Nitrogen content in maize grains is closely related to maize quality， and the analysis of its genetic mechanism is great significance for maize quality breeding. In this study， we used 252 maize inbred lines as an association population， and used bayesian-information and linkage-disequilibrium iteratively nested keyway （BLINK）， fixed and random model circulating probability unification （FarmCPU）， general linear model （GLM）， mixed linear model （MLM）， multiple loci mixed model （MLMM）， and settlement of MLMs under progressively exclusive relationship （SUPER） to conduct genome-wide association analysis for grain nitrogen content. A total of thirteen SNPS （P<3.64E-07） were identified. Six， three， seven， four， two and four SNPs were detected by BLINK， FarmCPU， GLM， MLM， MLMM and SUPER methods， respectively. S3_ 8879213 can be detected in five methods， S9_146173702 can be detected in four methods， S5_114774030 and S7_ 182217338 can be detected in three methods， S1_10906326， and S1_177528813 can be detected in two methods. A total of twenty-five candidate genes were identified， among which Zm00001eb275080 and Zm00001eb330700 may be the important candidate genes affecting maize grain nitrogen content.