Development of an automated phenotyping platform and identification of a novel QTL for drought tolerance in soybean.

ABSTRACT: Deep understanding of slow-wilting is essential for developing drought-tolerant crops. Existing approaches to measure transpiration rates are difficult to apply to large populations due to their high cost and low throughput. To overcome these challenges, we developed a high-throughput phenotyping system that integrates a load cell sensor and an Arduino-based microcontroller device. The system tracked the transpiration rate in real time by measuring changes in the pot weight in 224 recombinant inbred lines of Taekwangkong (fast-wilting) x SS2-2 (slow-wilting) under water-restricted conditions. Among five transpiration features we determined, stress recognition time point (SRTP) and decrease in transpiration rate by stress (DTrs) are informative parameters, that are interconnected and indepe

SUBMITTER: Kwon H 

PROVIDER: S-EPMC12709953 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature