volume 46 integrating scientific advances for sustainability and global health : 136-142,   Doi: 10.18805/ag.DF-916

Influence of Season and Sex on Growth and Carcass Performance of Local Rabbits in North-Eastern Algeria

N
Nedjoua BERKOUS1,*
S
Soumia FERROUDJ2
M
Mounia HOMRANI3
A
Abdelkader E.A. DAHOU3
C
Chadli AISSAOUI1
A
Abdelkader HOMRANI3
1Depertement of Biology, University, Chadli Ben Djedid Eltarf, Algeria.
2Departement of Biology, University, Badji Mokhtar Annaba, Algeria.
3Laboratery of Animal Production Science and Technology Research, University, Mostaganem, Algeria.
Cite article:- BERKOUS Nedjoua, FERROUDJ Soumia, HOMRANI Mounia, DAHOU E.A. Abdelkader, AISSAOUI Chadli, HOMRANI Abdelkader (2026). Influence of Season and Sex on Growth and Carcass Performance of Local Rabbits in North-Eastern Algeria . Agricultural Science Digest. 46: 136-142. doi: 10.18805/ag.DF-916.

Background: Rabbit farming in Algeria still occupies a modest place, but it presents interesting potential for meat production and income diversification in rural areas. Adapted to small farms, rabbit farming can contribute to improving the supply of animal protein. This study examines the effect of season and sex on the growth, live weight, hot carcass, cold carcass and associated yields of local rabbits raised in the El Tarf province.

Methods: The study was conducted on a total of 83 rabbits raised in a traditional system in Ain Elkarma, El Tarf province (Northeast Algeria), from birth to 14 weeks.

Result: Significant commercial growth occurred during the S7-S10 phase. The season × sex interaction was significant (p<0.01), with better performance in females born in winter (1567.3 g S14) in females, which also had the best cold carcasses (≈800 g). Rabbits of both sexes frequently exceed 1000 g by the 9th week in winter. A strong correlation between live weight and cold carcass weight (r = 0.867; p<0.001) was observed, confirming the link between body development and marketable muscle mass. Conversely, cold yields remain remarkably stable, with no significant influence of season, sex or live weight (p>0.05; R2<0.10), indicating a low sensitivity of these parameters to biological or climatic variations. This stability enhances the predictability of final yield and is a major asset for the technical and economic optimization of the rabbit farming sector. The results reveal an adaptive plasticity of this local population and indicate the interest of differentiated management strategies according to season and sex to optimize zootechnical value in a semi-humid environment.

Rabbit farming is an important source of meat in Algeria and contributes to the supply of animal protein in rural and peri-urban areas (Boukhalfa et al., 2020; Bharathy et al., 2022). In this context, the local rabbit, in addition to the breeds and/or strains listed such as the so-called “Kabyle” breed or the synthetic white strain ITELV 2006 (Sid et al., 2018), mobilizes many researchers to characterize it as fixed and efficient breeds (Boukabane et al., 2018 and  Bouhali et al., 2023).
       
In Algeria, studies on the local rabbit have mainly focused on nutrition, reproduction and general performance, while the combined effect of season and sex on weekly growth remains poorly documented (Mouhous et al., 2020; Maziz-Bettahar et al., 2019). However, these two factors can influence growth dynamics, particularly in Mediterranean environments subject to marked thermal and photoperiodic variations (Lebas et al., 2019; El-Aksher et al., 2020; El-Sabrout et al., 2023). Studying this interaction is therefore necessary to better understand the expression of the growth potential of the local Algerian rabbit population. Carcass quality and hot and cold yields, for their part, represent essential indicators for the techno-economic evaluation of the meat sector (Abdel-Rahman et al., 2023).
       
This study therefore aims to evaluate the combined effect of season and sex on growth with the objective evaluation of carcass performance of these local rabbits. Its objectives are to quantify live weight variations according to season × sex groups. By simultaneously studying growth, hot and cold carcass masses and corresponding yields, this study proposes a multidimensional approach to identify optimal slaughter periods, improve livestock management strategies and refine techno-economic prediction tools. Ultimately, this approach should help to define more relevant slaughter windows and to propose breeding practices better adapted to local conditions, with a view to the sustainable valorization of local Algerian rabbits.
This study was conducted on a rabbit farm in Aïn El Karma, wilaya of El Tarf, northeastern Algeria, characterized by a semi-humid Mediterranean climate. The rabbit kits came from the same litters and local, non-genetically selected herds (Zerrouki et al., 2005) and were fattened according to traditional practices (Saidi et al., 2013; Mourad et al., 2015). The rearing was carried out with natural ventilation and lighting, with ad libitum feeding based on green fodder and local agricultural by-products and free access to water.
       
The study involved 83 rabbit kits (males and females) distributed across three seasons (autumn, winter, spring) to evaluate the season × sex interaction on growth dynamics. The fattening period extended from 2022 to 2023, with monitoring from W0 (birth) to W14 (14 weeks) according to maturity stages. Weekly weighings were carried out at a fixed time using a precision electronic scale (±1 g). Average weekly weights were then calculated for each sex and each season. The slaughter took place at the animal science laboratory, Department of Agronomy, Chadli Ben Djedid University of El Tarf. It is important to emphasize that this is not a slaughterhouse in the strict sense of the term, but rather a slaughtering area. The rabbits were weighed just before slaughter and their live weight at slaughter was recorded. The following criteria were measured according to the standards of the World Rabbit Science Association (Blasco and Ouhayoun, 1996). Immediately after evisceration, the carcasses were weighed (hot carcass weight), then placed in a cold room for 24 hours, after which the cold carcass weight was measured. The formulas applied to calculate slaughter performance were as follows:



 
Statistical analysis
 
Statistical analysis were performed using R (v4.5.1) with the tidyverse, ggplot2, car and emmeans packages (R Core Team, 2023). Live weight, hot/cold carcass weight and yields were subjected to a two-way ANOVA (sex × season) with post-hoc comparisons using emmeans (Tukey’s method). Relationships between weight variables were investigated using Pearson’s correlation coefficient (r). The assumptions of normality and homogeneity of variances were verified using the Shapiro-Wilk and Levene tests, respectively. The significance level was set at p<0.05, with a graded notation (p<0.05, p<0.01, p<0.001). The results were illustrated by boxplots, fitted curves and correlation graphs produced with ggplot2 (Wickham et al., 2023).
Weekly adjusted weight (LWW, by season and sex S0-S14)
 
Table 1 shows a typical sigmoidal growth pattern in weekly adjusted body weight from birth to 14 weeks of age across all season-sex combinations, with no significant difference at birth (33.2-48.0 g; p>0.05), suggesting that local Algerian rabbits are well adapted to Mediterranean climatic conditions, as previously reported for comparable North African populations (Zerrouki et al., 2001). Nevertheless, a sex-related effect was detected at birth in spring, where males were heavier than those born in autumn (44.6 g vs. 33.2 g; p = 0.0096), possibly reflecting the influence of increasing photoperiod and favorable thermal conditions on fetal development (Ouhayoun, 1997), whereas the absence of a significant seasonal effect in females (p = 0.13) is consistent with their greater reproductive stability (Piles et al., 2000). Although these neonatal differences were modest, they appeared to be amplified during postnatal growth, leading to a season-dependent sexual dimorphism, as also suggested by Martínez-Paredes et al. (2022). From weeks 6 to 8, growth acceleration became more pronounced in females (p = 0.0244), particularly in those born in winter, which may be explained by moderate temperatures and suitable photoperiod conditions that favor feed intake and metabolic efficiency (Theau-Clément, 2021; Dalle and Paci, 2014). Accordingly, winter females recorded the highest weight at S8 (893.6 g), outperforming males (630.6-707.1 g; p = 0.011). Where the ranking was winter females (1567.3 g) > spring females (1381.8 g) > mid-winter males (1131.0 g; p = 0.0019). Overall, these findings highlight a strong interaction between season and sex throughout the growth trajectory and support the interest of adapting breeding management to the reproductive season, particularly by favoring autumn-winter kindling (Gidenne et al., 2010).

