Univariate analyses
The results of osteometric parameters are grouped in Table 2 according to gender and age.
The differences in means observed between males and females are consistently significant. The results obtained show that the values recorded in males are higher than those in females for all measured variables, with highly significant differences (p<0.0001). Sexual dimorphism is thus already visible at this level.
For both age classes, we observed that the measurements for both sexes are higher in adults compared to young adults, except for parameter CL13 and weight, which are higher in young adults. The CL13 measurement represents the row of jugal teeth (molars and premolars) and decreases with age due to bone remodeling affecting the maxillary bone once the roots of the molars and premolars have disappeared with age. This finding is in line with what was observed by
Ridouh (2021) in a craniometric study on goats.
The weight of the bone pieces is influenced by the phenomenon of osteoporosis (which intensifies with age). As the female ages, the bone framework’s density decreases due to the mobilization of bone calcium during repeated pregnancies.
Beyond the mean values, the overall variability expressed by the coefficient of variation is relatively significant for linear parameters, with the coefficient ranging from 8.22% to 1.29%, respectively for the great width of the premaxilla CB28 and the great palatine width CB29. However, it is moderately low for the calculated ratio RC (from 0.07% to 0.13%) and weight (from 9% to 11.58%). Weight is the parameter with the highest CV value, equal to 11.58.
The parameters in the nasal region (CB28 and CH31) are the most variable, with coefficients of variation exceeding 5.62%.
The CV values for linear parameters vary for both males (from 2.10% to 8.22%) and females (from 1.29% to 7.26%). For all the variables, the coefficient of variation does not exceed 12%, which means that the measurements of the studied parameters are very close among individuals and the population is more homogeneous.
It is possible to visualize the overall variability of the sample by bounding the variability of females and that of males for all parameters. To highlight the maximum variability in the studied sample, the skulls of extreme individuals were photographed (Fig 3). Sexual dimorphism is already evident at this level.
This camel population demonstrates clear sexual dimorphism at this stage, which is practically observed in almost all mammalian species.
Bivariate analyses
The correlation coefficients between the variables are listed in Table 3.
In general, almost all the lengths are strongly correlated with each other (r>0.8), as well as with the majority of the widths. On the other hand, the heights and the calculated ratio are not as correlated or may not be correlated at all.
The great width of the neurocranium CB23 is not correlated with any measurement, in contrast to what was found in the Malha population in Saudi Arabia (
Al-Sagair and ElMougy, 2002), where this measurement showed a strong positive correlation with other skull measurements.
It’s observed that weight is only correlated with the great length of the skull CL1, which differs from the findings in the Malha population, where weight showed a weak correlation (r = 0.29) with this measurement.
Multivariate analysis
The results of the Principal Component Analysis (PCA) are presented in Fig 4 (variable graph) and Fig 5 (individual projection).
The inertia carried by the first factorial plane I-II amounts to 80.15% of the total inertia, which represents a good level of study reliability (greater than 80%).
Fig 4 revealed strong positive correlations between the measured variables and between these variables and the first axis. In morphometry, this axis, referred to as F1, is considered a size axis. It integrates lengths and widths.
Brugal (1985) describes F1 as an indicator of the overall size of the bone. Moving to the right on axis F1 corresponds to an increase in the overall size of the skull.
Axis F2 primarily involves the ratio RC and, to a lesser extent, CB29 (the measurement used in calculating this ratio). Therefore, F2 is a general shape axis for the bone. It is not surprising to see the ratios projecting onto this axis.
Strong positive correlations exist between the variables, except for CB29, which is only correlated with RC. Furthermore, parameter CB23 (neurocranium width) is not associated with the other length parameters.
We observed a sex effect on the studied parameters, which are positively correlated with males and negatively correlated with females, except for parameters CB29 and CB23, which are independent of sex.
The scatterplot visualizing the dispersion of individuals of both sexes in the first factorial plane shows a continuous spread of males and females along axes I and II.
In the middle of the diagram (Fig 5), an observation reveals a mixture of male and female individuals, with larger females moving right on the vertical axis, while smaller males stay on the left.
As is typical in morphometry within a breed, there is biological continuity between the measured values for males and females (the common area between the two circles in Fig 5).
Due to sexual dimorphism, the abscissa of the mean point for males is higher than that of females.
