The growth period traits are essential for the formation of soybean yield and seed-quality， as well as for the ecological adaptability of soybean varieties. Thus， the mining of genetic loci and candidate genes for growth period traits is important to dissect its genetic basis and molecular improvement in soybean. In view of this， 300 soybean accessions were used to analyze ten growth period traits under two environments. Furthermore， the genome-wide association study （GWAS） was conducted by combining with 5.38 millions of SNPs of these accessions. The results showed that there existed abundant genetic variations of these ten growth period traits （R1 to R8， RP and R/V） in the accessions， with the coefficients of variations （CV） ranged from 7.3% to 36.0%， and the largest CV appeared in R/V. Meanwhile， the results also showed that there existed significant or extremely significant correlations among these growth period traits， which implying the existences of pleiotropic genetic loci. Moreover， a total of 2070 stable and pleiotropic associated SNPs were detected with at least two traits or under at least two environments. These SNPs located on 18 chromosomes （except chromosome 5 and chromosome 12）， with the largest number of associated SNPs （62.8%） detected on chromosome 10， followed by chromosome 6 and chromosome 9. Furthermore， the pleiotropic genetic loci for the growth period traits were discovered， including Gm16： 27911126-Gm16： 29624572 on chromosome 16 （nine traits， R1 to R8 and R/V）， Gm10： 44591107-Gm10： 46521535 on chromosome 10 （seven traits， R3 to R8 and RP）， Gm09： 40595870-Gm09： 40691399 on chromosome 9 （six traits， R1， R2 and R4 to R7）， and Gm15： 4961358-Gm15： 6102837 on chromosome 15 （six traits， R1 to R6）， etc. Additionally， the candidate genes were screened out in the associated loci， including the known functional gene E2 and the newly discovered candidate gene Glyma.10G218100. The results provide novel genetic loci and candidate gene resources for growth period traits improvements in soybean breeding.