Table 1: Least squares means (±SE) for the body weight of local rabbits by season and sex (week 0-week 14), (M: Males, F: Females).


 
Seasonal effects on rabbit growth performance
 
Repeated measures ANOVA showed highly significant seasonal effects on rabbit weight trajectories (p<0.001), with a season × sex interaction also significant (p = 0.023), confirming that the expression of growth potential depends on the combination of these two factors. Winter conditions appear generally favorable, due to reduced heat stress which improves intake and directs more energy towards growth (Noblet and Renaudeau, 2021). In this context, females from winter births showed the best performance over the whole period, with a live weight of 1567.3 g at S14, compared to 1381.8 g in spring and 1052.1 g in autumn, corresponding to an asymptotic advantage of 49%; they also reached 893.6 g at S8, or about 51% of their asymptotic adult weight (W∞ = 1748 g), with an ADG of 15.2 g/d. Conversely, autumn females show a more moderate weight at S8 (853.2 g) and a lower ADG (13.0 g/d) (Fig 1), which suggests an early compensatory type growth allowing them to limit the effect of less favorable conditions at the end of growth, as described in semi-humid systems (Gidenne et al., 2019). In males, those born in spring show a more marked initial growth, with a weight 43% higher from the first week (88.8 g versus 62.0 g in autumn), an advantage which is maintained until adulthood (1,234.7 g at S14), but their terminal performance seems more sensitive to the progressive increase of thermal stresses, which can delay the growth optimum towards S10 (Gacem et al., 2009; Lebas et al., 2019). These sex-specific seasonal differences appeared as early as the seventh week, as indicated by Dunn’s multiple comparison tests (p<0.05) and they are consistent with observations reported in other climatic contexts, notably in India, where the season of birth significantly influences post-weaning growth (Gupta et al., 2022).

Fig 1: Seasonal growth curves in rabbits, by sex; with significance tests.


 
Evolution of commercial growth: interactions between sex and season (7 to 10)
 
Fig 2 highlights a marked season × sex interaction during the S7-S10 commercial window, reflecting significant variability in growth performance among the groups studied. Winter-born females exhibited the best performance, with the highest average daily gain (ADG) (15.2 g/d) and maximum live weight at S8 (893.6 g), confirming their position as the most favorable combination for commercial production of local rabbits in Algeria (Lebas et al., 2019; Gidenne et al., 2019). Winter males followed with similarly high values (14.4 g/d), while five of the six groups exceeded the commercial threshold of 12.5 g/d, with the exception of autumn males (12.2 g/d), confirming the combined effect of season and sex on growth efficiency (Gupta et al., 2022; Bashiru and Oseni, 2025). At S8, spring males exhibited the lowest weight (630.6 g), below the commercial threshold of 750 g, while spring females also remained slightly underweight (757.6 g). This suggests a reduced ability of these groups to capitalize on late-growth conditions under increasing heat stress (Gacem et al., 2009). Conversely, autumn was characterized by high live weights despite a more moderate average daily gain (ADG), particularly in females (13.0 g/d) and males (12.2 g/d). This suggests compensatory early growth during the initial developmental phases, a phenomenon already described in local populations subjected to agroclimatic variations (Zerrouki et al., 2018). This performance distribution indicates that winter females combine high growth rate with optimal final biomass, making S8 a particularly advantageous slaughter window, with an estimated carcass yield between 58 and 62% of live weight (Dalle et al., 2024). Autumn females, despite slightly lower performance, show good adaptability in less favorable conditions (Gidenne, 2023), while spring males appear to be more penalized at the end of their growth, their optimum occurring around S10, likely due to increasing thermal stress (Lebas et al., 2019). Overall, these results highlight the phenotypic plasticity of the local rabbit in the face of agroclimatic variations and argue in favor of differentiated breeding management according to sex and season. with a particular appreciation of winter births for females (Fortun et al., 2021).

Fig 2: Average daily gain (g/day) between weeks 7 and 10 and live weight at week 8 (g) of local rabbits according to the season-sex interaction.


 
Live weight and carcass yield
 
In Table 2 mean values show significant variability depending on season and sex, as confirmed by the two-way analysis of variance (sex × season) (p<0.05). Analysis of the correlations between live weight and carcass traits reveals a direct, positive and highly significant relationship between total body mass at slaughter and the amount of muscle tissue recoverable as carcass (Table 1, Fig 1 and 2). These results confirm that live weight is a reliable indicator of carcass yield in domestic rabbits, consistent with the findings of Larzul and Gondret (2005).

Table 2: Average live weight, carcass weight and yield by season and sex.


 
Correlation between live weight and hot carcass weight
 
Correlation remains positive and highly significant (r = 0.742; p<0.001), although slightly lower than that observed for cold carcass weight. This difference is attributable to post-mortem moisture loss resulting from cooling and muscle contraction, leading to a reduction in weight between the two states (Fig 3). Similar observations have been reported by Zhao et al., (2024), highlighting that muscle water retention is a key determinant of final carcass mass. Seasonal effects are also confirmed.

Fig 3: Correlation between live weight and hot carcass weight.


       
In winter, hot carcass weights reach their peak values (888.8±143.2 g for females), reflecting the positive influence of moderate climatic conditions on muscle growth and tissue water stability. In spring, correlations remain strong, supported by a balanced diet and a steady growth rate. Conversely, in autumn, the relationship is weaker, likely due to fluctuating thermal conditions and increased metabolic stress, which affect energy conversion and carcass quality.
       
Regarding sex, the correlation is higher in females (r = 0.759; p<0.001) than in males (r = 0.495; p<0.01), reflecting greater weight stability before and after chilling. This difference is attributable to the higher intramuscular lipid content and superior water retention observed in females, consistent with the findings of Benali et al. (2025). Overall, these results demonstrate that live weight is a reliable predictor of meat production performance.
 
