Linear-bilinear models, especially the additive main effects and multiplicative interaction (AMMI) model, are widely applicable to genotype-by-environment interaction (GEI) studies in plant breeding programs. These models allow a parsimonious modeling of GE interactions, retaining a small number of principal components in the analysis. However, one aspect of the AMMI model that is still debated...

This study aims to investigate the effect of a methanol extract of Trachyspermum ammi (L.) as an antiepileptic agent. Tests were conducted with a singleand multiple-dosing schedule of Trachyspermum ammi (L.), using a strychnineinduced seizure model for epilepsy. Twenty-one animals were divided into three groups; control (vehicle), standard (diazepam) and test (Trachyspermum ammi (L.) extract). ...

When you are faced with analyzing two-way cross-classified experiments, you are almost always interested in whether the two factors interact or not, and if they do interact, combinations of the two factors are responsible for the interaction in the data. When there are no independent replications, there are no traditional tests for interaction. SAS® macros have been developed to provide user-fr...

MOTIVATION One of the most widely used models to analyse genotype-by-environment data is the additive main effects and multiplicative interaction (AMMI) model. Genotype-by-environment data resulting from multi-location trials are usually organized in two-way tables with genotypes in the rows and environments (location-year combinations) in the columns. The AMMI model applies singular value deco...

CROP SCIENCE, VOL. 47, MARCH–APRIL 2007 641 ABSTRACT The use of genotype main effect (G) plus genotype-by-environment (GE) interaction (G+GE) biplot analysis by plant breeders and other agricultural researchers has increased dramatically during the past 5 yr for analyzing multi-environment trial (MET) data. Recently, however, its legitimacy was questioned by a proponent of Additive Main Effect ...

This paper presents the yields and several stability parameters of additive main effects and multiplicative interactions (AMMI) model in ten improved lentil genotypes which tested in very diverse environmental conditions in Iran. The F-Gollob indicated that first three interaction principle component analysis (IPCA) axis of AMMI model was significant while cross validation procedure through RMS...

understanding the implication of genotype-by-environment interaction (gei) and improving stability of crop yield in a target production environment is important in plant breeding. in this research, we used the ammi (additive main effects and multiplicative interaction) model to identify the stable genotype(s) by predictive accuracy of yield data. results of this study indicated that the fgh tes...

A procedure is described for the isolation of native DNA from protoplasts of ammi (Ammi visnaga) and carrot (Daucus carota) cells. Protoplasts were produced from 40 grams of fresh cells by enzyme hydrolysis and lysed with sodium dodecyl sulfate. The DNA was purified by treatment with pronase and ribonuclease. Final isolation was achieved by sucrose density gradient centrifugation.The melting te...

Th e improvement of new genotypes with acceptable yield stability in diff erent environments is an important issue in breeding programs. In order to study genotype × environment (GE) interaction and to determine the most stable durum wheat genotypes, fi eld experiments were conducted with 20 genotypes for three years (20072009). Results showed highly signifi cant GE interaction indicating the p...

Physicochemical properties of 10 rice advanced breeding lines (BC2F7) across 3 environments in Malaysia were evaluated. Highly significant G × E interactions for all measured quality traits were detected using ANOVA, and the additive main effect and multiplicative interaction (AMMI) statistical model was applied to analyze them. The results showed that the grain quality parameters had large gen...