We evaluated the phenotypic and genotypic stability and adaptability of hybrids using the additive main effect and multiplicative interaction (AMMI) and genotype x genotype-environment interaction (GGE) biplot models. Starting with 10 single-cross hybrids, a complete diallel was done, resulting in 45 double-cross hybrids that were appraised in 15 locations in Southeast, Center-West and Northeas...

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 ...

Thirty six wheat genotypes derived from diallel crosses from F1 to F3 and their parents were evaluated in six different environments for the stability of performance. Performance was measured by seed yield per plant under drought and non-drought stress conditions. The experiment was conducted as a randomised complete block design with three replications in over one year. Additive main effects a...

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...

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...

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...

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). ...

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...

Seed cotton yield is a trait governed by multiple genes that cause changes in the performance of genotypes depending on the cultivation environment. Breeding programs examine the genotype x environment interaction (GE) using precise statistical methods, such as AMMI (additive main effects and multiplicative interaction) and GGE biplot (genotype main effects + genotype x environment interaction)...