Correlation between live weight and cold carcass weight
 
The Pearson correlation test reveals a very strong linear relationship between live weight and cold carcass weight (r = 0.867; p<0.001), indicating that the heaviest rabbits at slaughter consistently yield the most developed carcasses (Fig 4). However, this relationship varies by season: the correlation peaks in winter, reflecting the beneficial effect of stable thermal conditions on muscle growth and weight retention. Females in winter show the best performance, with an average cold carcass weight of 800.0±134.9 g, reflecting enhanced metabolic and muscular efficiency. In the spring, the relationship remains high, suggesting an optimal balance between growth and moderate water loss. In the autumn, the correlation is weaker, likely due to slowed post-weaning growth and climatic variations affecting energy utilization and tissue composition.

Fig 4: Correlation between live weight and cold carcass weight according to sex.


       
The cold carcass weight observed in the present study is consistent with the findings of Kouadio et al., (2023), who reported that cold carcass weight followed the trend in live weight at slaughter, with no significant change in carcass yield.
       
The study by Brahmantiyo et al., (2021) highlights the genetic superiority of the HyLa line selected for heat resilience over the NN line, which is more sensitive to heat stress. These lines were evaluated under controlled tropical conditions, where high temperatures amplify differences in carcass performance. Regarding sex, the correlation is more pronounced in females (r = 0.934; p<0.001) than in males (r = 0.625; p<0.01), underscoring their greater weight uniformity and superior muscle retention capacity. These differences are attributed to endocrine and metabolic factors, such as improved protein utilization and higher anabolic activity, as reported by Martínez-Paredes et al. (2022).
       
An adjusted coefficient of determination of R2 = 0.749, indicating that nearly 75% of the variability in cold carcass weight is explained by live weight at slaughter. This result is comparable to those reported by Abdel-Rahman et al. (2023), who observed coefficients exceeding 0.85 between these two variables in rabbits of similar breeds.
 
Seasonal and sex-related effects on cold carcass yield
 
Cold carcass yield appears to be a particularly stable parameter, showing little influence from season, sex, or live weight (Fig 5). This low variability aligns with the observations of Moumen et al., (2016) regarding the local Aurès rabbit; they reported relatively constant slaughter yields despite significant variation in live weight, suggesting that the proportion of marketable mass remains generally predictable. Furthermore, recent methodological studies indicate that post-mortem stages particularly chilling tend to diminish individual differences, reinforcing the view that cold yield reflects a standardized fraction of the carcass (Croda-Andrade et al., 2022). Similarly, variations related to breed or sex can lead to structural differences in tissue distribution that may affect cooling weight loss (Derewicka et al., 2021).

Fig 5: Effect of sex and season on cold carcass yield.

This study analyzes the combined influence of season and sex on the growth and carcass performance of local rabbit populations. The results demonstrate clearly superior performance during winter, characterized by higher asymptotic weights and cold carcass weights, highlighting a strong correlation between weight gain and meat yield potential. Conversely, hot and cold carcass yields remain constant and independent of season, sex and live weight, revealing remarkable stability in the face of biological or climatic variations. This robustness improves the predictability of final yield and reinforces the value of these indicators for slaughter planning and the technical-economic optimization of the rabbit industry.
The present study was supported by the farm in Ain Elkarma was highly regarded for providing food and all the rabbit’s needs, peven when they are slaughtered. The Animal Breeding Laboratory, University of Eltarf Algeria, is greatly thanked for providing the research materials.
 
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. Abdel-Rahman, H., Attia, Y.A. and El-Sabrout, K. (2023). Seasonal variations in growth performance, carcass characteristics and blood metabolites of growing rabbits under subtropical conditions. Tropical Animal Health and Production. 55(3): 189. https://doi.org/10.1007/s11250-023-03589-4.

  2. Bashiru, H.A. and Oseni, S.O. (2025). Modeling growth performance of heterogeneous rabbits in a pastured system using nonlinear, spline and machine learning models. Journal of Animal Science and Biotechnology. 16(1): 1-12. https://doi.org/10.1186/s40104-025-01123-7.

  3. Benali, L., Gacem, M. and Belabbas, R. (2025). Impact of environmental variations on rabbit growth and carcass yield under North African conditions. African Journal of Animal Science. 55(2): 212-223.

  4. Bharathy, N., Sivakumar, K., Vasanthakumar, P. and Sakthivadivu, R. (2022). Rabbit farming in India: An overview. Agricultural Reviews. 43(2): 223-228. doi: 10.18805/ag.R-1907. 

  5. Blasco, A. and Ouhayoun, J. (1996). Harmonization of criteria and terminology in rabbit meat research. Revised proposal. World Rabbit Science. 4(2): 93-99. https://polipapers. upv.es/index.php/wrs/article/view/278.

  6. Bouhali, A., Homrani, A., Ferran, N., Lopes, S. and Emam, A.M. (2023). Assessment of genetic diversity among native Algerian rabbit populations using microsatellite markers. Archives Animal Breeding. 66(3): 207-215. https:// doi.org/10.5194/aab-66-207-2023. 

  7. Boukabene, F.K., Homrani, A. and Ammam, A. (2018). Population structure and genetic diversity using markers of four Algerian rabbit populations precludes hybridization with foreign breeds. South Asian Journal of Experimental Biology. 7(5). http://sajeb.org/index.php/sajeb/pages/ view/accepted_articles. 

  8. Boukhalfa, H., Guermah, O. and Chehma, A. (2020). Rabbit meat commercialization: Particularities and constraints in the region of Tizi-Ouzou (Algeria). International Journal of Innovative Agriculture Research. 2(2): 1-12. https:// ijiaar.penpublishing.net/makale/1673.

  9. Brahmantiyo, B., Pratiwi, N., Saputra, F., Raharjo, Y.C. and Prasetyo, L.H. (2021). Growth performance of male line of superior tropical rabbit. Tropical Animal Science Journal. 46(3): 321-329. https://doi.org/10.5398/tasj.2021.44.3.321.

  10. Dalle, Z.A. and Paci, G. (2014). Influence of environmental and genetic factors on rabbit growth and carcass quality: A review. World Rabbit Science. 22(4): 169-182. https:// doi.org/10.4995/wrs.2014.1679. 

  11. Dalle, Z.A. and Cullere M. (2024). Rabbit and quail: Little known but valuable meat sources. Czech J. Anim. Sci. https:// doi.org/10.17221/165/2023-CJAS.

  12. Croda-Andrade, A.Y., Valencia-García, C.G., Arbez-Abnal, T.A., Portillo-Salgado, R., Estrada-León, R.J., Vázquez-Martínez, I., Camacho-Pérez, E., Vargas-Bello-Pérez, E. and Chay- Canul, A.J. (2022). Using post-mortem measurements to predict carcass tissue composition in growing rabbits. Animals. 12(5): 605. https://doi.org/10.3390/ani12050605.

  13. Derewicka, O., Maj, D., Pałka, S. and Bieniek, J. (2021). Growth and carcass traits of burgundy fawn, flemish giant and New Zealand white rabbits and their crosses. Indian Journal of Animal Research. 55(5): 609-613. doi: 10.18805/ijar.B-1116. 

  14. El-Aksher, S.H., Abdel-Wareth, A.A.A., Khamis, T. and Metwally, H.M. (2020). Influence of breed, sex and age on growth performance and carcass traits of rabbits. Egyptian Poultry Science Journal. 40(3): 625-638. https://doi.org/ 10.21608/epsj.2020.106418. 

