Articles

Plant breeding and Genetics contribute significantly to ensuring global food requirements; but the current climate change issues, increased population, and resources scarcity, demand classical breeding to be faster, more accurate and predictive. Predictive breeding is an emerging approach that combines genomics, phenotypic and environmental data along with statistical and computational modeling to predict the plant performance prior to field testing. Apart from its challenges, data availability, model transferability, limited infrastructure. This review highlights the basic concepts, significant tools, and applications of prediction breeding in crop improvement.