco JM, Caraballo C, Fernández-Barroso MÁ, Sánchez-Esquiliche F, Gómez F, et al. Identification of Candidate Genes and Regulatory Factors Underlying Intramuscular Fat Content Through Longissimus Dorsi Transcriptome Analyses in Heavy Iberian Pigs. Front Genet. 2018; 9:608. Epub 2018/12/04. pmid:30564273.
- 42. Font-I-Furnols M, Brun A, Gispert M. Intramuscular fat content in different muscles, locations, weights and genotype-sexes and its prediction in live pigs with computed tomography. Animal. 2019; 13:666–74. Epub 2018/08/16. pmid:30111385.
- 43. Redifer JD, Beever JE, Stahl CA, Boler DD, Dilger AC. Characterizing the amount and variability of intramuscular fat deposition throughout pork loins using barrows and gilts from two sire lines. J Anim Sci. 2020; 98. pmid:32845331.
- 44. Trefan L, Doeschl-Wilson A, Rooke JA, Terlouw C, Bünger L. Meta-analysis of effects of gender in combination with carcass weight and breed on pork quality. J Anim Sci. 2013; 91:1480–92. Epub 2013/01/07. pmid:23296818.
- 45. Alonso V, Campo MdM, Español S, Roncalés P, Beltrán JA. Effect of crossbreeding and gender on meat quality and fatty acid composition in pork. Meat Sci. 2009; 81:209–17. pmid:22063984.
- 46. Alonso V, Muela E, Gutiérrez B, Calanche JB, Roncalés P, Beltrán JA. The inclusion of Duroc breed in maternal line affects pork quality and fatty acid profile. Meat Sci. 2015; 107:49–56. pmid:25938812.
- 47. Kim YM, Choi TJ, Ho Cho K, Cho ES, Lee JJ, Chung HJ, et al. Effects of Sex and Breed on Meat Quality and Sensory Properties in Three-way Crossbred Pigs Sired by Duroc or by a Synthetic Breed Based on a Korean Native Breed. Korean J Food Sci Anim Resour. 2018; 38:544–53. pmid:30018498.
- 48. Sundrum A, Aragon A, Schulze-Langenhorst C, Bütfering L, Henning M, Stalljohann G. Effects of feeding strategies, genotypes, sex, and birth weight on carcass and meat quality traits under organic pig production conditions. NJAS—Wageningen Journal of Life Sciences. 2011; 58:163–72.
- 49. Meuwissen T. Genetic management of small populations: A review. Acta Agriculturae Scandinavica, Section A—Animal Science. 2009; 59:71–9.