Morphometric Study of Local Algerian Cattle Breeds and Prediction of Carcass Weight from Linear Body Measurements: Case of Setifien and Guelmoise Breeds

Djeghar Alaa Eddine1,*, Ridouh Rania1, Boukerrou Maya1, Chaabi Aimene Zakaria1, Evin Allowen2, Tekkouk-Zemmouchi Faiza1, Guintard Claude3
  • https://orcid.org/0009-0003-9132-2178, https://orcid.org/0009-0009-2671-3627, https://orcid.org/0009-0003-5384-0492, https://orcid.org/0009-0006-6847-268X, 6847-268X, https://orcid.org/0000-0003-4515-1649, https://orcid.org/0009-0002-0309-3938, https://orcid.org/0000-0003-0195-8766
1Gestion Santé et Productions Animales Research Laboratory, Institut des Sciences Vétérinaires El-Khroub, Université Constantine 1 Frères Mentouri, Constantine 25000, Algeria.
2Institute of Evolutionary Science-Montpellier (ISEM), University of Montpellier, CNRS, EPHE, IRD, Montpellier, France.
3Comparative Anatomy Unit, National Veterinary School of Nantes, Vet Agro Bio Nantes-Oniris, route de Gâchet, CS 40706, 44307 Nantes cedex 03, France.

Background: In zootechnics, the utilization of local breeds adapted to harsh environmental conditions is a practical strategy for improving performance, particularly in breeding and animal improvement projects. This morphometric study of local Algerian cattle breeds highlights the main characteristics of the two breeds studied.

Methods: The study focused on 60 male cattle, including 30 Setifien and 30 Guelmoise breeds, aged between 24 and 36 months. For each subject, nine biometric measurements were taken prior to slaughter: wither height (WH), thoracic circumference (TC), abdominal circumference (AC), scapulo-Ischial length (SIL), head length (HL), bizygomatic width (BIW), hip width (HIW), cannon circumference (CC) and cannon length (CL). Post-slaughter, the carcass weight (CW) of each animal was also recorded. Data analysis included univariate, bivariate and multivariate statistical methods.

Result: The morpho-biometric comparison between the two studied breeds revealed that the Setifien breed has higher average values for all parameters compared to the Guelmoise breed. The Guelmoise breed is smaller in size (WH=113 cm), while the Setifien breed is larger (WH=121 cm), exhibiting values higher than those of African rustic breeds. Strong correlations were observed between carcass weight and most parameters, supporting the use of linear regression equations to estimate carcass weight from biometric measurements.

In Algeria, the cattle herd is primarily composed of two types: imported and autochthonous breeds. The imported cattle population, representing 16% of the national herd, is intended to improve milk production and contributes 60% of the country’s milk supply. The autochthonous cattle population, consisting of local breeds maintained through internal crossbreeding or crossbreeding with imported breeds, focuses mainly on meat production. This group accounts for 80% of the national beef production and 40% of the milk production (MADR, 2021).
 
The Brune de l’Atlas is the predominant local cattle breed in Algeria, found exclusively in the northern region of the country (Itebo, 1997), with a higher proportion of females (Feliachi, 2003). Known for its resilience in harsh environments and mixed production capabilities, this breed constitutes the majority of autochthonous cattle in North Africa (Ben-Jemaa et al., 2020).
 
Breed description
 
According to (Ben-Jemaa et al., 2020) and (Rahal et al., 2021). The Brune de l’Atlas is a distinct brachycephalic breed characterized by a straight or sub-concave profile and an elongated or triangular face. The average height at the withers is around 1.20 meters, although it can be as low as 1 meter. The horns are thin, very pointed and grayish or blackish in color. The Brune de l’Atlas is a short-statured breed, featuring a strong neck, thick dewlap, well-developed trunk, deep chest, short legs and a narrow croup. It has moderately thick muscular mass, particularly in the crural region. The breed also possesses thick, rough skin, short hair and black hooves with extremely hard and solid horns.
 
