Applied AMMI (Additive Main Effects and Multiplicative Interaction) Model for Multi-Response of Multi-Environment Trial
| Main Author: | Maiyanti, Sri Indra |
|---|---|
| Format: | Proceeding PeerReviewed application/msword |
| Terbitan: |
, 2010
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| Subjects: | |
| Online Access: |
http://eprints.unsri.ac.id/981/1/Makalah_AMMI_Method%2Dto_pasca_unsri%2Drevisi.doc http://eprints.unsri.ac.id/981/ |
Daftar Isi:
- Plant breeders typically conduct large-scale trials to investigate the performance of large numbers of genotypes in several environments, or usually called multi-environment trial (MET). The aim of MET is selecting the best genotypes for further improvements of crops. The powerfull tool for analizing MET and studying genotype x environment iteraction (GEI) is Additive Main Effects and Multiplicative Interaction (AMMI) model. AMMI model combines two-way analysis of variance (ANOVA), to analyze a genotype and an environment effect, and analysis of principal component (PCA), to asses a genotype x environment interaction. The “GE” biplot refers to graph of GEI obtained from AMMI model. The main problem accounted in MET study is the limitation of AMMI model for multi-response. Multi-response become important problem in AMMI model. This is taken into cosideration, since AMMI model is usually still focused on a single response such as yield. It’s caused that various response couldn’t be explained comprehensiveness. Therefore, in this paper analytical approach has been exercised to combine multi-response in order to explain performance genotype x environment interaction. Method to combine multi-response is division by mean (DM). AMMI method with DM multi-respons is exemplified using data from MET 16 genotypes padi in 3 environments and four responses from The center of agricultural technolocy research in south Sumatera. Keywords : AMMI model, multi-response, division by mean.