Analytical graphics for multi-environment trials of breed selection

Zhe Liu, Hu Wang, Jianyu Yang, Shaoming Li, Qin Ma, Lin Li, Xiaodong Zhang, Dehai Zhu

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


Graphic analysis is an efficient way of data mining for multi-environment trials (MET). In order to fully exploit useful information in trials, make variety evaluation, selection and prediction efficiently and accurately, more analytical graphics that are suitable for various traits, understandable and easy-operating, need be introduced into MET. In this paper, three kinds of analytical graphics-radar, candlestick, and conditional format, accompany with their application methods were put forward based on the national MET data of maize in China. The results showed that: the 3 analytical graphics were suitable for various traits of MET, understandable, and easy-operating. Radar chart was good at comprehensive analysis of multi-index, including reliability and consistency of certain variety or environment, selection and comparison of varieties. Candlestick chart did well in comparing varieties or environments in detail and pattern discovery of single index, such as discriminating ability of test environment, superiority and stability of a variety. Conditional format is a good combination of data viewing and visualization. Using the 3 kinds of graphics will improve the efficiency of analyzing and decision making of MET.

Original languageEnglish (US)
Pages (from-to)142-147
Number of pages6
JournalNongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Issue number10
StatePublished - Oct 2011


  • Biplot
  • Candlestick
  • Conditional format
  • Graphic methods
  • Multi-environment trials
  • Radar
  • Research


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