The Brune de l’Atlas is subdivided into four main branches, each shaped by the specific environment of its region (Nadjraoui, 2001). These branches exhibit significant phenotypic differences: the Guelmoise, with its dark gray coat; the Cheurfa, with a whitish coat; the Chelifien, with a fawn coat; and the Setifien, with a blackish coat. However, our study will focus exclusively on two local breeds: the Guelmoise and the Setifien; (Rahmani et al., 2020).
 
Study objectives
 
Morpho-biometric measurements are used to assess the characteristics of different animal breeds and can provide useful information on the suitability of animals for selection (Nesamvuni et al., 2000; Rastija et al., 2004; Araujo et al., 2006; Mwacharo et al., 2006; Martins et al., 2009; Yakubu et al., 2010; Bhinchhar et al., 2017; Hamadani et al., 2024;  Oudini et al., 2024). The main objective of this work is to analyze the morpho-biometric characteristics and the relationship between different body measurements, as well as to predict carcass weight from these measurements in the two cattle populations.
 
This study aims to analyze the morpho-biometric characteristics and interrelationships of body measurements in two local cattle breeds, the Guelmoise and the Setifien and to estimate carcass weight from these measurements.
 
Animals
 
The guelmoise breed
 
The Guelmoise population is found in the forested areas of Guelma and Jijel. Adults range in color from light to dark gray, with darker extremities on the head, neck and tail. The nasal epithelium is black with a light ring surrounding it. This breed constitutes the majority of the Algerian cattle herd (Rahal et al., 2021).
 
The setifien breed
 
The Setifien breed is located in the Babor Mountains. It is characterized by a uniform black coat, good conformation and significant variability in size and weight depending on the specific region. The tail is black and long, sometimes dragging on the ground and a distinctive brown line runs along the back of this breed (Rahal et al., 2021).
 
Method
 
Study population
 
The study was conducted in slaughterhouses located in the northeastern region of Algeria between April 2022 and September 2023 and involved a sample of 60 male cattle, evenly distributed between two breeds (30 individuals per breed), mostly aged between 24 and 36 months. The animals were selected based on phenotypic characteristics corresponding to the breed standards (I.T.E.B.O) and any crossbred or suspected crossbred animal was systematically excluded. Information about the animals (breed, age) was carefully collected from the breeders prior to slaughter.
 
Biometric measurements
 
Before slaughter, nine biometric measurements were taken for each individual:
• Withers height (WH).
• Thoracic circumference (TC).
• Abdominal circumference (AC).
• Scapulo-Ischial Length (SIL).
• Head length (HL).
• Bizygomatic width (BIW).
• Hip width (HIW).
• Cannon circumference (CC).
• Cannon length (CL).
 
Live weight (BW) was estimated using the barymetric formula from Crevat (Delage et al., 1995): BW = 80 TC³.  Additionally, the Dactylo-Thoracic Index (DTI) was calculated for each animal:                   
 
    (Pagot, 1952).
                                                                                                                                                                                 
Measurement tools and precision
 
Biometric parameters were measured as follows:
• Measuring stick: For WH and SIL
• Caliper: For HIW, HL, BIW, CL
• Tape measure: For TC, AC, CC
 
Measurements were precise to the centimeter. Live weight (BW) and carcass weight (CW) were measured with a precision of one kilogram.
 
Post-slaughter measurements
 
After slaughter, carcass weight for each animal was recorded and the average slaughter yield (CW/BW) was calculated for each breed.
 
Statistical analyses
 
Univariate analysis
 
Data were analyzed using Excel. Statistical parameters such as mean, minimum and maximum were computed for each measured variable for both breeds and the total population. Variability was assessed using the standard deviation (σ) and coefficient of variation (CV),
where:
 
 
 Bivariate analysis
 
Pearson correlation coefficients were calculated to examine relationships between variables. Linear regression models were developed to predict carcass weight from the most strongly correlated biometric parameters for each breed.
 
