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The Modern Plant Breeding Triangle
The text explores the integration of new technologies into traditional plant breeding techniques, emphasizing its significance for advancing food systems. Over the past two decades, numerous advancements have emerged, awaiting incorporation into established breeding programs to enhance efficiency and accuracy. The discussion covers genomic selection, which helps predict breeding values by improving cycle time, selection accuracy, and value precision, as demonstrated in crops like maize and wheat. Moreover, there's a focus on high-throughput phenotype techniques that optimize data processing costs while boosting forecast accuracy. These advancements pave the way for constructing statistical models like Bayesian linear mixed models for effective prediction of genetic values. The text also highlights the synergy of linking genomics and phenomics through advanced statistical approaches, promising improved prediction models. The integration of innovative technologies aims to transition toward a data-driven approach, enhancing the accuracy and efficiency of breeding pipelines through adapted genotypes.
