Identification of high yielding and stable barley genotypes for the warm climate in Iran using the GGE biplot approach

Articles in Press

Document Type : علمی- پژوهشی

Authors

1 Agricultural research, extension and education organization - Seed and plant improvement institute

2 Assist. Prof. Cereal Research Department, Seed and Plant Improvement Institute (SPII), Karaj, Iran

3 Crop and Horticultural Science Research Department, Fars Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Darab, Iran

4 Researcher. Crop and Horticultural Science Research Department, Golestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Gonbad, Iran

5 Assistant Prof. and Researcher, Crop and Horticultural Science Research Department, Sistan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Zabol, Iran

6 Crop and Horticultural Science Research Department, Ardabil Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Moghan, Iran

7 Crop and Horticultural Science Research Department, Khuzestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Ahvaz, Iran

8 Crop and Horticultural Science Research Department, Sistan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Zabol, Iran

9 Crop and Horticultural Science Research Department, Golestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Gonbad, Iran

Abstract

One of the main efforts to develop new varieties is to decipher the genotype-by-environment interaction (GEI) effect in multi-environment trials (METs). In other words, the correct interpretation of the GEI effect in METs can assist in the selection of the best genotypes with high performance and stability under different environmental conditions. Hence, the main objective of the present study was to identify the superior barley genotypes in terms of grain yield and stability for further use in the warm regions of Iran. For this purpose, a set of genetic materials including 18 promising genotypes along with a local cultivar [Oxin as the reference check] were evaluated at five research stations including Darab, Ahvaz, Zabol, Moghan, and Gonbad during the 2019-2021 years. Our results showed that the main effects of environment (E), genotypes (G), and their interactions (GEI) were highly significant. Based on the means comparison, the highest grain yields were recorded by genotype numbers G16, G8, G15, G1, and G9 compared with other genotypes, respectively. The GGE biplot analysis revealed that the first two principal components explained 33% and 14.67% of the total grain yield variation, respectively. Based on the polygon viewpoint of the GGE biplot, four mega environments were identified in the warm climate of Iran. Considering the results, genotype G16 can be used as a well-adapted genotype with high grain yield and stability in the target environments. Therefore, comprehensive research on this genotype is needed before their commercial introduction.

Keywords

Iranian Journal of Genetics and Plant Breeding

Articles in Press, Accepted Manuscript
Available Online from 07 October 2024

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History

  • Receive Date: 11 March 2024
  • Revise Date: 28 September 2024
  • Accept Date: 07 October 2024

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