anpcworld.com

13. JEEP INTERNATIONAL SCIENTIFIC AGRIBUSINESS CONFERENCE - MAK 2026

UTILIZING FROM MODERN TOOLS IN PLANT BREEDING

Yalcin Kaya

Abstracts

Recent advances in biotechnology and genetic engineering have revolutionized plant breeding through tools like genomic selection, CRISPR/Cas9, high-throughput phenotyping, and molecular markers. These technologies boost precision, efficiency, and resilience in crop development, creating superior varieties with higher seed yield and quality, plus better adaptation to biotic and abiotic stresses. Genome editing tools, in particular, speed up and sharpen breeding processes, while artificial intelligence and bioinformatics handling massive datasets to guide smarter decisions-promise to drive plant breeding forward, especially against devastating abiotic challenges.

Keywords

Sunflowers, Cut flowers, Wild species

References

  1. 1. Araus, J.L., Cairns, J.E. (2014). Field high-throughput phenotyping: The new crop breeding frontier. Current Opinion in Biotechnology, 26, 11-19.
  2. 2. Asghar, J., Jan, A., Hamayun, M., Ali, K., Rehman, A.U., Ahmed, M., Ullah, I., Basit, A., Saddam, S. (2025). Intelligent reprogramming of crops for resistance against emerging plant pathogens: From conventional breeding to genome editing. Integrative Plant Biotechnology, 03, 253-268.
  3. 3. Bortesi, L., Fischer, R. (2015). The CRISPR/Cas9 system for plant genome editing and its applications in crop improvement. Biotechnology Advances, 33(6), 591-602.
  4. 4. Ćeran, M., Miladinović, D., Đorđević, V., Trkulja, D., Radanović, A., Glogovac, S., Kondić-Špika, A. (2024). Genomics-assisted speed breeding for crop improvement: present and future. Front. Sustain.
  5. 5. Food Syst. 8:1383302. doi: 10.3389/fsufs.2024.1383302 Chen, J.-T. (Ed.). (2024). Plant Speed Breeding and High-throughput Technologies (1st Ed.).
  6. 6. CRC Press. doi: 10.1201/b23372 Collard, B.C.Y., Mackill, D.J. (2008). Marker-assisted selection: An approach for precision plant breeding in the twenty-first century. Philosophical Transactions of the Royal Society B: Biological Sciences, 363(1491), 557-572.
  7. 7. Crossa, J., Pérez-Rodríguez, P., Cuevas, J., Montesinos-López, O., Jarquín, D., de los Campos, G. et al. (2017). Genomic selection in plant breeding: Methods, models, and perspectives. Trends in Plant Science, 22(11), 961-975. www.cell.com/trends/plant-science/fulltext/S1360- 1385(17)30174-2 Doudna, J.A., Charpentier, E. (2014). The new frontier of genome engineering with CRISPR-Cas9. Science, 346(6213), 1258096.
  8. 8. Gaj, T., Gersbach, C.A., Barbas III, C.F. (2013). ZFN, TALEN, and CRISPR/Cas-based methods for genome engineering. Trends in Biotechnology, 31(7), 397-405. www.cell.com/trends/biotechnology/fulltext/S0167-7799(13)00087-5 Jaganathan, D., Bohra, A., Schmidt, R., Varshney, R.K. (2020). Speed breeding: A game-changing approach for crop improvement. Theoretical and Applied Genetics, 133(6), 1729-1741.
  9. 9. Jocić, S., Miladinović, D., Kaya, Y. (2015). Breeding and genetics of sunflower.
  10. 10. In Sunflower (pp. 1-25).
  11. 11. AOCS Press. doi: 10.1016/B978-1-63067-036-8.50001-2 Kaya, Y., (2014). Sunflower. A. Pratap. (Ed.) Alien Gene Transfer in Crop Plants, Springer Press, 2, 281-315.
  12. 12. Kaya, Y., Beşer, N. (2020a). Modern Techniques in Crop Improvement: Conventional and Biotechnological Approach. In: Recent Advances in Plant Science. Editors: F.
  13. 13. Vardar, Y.
  14. 14. Aydın, A.
  15. 15. Altinkut Uncuoglu. Nova Science Publishers, Inc., 137-162.
  16. 16. Kaya, Y., Beşer, N. (2020b). Modern Techniques in Crop Improvement: Molecular and Genomic Approach. In: Recent Advances in Plant Science. Editors: F.
  17. 17. Vardar, Y.
  18. 18. Aydın, A.
  19. 19. Altinkut Uncuoglu. Nova Science Publishers, Inc., 163-196.
  20. 20. Kaya, Y., Vasilevska-Ivanova, R. (2021). Wild Sunflowers: The Primary Genetic Resource for Sunflower Breeding. In: Wild Germplasm for Genetic Improvement in Crop Plants. Editors: M. T.
  21. 21. Azhar, S. H. Wani. Elsevier Academic Press Publishers, Inc., 153-186.
  22. 22. Ma, X., Ma, C., Li, C., Zhang, Y. (2020). Multi-omics data integration for crop improvement. Frontiers in Plant Science, 11, 577.
  23. 23. Meuwissen, T.H.E., Hayes, B.J., Goddard, M.E. (2001). Prediction of total genetic value using genome-wide dense marker maps. Genetics, 157(4), 1819-1829.
  24. 24. Naqvi, R.Z., Siddiqui, H.A., Mahmood, M.A., Najeebullah, S., Ehsan, A., Azhar, M. et al. (2022). Smart breeding approaches in post-genomics era for developing climate-resilient food crops. Front. Plant Sci., 13, 972164. doi: 10.3389/fpls.2022.972164 Naqvi, R.Z., Mansoor, S., Amin, I. (2025). Editorial: Omics approaches to improve crops yields. Front. Sustain. Food Syst., 8, 1541973. doi: 10.3389/fsufs.2024.1541973
  25. 25. Singh, A., Singh, P.K. (2020). Artificial intelligence in plant breeding: Current status and future prospects. Journal of Plant Breeding and Crop Science, 12(2), 105-112. Van Eeuwijk, F.A., Bustos-Korts, D.V., Malosetti, M. (2019). What should students in plant breeding know about the statistical aspects of genomic selection? Theoretical and Applied Genetics, 132(3), 771-781.
  26. 26. Varshney, R.K., Mahendar, T., Singh, V.K. (2021). Marker-assisted selection for crop improvement. In Plant breeding, Springer, 195-214.
  27. 27. Wang, Y., Cheng, X., Shan, Q., Zhang, Y., Liu, J., Gao, C., Qiu, J.L. (2016). Simultaneous editing of three homoeoalleles in hexaploid bread wheat confers heritable resistance to powdery mildew. Nature Biotechnology, 34(5), 532-537.
  28. 28. Watson, A., Ghosh, S., Williams, M.J., Cuddy, W.S., Simmonds, J., Rey, M.D. et al. (2018). Speed breeding is a powerful tool to accelerate crop research and breeding. Nature Plants, 4(1), 23-29.
  29. 29. Yang, G., Song, X., Li, Z., Zhang, Q., Xu, X. (2020). Remote sensing for crop phenotyping using UAVs: A review. Remote Sensing, 12(14), 2296.