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dc.contributor.authorHADI, Alfian F.
dc.contributor.authorMATTJIK, AA
dc.contributor.authorSUMERTAJAYA, IM
dc.date.accessioned2023-03-27T02:34:52Z
dc.date.available2023-03-27T02:34:52Z
dc.date.issued2010-07-05
dc.identifier.urihttps://repository.unej.ac.id/xmlui/handle/123456789/113507
dc.description.abstractAMMI (Additive Main Effect Multiplicative Interaction) model for interactions in two-way table provide the major mean for studying stability and adaptability through genotype × environment interaction (GEI), which modeled by full interaction model. Eligibility of AMMI (Additive Main Effect Multiplicative Interaction) model depends on that assumption of normally independent distributed error with a constant variance. In the study of genotypes’ resistance, disease and pest (insect) incidence on a plant for example, the appropriateness of AMMI model is being doubtful. We can handle it by introducing multiplicative terms for interaction in wider class of modeling, Generalized Linear Models. Its called Generalized AMMI model. An algorithm of iterative alternating generalized regression of row and column estimates its parameters. GAMMI log-link model will be applied to the Poisson data distribution. GAMMI log-link models give us good information of the interaction by its log-odd ratio.en_US
dc.language.isoenen_US
dc.publisherJurnal ILMU DASARen_US
dc.subjectAMMIen_US
dc.subjectGEIen_US
dc.subjectGAMMIen_US
dc.subjectlog-linken_US
dc.titleGeneralized AMMI Models for Assessing The Endurance of Soybean to Leaf Pesten_US
dc.typeArticleen_US


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