What does predictive genomics in agriculture aim to achieve?

Predictive genomics in agriculture focuses on utilizing genomic data to forecast the performance of plants and to identify traits that can enhance their growth, resilience, or yield. By analyzing the genetic makeup of plants, researchers can predict how certain traits will express under specific environmental conditions, which allows for more informed decisions in plant breeding and crop management. This approach is fundamentally aimed at improving the efficiency and effectiveness of breeding programs by targeting specific desirable traits, such as drought tolerance, disease resistance, or increased nutritional value. The integration of genomic data into agricultural practices ultimately leads to the development of crops that are better suited to meet the challenges of changing climates and market demands.