Drought resistance evaluation of sugar beet germplasms by response of phenotypic indicators

Sugar beet is a main sugar crop worldwide that often faces drought stress. The identification of drought tolerance of sugar beet germplasms is beneficial for breeding, but the research about it has been rarely reported. In this study, the drought tolerance of germplasms 92005-1, 94002-2 and 92021-1-1 was tested under simulated conditions. Seven days and 9% PEG treatment were the optimal conditions for evaluation, under which more phenotypic indicators showed significant difference in drought tolerance coefficient. The objective weighting and membership function method were established for evaluating the drought tolerance of different sugar beet germplasms. Drought stress decreased the biomass of leaves and roots of sugar beet germplasms. The drought-sensitive germplasm responded faster for leaf weight, root weight, plant height and root length. These indicators declined more significantly under long-term and severe stress. Increasing the root-shoot ratio and proline content were universal strategies of sugar beet germplasms to overcome drought stress. The drought-tolerant germplasms held higher peroxidase activity and better ability to scavenge reactive oxygen for preventing the damage.

Genome-wide association study of drought tolerance traits in sugar beet germplasms at the seedling stage

Introduction: Sugar beets are an important crop for global sugar production. Intense drought and the increasing lack of water resources pose a great threat to sugar beet cultivation. It is a priority to investigate favourable germplasms and functional genes to improve the breeding of drought tolerant plants. Methods: Thus, in this study, 328 sugar beet germplasms were used in a genome-wide association study (GWAS) to identify single nucleotide polymorphism (SNP) markers and candidate genes associated with drought tolerance. Results: The results showed that under drought stress (9% PEG-6000), there were 11 significantly associated loci on chromosomes 2, 3, 5, 7, and 9 from the 108946 SNPs filtered using a mixed linear model (MLM). Genome-wide association analysis combined with qRT-PCR identified 13 genes that were significantly differentially expressed in drought-tolerant extreme materials. Discussion: These candidate genes mainly exhibited functions such as regulating sugar metabolism, maintaining internal environmental stability and participating in photosystem repair. This study provides valuable information for exploring the molecular mechanisms of drought tolerance and improvement in sugar beet.