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  • 标题:EVALUATION OF THIRTEEN DURUM WHEAT (TRITICUM DURUM DESF.) GENOTYPES SUITABLE FOR MULTIPLE ENVIRONMENTS USING GGE BIPLOT ANALYSIS
  • 本地全文:下载
  • 作者:Ferhat Kizilgeci ; Onder Albayrak ; Mehmet Yildirim
  • 期刊名称:Fresenius Environmental Bulletin
  • 印刷版ISSN:1018-4619
  • 出版年度:2019
  • 卷号:28
  • 期号:9
  • 页码:6873-6882
  • 语种:English
  • 出版社:PSP Publishing
  • 摘要:The present study was undertaken to identify the best durum wheat genotypes suitable for the South-Eastern Anatolia Region of Turkey with desirable grain yield and quality. In the context, thirteen spring durum wheat genotypes were evaluated in four environmental condition of the target region in consecutive two growing seasons in the year 2013-14 and 2014-15. The stability and superiority of genotypes, and favorable testing environments were described by using ANOVA and GGE biplot analysis (genotype, genotype x environment). Genotype, environment and GEI (genotype x environment interaction) was found to be highly significant for multiple traits. The total variation of PCI (principles component) and PC2 was calculated 90% for ETI (environment trait interaction), 57.35 for GTI (genotype trait interaction), and 87.5% for GE interaction. The results of total variation of ETI was found higher than GTI and GEI. On the other hand, the biplot analysis showed that four megaenvironments occurred among ETI and three environments (E1, E2 and E3) correlated with different traits, while environments E4 did not correlated with any traits. The environment E1 was found the best for Grain yield, test weight, thousand kernel weight and starch content, E2 for L*, b*, SPAD, and E3 for zeleny sedimentation, protein content and wet gluten content. In the biplot analysis, the environments divided three sector based on traits. Among the genotypes, the genotype G8 was performed the best in all tested environments, while G9 was found the best based on all traits. The results of the study showed that GGE biplot analysis can be used as a good tool to identity of the most suitable environment in terms of all the characteristics as well as to identify the best genotypes for future breeding program.
  • 关键词:GGE biplot;protein;stability;interaction;semolina colour
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