  15. El-Sabrout, K., Khalifah, A. and Ciani, F. (2023). Current applications and trends in rabbit nutraceuticals. Agriculture. 13(7): 1424. https://doi.org/10.3390/agriculture13071424.

  16. Fortun, L.L., Gidenne, T. and Gidenne, A. (2021). Non linear growth models and metabolic efficiency in rabbit production under mediterranean conditions. World Rabbit Science. 29(2): 101-111.

  17. Gacem, M., Zerrouki, N.D. and Aissioui, A. (2009). Comparison of growth performances of a local Algerian rabbit strain with commercial synthetic strains in a semi arid environment. Livestock Research for Rural Development. 21(10): 177.

  18. Gidenne, T., García, J., Lebas, F. and Licois, D. (2010). Nutrition and Feeding Strategy: Interactions with Pathology. In: Nutrition of the Rabbit, [de Blas, C.  and Wiseman, J. (Eds.)], CAB International. (2nd ed., pp. 179-197).

  19. Gidenne, T., Gidenne, A. and Fortun, L.L. (2019). Feed efficiency in rabbit production: Improvement strategies and impacts on compensatory growth and carcass quality. Productions Animales. 32(3): 205-214.  https://doi.org/10.20870/ productions animales. 2019.32.3.2546.

  20. Gidenne, T. (2023). Genetic and phenotypic plasticity of local rabbit populations in semi arid environments: implications for sustainable breeding strategies. Animal. 17(7): 104567.

  21. Gupta, J.P., Chaudhari, J.D., Srivastava, A.K. and Chaudhary, A.P. (2022). Modeling of growth curve in farm bred broiler rabbits in organized rabbitry. Indian Journal of Animal Sciences. 92(12): 1476-1481. https://doi.org/10.56093/ ijans.v92i12.128220. 

  22. Kouadio, K.S., Yapi, Y.M., Kimse, M., Alla, K.J.B., Gidenne, T. and Wandan, E.N. (2023). Sun-dried Stylo hay (Stylosanthes guianensis CIAT 184) as dietary fibre source in rabbits. Indian Journal of Animal Research. 57(11): 1512-1516. doi: 10.18805/IJAR.BF-1501.

  23. Larzul, C. and Gondret, F. (2005). Influence de la sélection sur la croissance et la qualité de la viande de lapin. Journées de la Recherche Cunicole.

  24. Lebas, F., Gidenne, T. and Bénétrix, R. (2019). Functional feeding strategies for rabbit growth and carcass quality in temperate and semi arid environments. World Rabbit Science. 27(3): 147-155. https://doi.org/10.4995/wrs. 2019.12045. 

  25. Martínez-Paredes, E., Nicodemus, N., Pascual, J.J. and García, J. (2022). Challenges in rabbit doe feeding, including the young doe. World Rabbit Science. 30(1): 13-34. doi: 10.4995/wrs.2022.15562.

  26. Maziz-Bettahar, S., Aissi, M., Ain Baziz, H., Saddek, B.M. and Safia, Z.S. (2019). Prévalence de l’infection coccidienne du lapin dans trois régions d’Algérie. 18èmes Journées de la Recherche Cunicole, pp. 17-20.

  27. Mouhous, A., Djellal, F., Guermah, H. and Kadi, S.A. (2020). Technical and economic performance of dairy cattle farming in mountain areas in Tizi-Ouzou, Algeria. Biotechnology in Animal Husbandry. 36(4): 487-498.  

  28. Moumen, S., Melizi, M. and Zerrouki-Daoudi, N. (2016). Evaluation of Local Rabbit’s Growth, Carcass Quality and Yield (Aurès region, Algeria). LRRD. lrrd.cipav.org.com.

  29. Mourad, M., Chehma, A. and Faye, B. (2015). Rabbit farming systems in northern Algeria: Characterization and productivity of family farms. Journal of International Scientific Publications: Agriculture and Food. 3: 1-8. http://www.scientific-publications.net.

  30. Noblet, J. and Renaudeau, D. (2021). Heat stress in rabbits: Effects on feed intake, growth and production mechanisms and mitigation strategies. Animal. 15(2): 100-112. https:// doi.org/10.1017/  S1751731121000100.

  31. Ouhayoun, J. (1997). Influence du mode d’élevage sur la qualité de la carcasse. Productions Animales. 10(2): 151-160.

  32. Piles, M., Blasco, A. and Pla, M. (2000). The effects of rabbit selection for growth rate on slaughter performance. Meat Science. 54(4): 347-355. https://doi.org/10.1016/ S0309-1740(99)00107-4.

  33. Peixoto-Gonçalves, C., Martínez-Paredes, E., Ródenas, L., Corpa, J.M., Blas, E., Cambra-López, M. and Pascual, J.J. (2023). Growth performance of three paternal rabbit lines with different potential for growth rate and resilience. World Rabbit Science. 31: 221-228. https://doi.org/10.4995/ wrs.2023.19841.

  34. R Core Team. (2023). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. https:// www.R-project.org/. 

  35. Saidi, S., Chehma, A. and Faye, B. (2013). Traditional rabbit farming systems in Eastern Algeria: Characterization and productivity assessment. Livestock Research for Rural Development. 25(8): 145. http://www.lrrd.org/lrrd25/8/said25145.htm.

  36. Sid, S., Benyoucef, M.T., Korteby, H.M. and Boudjenah, H. (2018). Performances de reproduction des lapines de souche synthétique et de population blanche en Algérie. Livestock Research for Rural Development. 30(7). https://www.lrrd. org/lrrd30/7/sid30120.html. 

  37. Theau-Clément, M. (2021). Preparation of the rabbit doe to insemination: A review. World Rabbit Science. 29(2): 111-128. https:// doi.org/10.4995/wrs.2021.8543. 

  38. Wickham, H., Chang, W., Henry, L., Pedersen, T. L., Takahashi, K., Wilke, C., Woo, K., Yutani, H. and Dunnington, D. (2023). ggplot2: Create elegant data visualisations using the grammar of graphics. (Version 3.4.0) [Logiciel]. https:// CRAN.R-project.org/package=ggplot2. 

  39. Zhao, X., Li, Y. and Zhang, J. (2024). Seasonal variations in production performance, health status and gut microbiota of meat rabbits reared in semi-confined conditions. Animals. 14(1): 113. https://doi.org/10.3390/ani14010113. 

  40. Zerrouki, N., Berchiche, M.  and Lebas, F. (2001). Évaluation des performances de reproduction de lapines locales algériennes. 7èmes Journées de la Recherche Cunicicole, Paris. pp 65-68.

  41. Zerrouki, N., Kadi, S.A., Berchiche, M. and Bolet, G. (2005). Evaluation of Productivity of does from an Algerian Local Rabbit Population in Experimental Station and Farm Conditions. In Proceedings of the 2nd Rabbit Research Days. Paris, France. (pp. 11-14).                                                     

  42. Zerrouki, N.D., Gacem, M. and Aissioui, A. (2018). Characterisation of a local Algerian rabbit strain under tropical dry conditions: Growth, reproduction and environmental adaptation. World Rabbit Science. 26(4): 217-226. https://doi.org/ 10.4995/wrs.

