Developing high yielding and stable genotypes for wide and specific adaptation is important in wheat (Triticum aestivum L.) production. The objective of this study was to exploit the gains from genotype by environment interaction for increased bread wheat production in eastern Africa. Thirty-three advanced bread wheat lines, along with two check varieties (Danda’a and Hidasse) were evaluated at...

based on principal component analysis (pca), gge biplot analysis is an effective method to fully assess multienvironmental yield trials (mets). additive main effects and multiplicative interaction (ammi) is an alternative method for assessing phenotypic stability and adaptability. in this research, met data of 14 maize inbred lines were used to perform ammi and gge biplot analyses. these genoty...

Yield and yield attributes are important components in genotypic evaluation. The butterfly pea is a native plant of Indonesia, it considered an underutilized crop. goals this study were to evaluate genotypes using environment (year) interactions (GEIs) with attributes, based on stability measurements sustainability index (SI). was conducted at the Ciparanje Experimental Field, Faculty Agricultu...

In rainfed areas, due to variable environmental factors, improving the yield stability of introduced cultivars along with increasing should be considered. The main aim this study is obtain high-yield wheat genotypes that are stable and adaptable cold climatic conditions in Iran. For purpose, 25 were evaluated a randomized complete blocks design three replications during cropping seasons (2013-2...

Bread wheat is one of the most represented field crops whose level and stability yield very important for food security in Republic Serbia. In paper was investigated expression 15 winter bread genotypes different agroecological conditions Serbia, using Additive main effects multiplicative interaction (AMMI) model GGE-biplot method analysis. Aim investigation to determine which applied analysis ...

Stability analysis of wheat genotypes under rainfed timely sown trials in Northern Hills Zone India by Additive main & multiplicative interactions (AMMI) observed highly significant effects the environment, GxE interaction and during 2018-19 2019-20. The ranking had altered with utilization more number IPCA’s AMMI WAASB measures. Environments contributed about 53%, accounted for 30.5% Genot...

genotype×environment interactions (geis) can affect breeding programs because they often complicate the evaluation and selection of superior genotypes. this drawback can be reduced by gaining insights into gei processes and genotype adaptation. the objectives of this research were to evaluate: (1) the yield stability of promising wheat lines across locations and (2) the relationship among the t...

the ammi and sreg gge   are among the models that effectively capture the additive and multiplicative components of genotype × environment interaction (gei) and provide meaningful interpretation of multi-environment trials’ data set in the breeding programs. the objective of this study was to assess the effect of gei on grain yield of barely advanced lines and exploit the positive gei effect us...