Plants, Год журнала: 2024, Номер 13(19), С. 2714 - 2714

Опубликована: Сен. 28, 2024

Soybean improvement has entered a new era with the advent of multi-omics strategies and bioinformatics innovations, enabling more precise efficient breeding practices. This comprehensive review examines application approaches in soybean-encompassing genomics, transcriptomics, proteomics, metabolomics, epigenomics, phenomics. We first explore pre-breeding genomic selection as tools that have laid groundwork for advanced trait improvement. Subsequently, we dig into specific contributions each -omics field, highlighting how resources facilitated generation integration multifaceted data. The emphasizes power integrating datasets to elucidate complex traits drive development superior soybean cultivars. Emerging trends, including novel computational techniques high-throughput technologies, are discussed context their potential revolutionize breeding. Finally, address challenges associated propose future directions overcome these hurdles, aiming accelerate pace serves crucial resource researchers breeders seeking leverage enhanced productivity resilience.

Язык: Английский