Multivariate analysis
 
Principal component Analysis (PCA) was performed using R version 4.2.1. PCA produced three key visualizations:
 
Correlation circle
 
Illustrates the construction of the first factorial plane.
 
Scatter plot
 
Displays the dispersion of individuals from both breeds (Setifien and Guelmoise) in the first factorial plane.
 
Gravity centers plot
 
Shows the positions of the centers of gravity for each breed in the first factorial plane, including 95% confidence ellipses.

All statistical tests were performed with a significance level set at 0.05.
 
 
Biometric measurements
 
The biometric measurement values are summarized in Table 1. The average values fall within the breed standards. Guelmoise cattle, mostly aged between 22 and 36 months, have an average live weight of approximately 356 kg and a withers height of just above 113 cm. In contrast, Setifien males are heavier, with an average weight of about 434 kg and a withers height exceeding 121 cm.

Table 1: Descriptive statistics of biometric parameters.


 
For body length and width traits, Guelmoise cattle have an average scapulo-ischial length of 127.35 cm and an average hip width of approximately 39 cm. Conversely, Setifien cattle exhibit a greater average scapulo-ischial length (137.14 cm) and a wider pelvis (42.29 cm) compared to Guelmoise cattle. Regarding head dimensions, Setifien cattle have significantly larger heads than Guelmoise cattle (P<0.05).
 
Slaughter yield
 
The average slaughter yields are satisfactory for rustic breeds, with approximately 50% yield: 49.9% for Guelmoise and 51.2% for Setifien. These values align closely with those reported by Dechambre E. (1948); Bneder (1978); Boulahbel  (1999) and MA (1999-2001) for similar populations (40% to 50%).
 
In comparison, yields for suckler meat-producing breeds are 67.5% to 69% for Charolais and Blonde d’Aquitaine and 69% to 75% for Limousin (Dudouet, 1999). Rustic breeds such as Salers, Aubrac and Gasconne show yields of 58.6%, 60.1% and 61.4%, respectively (Renand et al., 2002).
 
The coefficient of variation (CV%) indicates notable variability, particularly for weight variables. For Setifien cattle, the CV is 19.3% for carcass weight and 16.2% for live weight, whereas for Guelmoise cattle, it is 19.5% and 18.3%, respectively. For linear measurements, the CV is lower, ranging from 5.3% to 8.7% across both populations. These observations are consistent with the findings of Haddad and Kiboub (2019), Bouzebda (2007) and Boujenane (2015), who noted similar homogeneity in local breeds adapted to their environment.
 
Comparative analysis
 
The data reveal systematically significant differences between the two breeds, with Setifien cattle generally showing higher values across all measured variables compared to Guelmoise cattle. This trend aligns with findings from Haddad and Kiboub (2019) and Bouzebda (2007), though those studies used larger sample sizes.
 
Compared to local African cattle, the body measurements of Setifien cattle surpass those reported in Togo (Boma et al., 2018), Congo Brazzaville (Akouango et al., 2014) and Morocco (Boujenane, 2015). However, the Kouri taurines of Niger (Grema et al., 2018) exhibit higher measurements, especially for withers height (129 cm) and scapulo-ischial length (155 cm). For Guelmoise cattle, all compared studies indicate higher values except for the Togo cattle population (Boma et al., 2018), which is smaller in size, with a withers height not exceeding 110 cm.

When comparing local cattle breeds to modern improved breeds, as studied by Bene et al., (2007), it’s evident that local breeds like the Guelmoise (113 cm) and Seifien (121.8 cm) are smaller in stature. In contrast, improved breeds such as Blonde d’Aquitaine (142.5 cm), Limousin (138 cm), Charolais (137.4 cm), Aberdeen Angus (132 cm) and Hereford (130 cm) show significantly greater heights at the withers.
 
