Special Thesis & Basic Research

Application of GGE-biplot Based on R Language to Regional Trial of Rice Varieties

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  • 1Liaoning Rice Research Institute, Shenyang 110101, China
    2Dashiqiao Centre for Agricultural and Rural Affairs, Dashiqiao, Liaoning 115000, China
1st author: Lndaozuo@126.com

Received date: 2023-10-16

  Online published: 2024-03-18

Abstract

To accurately evaluate the stability and adaptability of rice varieties, we analyzed the yield data of 14 participating varieties from six mid-early experiment sites of Liaoning Province using GGE-biplot in 2019. The results showed that genotype, environment and interaction between genotype and environment influenced rice yield very significantly. The six pilot areas can be divided into three ecological types, and Yuanjing 2 performed the best in its respective ecological areas. Meifengdao 245, Jingyuan 2, and Fuhedao 258 were ideal varieties for this experiment due to their high-yielding ability and good stability. Among the experimental pilots, Kaiyuan Demonstration and Multiplication Farm had the strongest discrimination, Huanren Manchu Autonomous County Seed Management Station had the best representativeness, and Fushun Seed Management Station had good discrimination ability and strong representativeness, making it an ideal regional experimental site for this experiment group.

Cite this article

JIANG Xiuying, MA Zuobin, WANG Qingxin, LV Jun, PAN Zhengyan, XIE Wenxiao, LI Jianguo, LI Yuedong, HAN Yong . Application of GGE-biplot Based on R Language to Regional Trial of Rice Varieties[J]. China Rice, 2024 , 30(2) : 57 -60 . DOI: 10.3969/j.issn.1006-8082.2024.02.011

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