International Journal of Molecular Evolution and Biodiversity, 2025, Vol.15, No.2, 84-98 http://ecoevopublisher.com/index.php/ijmeb 94 metabolism have been identified (Schiessl et al., 2020), there is a lack of a genetic framework that systematically integrates multiple signaling pathways. The disadvantages of long traditional breeding cycles and low efficiency have seriously restricted the selection and breeding of drought-resistant varieties. This urgently requires the combination of systems biology and intelligent algorithms to promote the transformation of the breeding paradigm from experience-oriented to mechanism-driven. 8.2 Integration of interdisciplinary strategies to enhance drought resistance Improvement of the root system provides a new breakthrough for drought-resistant breeding. As the main organ for water absorption, the root system architecture directly affects the adaptability of plants in drought environments (Wu et al., 2018). By integrating root phenotypic groups and genomic data, an accurate drought resistance prediction model can be established. This multi-omics joint combat strategy will significantly improve the scientificity and predictability of breeding selection, and provide a new technical path to break through the current bottleneck of drought-resistant breeding. Achieving breakthrough progress in drought-resistant breeding requires multidisciplinary collaborative innovation. The integration of cutting-edge technologies such as systems biology and artificial intelligence is driving the transformation of breeding models from experience-driven to data-driven. By constructing a multidimensional database covering genomes, phenotypic groups, and environmental groups, the genetic basis of drought resistance traits can be more comprehensively analyzed, providing theoretical support for precision breeding. This interdisciplinary collaboration model will effectively solve bottleneck problems such as the long cycle and low efficiency of traditional breeding. At the same time, the continuous advancement of molecular breeding tools has also provided higher resolution for the analysis of drought resistance mechanisms. For example, whole genome association analysis (GWAS) has been used to screen multiple SNP loci closely related to water loss rate (WLR). As an important physiological parameter for measuring crop drought resistance, the exploration of the genetic basis of WLR has expanded the understanding of the regulatory network of drought resistance traits (Shahzad et al., 2021). The identification of these candidate genes not only provides clear targets for subsequent functional research, but also lays a solid molecular foundation for precision breeding in combination with conventional breeding processes. Through this molecular-phenotypic synergistic system, it is expected to accelerate the breeding process of drought-resistant rapeseed varieties in practice. Furthermore, building a linkage mechanism between plant physiology, genomics and agronomic management is becoming an important direction to promote the improvement of crop drought resistance. In specific practice, optimizing water management strategies for different ecological regions and matching variety genotypes with environmental adaptability can significantly enhance the yield stability and drought resistance of rapeseed under variable climate conditions (Rahimi-Moghaddam et al., 2021). The introduction of systems biology provides theoretical support for the construction of multidimensional response mechanisms, and also provides a realistic path for creating a rapeseed production system with high adaptability and sustainable production potential in the future. 8.3 Impact of climate change on rapeseed drought resistance research Climate change is constantly reshaping agricultural ecosystems, posing unprecedented challenges to rapeseed drought resistance research. With the increasing frequency of extreme weather events, droughts are not only more sudden, but also increasingly intense. This high variability makes environmental control in traditional breeding processes more complicated, and many experimental conditions are difficult to simulate stress scenarios under future actual climates (Wu et al., 2018). Therefore, when evaluating drought-resistant varieties, single-environment testing can no longer meet the goal of adapting to future climate needs. What's more difficult is that drought often occurs together with other abiotic stresses such as high temperature and strong radiation, forming a multi-stress superposition effect. Studies have shown that the combined stress of drought and high temperature has a significant synergistic inhibitory effect on plant growth and yield performance,
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