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

Main Authors: Novianti, Pepi, Mattjik, Ahmad Ansori, Sumertajaya, I Made
Other Authors: line-height:normal, ">, " 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), " 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 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 (, line-height:150%, " lang="en-us" xml:lang="en-us">, " lang="sv" xml:lang="sv"> and, " lang="sv" xml:lang="sv">) for genotype and environment respectively. Bootstrap confidence region of, " lang="sv" xml:lang="sv"> estimated the stability of genotype, thus making AMMI analysis more precise and realiable for characterization and selection of genetic environment.
Format: Article info application/pdf eJournal
Bahasa: eng
Terbitan: FORUM STATISTIKA DAN KOMPUTASI , 2010
Online Access: http://journal.ipb.ac.id/index.php/statistika/article/view/4903
http://journal.ipb.ac.id/index.php/statistika/article/view/4903/3336

Internet

http://journal.ipb.ac.id/index.php/statistika/article/view/4903
http://journal.ipb.ac.id/index.php/statistika/article/view/4903/3336

Lokasi

Koleksi FORUM STATISTIKA DAN KOMPUTASI
Gedung Perpustakaan Institut Pertanian Bogor
Institusi Institut Pertanian Bogor
Kota BOGOR
Provinsi JAWA BARAT
Kontak Butuh informasi lebih lanjut? Hubungi pustakawan institusi ini.