Adoption Barriers to Advanced Reproductive Technologies in the Subsistence Dairy Farming Systems: Key Constraints and the Way Forward

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Year : 2026 | Volume : 12 | 01 | Page :
    By

    Md. Emran Hossain,

  1. Professor, Department of Animal Science and Nutrition, Chattogram Veterinary and Animal Sciences University, Khulshi, Chattogram-4225, , Bangladesh

Abstract

The adoption of advanced reproductive technologies (ARTs) in subsistence dairy farming remains limited despite their potential to enhance genetic improvement, fertility rates, and overall productivity. This study explores the key constraints hindering the integration of ARTs, including artificial insemination, embryo transfer, and ovulation synchronization, within small-scale dairy production systems. Financial constraints, lack of awareness, inadequate veterinary support, and socio-cultural resistance are identified as primary barriers. Limited access to affordable credit, high costs of reproductive inputs, and weak market linkages discourage investment in ARTs. Additionally, infrastructural deficiencies such as inadequate cold storage for semen preservation, unreliable veterinary services, and poor transportation networks further impede adoption. Socio-cultural beliefs and traditional breeding preferences often deter farmers from embracing modern reproductive practices, while policy gaps, weak institutional support, and insufficient farmer training exacerbate the challenges. Environmental factors, including heat stress and seasonal variations, further influence reproductive efficiency in dairy cattle. Addressing these constraints requires a multifaceted approach, including financial incentives, capacity-building programs, strengthened veterinary extension services, and the development of localized, low-cost reproductive technologies. The study underscores the need for integrated policies and stakeholder collaboration to facilitate ART adoption, thereby improving the sustainability and productivity of subsistence dairy farming systems.

Keywords: Adoption, constraints, dairy farming, reproductive technologies, smallholder, subsistence, sustainability

How to cite this article:
Md. Emran Hossain. Adoption Barriers to Advanced Reproductive Technologies in the Subsistence Dairy Farming Systems: Key Constraints and the Way Forward. International Journal of Animal Biotechnology and Applications. 2026; 12(01):-.
How to cite this URL:
Md. Emran Hossain. Adoption Barriers to Advanced Reproductive Technologies in the Subsistence Dairy Farming Systems: Key Constraints and the Way Forward. International Journal of Animal Biotechnology and Applications. 2026; 12(01):-. Available from: https://journals.stmjournals.com/ijaba/article=2026/view=236257


References

[1]      M. Lamanna, M. Bovo, and D. Cavallini, “Wearable Collar Technologies for Dairy Cows: A Systematized Review of the Current Applications and Future Innovations in Precision Livestock Farming,” Animals, vol. 15, no. 3, p. 458, 2025, doi: 10.3390/ani15030458.

[2]      E. Tadele, D. Worku, D. Yigzaw, T. Muluneh, and A. Melese, “Precision of dairy farming: navigating challenges and seizing opportunities for sustainable dairy production in Africa,” Front. Anim. Sci., vol. 6, p. 1541838, 2025, doi: 10.3389/fanim.2025.1541838.

[3]      P. Seth, B. Chandran, B. Mittra, and P. Pingali, “Understanding the Determinants of Farmers’ Adoption of Artificial Insemination in Livestock A Systematic Review,” 2025, researchgate.net. [Online]. Available: https://www.researchgate.net/profile/Payal-Seth/publication/389069912_Understanding_the_Determinants_of_Farmers’_Adoption_of_Artificial_Insemination_in_Livestock_A_Systematic_Review/links/67b40ad196e7fb48b9c5bd6c/Understanding-the-Determinants-of-Farmers-Adoption-of-Artificial-Insemination-in-Livestock-A-Systematic-Review.pdf

[4]      I. Lopez-Helguera, M. G. Colazo, and J. P. Kastelic, “Artificial Insemination in Cows,” Encycl. Livest. …, 2025, doi: 10.1007/978-3-031-52133-1_8-1.

