Modern plant breeding tools to obtain new cultivars

Abstract

The modernization of plant breeding stems from the strategic convergence of biotechnology and big data analytics to address the climate crisis with more resilient, sustainable, and high-quality cultivars that meet consumer demand. Using high-density molecular markers, plant breeders identify specific genes and select superior genotypes without waiting for the trait to express physically, drastically reducing breeding cycles. This precision is enhanced by high-throughput phenotyping, where drones and sensors capture environmental variables that are integrated into predictive genomics models. Algorithms simultaneously analyze genealogical and structural information to estimate the genetic value of individuals, enabling the prioritization of crosses with the greatest potential for success across diverse ecosystems. Meanwhile, bioinformatics acts as the engine that processes these massive volumes of data to locate candidate genes, while gene editing makes precise modifications that introduce resilience traits with surgical accuracy. Finally, the resulting germplasm undergoes rigorous molecular validations and local adaptation tests, ensuring that the new cultivars are not only productive but also sustainable and capable of ensuring global food sovereignty. This review builds upon the historical context of plant domestication and evolution, while integrating contemporary advancements in agrobiotechnology, thereby bridging different strands of research to present a cohesive narrative on the future of plant breeding.