Genetic and Genomic Resources for Soybean Breeding Research

Jakob Petereit, Jacob I. Marsh, Philipp E. Bayer, Monica F. Danilevicz, William J.W. Thomas, Jacqueline Batley, David Edwards

Research output: Contribution to journalReview articlepeer-review

4 Citations (Scopus)

Abstract

Soybean (Glycine max) is a legume species of significant economic and nutritional value. The yield of soybean continues to increase with the breeding of improved varieties, and this is likely to continue with the application of advanced genetic and genomic approaches for breeding. Genome technologies continue to advance rapidly, with an increasing number of high-quality genome assemblies becoming available. With accumulating data from marker arrays and whole-genome resequencing, studying variations between individuals and populations is becoming increasingly accessible. Furthermore, the recent development of soybean pangenomes has highlighted the significant structural variation between individuals, together with knowledge of what has been selected for or lost during domestication and breeding, information that can be applied for the breeding of improved cultivars. Because of this, resources such as genome assemblies, SNP datasets, pangenomes and associated databases are becoming increasingly important for research underlying soybean crop improvement.

Original languageEnglish
Article number1181
JournalPlants
Volume11
Issue number9
DOIs
Publication statusPublished - 1 May 2022

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