[5]      C. Mazzocchi, L. Zanchi, L. Orsi, and …, “Should I stay or should I go? Tie stalls or loose housing to improve dairy cow welfare,” Ital. Rev. …, 2025, [Online]. Available: https://oajournals.fupress.net/index.php/rea/article/view/15296

[6]      M. W. Brunt, C. Ritter, D. L. Renaud, S. J. LeBlanc, and …, “Dairy producers’ awareness, perceptions, and barriers to early detection and treatment of lameness on dairy farms: A qualitative focus group study,” 2025, Elsevier. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0022030225002152

[7]      D. Hufana-Duran et al., “Future of reproductive biotechnologies in water buffalo in Southeast Asian countries,” Theriogenology, vol. 233, pp. 123–130, 2025, doi: 10.1016/j.theriogenology.2024.11.016.

[8]      Y. P. Singh, J. Jaiswal, and Y. Dwivedi, “In-vitro Fertilization: Revolutionizing Livestock Breeding Efficiency,” 2025, journalspub.com. [Online]. Available: https://journalspub.com/wp-content/uploads/2025/03/1-5-Article-In-vitro-Fertilization-Revolutionizing.pdf

[9]      A. S. NECULAI-VALEANU and …, “PRECISION LIVESTOCK FARMING AND ITS ROLE FOR ASSURING A SUSTAINABLE CATTLE MANAGEMENT-A STUDY CASE ON CONNECTED COW.,” … Agric. …, 2025, [Online]. Available: https://search.ebscohost.com/login.aspx?direct=true&profile=ehost&scope=site&authtype=crawler&jrnl=22847995&AN=184543058&h=RVOEcFvVOfLzl58A%2Fu%2BU6Q03WHDue%2Bt6A0s5MZ6ydSoppVqRiSgcWYxCZkeLBuPZa4kzJiGU01grF8HbIL2c6g%3D%3D&crl=c

[10]    A. Kumar and S. Dwivedi, “Reproductive Biotechnology in Livestock Improvement,” 2025, vigyanvarta.in. [Online]. Available: https://www.vigyanvarta.in/adminpanel/upload_doc/VV_0325_81.pdf

[11]    et al., “Barriers and strategies for scaling up livestock agroforestry systems in the amazon piedmont, Caquetá – Colombia,” 2025. doi: 10.17533/udea.rccp.v38n1a5.

[12]    V. E. Cabrera, “Artificial intelligence applied to dairy science: insights from the Dairy Brain Initiative,” Anim. Front., vol. 14, no. 6, pp. 60–63, 2024, doi: 10.1093/af/vfae040.

[13]    F. M. Tangorra, E. Buoio, A. Calcante, A. Bassi, and A. Costa, “Internet of Things (IoT): Sensors Application in Dairy Cattle Farming,” Animals, vol. 14, no. 21, p. 3071, 2024, doi: 10.3390/ani14213071.

[14]    P. Menchon, J. K. Manning, D. L. Swain, and A. Cosby, “Exploration of Extension Research to Promote Genetic Improvement in Cattle Production: Systematic Review,” 2024, mdpi.com. doi: 10.3390/ani14020231.

[15]    J. Kaewbang et al., “Smart sensors in Thai dairy reproduction: A case study,” 2024, pmc.ncbi.nlm.nih.gov. doi: 10.14202/vetworld.2024.1251-1258.

[16]    A. Ule, K. Erjavec, and M. Klopčič, “Farmers’ preferences for breeding goal traits and selection indexes for Slovenian dairy cattle,” 2024, Elsevier. doi: 10.3168/jds.2022-23202.

[17]    S. E. Elliott, L. M., Parcell, J. L., Patterson, D. J., Smith, M. F., & Poock, “Factors Influencing Beef Reproductive Technology Adoption.,” J. ASFMRA, pp. 100–119, 2013, [Online]. Available: http://www.jstor.org/stable/jasfmra.2013.100

[18]    J. L. Drewry, J. M. Shutske, D. Trechter, B. D. Luck, and L. Pitman, “Assessment of digital technology adoption and access barriers among crop, dairy and livestock producers in Wisconsin,” Comput. Electron. Agric., vol. 165, 2019, doi: 10.1016/j.compag.2019.104960.

[19]    D. C. Reyes et al., “Maine organic dairy producers’ receptiveness to seaweed supplementation and effect of Chondrus crispus on enteric methane emissions in lactating cows,” 2023, frontiersin.org. doi: 10.3389/fvets.2023.1153097.

