关键词: 灰色关联度, TOPSIS, 育种材料, 评价方法

Abstract: The traditional empirical method for crop breeding material evaluation is difficult to meet the requirements of large-scale, programmed and data based commercial breeding, and breeders need urgently a scientific, fast and efficient method to evaluate crop breeding material. This paper proposed a method for evaluating crop breeding material based on improved gray correlation degree and TOPSIS, which could quickly evaluate breeding material according to the comprehensive performance of its traits. The proposed method consisted of the following steps: First, a comprehensive evaluation index system of breeding material was constructed by gray correlation analysis of crop traits. Then, the weight of each trait index was obtained by combining the information entropy method and expert scoring method. Finally, the comprehensive score and ranking of each material was obtained based on the TOPSIS. The trait data of 2015 National Rice Variety Regional Test Huanghuai Japonica Rice Group A was chosen to verify the effectiveness of our proposed method. The results showed that the proposed method could effectively identify the excellent varieties with good comprehensive performance from all tested varieties and was superior to the entropy method. The proposed method had been integrated into large-scale commercial breeding software “Golden Seed Breeding Platform (GSBP)”, which had been successfully implemented in 2 seed leading enterprises of China.

Key words: gray correlation degree, technique for order preference by similarity to an ideal solution (TOPSIS), breeding material, evaluation method