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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]

open access: yesHeliyon
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
exaly   +5 more sources

Assessment of yield performances for grain sorghum varieties by AMMI and GGE biplot analyses [PDF]

open access: yesFrontiers in Plant Science, 2023
Grain sorghum is an exceptional source of dietary nutrition with outstanding economic values. Breeding of grain sorghum can be slowed down by the occurrence of genotype × environment interactions (GEI) causing biased estimation of yield performance in ...
Wang Hailian
exaly   +3 more sources

Identification of high-yielding and stable cultivars of wheat under different sowing dates: Comparison of AMMI and GGE-biplot analyses [PDF]

open access: yesHeliyon
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   +3 more sources

Graphical analysis of multi-environmental trials for wheat grain yield based on GGE-biplot analysis under diverse sowing dates [PDF]

open access: yesBMC Plant Biology, 2023
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   +3 more sources

Adaptability and stability analysis via GGE biplot in single, double, and interpopulation maize hybrids [PDF]

open access: yesScientific Reports
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   +3 more sources

Evaluation of adaptability and stability for iron, zinc and protein content in cowpea genotypes using GGE biplot approach [PDF]

open access: yesHeliyon, 2022
Cowpea is a widely cultivated crop in the world. Biofortification strategies aim to reduce mineral and protein deficiencies, especially among the poorest people.
Maurisrael De Moura Rocha   +2 more
exaly   +4 more sources

Multi-environment testing for G×E interactions and identification of high-yielding, stable, medium-duration pigeonpea genotypes employing AMMI, GGE biplot, and YREM analyses [PDF]

open access: yesFrontiers in Plant Science
Pigeonpea [Cajanus cajan (L.) Millspaugh] is a widely grown pulse with high seed protein content that contributes to food and nutritional security in the Indian subcontinent. The majority of pigeonpea varieties cultivated in India are of medium duration (
Naresh Bomma
exaly   +3 more sources

AMMI an GGE biplot analysis of grain yield for drought-tolerant maize hybrid selection in Inner Mongolia [PDF]

open access: yesSci Rep, 2023
Due to the ongoing global warming, maize production worldwide is expected to be heavily inflicted by droughts. The grain yield of maize hybrids is an important factor in evaluating their suitability and stability.
Yipu Li   +7 more
semanticscholar   +2 more sources

AMMI and GGE biplot analyses of Bambara groundnut [Vigna subterranea (L.) Verdc.] for agronomic performances under three environmental conditions [PDF]

open access: yesFront Plant Sci, 2023
Introduction The two most common styles to analyze genotype-by-environment interaction (GEI) and estimate genotypes are additive main effects and multiplicative interaction (AMMI) and genotype + genotype × environment (GGE) biplot.
V. Esan   +3 more
semanticscholar   +2 more sources

Selecting High-Performing and Stable Pea Genotypes in Multi-Environmental Trial (MET): Applying AMMI, GGE-Biplot, and BLUP Procedures [PDF]

open access: yesPlants (Basel), 2023
A large amount of data on various traits is accumulated over the course of a breeding program and can be used to optimize various aspects of the crop improvement pipeline. We leveraged data from advanced yield trials (AYT) of three classes of peas (green,
Sintayehu D. Daba, A. Kiszonas, R. McGee
semanticscholar   +2 more sources

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