Influence of Season and Sex on Growth and Carcass Performance of Local Rabbits in North-Eastern Algeria

N
Nedjoua BERKOUS1,*
S
Soumia FERROUDJ2
M
Mounia HOMRANI3
A
Abdelkader E.A. DAHOU3
C
Chadli AISSAOUI1
A
Abdelkader HOMRANI3
1Depertement of Biology, University, Chadli Ben Djedid Eltarf, Algeria.
2Departement of Biology, University, Badji Mokhtar Annaba, Algeria.
3Laboratery of Animal Production Science and Technology Research, University, Mostaganem, Algeria.
Cite article:- BERKOUS Nedjoua, FERROUDJ Soumia, HOMRANI Mounia, DAHOU E.A. Abdelkader, AISSAOUI Chadli, HOMRANI Abdelkader (2026). Influence of Season and Sex on Growth and Carcass Performance of Local Rabbits in North-Eastern Algeria . Agricultural Science Digest. 46: 136-142. doi: 10.18805/ag.DF-916.

Background: Rabbit farming in Algeria still occupies a modest place, but it presents interesting potential for meat production and income diversification in rural areas. Adapted to small farms, rabbit farming can contribute to improving the supply of animal protein. This study examines the effect of season and sex on the growth, live weight, hot carcass, cold carcass and associated yields of local rabbits raised in the El Tarf province.

Methods: The study was conducted on a total of 83 rabbits raised in a traditional system in Ain Elkarma, El Tarf province (Northeast Algeria), from birth to 14 weeks.

Result: Significant commercial growth occurred during the S7-S10 phase. The season × sex interaction was significant (p<0.01), with better performance in females born in winter (1567.3 g S14) in females, which also had the best cold carcasses (≈800 g). Rabbits of both sexes frequently exceed 1000 g by the 9th week in winter. A strong correlation between live weight and cold carcass weight (r = 0.867; p<0.001) was observed, confirming the link between body development and marketable muscle mass. Conversely, cold yields remain remarkably stable, with no significant influence of season, sex or live weight (p>0.05; R2<0.10), indicating a low sensitivity of these parameters to biological or climatic variations. This stability enhances the predictability of final yield and is a major asset for the technical and economic optimization of the rabbit farming sector. The results reveal an adaptive plasticity of this local population and indicate the interest of differentiated management strategies according to season and sex to optimize zootechnical value in a semi-humid environment.

Rabbit farming is an important source of meat in Algeria and contributes to the supply of animal protein in rural and peri-urban areas (Boukhalfa et al., 2020; Bharathy et al., 2022). In this context, the local rabbit, in addition to the breeds and/or strains listed such as the so-called “Kabyle” breed or the synthetic white strain ITELV 2006 (Sid et al., 2018), mobilizes many researchers to characterize it as fixed and efficient breeds (Boukabane et al., 2018 and  Bouhali et al., 2023).
       
In Algeria, studies on the local rabbit have mainly focused on nutrition, reproduction and general performance, while the combined effect of season and sex on weekly growth remains poorly documented (Mouhous et al., 2020; Maziz-Bettahar et al., 2019). However, these two factors can influence growth dynamics, particularly in Mediterranean environments subject to marked thermal and photoperiodic variations (Lebas et al., 2019; El-Aksher et al., 2020; El-Sabrout et al., 2023). Studying this interaction is therefore necessary to better understand the expression of the growth potential of the local Algerian rabbit population. Carcass quality and hot and cold yields, for their part, represent essential indicators for the techno-economic evaluation of the meat sector (Abdel-Rahman et al., 2023).
       
This study therefore aims to evaluate the combined effect of season and sex on growth with the objective evaluation of carcass performance of these local rabbits. Its objectives are to quantify live weight variations according to season × sex groups. By simultaneously studying growth, hot and cold carcass masses and corresponding yields, this study proposes a multidimensional approach to identify optimal slaughter periods, improve livestock management strategies and refine techno-economic prediction tools. Ultimately, this approach should help to define more relevant slaughter windows and to propose breeding practices better adapted to local conditions, with a view to the sustainable valorization of local Algerian rabbits.
This study was conducted on a rabbit farm in Aïn El Karma, wilaya of El Tarf, northeastern Algeria, characterized by a semi-humid Mediterranean climate. The rabbit kits came from the same litters and local, non-genetically selected herds (Zerrouki et al., 2005) and were fattened according to traditional practices (Saidi et al., 2013; Mourad et al., 2015). The rearing was carried out with natural ventilation and lighting, with ad libitum feeding based on green fodder and local agricultural by-products and free access to water.
       
The study involved 83 rabbit kits (males and females) distributed across three seasons (autumn, winter, spring) to evaluate the season × sex interaction on growth dynamics. The fattening period extended from 2022 to 2023, with monitoring from W0 (birth) to W14 (14 weeks) according to maturity stages. Weekly weighings were carried out at a fixed time using a precision electronic scale (±1 g). Average weekly weights were then calculated for each sex and each season. The slaughter took place at the animal science laboratory, Department of Agronomy, Chadli Ben Djedid University of El Tarf. It is important to emphasize that this is not a slaughterhouse in the strict sense of the term, but rather a slaughtering area. The rabbits were weighed just before slaughter and their live weight at slaughter was recorded. The following criteria were measured according to the standards of the World Rabbit Science Association (Blasco and Ouhayoun, 1996). Immediately after evisceration, the carcasses were weighed (hot carcass weight), then placed in a cold room for 24 hours, after which the cold carcass weight was measured. The formulas applied to calculate slaughter performance were as follows:



 
Statistical analysis
 
Statistical analysis were performed using R (v4.5.1) with the tidyverse, ggplot2, car and emmeans packages (R Core Team, 2023). Live weight, hot/cold carcass weight and yields were subjected to a two-way ANOVA (sex × season) with post-hoc comparisons using emmeans (Tukey’s method). Relationships between weight variables were investigated using Pearson’s correlation coefficient (r). The assumptions of normality and homogeneity of variances were verified using the Shapiro-Wilk and Levene tests, respectively. The significance level was set at p<0.05, with a graded notation (p<0.05, p<0.01, p<0.001). The results were illustrated by boxplots, fitted curves and correlation graphs produced with ggplot2 (Wickham et al., 2023).
Weekly adjusted weight (LWW, by season and sex S0-S14)
 
Table 1 shows a typical sigmoidal growth pattern in weekly adjusted body weight from birth to 14 weeks of age across all season-sex combinations, with no significant difference at birth (33.2-48.0 g; p>0.05), suggesting that local Algerian rabbits are well adapted to Mediterranean climatic conditions, as previously reported for comparable North African populations (Zerrouki et al., 2001). Nevertheless, a sex-related effect was detected at birth in spring, where males were heavier than those born in autumn (44.6 g vs. 33.2 g; p = 0.0096), possibly reflecting the influence of increasing photoperiod and favorable thermal conditions on fetal development (Ouhayoun, 1997), whereas the absence of a significant seasonal effect in females (p = 0.13) is consistent with their greater reproductive stability (Piles et al., 2000). Although these neonatal differences were modest, they appeared to be amplified during postnatal growth, leading to a season-dependent sexual dimorphism, as also suggested by Martínez-Paredes et al. (2022). From weeks 6 to 8, growth acceleration became more pronounced in females (p = 0.0244), particularly in those born in winter, which may be explained by moderate temperatures and suitable photoperiod conditions that favor feed intake and metabolic efficiency (Theau-Clément, 2021; Dalle and Paci, 2014). Accordingly, winter females recorded the highest weight at S8 (893.6 g), outperforming males (630.6-707.1 g; p = 0.011). Where the ranking was winter females (1567.3 g) > spring females (1381.8 g) > mid-winter males (1131.0 g; p = 0.0019). Overall, these findings highlight a strong interaction between season and sex throughout the growth trajectory and support the interest of adapting breeding management to the reproductive season, particularly by favoring autumn-winter kindling (Gidenne et al., 2010).