In terms of body length (SIL), all the improved cattle breeds mentioned surpass the recorded length for the Guelmoise breed (127.3 cm). However, the Setifien, measuring 137 cm, is relatively long and even exceeds the Aberdeen Angus (132 cm). Meat breeds like Blonde d’Aquitaine (151 cm), Limousin (148 cm) and Charolais (142 cm) have notably longer bodies, which is often advantageous for meat production.
 
These differences can be attributed to several factors. Firstly, improved breeds have been selectively bred for traits related to meat production, such as size, conformation and rapid growth, resulting in increased body size over generations. In contrast, local breeds, naturally selected by their specific environmental conditions, have developed characteristics like hardiness and feed efficiency, rather than large size.
 
Breeding practices, nutrition and management methods also play a crucial role in the physical development of animals. Improved breeds often benefit from intensive breeding techniques, whereas local breeds are typically raised in more traditional systems, which can limit their growth potential.
 
Dactylo-thoracic index (DTI)
 
The Dactylo-Thoracic Index (DTI), which is inversely related to fineness, was found to be 1/10 for both populations. This index indicates a high level of fineness in these animals, consistent with the findings of Tekkouk and Guintard (2007), who described them as hardy, walker-type breeds with slender limbs.
 
Correlation coefficients and linear regressions
 
Correlation coefficients between biometric variables are summarized in Fig 1. Strong significant correlations (r>0.8) were observed between most variables. Particularly strong correlations (r>0.9) were noted between cannon circumference and carcass weight, live weight and hip width and thoracic circumference and hip width. Moderate correlations (0.5<r<0.7) were observed between bizygomatic width and other biometric parameters.

Fig 1: Pearson correlation coefficient values for the 11 biometric variables of the two cattle breeds. (Total population correlation matrix: Pearson correlation coefficient values for the 11 biometric variables).


 
The study of the relationship between live weight and various body measurements produced results consistent with those reported by several authors (Tozser​ et al., 2001; Bouzebda, 2007; Rahal et al., 2017). A positive correlation was established between carcass weight and most body measurements (AC, SIL, CC, TC, HL, HIW). This finding highlights the importance of taking body measurements in cattle, allowing carcass parameters to be estimated based on these measurements (Table 2).

Table 2: Coefficient values of the linear regression equation (Y=aX+b) between biometric parameters (denoted as X) and carcass weight (denoted as Y).


 
Measurements such as body length, hip width, canon circumference and other morphometric traits were used to assess skeletal development. Thus, body measurements remain a key focus in beef cattle breeding and selection programs, contributing to improved performance and carcass quality.
 
Linear regression equations for estimating carcass weight (CW) from live animal measurements are presented in Table 2. Carcass weight, measured directly, is a reliable indicator of meat production. The regression equations developed for each breed and the combined population provide valuable tools for estimating carcass weight (Fig 2).

Fig 2: Covariation between variables according to breed. Regression lines obtained according to the following equations.


 
Multivariate analysis
 
The principal component Analysis (PCA) results are presented in Fig 3. The analysis, with an inertia level of 82.4% on the first factorial plane, shows a clear “size” effect, as all linear measurements are positively correlated with each other and with the first factorial axis. Most measurements contribute significantly to this axis (correlation coefficient>0.75), except for the Dactylo-Thoracic Index (DTI), which is negatively correlated (-0.16). On axis II, the DTI shows a strong correlation (0.95), while other measurements have weak correlations (generally<0.3), indicating that axis II represents general shape.

Fig 3: Principal component analysis (PCA) (60 individuals, 11 variables).


 
The scatter plots (Fig 4) distinguish Guelmoise and Setifien breeds mainly on axis I. Guelmoise males are clustered in the left half-plane with negative abscissas, while Setifien males are predominantly in the right half-plane with positive abscissas.

Fig 4: Principal component analysis (PCA): scatterplot of individuals.


 
Fig 5 shows disjoint confidence ellipses for the two breeds, indicating clear segregation based on biometric measurements. The average points for each breed are in significantly different positions on the first factorial plane. The center of gravity for Setifien males is significantly greater than 0, whereas that for Guelmoise males is significantly less than 0. The ordinates of the centers of gravity for both breeds are close to 0, with the abscissa axis intersecting both ellipses.

