As a vital production region for early-maturing summer maize in China, the Beijing-Tianjin-Hebei region holds immense significance in national agriculture production security. Conducting comprehensive multi-trait evaluation and selection of early-maturing summer maize varieties within this region is crucial for advancing the scientific utilization of summer maize germplasm resources, optimizing breeding strategies, and improving agricultural productivity. Building upon the established genotype by yield × trait (GYT) biplot model, this study makes a notable innovation by expanding the connotation of "yield" to encompass "major target traits", thereby proposing the novel genotype by major trait × multi-trait (GMT) biplot method to meet the demand for simultaneous evaluation of multiple traits in varieties under the background of diversified breeding major objectives. The research materials consisted of 72 early-maturing summer maize varieties that completed all trial procedures in the multi-location variety trials organized by the Jingke maize variety trial consortium in the early-maturing summer maize ecological zone of the Beijing-Tianjin-Hebei region from 2017 to 2024. Based on the combined level of major traits (including yield, protein content, fat content and lysine content) and grain yield, growth period, plant height, 100-kernel weight, grain yield rate, grain moisture content, test weight, starch content, protein content, fat content, lysine content, and disease resistance index, the varieties were comprehensively evaluated and ranked using a serial of GMT biplot. The results of the study are as follows: (1) The GYT biplot, which takes yield as the major target trait, successfully identified varieties with excellent performance in terms of the yield superiority index (YSI), including Jingnongke 458, Jingke 628, MC921, Xinyunong 812, Jingke 383, Jingke 938, Jingke 597, and Jingnongke 809. (2) The genotype by protein × trait (GPT) biplot, focusing on protein content as the major target trait, screened out Jingnongke 836 and MC921 as varieties with outstanding comprehensive performance across relevant traits. (3) When fat content is set as the major target trait, the genotype by fat × trait (GFT) biplot selected Jingnongke 458, Jingke 383, and MC616 as varieties with exceptional performance. (4) The genotype by lysine × trait (GLT) biplot, with lysine content as the major target trait, identified MC921, MC167, Jingnongke 836, and Jingnongke 801 as the top-performing varieties. (5) A highly significant correlation (r=0.718**) was found between the protein superiority index (PSI) and the lysine superiority index (LSI). When both protein and lysine contents are taken as joint target traits, "protein-lysine specialized" varieties such as MC921, Jingnongke 836, and Jingnongke 458 can be filtered out. Additionally, the yield superiority index (YSI) and the fat superiority index (FSI) also showed a highly significant correlation (r=0.474**). When yield and fat content are set as common target traits, "yield-fat specialized" varieties like Jingnongke 458 and Jingke 383 are identified. Through simultaneous screening based on the superiority indices of the four major traits, "all-round" core varieties such as Jingnongke 458 and MC921 were selected, demonstrating balanced excellence across all evaluated traits. The proposed GMT biplot method provides a new and effective tool for the synergistic evaluation of multi-target traits, and the varieties screened in this study offer valuable references for the efficient utilization of maize varieties and high-quality breeding practices in the Beijing-Tianjin-Hebei region.