AMMI and GGE Biplot Analyses for Mega- Environment Identification and Selection of Some High-Yielding Oat (Avena sativa L.) Genotypes for Multiple Environments

Share

Citation

Kibreab Wodebo, Taye Tolemariam, Solomon Demeke, Weyessa Garedew, Tessema Tesfaye, Muluken Ekule, Deribe Gemiyu, Worku Bedeke, Jane Wamatu, Sharma Mamta. (30/10/2024). AMMI and GGE Biplot Analyses for Mega- Environment Identification and Selection of Some High-Yielding Oat (Avena sativa L. ) Genotypes for Multiple Environments. Nairobi, Kenya: International Livestock Research Institute (ILRI).

Permanent link to cite or share this item

External link to download this item

DOI

Abstract/Description

To lessen the impact of Genotype x Environment interaction and to increase the precision and reliability of genotype selection, the yield and stability of performance should be taken into account simultaneously. Two methodologies of analysis (AMMI and GGE) approved selecting ILRI_5527A/G6 for a further breeding program or for high-production growers in Adiyo, Doyogena, Chencha and Hulla locations of Central Ethiopia.

Author ORCID identifiers

Contributes to SDGs

SDG 1 - No poverty
SDG 2 - Zero hunger
SDG 12 - Responsible consumption and production
SDG 13 - Climate action
Countries
Investors/sponsors
CGIAR Action Areas