Fig 5: Principal component analysis (PCA): 95% confidence ellipsis for each breed.


 
This sample offers an interesting extension of previous research. However, it would have been valuable to include both sexes in the study, allowing for an analysis of sexual dimorphism within the population and the inclusion of females, which are highly relevant in zootechnical improvement programs. Studying both sexes would provide a deeper understanding of morphological and physiological differences, helping to refine selection strategies based on specific production goals. Furthermore, females play a critical role in reproduction and sustainable breeding and their inclusion could provide important insights into managing genetic diversity and improving breed adaptability to environmental challenges.
 
 
This morphometric study of local Algerian cattle breeds has successfully highlighted the key characteristics of the Guelmoise and Setifien breeds. The comparison between these two breeds reveals significant differences, with the Guelmoise breed being smaller in size compared to the larger Setifien breed. The Setifien breed not only surpasses the Guelmoise breed but also shows values that exceed those observed in other African rustic breeds.
 
The study has established a strong correlation between biometric parameters and carcass weights, enabling accurate estimation of carcass weight from live animal measurements. The developed prediction equations are valuable tools for researchers, technicians and the meat industry, facilitating the estimation of carcass weights prior to slaughter. These tools can improve the efficiency and accuracy of meat production and supply chain management.
 
Moreover, this research plays a crucial role in breeding and animal improvement programs by providing insights into the morphometric characteristics of local breeds adapted to harsh environments. Leveraging these local breeds for their resilience and adaptability can significantly enhance performance in breeding projects and meat production systems.
 
In summary, the findings of this study not only contribute to the understanding of the morphometric traits of Algerian cattle breeds but also offer practical applications for predicting carcass weights. The integration of these insights into breeding strategies can support the development of more efficient and sustainable livestock management practices.
 
 
The authors would like to express their sincere gratitude to all the staff at the Khaled Haded slaughterhouse in Tamlalous for their essential cooperation in the sampling process and data collection. Their valuable assistance in handling live animals greatly facilitated the completion of this study.

Disclaimers            
                                                                                                                                              
The views and conclusions expressed in this article are solely those of the authors and do not necessarily represent the views of their affiliated institutions. The authors are responsible for the accuracy and completeness of the information provided, but do not accept any liability for any direct or indirect losses resulting from the use of this content.
 
Informed consent               
                                                                                                                                             
All animal procedures for experiments were approved by the Committee of Experimental Animal care and handling techniques were approved by the University of Animal Care Committee.

 
 
The authors declare that there are no conflicts of interest regarding the publication of this article. No funding or sponsorship influenced the design of the study, data collection, analysis, decision to publish, or preparation of the manuscript.
 

  1. Akouango, P., Mopoundza, P. and Ewomango, R.P. (2014). Étude des mensurations des bovins de race Ndama (Bos taurus) dans les pâturages naturels semi inondés de la ferme d’ Abo au Congo Brazzaville. Journal of Animal of Plant Sciences. 20: 3139.

  2. Araujo, J.P., Machado, J., Cantalapiedra, A., Iglesias, F., Petim-Batista, F., Colaco, J. and Sanchez, L. (2006). Biometrical analysis of Portuguese Minhota cattle. 8th World Congress on Genetics Applied to Livestock Production. 

  3. Bene, S., Nagy, B., Nagy, L., Kiss, B.A.L.A.Z.S., Polgár, J.P. and Szabo, F. (2007). Comparison of body measurements of beef cows of different breeds. Archives Animal Breeding. 50(4): 363-373. https://doi.org/10.5194/aab-50-363-2007. 

  4. Ben-Jemaa, S., Mastrangelo, S., Lee, S.H., Lee, J.H. and Boussaha, M. (2020). Genome-wide scan for selection signatures reveals novel insights into the adaptive capacity in local North African cattle. Scientific Reports. 10(1): 19466. https:/ /doi.org/10.1038/s41598-020-76576-3. 