[20]    B. Osman, A. Elkarim, E. M. Ali, K. Haj, and K. Elbadawi, “Adoption Rates of Some Improved Technological Practices of Dairy Cattle Milk Production among Smallholder Farmers in Nahir Atbara Locality-Kassala State-Sudan,” 2017, noveltyjournals.com. [Online]. Available: www.noveltyjournals.com

[21]    S. Mishra, M. Sonawane, P. Lohar, and S. Sonawane, “Role of Digital Technologies in Livestock Management,” 2022, acscollegeyawal.org. [Online]. Available: www.iosrjournals.org

[22]    T. Lijalem, “Breeding Technology Assessment at Small Holder Dairy Cattle Production Level in Selected Districts of HYDYA ZONE ,” 2015, core.ac.uk. [Online]. Available: https://core.ac.uk/download/pdf/234687196.pdf

[23]    E. Ooi, M. A. Stevenson, A. J. Murray, D. S. Beggs, P. D. Mansell, and M. F. Pyman, “The Use of Genetic Selection to Improve Herd Reproductive Performance of Dairy Cattle in Northern Victoria , Australia : Preliminary Results,” Interbull Bull., no. 53, pp. 34–41, 2018, [Online]. Available: https://journal.interbull.org/index.php/ib/article/view/1809

[24]    M. Odintsov Vaintrub, H. Levit, M. Chincarini, I. Fusaro, M. Giammarco, and G. Vignola, “Review: Precision livestock farming, automats and new technologies: possible applications in extensive dairy sheep farming,” 2021, Elsevier. doi: 10.1016/j.animal.2020.100143.

[25]    M. Aamir Shahzad, “The need for national livestock surveillance in Pakistan,” J. Dairy Res., vol. 89, no. 1, pp. 13–18, 2022, doi: 10.1017/S0022029922000012.

[26]    S. Eriksson, E. Jonas, L. Rydhmer, and H. Röcklinsberg, “Invited review: Breeding and ethical perspectives on genetically modified and genome edited cattle,” 2018, Elsevier. doi: 10.3168/jds.2017-12962.

[27]    A. Bell and N. Sangster, “Research, development and adoption for the north Australian beef cattle breeding industry: an analysis of needs and gaps,” 2022, CSIRO Publishing. doi: 10.1071/an22065.

[28]    M. Aamir Shahzad, “The need for national livestock surveillance in Pakistan,” J. Dairy Res., vol. 89, no. 1, pp. 13–18, 2022, doi: 10.1017/S0022029922000012.

[29]    E. Ooi et al., “Herd manager attitudes and intentions regarding the selection of high-fertility EBV sires in Australia,” 2021, Elsevier. doi: 10.3168/jds.2020-18552.

[30]    M. T. Niles, C. Horner, R. Chintala, and J. Tricarico, “A review of determinants for dairy farmer decision making on manure management strategies in high-income countries,” Environ. Res. Lett., vol. 14, no. 5, 2019, doi: 10.1088/1748-9326/ab1059.

[31]    E. G. Kebebe, S. J. Oosting, I. Baltenweck, and A. J. Duncan, “Characterisation of adopters and non-adopters of dairy technologies in Ethiopia and Kenya,” Trop. Anim. Health Prod., vol. 49, no. 4, pp. 681–690, 2017, doi: 10.1007/s11250-017-1241-8.

[32]    M. L. Madan, “Animal biotechnology: Applications and economic implications in developing countries,” 2005, kashvet.org. doi: 10.20506/rst.24.1.1555.

[33]    E. G. Kebebe, Understanding factors affecting technology adoption in smallholder livestock production systems in Ethiopia: the role of farm resources and the enabling environment. search.proquest.com, 2015. [Online]. Available: https://search.proquest.com/openview/89ce6af0d9318b53df9aa77742fd8a93/1?pq-origsite=gscholar&cbl=2026366&diss=y

[34]    H. M. Burrow, R. Mrode, A. O. Mwai, M. P. Coffey, and B. J. Hayes, “Challenges and Opportunities in Applying Genomic Selection to Ruminants Owned by Smallholder Farmers,” 2021, mdpi.com. doi: 10.3390/AGRICULTURE11111172.

[35]    J. F. Mee, “The role of the veterinarian in bovine fertility management on modern dairy farms,” Theriogenology, vol. 68, no. SUPPL. 1, 2007, doi: 10.1016/j.theriogenology.2007.04.030.

