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EDITORIAL article

Front. Vet. Sci., 10 February 2026

Sec. Animal Reproduction - Theriogenology

Volume 13 - 2026 | https://doi.org/10.3389/fvets.2026.1790388

This article is part of the Research TopicAdvancing Animal Reproduction: Artificial Intelligence, Precision Technologies and Reproductive BiotechnologiesView all 8 articles

Editorial: Advancing animal reproduction: Artificial Intelligence, precision technologies and reproductive biotechnologies

  • 1Sydney School of Veterinary Science, Faculty of Science, The University of Sydney, Camden, NSW, Australia
  • 2Nanoencapsulation and Biotechnology Lab, Animal and Fish Production Department, Faculty of Agriculture (El-Shatby), Alexandria University, Alexandria, Egypt
  • 3Council of Scientific and Industrial Research-National Environmental Engineering Research Institute (CSIR-NEERI), Nagpur, India
  • 4Office of the Undersecretary for Science and Research, Smithsonian's National Zoo and Conservation Biology Institute, Washington, DC, United States

1 Introduction

Reproductive biotechnologies have revolutionized animal breeding programs over the last 50 years, continuing to be the driving force behind improvements in reproductive performance. The use of nanotechnology, precision technologies and artificial intelligence (AI) are still in their infancy in animal reproduction, but their application to breeding programs are steadily increasing as the world finds new ways to promote sustainability, enhance conservation, and ensure food security for decades to come, particularly under climate change challenges.

This Research Topic presents recent research conducted across the various types of technologies available in animal reproduction, including established and emerging livestock industries as well as conservation breeding programs. Seven papers included in this Research Topic explore the use of various technologies, from reproductive biotechnologies through precision technologies and AI, showcasing the diversity of research across species.

2 Reproductive biotechnologies

The bulk of research programs, particularly for new and emerging activities, heavily focus on improvements to reproductive biotechnologies, adapting methods already in use in established industries. However, there is now a shift toward the use of multiple types of advanced approaches on improvements of animal reproduction.

Esteve et al. examined the impact of seminal plasma in sperm quality following freeze-thawing in Murciano-Granadina goats, in response to the growing need to maintain endangered breeds while maximizing transport distances and time. The study showed seminal plasma is detrimental to sperm quality at the refrigeration step, while a significant reduction in the survival of sperm cryopreserved in the presence of seminal plasma compared with sperm cryopreserved without seminal plasma was also evident.

On the other hand, Rios et al. examined the impact of oocyte in-vitro maturation media and vitrification parameters on the quality of bovine oocytes following vitrification. Oocytes matured in serum-free media exhibited higher post-thaw survival through maintenance of membrane integrity irrespective of the vitrification device used, while oocytes matured in synthetic media and vitrified with a surface device exhibited higher post-thaw survival, highlighting the potential combination of technologies on reproductive outcomes.

3 Nanotechnology

Nanotechnology offers novel but versatile functions in animal reproduction, from finding new ways to deliver therapies and control reproductive function through its use in the development of biosensors. Shehabeldin et al. investigated the use of chitosan nanoparticles as a nano-drug delivery method for pregnant mare serum gonadotrophin (PMSG) during estrus synchronization protocols in Ossimi sheep. Pregnancy, lambing and overall fecundity rates were greater when hormones were delivered through nanoparticles, resulting in more efficient uptake through cell pores, membranes and greater binding affinity to follicle-stimulating hormone receptors. This technology is adaptable to other livestock oestrus synchronization protocols and previously demonstrated in goats (1).

4 “Omics” technologies

Genomic technologies are a key attribute of species management, particularly in conservation breeding populations exhibiting a greater risk of inbreeding and reduced population fitness. Genomic technologies aim to prevent the extinction of a species by maintaining genetic diversity within the population for future breeding populations. Chen et al. used next generation sequencing to determine kinship structure and relatedness in a captive lion population in China. The work showed genetic markers were effective at identifying distinct genetic subgroups within the captive population, proposing a suitable breeding plan to further reduce the risk of inbreeding and promote evolutionary potential. The findings of this work can be applied across other breeding programs to enhance conservation outcomes.

