# Drought tolerance in soybean: genetics, metabolomics, remote sensing, and breeding for enhanced drought tolerance

## TL;DR

This paper reviews how soybean can be made more drought-tolerant through breeding and new technologies like remote sensing and metabolomics.

## Contribution

The paper provides a comprehensive review of recent advances in methodologies for improving soybean drought tolerance.

## Key findings

- Drought tolerance in soybean is influenced by multiple genetic and environmental factors.
- Traditional phenotyping methods for drought tolerance are subjective and time-consuming.
- Remote sensing and omics technologies offer new ways to identify and evaluate drought-tolerant soybean genotypes.

## Abstract

Drought is the most damaging abiotic stress affecting soybean production, with variable rainfall contributing significantly to year-to-year yield variability. Breeding efforts aim to develop cultivars with stable and competitive yields under both drought and non-drought stressed conditions. However, drought tolerance in soybean is a highly complex trait, influenced by diverse physiological, morphological, genetic factors and environments. Identifying genotypes with improved drought tolerance is challenging because traditional phenotyping methods for drought tolerance are subjective and time-consuming. Furthermore, quantitative trait loci (QTLs) associated with drought tolerance typically exhibit small effects and limited consistency across environments and populations. These challenges highlight the need for improved methodologies to identify and evaluate promising sources of genetic variation. This review summarizes the current state of drought tolerance breeding in soybean and discusses recent advances in remote sensing, transcriptomics, proteomics, and metabolomics aimed at enhancing drought tolerance research and cultivar development in soybean.