[36]    A. Woods, “The farm as clinic: veterinary expertise and the transformation of dairy farming, 1930-1950,” Stud. Hist. Philos. Sci. Part C Stud. Hist. Philos. Biol. Biomed. Sci., vol. 38, no. 2, pp. 462–487, 2007, doi: 10.1016/j.shpsc.2007.03.009.

[37]    C. L. Sumner, M. A. G. von Keyserlingk, and D. M. Weary, “Perspectives of farmers and veterinarians concerning dairy cattle welfare,” Anim. Front., vol. 8, no. 1, pp. 8–13, 2018, doi: 10.1093/af/vfx006.

[38]    C. L. Sumner and M. A. G. von Keyserlingk, “Canadian dairy cattle veterinarian perspectives on calf welfare,” 2018, Elsevier. doi: 10.3168/jds.2018-14859.

[39]    M. A. Magne and J. Quénon, “Dairy crossbreeding challenges the French dairy cattle sociotechnical regime,” 2021, Springer. doi: 10.1007/s13593-021-00683-2.

[40]    V. Nimbalkar, H. Kumar Verma, and J. Singh, “Dairy Farming Innovations for Productivity Enhancement,” 2022, intechopen.com. doi: 10.5772/intechopen.101373.

[41]    A. B. Hambisa, “Enhancing Bovine Reproduction: The Progress of Artificial Insemination in Ethiopia,” Reprod. Domest. Anim., vol. 60, no. 1, 2025, doi: 10.1111/rda.70003.

[42]    A. Ferrari et al., “Drivers, barriers and impacts of digitalisation in rural areas from the viewpoint of experts,” 2022, Elsevier. doi: 10.1016/j.infsof.2021.106816.

[43]    E. Kebebe, “Bridging technology adoption gaps in livestock sector in Ethiopia: A innovation system perspective,” 2019, Elsevier. doi: 10.1016/j.techsoc.2018.12.002.

[44]    D. M. Weary, B. A. Ventura, and M. A. G. Von Keyserlingk, “Societal views and animal welfare science: Understanding why the modified cage may fail and other stories,” Animal, vol. 10, no. 2, pp. 309–317, 2015, doi: 10.1017/S1751731115001160.

[45]    Gaard, “Reproductive Technology, or Reproductive Justice?: An Ecofeminist, Environmental Justice Perspective on the Rhetoric of Choice,” Ethics Environ., vol. 15, no. 2, p. 103, 2010, doi: 10.2979/ete.2010.15.2.103.

[46]    L. Rosa and P. Gabrielli, “Achieving net-zero emissions in agriculture: a review,” 2023, iopscience.iop.org. doi: 10.1088/1748-9326/acd5e8.

[47]    J. I. Weller, E. Ezra, and M. Ron, “Invited review: A perspective on the future of genomic selection in dairy cattle,” J. Dairy Sci., vol. 100, no. 11, pp. 8633–8644, 2017, doi: 10.3168/jds.2017-12879.

[48]    P. J. Hansen and C. F. Aréchiga, “Strategies for managing reproduction in the heat-stressed dairy cow.,” J. Anim. Sci., vol. 77 Suppl 2, pp. 36–50, 1999, doi: 10.2527/1997.77suppl_236x.

[49]    F. López-Gatius, “Factors of a noninfectious nature affecting fertility after artificial insemination in lactating dairy cows. A review,” Theriogenology, vol. 77, no. 6, pp. 1029–1041, 2012, doi: 10.1016/j.theriogenology.2011.10.014.

[50]    S. Neethirajan and B. Kemp, “Digital Livestock Farming,” Sens. Bio-Sensing Res., vol. 32, p. 100408, 2021, doi: 10.1016/j.sbsr.2021.100408.

[51]    M. C. Bianchi et al., “Diffusion of precision livestock farming technologies in dairy cattle farms,” 2022, Elsevier. doi: 10.1016/j.animal.2022.100650.

[52]    G. B. Martin, G. Fordyce, M. R. McGowan, and J. L. Juengel, “Perspectives for reproduction and production in grazing sheep and cattle in Australasia: The next 20 years,” Theriogenology, vol. 230, pp. 174–182, 2024, doi: 10.1016/j.theriogenology.2024.09.017.