  5. Bhinchhar, B.K., Paswan, V.K., Yadav, S.P. and Singh, P. (2017). Physical and morphometric characteristics of Gangatiri cattle. Indian Journal of Animal Research. 51(6): 1101- 1104. https://doi.org/10.18805/ijar.11329. 

  6. Bneder, (1978). Diagnostic de la situation actuelle du cheptel de la race. Rapport N°2. Bouchaoui, Chéraga, Alger.

  7. Boma, S., Nuto, Y., Dayo, G.K., Bonfoh, B. and N’Feide, T. (2018). Caractérisation morpho-biométrique des populations bovines locales sans bosse du Togo. International Journal of Biological and Chemical Sciences. 12(1): 431-445. https://doi.org/ 10.4314/ijbcs.v12i1.34. 

  8. Boujenane, I. (2015). Multivariate characterisation of Oulmes-Zaer and Tidili cattle using the morphological traits.

  9. Boulahbel, J.M. (1999). Essai de caractérisation biométrique de la race bovine locale. Type: Cheurfa (Doctoral dissertation, Thèse de magister, Université de Annaba).

  10. Bouzebda, A.F. (2007). Performances zootechniques et structure d’élevage dans la population bovine de type local (Est algérien).

  11. Dechambre, E. (1948). Relations entre l’adaptation physiologique et la morphologie chez quelques Mammifères domestiques et sauvages. Éditions du Muséum.

  12. Delage, J., Poly, J. and Vissac, B. (1955). Etude de l’efficacité relative des diverses formules de barymétrie applicables aux bovins. Annales de Zootechnie. 4(3) : 219-231. https://doi.org/ 10.1051/animres:19550305. 

  13. Dudouet, C. (1999). La production des bovins allaitants. Edition France agricole.

  14. Feliachi, K. (2003). Commission nationale AnGR. Rapport national sur les ressources génétiques animales: Algérie, République algérienne démocratique et populaire. Alger. [Online] (page consulted on10/11/2023)https://www.fao.org/tempref/docrep/ fao/010/a1250e/annexes/CountryReports/Algeria.pdf. 

  15. Gréma, M., Korombé, H.S., Soudré, A., Tapsoba, S. A., Moussa, M.M.A., Sanou, M. and Alhassane, Y. (2018). Corrélations entre les caractéristiques phénotypiques et détermination d’une formule barymétrique chez le taurin Kouri du Niger. Journal of Applied Biosciences. 131: 13319-13334. https:/ /doi.org/10.4314/jab.v131i1.7. 

  16. Haddad Kamal, K.D. (2019). Analyse multivariée de la variation morpho-biométrique des populations bovines de la Brune d’Atlas dans le Nord Est Algérien.

  17. Hamadani, H., Khan, A.A., Sheikh, I.U., Fazili, M.R., Khan, H.M., Haq, Z. and Wani, S.A. (2024). Morphological and morphometrical studies on the crossbred cows under temperate climatic condition of Kashmir valley. Asian Journal of Dairy and Food Research. 43(1): 172-176. https:// arccjournals.com/journal/asian-journal-of-dairy-and-food- research/DR-1688. 

  18. I.T.E.B.O. (1997). Connaissance de la race bovine algérienne. Blida: Institut Technique de l’Élevage Bovin et Ovin. 4 p.

  19. MADR, (2021). Agricultural statistics for areas and production. Series B 2019. [Online] (page consulted on 22/04/2024) https:/ /madr.gov.dz/.

  20. Martins, C.E.N., Quadros, S.A.F., Trindade, J.P.P., Quadros, F.L.F., Costa, J.H.C. and Raduenz, G. (2009). Shape and function in Braford cows: the body shape as an indicative of performance and temperament.