Table 1: Least squares means (±SE) for the body weight of local rabbits by season and sex (week 0-week 14), (M: Males, F: Females).


 
Seasonal effects on rabbit growth performance
 
Repeated measures ANOVA showed highly significant seasonal effects on rabbit weight trajectories (p<0.001), with a season × sex interaction also significant (p = 0.023), confirming that the expression of growth potential depends on the combination of these two factors. Winter conditions appear generally favorable, due to reduced heat stress which improves intake and directs more energy towards growth (Noblet and Renaudeau, 2021). In this context, females from winter births showed the best performance over the whole period, with a live weight of 1567.3 g at S14, compared to 1381.8 g in spring and 1052.1 g in autumn, corresponding to an asymptotic advantage of 49%; they also reached 893.6 g at S8, or about 51% of their asymptotic adult weight (W∞ = 1748 g), with an ADG of 15.2 g/d. Conversely, autumn females show a more moderate weight at S8 (853.2 g) and a lower ADG (13.0 g/d) (Fig 1), which suggests an early compensatory type growth allowing them to limit the effect of less favorable conditions at the end of growth, as described in semi-humid systems (Gidenne et al., 2019). In males, those born in spring show a more marked initial growth, with a weight 43% higher from the first week (88.8 g versus 62.0 g in autumn), an advantage which is maintained until adulthood (1,234.7 g at S14), but their terminal performance seems more sensitive to the progressive increase of thermal stresses, which can delay the growth optimum towards S10 (Gacem et al., 2009; Lebas et al., 2019). These sex-specific seasonal differences appeared as early as the seventh week, as indicated by Dunn’s multiple comparison tests (p<0.05) and they are consistent with observations reported in other climatic contexts, notably in India, where the season of birth significantly influences post-weaning growth (Gupta et al., 2022).

Fig 1: Seasonal growth curves in rabbits, by sex; with significance tests.


 
Evolution of commercial growth: interactions between sex and season (7 to 10)
 
Fig 2 highlights a marked season × sex interaction during the S7-S10 commercial window, reflecting significant variability in growth performance among the groups studied. Winter-born females exhibited the best performance, with the highest average daily gain (ADG) (15.2 g/d) and maximum live weight at S8 (893.6 g), confirming their position as the most favorable combination for commercial production of local rabbits in Algeria (Lebas et al., 2019; Gidenne et al., 2019). Winter males followed with similarly high values (14.4 g/d), while five of the six groups exceeded the commercial threshold of 12.5 g/d, with the exception of autumn males (12.2 g/d), confirming the combined effect of season and sex on growth efficiency (Gupta et al., 2022; Bashiru and Oseni, 2025). At S8, spring males exhibited the lowest weight (630.6 g), below the commercial threshold of 750 g, while spring females also remained slightly underweight (757.6 g). This suggests a reduced ability of these groups to capitalize on late-growth conditions under increasing heat stress (Gacem et al., 2009). Conversely, autumn was characterized by high live weights despite a more moderate average daily gain (ADG), particularly in females (13.0 g/d) and males (12.2 g/d). This suggests compensatory early growth during the initial developmental phases, a phenomenon already described in local populations subjected to agroclimatic variations (Zerrouki et al., 2018). This performance distribution indicates that winter females combine high growth rate with optimal final biomass, making S8 a particularly advantageous slaughter window, with an estimated carcass yield between 58 and 62% of live weight (Dalle et al., 2024). Autumn females, despite slightly lower performance, show good adaptability in less favorable conditions (Gidenne, 2023), while spring males appear to be more penalized at the end of their growth, their optimum occurring around S10, likely due to increasing thermal stress (Lebas et al., 2019). Overall, these results highlight the phenotypic plasticity of the local rabbit in the face of agroclimatic variations and argue in favor of differentiated breeding management according to sex and season. with a particular appreciation of winter births for females (Fortun et al., 2021).

Fig 2: Average daily gain (g/day) between weeks 7 and 10 and live weight at week 8 (g) of local rabbits according to the season-sex interaction.


 
Live weight and carcass yield
 
In Table 2 mean values show significant variability depending on season and sex, as confirmed by the two-way analysis of variance (sex × season) (p<0.05). Analysis of the correlations between live weight and carcass traits reveals a direct, positive and highly significant relationship between total body mass at slaughter and the amount of muscle tissue recoverable as carcass (Table 1, Fig 1 and 2). These results confirm that live weight is a reliable indicator of carcass yield in domestic rabbits, consistent with the findings of Larzul and Gondret (2005).

Table 2: Average live weight, carcass weight and yield by season and sex.


 
Correlation between live weight and hot carcass weight
 
Correlation remains positive and highly significant (r = 0.742; p<0.001), although slightly lower than that observed for cold carcass weight. This difference is attributable to post-mortem moisture loss resulting from cooling and muscle contraction, leading to a reduction in weight between the two states (Fig 3). Similar observations have been reported by Zhao et al., (2024), highlighting that muscle water retention is a key determinant of final carcass mass. Seasonal effects are also confirmed.

Fig 3: Correlation between live weight and hot carcass weight.


       
In winter, hot carcass weights reach their peak values (888.8±143.2 g for females), reflecting the positive influence of moderate climatic conditions on muscle growth and tissue water stability. In spring, correlations remain strong, supported by a balanced diet and a steady growth rate. Conversely, in autumn, the relationship is weaker, likely due to fluctuating thermal conditions and increased metabolic stress, which affect energy conversion and carcass quality.
       
Regarding sex, the correlation is higher in females (r = 0.759; p<0.001) than in males (r = 0.495; p<0.01), reflecting greater weight stability before and after chilling. This difference is attributable to the higher intramuscular lipid content and superior water retention observed in females, consistent with the findings of Benali et al. (2025). Overall, these results demonstrate that live weight is a reliable predictor of meat production performance.
 
Correlation between live weight and cold carcass weight
 
The Pearson correlation test reveals a very strong linear relationship between live weight and cold carcass weight (r = 0.867; p<0.001), indicating that the heaviest rabbits at slaughter consistently yield the most developed carcasses (Fig 4). However, this relationship varies by season: the correlation peaks in winter, reflecting the beneficial effect of stable thermal conditions on muscle growth and weight retention. Females in winter show the best performance, with an average cold carcass weight of 800.0±134.9 g, reflecting enhanced metabolic and muscular efficiency. In the spring, the relationship remains high, suggesting an optimal balance between growth and moderate water loss. In the autumn, the correlation is weaker, likely due to slowed post-weaning growth and climatic variations affecting energy utilization and tissue composition.