[53]    M. D. Jelinski, D. F. Kelton, C. Luby, and C. Waldner, “Factors associated with the adoption of technologies by the Canadian dairy industry,” 2020, pmc.ncbi.nlm.nih.gov. [Online]. Available: https://pmc.ncbi.nlm.nih.gov/articles/PMC7488376/

[54]    P. Palma-Molina et al., “Factors associated with intensity of technology adoption and with the adoption of 4 clusters of precision livestock farming technologies in Irish pasture-based dairy systems,” 2023, Elsevier. doi: 10.3168/jds.2021-21503.

[55]    R. Piña, K. Lange, V. Machado, and C. Bratcher, Big data technology adoption in beef production, vol. 5. ttu-ir.tdl.org, 2023. doi: 10.1016/j.atech.2023.100235.

[56]    S. Neethirajan, “Artificial Intelligence and Sensor Technologies in Dairy Livestock Export: Charting a Digital Transformation,” 2023, mdpi.com. doi: 10.3390/s23167045.

[57]    J. M. Thinawanga, M. Voster, B. N. Nkhanedzeni, A. N. Khathutshelo, and L. N. Tshimangadzo, “Challenges with the implementation and adoption of assisted reproductive technologies under communal farming system,” 2018, academicjournals.org. doi: 10.5897/jvmah2018.0707.

[58]    P. F. Arthur, J. A. Archer, and R. M. Herd, “Feed intake and efficiency in beef cattle: Overview of recent Australian research and challenges for the future,” Aust. J. Exp. Agric., vol. 44, no. 4–5, pp. 361–369, 2004, doi: 10.1071/ea02162.

[59]    V. R. G. Mercadante et al., “2 Challenges in Breeding and Genetics,” J. Anim. Sci., vol. 101, no. Supplement_1, pp. 96–98, 2023, doi: 10.1093/jas/skad068.115.

[60]    D. Maleko, G. Msalya, A. Mwilawa, L. Pasape, and K. Mtei, “Smallholder dairy cattle feeding technologies and practices in Tanzania: failures, successes, challenges and prospects for sustainability,” Int. J. Agric. Sustain., vol. 16, no. 2, pp. 201–213, 2018, doi: 10.1080/14735903.2018.1440474.

[61]    B. Limenih, “Women farmers’ adoption challenges on artificial inseminations service in outskirt of Addis Ababa,” Int. J. Agric. Ext., vol. 6, no. 2, pp. 81–88, 2018, doi: 10.33687/ijae.006.02.2417.

[62]    B. J. Hayes, P. J. Bowman, A. J. Chamberlain, and M. E. Goddard, “Erratum: Invited review: Genomic selection in dairy cattle: Progress and challenges (Journal of Dairy Science 92 (433-443)),” 2009, Elsevier. doi: 10.3168/jds.2009-92-3-1313.

[63]    B. Limenih, Women farmers’ adoption challenges on artificial inseminations service in outskirt of Addis Ababa, vol. 6, no. 2. cabidigitallibrary.org, 2018. doi: 10.33687/ijae.006.02.2417.

[64]    M. Baldin et al., “Integrated decision support systems (Idss) for dairy farming: A discussion on how to improve their sustained adoption,” Animals, vol. 11, no. 7, p. 2025, 2021, doi: 10.3390/ani11072025.

[65]    P. A. Ogola, F. Ngesa, and D. L. Makanji, “Influence of access to extension services on milk productivity among smallholder dairy farmers in Njoro Sub-County, Nakuru County, Kenya,” Heliyon, vol. 9, no. 9, 2023, doi: 10.1016/j.heliyon.2023.e20210.

[66]    J. S. Stevenson, “Impact of reproductive technologies on dairy food production in the dairy industry,” Adv. Exp. Med. Biol., vol. 752, pp. 115–129, 2014, doi: 10.1007/978-1-4614-8887-3_6.

[67]    N. B. Nengovhela, T. J. Mugwabana, K. A. Nephawe, and T. L. Nedambale, “Accessibility to Reproductive Technologies by Low-Income Beef Farmers in South Africa,” 2021, frontiersin.org. doi: 10.3389/fvets.2021.611182.

[68]    P. J. Hansen, “Current and future assisted reproductive technologies for mammalian farm animals,” Adv. Exp. Med. Biol., vol. 752, pp. 1–22, 2014, doi: 10.1007/978-1-4614-8887-3_1.