  21. Ministère de l’agriculture. (1999 et 2001). Statistiques agricoles.

  22. Mwacharo, J.M., Okeyo, A.M., Kamande, G.K. and Rege, J.E.O. (2006). The small East African shorthorn zebu cows in Kenya. I: Linear body measurements. Tropical Animal Health and Production. 38: 65-74. https://doi.org/10.1007/ s11250-006-4266-y. 

  23. Nadjraoui, D. (2001). FAO Country pasture/forage resource profiles.  Algeria. Food and Agriculture Organization of the United Nations.  [Online] (page consulted on 20/05/2023) http:/ /www.fao.org/WAICENT/FAOINFO/AGRICULT/AGP/AGPC/ doc/Counprof/Algeria.htm.

  24. Nesamvuni, A.E., Mulaudzi, J., Ramanyimi, N.D. and Taylor, G.J. (2000). Estimation of body weight in Nguni-type cattle under communal management conditions. South African Journal of Animal Science. 30(1-1): 97-98. https://doi.org/ 10.4314/sajas.v30i4.3927. 

  25. Oudini, E., Babelhadj, B., Benaissa, A., Dib, M., Ridouh, R., Tekkouk- zemmouchi, F. and Guintard, C. (2024). Morphometric Study of the Algerian Dromedary Population Reguibi (Camelus  dromedarius L. 1758). Agricultural Science Digest. 44(3):  https://doi.org/10.18805/ag.DF-603

  26. Pagot, J. (1952). Croisements taurins-zébus: étude biométrique des résultats obtenus à l’office du Niger (AOF). Revue d’élevage et de médecine vétérinaire des pays tropicaux. 5(2): 53- 62. https://doi.org/10.19182/remvt.6904. 

  27. Rahal, O., Aissaoui, C., Ata, N., Yilmaz, O., Cemal, I., Ameur Ameur, A. and Gaouar, S.B.S. (2021). Genetic characterization of four Algerian cattle breeds using microsatellite markers.  Animal Biotechnology. 32(6): 699-707.

  28. Rahal, O., Aissaoui, C., Elmokhefi, M., Sahraoui, H., Ciani, E. and Gaouar, S.B.S. (2017). A comprehensive characterization of guelmoise, a native cattle breed from eastern Algeria. Genetics and Biodiversity Journal. https://doi.org/10.463 25/gabj.v1i1.83.   

  29. Rahmani, M.M., Hamiroune, M. and Berber, A. (2020). Caractérisations morphologique et biométrique de bovins mâles Bruns de l’Atlas en Algérie. Livest. Res. Rural Dev, 32(2).

  30. Rastija, T., Baban, M., Antunovic, Z. and Mandic, I. (2004). A comparison and development of morphometric characteristics of stallions and mares on the Lipizzaner stud of Dakovo. Acta agriculturae slovenica. 1: 195-200.

  31. Renand, G., Havy, A. and Turin, F. (2002). Caractérisation des aptitudes bouchères et qualités de la viande de trois systèmes de production de viande bovine à partir des races rustiques françaises Salers, Aubrac et Gasconne. INRAE Productions Animales. 15(3) : 171-183. https://doi.org/10.20870/productions- animales.2002.15.3.3699. 

  32. Tekkouk, F. and Guintard, C. (2007). Approche ostéométrique de la variabilité des métacarpes de bovins et recherche de modèles applicables pour l’archéozoologie: cas de races rustiques françaises, algériennes et espagnole. Revue de médecine vétérinaire/Ecoles nationales vétérinaires de Lyon et Toulouse. 158(7): 388.

  33. Tozser, J. (2001). Body measurements of cows in a Charolais herd with different genotypes. Allattenyesztes Es Takarmanyozas. 50: 15-22.

  34. Yakubu, A., Idahor, K.O., Haruna, H.S., Wheto, M. and Amusan, S. (2010). Multivariate analysis of phenotypic differentiation in Bunaji and Sokoto Gudali cattle. Acta Agriculturae Slovenica. 96(2): 75-80. https://doi.org/10.14720/aas.2010.96.2.14700.

Editorial Board

View all (0)