5 Systems biology and data driven techniques

A systems biology approach may help to integrate information generated through “omics” technologies with data driven analysis and predictions. Amelkina and Comizzoli propose a systems biology approach to transcriptomic analysis in domestic and wildlife species, highlighting publicly available data repositories relevant to advancing reproductive science and conservation programs. Difficulties with availability of public data with particular reference to a lack of expression atlases and digital biobanks for model species were identified, concluding that a greater number of reproductive expression databases and species-specific biobanks are required to strengthen evolutionary and conservation breeding programs globally.

6 Precision technologies and artificial intelligence

Precision technologies and artificial intelligence are often combined and widely implemented in horticulture and crop industries worldwide, only recently being explored in the animal reproduction industries. Precision technologies such as biosensors for monitoring reproductive physiology are steadily increasing while artificial intelligence for monitoring behavioral indicators of reproduction are more likely to be adopted earlier due to their wider and less invasive application.

Mansour et al. explored the use of AI-based video tools to monitor behavioral patterns of dromedary camels in real time during pregnancy, through parturition and beyond. Video based tools captured alterations in daily activity patterns in periparturient camels compared with pregnant camels, exhibited by identification of reduced eating, drinking, sitting and sleeping patterns, which gradually returned to normal postpartum. The technology allowed continuous monitoring of individually identified animals with the potential to scale the technology to larger herd sizes and greater complexity housing layouts.

Compared with standalone AI technologies, precision technologies and AI can also be applied to pre-existing reproductive biotechnologies. Kang et al. reviewed the current technologies associated with laparoscopic artificial insemination in sheep, including precision estrus detection, genomic selection, robotic-assisted surgery, semen optimization and wearable biosensors to measure physiological parameters and improve reproductive management. While the benefits of precision technologies and artificial technologies are numerous and well-documented, the cost of the technology and a lack of data standardization methods remain barriers in its adoption in the industry.

7 Final remarks

This Research Topic highlights current research in the animal reproduction industries, from the development of reproductive biotechnologies applicable to improving reproductive performance of a single species through to the application of newly emerging precision technologies, data driven methods and AI capable of being implemented across entire areas of activity. While the shift from reproductive biotechnologies is becoming increasingly evident, advancements in reproductive biotechnologies are still considered critical in all species. This Research Topic emphasizes this shift, with the expectation that future research will combine multiple technologies to further enhance reproductive performance necessary to promote sustainability, enhance conservation, and ensure food security.

Author contributions

C-LP: Conceptualization, Writing – review & editing, Writing – original draft, Project administration. NH: Writing – review & editing. SS: Writing – review & editing. PC: Supervision, Writing – review & editing, Conceptualization.

Acknowledgments

The authors would like to thank Frontiers in Veterinary Science: Animal Reproduction – Theriogenology for the opportunity to contribute to a Research Topic.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author PC declared that they were an editorial board member of Frontiers at the time of submission. This had no impact on the peer review process and the final decision.

Generative AI statement

The author(s) declared that generative AI was not used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Hashem NM, EL-Sherbiny HR, Fathi M, Abdelnaby EA. Nanodelivery system for ovsynch protocol improves ovarian response, ovarian blood flow doppler velocities, and hormonal profile of goats. Animals. (2022) 12:1442. doi: 10.3390/ani12111442

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: artificial intelligence, conservation, machine learning, precision technologies, reproduction, reproductive biotechnology

Citation: Pollard C-L, Hashem NM, Sontakke SD and Comizzoli P (2026) Editorial: Advancing animal reproduction: Artificial Intelligence, precision technologies and reproductive biotechnologies. Front. Vet. Sci. 13:1790388. doi: 10.3389/fvets.2026.1790388

Received: 18 January 2026; Accepted: 22 January 2026;
Published: 10 February 2026.

Edited and reviewed by: Regiane R. Santos, Schothorst Feed Research, Netherlands

Copyright © 2026 Pollard, Hashem, Sontakke and Comizzoli. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Charley-Lea Pollard, Y2hhcmxleS5wb2xsYXJkQHN5ZG5leS5lZHUuYXU=

Present Address: Charley-Lea Pollard, Department of Agriculture, Fisheries and Forestry, Canberra, ACT, Australia

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.