[69]    M. Tizard et al., “Strategies to enable the adoption of animal biotechnology to sustainably improve global food safety and security,” Transgenic Res., vol. 25, no. 5, pp. 575–595, 2016, doi: 10.1007/s11248-016-9965-1.

[70]    S. Mahato and S. Neethirajan, “Integrating Artificial Intelligence in Dairy Farm Management-Biometric Facial Recognition for Cows,” 2024, Elsevier. [Online]. Available: www.preprints.org

[71]    M. Yousuf, A. Yusuf, and I. Mohammed, “Review on Current Animal Breeding and Genetic Technologies to Increase Production and Productivity of Cattle,” J. Anim. Sci. Res., vol. 12, no. 1, pp. 19–36, 2024, [Online]. Available: http://www.gjasr.com/index.php/GJASR/article/view/191

[72]    R. Green, P. Amer, and P. Fennessy, “The role of AI in genetic progress-new opportunities from new technologies and new approaches,” 2013.

[73]    R. R. White, M. Brady, J. L. Capper, J. P. McNamara, and K. A. Johnson, “Cow-calf reproductive, genetic, and nutritional management to improve the sustainability of whole beef production systems,” J. Anim. Sci., vol. 93, no. 6, pp. 3197–3211, 2015, doi: 10.2527/jas.2014-8800.

[74]    J. Daar, The new eugenics: Selective breeding in an era of reproductive technologies. books.google.com, 2017. [Online]. Available: https://books.google.com/books?hl=en&lr=&id=gtsCDgAAQBAJ&oi=fnd&pg=PP1&dq=adoption+barriers+reproductive+technologies+dairy+cows&ots=w-f2qEKwdu&sig=DjGi1MDdOac9f7TsUccmKMFuCfU

[75]    J. Harrison, K. Knowlton, B. James, M. D. Hanigan, C. Stallings, and E. Whitefield, “Case study: National survey of barriers related to precision phosphorus feeding,” 2012, Elsevier. doi: 10.15232/S1080-7446(15)30406-X.

[76]    D. Fleming et al., Synthesis report: Barriers to adoption of no-cost agricultural mitigation practices, no. May. motu.nz, 2019. [Online]. Available: https://www.motu.nz/assets/Documents/our-work/environment-and-agriculture/agricultural-economics/no-cost-barriers/No-Cost-Mitigation-Synthesis.pdf

[77]    E. Mutua, N. De Haan, D. Tumusiime, C. Jost, and B. Bett, “A qualitative study on gendered barriers to livestock vaccine uptake in kenya and uganda and their implications on rift valley fever control,” 2019, mdpi.com. doi: 10.3390/vaccines7030086.

[78]    I. Jumper, Identifying Barriers to Data Use on US Beef Cow-Calf Operations and Developing Solutions to Improve Cow-Calf Record-Keeping. search.proquest.com, 2023. [Online]. Available: https://search.proquest.com/openview/18ddca1dcbba35eb7ca0a17217a9b7d9/1?pq-origsite=gscholar&cbl=18750&diss=y

[79]    A. C. Barrier and M. J. Haskell, “Calving difficulty in dairy cows has a longer effect on saleable milk yield than on estimated milk production,” 2011, Elsevier. doi: 10.3168/jds.2010-3641.

[80]    S. T. Butler, A. D. Crowe, S. G. Moore, and P. Lonergan, “Review: Use of assisted reproduction in seasonal-calving dairy herds,” 2023, Elsevier. doi: 10.1016/j.animal.2023.100775.

[81]    T. Groher, K. Heitkämper, and C. Umstätter, “Digital technology adoption in livestock production with a special focus on ruminant farming,” Animal, vol. 14, no. 11, pp. 2404–2413, 2020, doi: 10.1017/S1751731120001391.

[82]    X. Chen and S. Huang, “Optimization of Reproductive Technologies in Water Buffalo: A Review of Current Practices,” 2024, animalscipublisher.com. [Online]. Available: https://animalscipublisher.com/index.php/ijmz/article/download/3867/2971

 

 

 

 


Ahead of Print Subscription Review Article
Volume 12
01
Received 02/06/2025
Accepted 24/01/2026
Published 24/01/2026
Publication Time 236 Days


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