Abstract
The aim of this study was to assess the agronomic traits and genotype by yield × trait (GYT) interactions of sugar beet across seven ecological pilot areas in Northeast and North China using GYT biplot analysis. Utilizing correlation analysis and implementing the AMMI model, GGE biplot, and GYT biplot, the study analyzed the agronomic characteristics including plant height, leaf length, leaf width, leaf stalk diameter, SPAD value, root rot, brown spot, sugar content, and sugar yield of 16 sugar beet varieties in the 2023 regional experiment across seven planting ecological pilot areas. The pairwise correlation between yield and trait combinations was analyzed using the GYT biplot technique. Principal components PC1 and PC2 accounted for 80.19 and 12.31% of genotype-trait interactions. KWS7748 (G1) exhibited broader adaptability and superior yield compared to other varieties across different planting areas. Among the varieties tested in the regional sugar beet experiment, KWS7748 (G1) demonstrated the best comprehensive performance. Simultaneously, in the multi-character evaluation methods of sugar beet varieties, the results of GYT biplot analysis and evaluation proved to be more reliable than those of GGE and GT biplot, indicating its effectiveness as a scientific evaluation method for sugar beet varieties.