摘要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 independently affect slow-wilting as well.Quantitative trait loci(QTL)for SRTP and DTrs were identified at the same location as the major QTL for slow wilting,qSW_Gm10,identified in the previous study.Notably,we found a novel major QTL for DTrs,qDTrs_Gm04,with a LOD value of 42 and PVE of 47％.As a candidate gene for qDTrs_Gm04,GmWRKY58 was selected with differential expression between the parental lines under drought conditions as well as upstream sequence variation.Our high-throughput system is of help not only to biological research but breeding programs of drought-tolerant lines.