Plant height(PH) is one of the most important agronomic traits of rice, as it directly affects the lodging resistance and the high yield potent ial. Meanwhile, PH is often constrained by water supply over the entire growth period. In this study, a recombinant inbred line(RIL) derived from Xiaobaijingzi and Kongyu 131 strains grown under drought stress and with normal irrigation over 2 yr(2013 and 2014), respectively(regarded as four environments), was used to dissect the genetic basis of PH by developmental dynamics QTL analysis combined with QTL×environment interactions. QTLs with net effects excluding the accumulated effects were detected to explore the relationship between gene×gene interactions and gene×environment interactions in specific growth period. A total of 26 addi tive QTLs(A-QTLs) and 37 epistatic QTLs(E-QTLs) associated with PH were detected by un conditional and conditional mapping over seven growth periods. q PH-2-3, q PH-4-3, q PH-6-1, q PH-7-1, and q PH-12-5 could be detected by both unconditional and conditional analyses. q PH-4-3 and q PH-7-5 were detected in four stages(periods) to be sequentially expressed QTLs controlling PH continuous variation. QTLs with additive effects(A-QTLs) were mostly expressed in the period S3|S2(the time interval from stages 2 to 3), and QTL×environment interactions performed actively in the first three stages(periods) which could be an important developmental period for rice to undergo external morphogenesis during drought stress. Several QTLs showed high adaptability for drought stress and many QTLs were closely related to the environments such as q PH-3-5, q PH-2-2 and q PH-6-1. 72.5% of the QTLs with a and aa effects detected by conditional analysis were under drought stress, and the PVE of QTLs detected by conditional analysis under drought stress were also much higher than that under normal irrigation. We infer that environments would influence the detection results an d sequential expressio n of genes was highly influenced by environments as well. Many QTLs(q PH-1-2, q PH-3-5, q PH-4-1, q PH-2-3) coincident with previously identified drought resistance genes. The result of this study is helpful to elucidating the gene tic mechanis m and regulatory network underlying the devel opment of PH in rice and providing references to marker assisted selection. Plant height (PH) is one of the most important agronomic traits of rice, as it directly affects the lodging resistance and the high yield potent ial. Meanwhile, PH is often constrained by water supply over the entire growth period. In this study, a recombinant inbred line (RIL) derived from Xiaobaijingzi and Kongyu 131 grown under drought stress and with normal irrigation over 2 yr (2013 and 2014), respectively (as as four environments), was used to dissect the genetic basis of PH by developmental dynamics QTL analysis combined with QTL × environment interactions. QTLs with net effects excluding the accumulated effects were detected to explore the relationship between gene × gene interactions and gene × environment interactions in specific growth period. A total of 26 addi tive QTLs (A-QTLs) and 37 epistatic QTLs (E-QTLs) associated with PH were detected by unconditional and conditional mapping over seven growth periods. q PH-2-3, q PH-4-3, q PH-6-1, q PH-7 -1, and q PH-12-5 could were detected by both unconditional and conditional analyzes. q PH-4-3 and q PH-7-5 were detected in four stages (periods) to be prior expressed QTLs controlling pH continuous variation. QTLs with additive effects (A-QTLs) were in the first three stages (periods) which could be an important developmental period for rice to undergo external morphogenesis during drought stress . Several QTLs showed high adaptability for drought stress and many QTLs were closely related to the environments such as q PH-3-5, q PH-2-2 and q PH-6-1. 72.5% of the QTLs with a and aa effects detected by conditional analysis were under drought stress, and the PVE of QTLs detected by conditional analysis under drought stress were also much higher than that under normal irrigation. We infer that the environment would influence the detection results an d sequential expressio n of genes was higMany QTLs (q PH-1-2, q PH-3-5, q PH-4-1, q PH-2-3) coincident with previously identified drought resistance genes. The result of this study is helpful to elucidating the gene tic mechanis m and regulatory network underlying the de op op of PH in rice and providing references to marker assisted selection.