Identification of high-yielding and stable genotypes of barley in the cold climate of Iran using AMMI and GGE biplot models

Breeding strategies aiming at achieving broad adaptation require an initial characterization of genotype-by-environment interaction (GEI) through multi-environment trials (METs). A panel of 17 recently developed barley genotypes, along with a local check cultivar, was evaluated over two cropping seasons (2021-2023) across eight locations within the cold climate zone of Iran: Ardebil, Miandoab, Arak, Hamedan, Mashhad, Jolgeh-Rokh, Tabriz, and Karaj. To assess genotype responses to terminal drought stress, additional targeted evaluations were conducted in Hamedan and Mashhad, which represent the most drought-prone environments in the region. The contribution of GEI to grain yield variation was substantial, accounting for 51.28% of the variation according to the additive main effects and multiplicative interaction (AMMI) model and 17.47% based on combined analysis of variance (ANOVA). Several genotypes were identified as both stable and high-yielding according to the AMMI model and associated stability parameters, including WAAS, WAASY, and AMMI biplot analyses. The GGE biplot analysis indicated that Hamedan and Tabriz were the most representative and discriminative testing environments. The multi-trait stability index (MTS), which integrates drought tolerance indices such as TOL, STI, MP, GMP, YI, and RSI, identified STI as having the highest selection gain (SG) among the evaluated indices. Based on the MTS index, genotype G3 emerged as a promising candidate for drought-prone environments. Furthermore, based on yield performance and specific adaptability across target environments and drought stress conditions, genotypes G3 and G4 were identified as superior entries according to polygon and ideal genotype analyses. These genotypes are therefore strong candidates for further validation and potential varietal release in the cold agroecological zones of Iran, as well as in regions with comparable climatic conditions.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-06-29
DOI
https://doi.org/10.1038/s41598-026-59976-9
Primary Topic
Genetics and Plant Breeding
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of high-yielding and stable genotypes of barley in the cold climate of Iran using AMMI and GGE biplot models

Alireza Pour‐Aboughadareh, S Nour Mohammadi, Marefat Ghasemi Kalkhoran, Hassan Monirifar et al.
Scientific Reports
Genetics and Plant Breeding
article

Identification of high-yielding and stable genotypes of barley in the cold climate of Iran using AMMI and GGE biplot models

Alireza Pour‐Aboughadareh, S Nour Mohammadi, Marefat Ghasemi Kalkhoran, Hassan Monirifar, Mehrdad Chaichi, Habibollah Ghazvini, Afshin Rozbehani, Sayed Alireza Razavi, Bita Jamshidi, Jan Bocianowski
article en

Abstract

Breeding strategies aiming at achieving broad adaptation require an initial characterization of genotype-by-environment interaction (GEI) through multi-environment trials (METs). A panel of 17 recently developed barley genotypes, along with a local check cultivar, was evaluated over two cropping seasons (2021-2023) across eight locations within the cold climate zone of Iran: Ardebil, Miandoab, Arak, Hamedan, Mashhad, Jolgeh-Rokh, Tabriz, and Karaj. To assess genotype responses to terminal drought stress, additional targeted evaluations were conducted in Hamedan and Mashhad, which represent the most drought-prone environments in the region. The contribution of GEI to grain yield variation was substantial, accounting for 51.28% of the variation according to the additive main effects and multiplicative interaction (AMMI) model and 17.47% based on combined analysis of variance (ANOVA). Several genotypes were identified as both stable and high-yielding according to the AMMI model and associated stability parameters, including WAAS, WAASY, and AMMI biplot analyses. The GGE biplot analysis indicated that Hamedan and Tabriz were the most representative and discriminative testing environments. The multi-trait stability index (MTS), which integrates drought tolerance indices such as TOL, STI, MP, GMP, YI, and RSI, identified STI as having the highest selection gain (SG) among the evaluated indices. Based on the MTS index, genotype G3 emerged as a promising candidate for drought-prone environments. Furthermore, based on yield performance and specific adaptability across target environments and drought stress conditions, genotypes G3 and G4 were identified as superior entries according to polygon and ideal genotype analyses. These genotypes are therefore strong candidates for further validation and potential varietal release in the cold agroecological zones of Iran, as well as in regions with comparable climatic conditions.

Scientific Reports
Sulaimani Polytechnic University (IQ), Soil Conservation and Watershed Management Research (IR), Agricultural Research & Education Organization (IR), University of Life Sciences in Poznań (PL)
Climate action
Openalex Percentile: Top 9%
Genetics and Plant Breeding
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.