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Chinese Agricultural Science Bulletin ›› 2023, Vol. 39 ›› Issue (8): 7-14.doi: 10.11924/j.issn.1000-6850.casb2022-0173

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GGE-biplot Based on R Language: Application in Regional Trial of Sugar Beet Varieties

JIANG Wanyue1(), HU Xiaohang1,2(), MA Yahuai1,2, LI Yanli1,2   

  1. 1 Academy of Modern Agriculture and Ecology Environment, Heilongjiang University, Harbin 150080
    2 National Sugar Improvement Center, Harbin 150080
  • Received:2022-03-15 Revised:2022-07-15 Online:2023-03-15 Published:2023-03-14

Abstract:

The aims are to clarify the yielding ability, yield stability, and adaptability of sugar beet varieties tested in different regional trials across China, and to identify the discriminability and representativeness of each test point. In 2020, 16 introduced KWS series sugar beet varieties were used as the test materials in 9 test bases in different ecological regions across the country. The sugar yield indicators of the varieties were analyzed by GGE biplot method based on R language. The results showed that KWS 0015(G16) had the highest yield in the regional trial of sugar beet varieties in 2020. KWS 7748(G6) and KWS 9921(G15) had relatively stable yield; and KWS 0015(G16) was the ideal variety for most test bases because of its strong regional adaptability, high and stable yield compared with other varieties. In addition, Hohhot (E9) had higher discriminability and better representativeness, and was an ideal pilot area for this study. In conclusion, the GGE biplot method is scientific for the comprehensive analysis of genotype, and environment and genotype interaction effects of sugar beet varieties.

Key words: GGE biplot, R language, sugar beet, regional trial, sugar yield