Identification of high-yielding and stable cultivars of wheat under different sowing dates: Comparison of AMMI and GGE-biplot analyses [PDF]
Evaluating the adaptability and yield stability of wheat varieties across different sowing dates is crucial for the success of breeding programs. In this study, we used Additive Main Effects and Multiplicative Interactions (AMMI) and Genotype × Genotype ...
Majid Taherian +3 more
doaj +2 more sources
Genotype by environment interaction, AMMI, GGE biplot, and mega environment analysis of elite Sorghum bicolor (L.) Moench genotypes in humid lowland areas of Ethiopia [PDF]
This study aimed to evaluate high-yielding, stable sorghum genotypes and determine the ideal (representative and discriminating) testing environments for genotypes in the humid lowlands of Ethiopia.
Habtamu Demelash
doaj +2 more sources
Graphical analysis of multi-environmental trials for wheat grain yield based on GGE-biplot analysis under diverse sowing dates [PDF]
Background Information on the nature and extent of genetic and genotype × environment (GE) interaction is extremely rare in wheat varieties under different sowing dates.
Fatemeh Saeidnia +2 more
doaj +2 more sources
STABILITY ANALYSIS OF NINE PROMISING CLONES OF TEA (Camellia sinensis) [PDF]
There are many clones grown in Indonesia tea plantations. The latest clones were released around 1990. The new promising clones have been bred through crossing among selected clones in Pagilaran tea plantation.
Rudi Hari Murti +2 more
doaj +3 more sources
Evaluation of adaptability and stability for iron, zinc and protein content in cowpea genotypes using GGE biplot approach [PDF]
Cowpea is a widely cultivated crop in the world. Biofortification strategies aim to reduce mineral and protein deficiencies, especially among the poorest people.
Maurício dos Santos Araújo +7 more
doaj +2 more sources
Adaptability and stability analysis via GGE biplot in single, double, and interpopulation maize hybrids [PDF]
The interaction of genotype by environment challenges material selection for specific regions. The GGE biplot methodology proves to be effective in detecting and addressing this complexity.
Vivane Mirian Lanhellas Gonçalves +4 more
doaj +2 more sources
Genotype-by-environment interaction and stability analysis of grain yield of bread wheat (Triticum aestivum L.) genotypes using AMMI and GGE biplot analyses [PDF]
Bread wheat is a vital staple crop worldwide; including in Ethiopia, but its production is prone to various environmental constraints and yield reduction associated with adaptation. To identify adaptable genotypes, a total of 12 bread wheat genotypes (G1
Destaw Mullualem +8 more
doaj +2 more sources
AMMI and GGE biplot analysis for genotype × environment interactions affecting the yield and quality characteristics of sugar beet [PDF]
Sugar beet, an important sugar crop, contributes significantly to the world’s sugar production. However, genotype–environment interactions (GEI) often affect the quality characteristics of sugar beet. Hence, understanding the effects of GEI on sugar beet
Xinwang Dang +5 more
doaj +3 more sources
Yield of soybean genotypes identified through GGE biplot and path analysis. [PDF]
Genotype × environment (G×E) interaction is an important source of variation in soybean yield, which can significantly influence selection in breeding programs. This study aimed to select superior soybean genotypes for performance and yield stability, from data from multi-environment trials (METs), through GGE biplot analysis that combines the main ...
Silva WJDS +17 more
europepmc +6 more sources
The genotype by environment interaction (GEI) analysis was usually done by Additive Main Effects and Multiplicative Interaction (AMMI) model with Biplot features, and recently there was a Row Column Interaction Model (RCIM) alternatively.
Alfian Futuhul Hadi +2 more
doaj +1 more source