Fig 4: Correlation between live weight and cold carcass weight according to sex.


       
The cold carcass weight observed in the present study is consistent with the findings of Kouadio et al., (2023), who reported that cold carcass weight followed the trend in live weight at slaughter, with no significant change in carcass yield.
       
The study by Brahmantiyo et al., (2021) highlights the genetic superiority of the HyLa line selected for heat resilience over the NN line, which is more sensitive to heat stress. These lines were evaluated under controlled tropical conditions, where high temperatures amplify differences in carcass performance. Regarding sex, the correlation is more pronounced in females (r = 0.934; p<0.001) than in males (r = 0.625; p<0.01), underscoring their greater weight uniformity and superior muscle retention capacity. These differences are attributed to endocrine and metabolic factors, such as improved protein utilization and higher anabolic activity, as reported by Martínez-Paredes et al. (2022).
       
An adjusted coefficient of determination of R2 = 0.749, indicating that nearly 75% of the variability in cold carcass weight is explained by live weight at slaughter. This result is comparable to those reported by Abdel-Rahman et al. (2023), who observed coefficients exceeding 0.85 between these two variables in rabbits of similar breeds.
 
Seasonal and sex-related effects on cold carcass yield
 
Cold carcass yield appears to be a particularly stable parameter, showing little influence from season, sex, or live weight (Fig 5). This low variability aligns with the observations of Moumen et al., (2016) regarding the local Aurès rabbit; they reported relatively constant slaughter yields despite significant variation in live weight, suggesting that the proportion of marketable mass remains generally predictable. Furthermore, recent methodological studies indicate that post-mortem stages particularly chilling tend to diminish individual differences, reinforcing the view that cold yield reflects a standardized fraction of the carcass (Croda-Andrade et al., 2022). Similarly, variations related to breed or sex can lead to structural differences in tissue distribution that may affect cooling weight loss (Derewicka et al., 2021).

Fig 5: Effect of sex and season on cold carcass yield.

This study analyzes the combined influence of season and sex on the growth and carcass performance of local rabbit populations. The results demonstrate clearly superior performance during winter, characterized by higher asymptotic weights and cold carcass weights, highlighting a strong correlation between weight gain and meat yield potential. Conversely, hot and cold carcass yields remain constant and independent of season, sex and live weight, revealing remarkable stability in the face of biological or climatic variations. This robustness improves the predictability of final yield and reinforces the value of these indicators for slaughter planning and the technical-economic optimization of the rabbit industry.
The present study was supported by the farm in Ain Elkarma was highly regarded for providing food and all the rabbit’s needs, peven when they are slaughtered. The Animal Breeding Laboratory, University of Eltarf Algeria, is greatly thanked for providing the research materials.
 
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. Abdel-Rahman, H., Attia, Y.A. and El-Sabrout, K. (2023). Seasonal variations in growth performance, carcass characteristics and blood metabolites of growing rabbits under subtropical conditions. Tropical Animal Health and Production. 55(3): 189. https://doi.org/10.1007/s11250-023-03589-4.

  2. Bashiru, H.A. and Oseni, S.O. (2025). Modeling growth performance of heterogeneous rabbits in a pastured system using nonlinear, spline and machine learning models. Journal of Animal Science and Biotechnology. 16(1): 1-12. https://doi.org/10.1186/s40104-025-01123-7.

  3. Benali, L., Gacem, M. and Belabbas, R. (2025). Impact of environmental variations on rabbit growth and carcass yield under North African conditions. African Journal of Animal Science. 55(2): 212-223.

  4. Bharathy, N., Sivakumar, K., Vasanthakumar, P. and Sakthivadivu, R. (2022). Rabbit farming in India: An overview. Agricultural Reviews. 43(2): 223-228. doi: 10.18805/ag.R-1907. 

  5. Blasco, A. and Ouhayoun, J. (1996). Harmonization of criteria and terminology in rabbit meat research. Revised proposal. World Rabbit Science. 4(2): 93-99. https://polipapers. upv.es/index.php/wrs/article/view/278.

  6. Bouhali, A., Homrani, A., Ferran, N., Lopes, S. and Emam, A.M. (2023). Assessment of genetic diversity among native Algerian rabbit populations using microsatellite markers. Archives Animal Breeding. 66(3): 207-215. https:// doi.org/10.5194/aab-66-207-2023. 

  7. Boukabene, F.K., Homrani, A. and Ammam, A. (2018). Population structure and genetic diversity using markers of four Algerian rabbit populations precludes hybridization with foreign breeds. South Asian Journal of Experimental Biology. 7(5). http://sajeb.org/index.php/sajeb/pages/ view/accepted_articles. 

  8. Boukhalfa, H., Guermah, O. and Chehma, A. (2020). Rabbit meat commercialization: Particularities and constraints in the region of Tizi-Ouzou (Algeria). International Journal of Innovative Agriculture Research. 2(2): 1-12. https:// ijiaar.penpublishing.net/makale/1673.

  9. Brahmantiyo, B., Pratiwi, N., Saputra, F., Raharjo, Y.C. and Prasetyo, L.H. (2021). Growth performance of male line of superior tropical rabbit. Tropical Animal Science Journal. 46(3): 321-329. https://doi.org/10.5398/tasj.2021.44.3.321.

  10. Dalle, Z.A. and Paci, G. (2014). Influence of environmental and genetic factors on rabbit growth and carcass quality: A review. World Rabbit Science. 22(4): 169-182. https:// doi.org/10.4995/wrs.2014.1679. 

  11. Dalle, Z.A. and Cullere M. (2024). Rabbit and quail: Little known but valuable meat sources. Czech J. Anim. Sci. https:// doi.org/10.17221/165/2023-CJAS.

  12. Croda-Andrade, A.Y., Valencia-García, C.G., Arbez-Abnal, T.A., Portillo-Salgado, R., Estrada-León, R.J., Vázquez-Martínez, I., Camacho-Pérez, E., Vargas-Bello-Pérez, E. and Chay- Canul, A.J. (2022). Using post-mortem measurements to predict carcass tissue composition in growing rabbits. Animals. 12(5): 605. https://doi.org/10.3390/ani12050605.

  13. Derewicka, O., Maj, D., Pałka, S. and Bieniek, J. (2021). Growth and carcass traits of burgundy fawn, flemish giant and New Zealand white rabbits and their crosses. Indian Journal of Animal Research. 55(5): 609-613. doi: 10.18805/ijar.B-1116. 

  14. El-Aksher, S.H., Abdel-Wareth, A.A.A., Khamis, T. and Metwally, H.M. (2020). Influence of breed, sex and age on growth performance and carcass traits of rabbits. Egyptian Poultry Science Journal. 40(3): 625-638. https://doi.org/ 10.21608/epsj.2020.106418. 