Sexual dimorphism index (D.S)
Meniel (1984) suggests a factor called D.S. (for Sexual Dimorphism: D.S.= [(male mean - female mean)/female mean]) that is straightforward. We have calculated this index (Table 4) to gain an understanding of sexual dimorphism for the various linear parameters measured.
This ratio appears moderately strong at 11.63% for the 15 linear parameters, ranging from 2.72% for CB23 to 54.94% for CL5.
According to the Table 4, the parameter with the highest Sexual Dimorphism Index (D.S) is the lateral length of the neurocranium CL5, with a maximum value of 54.9%, followed by the width CB28 and weight with values exceeding 20%. Next is the height of the horizontal part of the maxillary bone CH31 with a value of 14.10%.
Measurements CL1, CB18 and CB26 have a Sexual Dimorphism Index (D.S) greater than 8%, indicating a significant level of sexual dimorphism.
CB28 and CH31 constitute the width and height of the rostral part of the cranium, which shows significant sexual dimorphism (this facial part is not only longer in males but also wider, giving the face a rather robust and hard shape). Weight is consistently a highly sexually dimorphic parameter with a D.S of 28.74%.
So, the sexual dimorphism of dromedaries is more pronounced in terms of lengths and less pronounced in terms of bone shape (negative value of the RC ratio -4.26%) than what is observed in cattle by
Guintard (2001), even though similar general principles seem to govern these two ruminant species.
Our study confirms that cranial measurements in male dromedaries are larger than in females, which aligns with the findings of previous research in different regions of Northern Nigeria and a study in the Malha population in Saudi Arabia by
AlSagair (2002) and
Yahaya et al., (2012). This size difference is further supported by the absence of a correlation between neurocranial width (CB23) and length measurements in our study.
The greater measurements in males may be due to physiological factors like hormonal secretions and sex-specific activities, as suggested by
Callewaert (2010) and
Antari (2018). These higher values could also be linked to body size and the observed sexual dimorphism in cranial measurements might be proportionate to size differences, consistent with observations made by
Cardini and Eltonw (2008).
The best measurements to define sexual dimorphism in Targui dromedary skulls are total length CL1 and the greatest frontal width CB25. Additionally, all cranial lengths have shown significant differences between the sexes (Table 2).
Osteometric studies in the Sahraoui and Targui populations have shown that females have a more slender bone structure compared to males
(Babelhadj et al., 2016a, b;
Babelhadj, 2017;
Guintard and Babelhadj, 2018).
No matter which approach is used, sexual dimorphism in dromedaries, at least for the Targui population, is primarily a size dimorphism.
Our findings on sexual dimorphism match those of
Yahaya et al., (2012) in adult dromedaries from northeastern Nigeria’s Maiduguri region, although Yahaya found no sexual dimorphism in dromedaries from Sokoto and Kano.
In the rostral aspect, males consistently have a greater width (CB28) than females, suggesting that males exhibit greater robustness, a pattern observed in various mammalian species.
Total cranial lengths (CL1) in adult male Targui dromedaries average 500.8 mm, while young adults measure 495.6 mm (Table 2). These measurements are slightly smaller than Malha dromedaries at 505.3 mm but larger than those from Northern Nigeria, ranging between 478.6 mm (Maiduguri) and 468.6 mm (Sokoto). The Northern Nigerian dromedaries are non-traditional to the region (
Mohammed and Hoffmann, 2006).
Differences in neurocranial dimensions may suggest a larger cranial capacity in males. The greater development of the frontal sinus in males may contribute to variations in interorbital width CB26 and frontal width CB25. The frontal sinus is notable for its complex and variable drainage system
(Daniels et al., 2003).
Great neurocranial width CB23 values in this study fall between those of the Malha population in Saudi Arabia at 159.6 mm (
Alsagair and ElMougy, 2002) and dromedaries in Northern Nigeria at 96.06 mm
(Yahaya et al., 2012). These variations might be related to differences in brain volume (
Manjunath, 2002).
Activity significantly influences bone remodeling, where mechanical usage modifies bone architecture, following Wolff’s Law (1986). This remodeling progresses with age (Ruff et al., 2006;
Wescott, 2006).
Finally, considering recent work based on geometric morphometrics by
Hanot et al., (2021) and
Brassard et al., (2023), it would be relevant to explore the distinctions between sexes and age groups more deeply and to characterize this completely original camel population in greater detail, which could serve as a valuable reference for studies in archaeozoology.