<p class="MsoNormal" style="margin:0cm 61.35pt .0001pt 54pt;line-height:normal;"><em><span style="font-size:10pt;" lang="en-us" xml:lang="en-us">Additive Main Effects Multiplicative Interaction (AMMI) is a widely known analysis used in understanding genotype and environment interaction (GEI)</span></em><em><span style="font-size:10pt;" lang="sv" xml:lang="sv"> in plant breeding research. The interpretation of AMMI based on biplot visualizes the first two component of principle components analysis. Biplot of AMMI is only an exploration analysis and it does not provide the hypothesis testing, so it can conduct <span> </span>different<span>  </span>interpretation by plant breeding researchers. The aim of this research is to find a systematic approach through bootstrap resampling method. Bootstrap resampling method in AMMI model produces confidence region of the first two interaction principle component (</span></em><span style="font-size:12pt;line-height:150%;" lang="en-us" xml:lang="en-us"></span><em><span style="font-size:10pt;" lang="sv" xml:lang="sv"><span> </span>and </span></em><span style="font-size:12pt;line-height:150%;" lang="en-us" xml:lang="en-us"></span><em><span style="font-size:10pt;" lang="sv" xml:lang="sv">) for genotype and environment respectively. Bootstrap confidence region of </span></em><span style="font-size:12pt;line-height:150%;" lang="en-us" xml:lang="en-us"></span><em><span style="font-size:10pt;" lang="sv" xml:lang="sv"><span> </span>and </span></em><span style="font-size:12pt;line-height:150%;" lang="en-us" xml:lang="en-us"></span><em><span style="font-size:10pt;" lang="sv" xml:lang="sv"><span> </span>estimated the stability of genotype, thus making AMMI analysis more precise and realiable for characterization and selection of<span>  </span>genetic<span>  </span>environment.</span></em><em><span style="font-size:10pt;"></span></em></p>

  • Pepi Novianti
  • Ahmad Ansori Mattjik
  • I Made Sumertajaya

Abstract

Additive Main Effects Multiplicative Interaction (AMMI) is a widely known analysis used in understanding genotype and environment interaction (GEI) in plant breeding research. The interpretation of AMMI based on biplot visualizes the first two component of principle components analysis. Biplot of AMMI is only an exploration analysis and it does not provide the hypothesis testing, so it can conduct  different  interpretation by plant breeding researchers. The aim of this research is to find a systematic approach through bootstrap resampling method. Bootstrap resampling method in AMMI model produces confidence region of the first two interaction principle component ( and ) for genotype and environment respectively. Bootstrap confidence region of  and  estimated the stability of genotype, thus making AMMI analysis more precise and realiable for characterization and selection of  genetic  environment.

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