Cotton Genomics and Genetics 2025, Vol.16, No.6, 300-309 http://cropscipublisher.com/index.php/cgg 307 7.3 Precision breeding pipelines In the future, cotton breeding is likely to no longer be a "superposition of individual technologies", but rather a precise system with interlocking links. High-throughput typing, multi-omics analysis, genomic prediction and editing will operate in coordination within the same process. For instance, predictive models established using transcriptome data and gene regulatory networks have demonstrated advantages in enhancing the accuracy and speed of screening superior strains. Meanwhile, GWAS based on functional haplotypes combined with pan-genome resources makes the localization of candidate genes and haplotypes more direct (Li et al., 2021). When these technologies are fully integrated, the breeding process will no longer rely on lengthy field validation but will be able to rapidly customize new cotton varieties with complex traits at the molecular level (Cheng and Zhang, 2025). In the long run, this systematic and precise breeding is not only aimed at achieving high yields or high quality, but also at ensuring that cotton remains stable and sustainable under climate change and resource pressure. 8 Concluding Remarks The development of cotton breeding has been advancing rapidly in recent years. When it comes to the key driving forces, haplotype analysis and genome editing technologies, especially the CRISPR/Cas system, have made significant contributions. The old problems that restricted traditional breeding in the past, such as overly long cycles and overly complex trait inheritance, are now being gradually resolved. By targeting and modifying core genes that control fiber quality, yield, stress resistance, etc., researchers have finally been able to manipulate the traits of cotton more directly. Meanwhile, new gene editing platforms, optimized transformation methods, and increasingly mature high-throughput omics technologies are also constantly expanding the boundaries and efficiency of improvement. However, the real breakthrough does not lie in the individual technologies themselves, but in their integration. Only when genomic data, haplotype information and editing tools can be smoothly connected can the advantages of precision breeding be fully unleashed. Such a system enables breeders to more quickly identify beneficial alleles, verify their functions, and superimpose multiple superior traits onto a single variety. In other words, the path from identification to improvement and then to verification is being greatly shortened. This strategy is not merely about enhancing efficiency; it also gives breeding a stronger sense of direction. It has become feasible to develop "tailor-made" cotton varieties for different environments and market demands. Of course, the road ahead remains bumpy. Technical barriers still exist, regulatory policies are not uniform, and the public's attitude towards emerging breeding methods remains divided. For these precise tools to truly take root, the joint efforts of scientific research, policies and society are still needed. Despite this, the trend is already quite obvious. Cotton breeding is shifting from experience-driven to data-driven, and from traditional selection to precise design. In the future, cotton varieties that are adaptable, of high quality and more sustainable may no longer be just a concept in laboratories, but a reality in the fields around the world. Acknowledgments I would like to thank the anonymous peer review for their critical comments and revising suggestion. Conflict of Interest Disclosure The author affirms that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. References Bhat J., Yu D., Bohra A., Ganie S., and Varshney R., 2021, Features and applications of haplotypes in crop breeding, Communications Biology, 4(1): 1266. https://doi.org/10.1038/s42003-021-02782-y Cheng J.H., and Zhang J., 2025, High-yield cotton cultivation practices in arid regions, Molecular Soil Biology, 16(1): 27-36. https://doi.org/10.5376/msb.2025.16.0003 Chu Q., Fu X., Zhao J., Li Y., Liu L., Zhang L., Zhang Y., Guo Y., Pei Y., and Zhang M., 2024, Simultaneous improvement of fiber yield and quality in upland cotton (Gossypium hirsutumL.) by integration of auxin transport and synthesis, Molecular Breeding, 44(10): 64. https://doi.org/10.1007/s11032-024-01500-w
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