Analysis of Foxtail Millet Regional Trials Based on BLUP and GGE Biplot

WANG Shujun; XING Lu

doi:10.15933/j.cnki.1004-3268.2025.08.005

Abstract：In order to accurately select foxtail millet varieties with high and stable yield and broad adaptability,this study utilized best linear unbiased prediction(BLUP)data instead of raw yield for GGE biplot analysis.The analysis was conducted on 9 foxtail millet varieties and 14 test sites of National Foxtail Millet Variety Regional Adaptability Joint Evaluation Trial(North China Summer-sowing Region)in 2023-2024.The results showed that,heatmap and ANOVA comparisons demonstrated that BLUP data decreased the variation coefficient of yield,and could better represent the genetic potential of variety.Notably,BLUP data explained 94.95%of total yield variation,which was obviously higher than that of raw data(72.51%),improving analytical precision.GGE biplot analysis using the BLUP data revealed that Yugu 101,Zhenggu 678 and Zhonggu 855 had higher yield;Hangu 6,Zhonggu 855 and Cang 471 had better yield stability;Yugu 101 and Zhonggu 855 had better comprehensive performance in yield potential and stability.Yugu 101 had the widest adaptability,followed by Zhonggu 855.Jinzhou(Liaoning Province),Taian(Shandong Province)and Anyang(Henan Province)sites were ideal test sites with strong discriminability and good representativeness.Overall,Yugu 101 and Zhonggu 855 are ideal foxtail millet varieties with high and stable yield and broad adaptability,suitable for promotion and cultivation in the North China summer millet region.