Merging traditional practices and modern technology through computational plant breeding

Plant breeding has transitioned from its ancient agrarian roots to a modern, sophisticated discipline blending advanced genetic and computational techniques. Initially led by intuition and basic selection, the field was revolutionized in the 19th century by Gregor Mendel's principles. Today, plant breeding utilizes multiomics approaches and data science techniques to navigate vast amounts of data and deepen our understanding of the biological mechanisms behind specific traits. To tackle the challenges of big data, the discipline now incorporates computational biology, data science, and bioinformatics, which have become integral to routine plant breeding practices. As plant breeders have explored these promising fields, many have adopted titles such as "plant breeder and computational biologist" or "plant breeder and bioinformatician." However, these titles may lead to misconceptions about expertise, as breeders often apply a blend of these skills without specializing fully in each domain. Recognizing this, it is crucial to establish a clear identity for the evolving skill set of modern plant breeders. In this review, I explore the historical evolution of plant breeding, highlighting the transformative role of computational biology. Furthermore, I address the potential pitfalls of adding titles to plant breeding and propose the adoption of the term "computational plant breeding." This term more accurately reflects the integrated application of computational tools and biological insights in plant breeding. By redefining this emerging field, we can better appreciate its unique contributions and prepare for future advancements in agricultural science.