  15. El-Sabrout, K., Khalifah, A. and Ciani, F. (2023). Current applications and trends in rabbit nutraceuticals. Agriculture. 13(7): 1424. https://doi.org/10.3390/agriculture13071424.

  16. Fortun, L.L., Gidenne, T. and Gidenne, A. (2021). Non linear growth models and metabolic efficiency in rabbit production under mediterranean conditions. World Rabbit Science. 29(2): 101-111.

  17. Gacem, M., Zerrouki, N.D. and Aissioui, A. (2009). Comparison of growth performances of a local Algerian rabbit strain with commercial synthetic strains in a semi arid environment. Livestock Research for Rural Development. 21(10): 177.

  18. Gidenne, T., García, J., Lebas, F. and Licois, D. (2010). Nutrition and Feeding Strategy: Interactions with Pathology. In: Nutrition of the Rabbit, [de Blas, C.  and Wiseman, J. (Eds.)], CAB International. (2nd ed., pp. 179-197).

  19. Gidenne, T., Gidenne, A. and Fortun, L.L. (2019). Feed efficiency in rabbit production: Improvement strategies and impacts on compensatory growth and carcass quality. Productions Animales. 32(3): 205-214.  https://doi.org/10.20870/ productions animales. 2019.32.3.2546.

  20. Gidenne, T. (2023). Genetic and phenotypic plasticity of local rabbit populations in semi arid environments: implications for sustainable breeding strategies. Animal. 17(7): 104567.

  21. Gupta, J.P., Chaudhari, J.D., Srivastava, A.K. and Chaudhary, A.P. (2022). Modeling of growth curve in farm bred broiler rabbits in organized rabbitry. Indian Journal of Animal Sciences. 92(12): 1476-1481. https://doi.org/10.56093/ ijans.v92i12.128220. 

  22. Kouadio, K.S., Yapi, Y.M., Kimse, M., Alla, K.J.B., Gidenne, T. and Wandan, E.N. (2023). Sun-dried Stylo hay (Stylosanthes guianensis CIAT 184) as dietary fibre source in rabbits. Indian Journal of Animal Research. 57(11): 1512-1516. doi: 10.18805/IJAR.BF-1501.

  23. Larzul, C. and Gondret, F. (2005). Influence de la sélection sur la croissance et la qualité de la viande de lapin. Journées de la Recherche Cunicole.

  24. Lebas, F., Gidenne, T. and Bénétrix, R. (2019). Functional feeding strategies for rabbit growth and carcass quality in temperate and semi arid environments. World Rabbit Science. 27(3): 147-155. https://doi.org/10.4995/wrs. 2019.12045. 

  25. Martínez-Paredes, E., Nicodemus, N., Pascual, J.J. and García, J. (2022). Challenges in rabbit doe feeding, including the young doe. World Rabbit Science. 30(1): 13-34. doi: 10.4995/wrs.2022.15562.

  26. Maziz-Bettahar, S., Aissi, M., Ain Baziz, H., Saddek, B.M. and Safia, Z.S. (2019). Prévalence de l’infection coccidienne du lapin dans trois régions d’Algérie. 18èmes Journées de la Recherche Cunicole, pp. 17-20.

  27. Mouhous, A., Djellal, F., Guermah, H. and Kadi, S.A. (2020). Technical and economic performance of dairy cattle farming in mountain areas in Tizi-Ouzou, Algeria. Biotechnology in Animal Husbandry. 36(4): 487-498.  

  28. Moumen, S., Melizi, M. and Zerrouki-Daoudi, N. (2016). Evaluation of Local Rabbit’s Growth, Carcass Quality and Yield (Aurès region, Algeria). LRRD. lrrd.cipav.org.com.

  29. Mourad, M., Chehma, A. and Faye, B. (2015). Rabbit farming systems in northern Algeria: Characterization and productivity of family farms. Journal of International Scientific Publications: Agriculture and Food. 3: 1-8. http://www.scientific-publications.net.

  30. Noblet, J. and Renaudeau, D. (2021). Heat stress in rabbits: Effects on feed intake, growth and production mechanisms and mitigation strategies. Animal. 15(2): 100-112. https:// doi.org/10.1017/  S1751731121000100.

  31. Ouhayoun, J. (1997). Influence du mode d’élevage sur la qualité de la carcasse. Productions Animales. 10(2): 151-160.

  32. Piles, M., Blasco, A. and Pla, M. (2000). The effects of rabbit selection for growth rate on slaughter performance. Meat Science. 54(4): 347-355. https://doi.org/10.1016/ S0309-1740(99)00107-4.

  33. Peixoto-Gonçalves, C., Martínez-Paredes, E., Ródenas, L., Corpa, J.M., Blas, E., Cambra-López, M. and Pascual, J.J. (2023). Growth performance of three paternal rabbit lines with different potential for growth rate and resilience. World Rabbit Science. 31: 221-228. https://doi.org/10.4995/ wrs.2023.19841.

  34. R Core Team. (2023). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. https:// www.R-project.org/. 

  35. Saidi, S., Chehma, A. and Faye, B. (2013). Traditional rabbit farming systems in Eastern Algeria: Characterization and productivity assessment. Livestock Research for Rural Development. 25(8): 145. http://www.lrrd.org/lrrd25/8/said25145.htm.

  36. Sid, S., Benyoucef, M.T., Korteby, H.M. and Boudjenah, H. (2018). Performances de reproduction des lapines de souche synthétique et de population blanche en Algérie. Livestock Research for Rural Development. 30(7). https://www.lrrd. org/lrrd30/7/sid30120.html. 

  37. Theau-Clément, M. (2021). Preparation of the rabbit doe to insemination: A review. World Rabbit Science. 29(2): 111-128. https:// doi.org/10.4995/wrs.2021.8543. 

  38. Wickham, H., Chang, W., Henry, L., Pedersen, T. L., Takahashi, K., Wilke, C., Woo, K., Yutani, H. and Dunnington, D. (2023). ggplot2: Create elegant data visualisations using the grammar of graphics. (Version 3.4.0) [Logiciel]. https:// CRAN.R-project.org/package=ggplot2. 

  39. Zhao, X., Li, Y. and Zhang, J. (2024). Seasonal variations in production performance, health status and gut microbiota of meat rabbits reared in semi-confined conditions. Animals. 14(1): 113. https://doi.org/10.3390/ani14010113. 

  40. Zerrouki, N., Berchiche, M.  and Lebas, F. (2001). Évaluation des performances de reproduction de lapines locales algériennes. 7èmes Journées de la Recherche Cunicicole, Paris. pp 65-68.

  41. Zerrouki, N., Kadi, S.A., Berchiche, M. and Bolet, G. (2005). Evaluation of Productivity of does from an Algerian Local Rabbit Population in Experimental Station and Farm Conditions. In Proceedings of the 2nd Rabbit Research Days. Paris, France. (pp. 11-14).                                                     

  42. Zerrouki, N.D., Gacem, M. and Aissioui, A. (2018). Characterisation of a local Algerian rabbit strain under tropical dry conditions: Growth, reproduction and environmental adaptation. World Rabbit Science. 26(4): 217-226. https://doi.org/ 10.4995/wrs.
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