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ANALYSIS OF PROMISING BARLEY (Hordeum vulgare L.) LINES PERFORMANCE BY AMMI AND GGE BIPLOT IN MULTIPLE TRAITS AND ENVIRONMENT.
- Source :
- Applied Ecology & Environmental Research; 2019, Vol. 17 Issue 2, p5219-5233, 15p
- Publication Year :
- 2019
-
Abstract
- The development of stable and adaptable new cultivars are based only on positive results obtained from the interaction between the genotype and the environment. Therefore, the study aimed to test the stability and general adaptability of promising barley lines in terms of grain yield and traits in multi-environments. For this purpose, twelve barley genotypes were used in the study. The trials were carried out with four replications in a random design at seven environments in years 2012-13 and 2013- 14. The superior and stable genotypes were identified with GGE biplot and AMMI (Additive main effects and multiplicative interaction) models. The AMMI analysis showed that the major treatment sum of squares was affected by environments (80.6%), GE (14.0%) and genotypes (5.4%), respectively. On the other hand, the first two principal component axes (PCA 1 and PCA 2) contributed to the complete interaction with 88.1%, whereas, PCA 3 and PCA 4 axes only with 12.0%. The GGE biplot indicated that G4 is adaptable for all environments, while Altikat, G2 and G3 showed specific adaptation to E1, E3 and E5, G6, G7 and G8 to E6, respectively. According to both techniques, G2, G3, G6, G7, G8 and Altikat were the best genotypes with high yield, whereas G4 was the best with high yield, and stable and general adaptation. The results of biplot indicated that G4 (ARUPO /K8755//MORA/3/CERISE/SHYRI//ALEL I/4/CANELA/5/HART-BAR) was recommended for release and it was released as HEVSEL in 2017. On the other hand; G7 and G6 were protected as genetic material to use as parent in breeding programs for yield stability and quality respectively. [ABSTRACT FROM AUTHOR]
- Subjects :
- BARLEY
GENOTYPE-environment interaction
GRAIN yields
SUM of squares
ECOLOGY
Subjects
Details
- Language :
- English
- ISSN :
- 15891623
- Volume :
- 17
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Applied Ecology & Environmental Research
- Publication Type :
- Academic Journal
- Accession number :
- 135972193
- Full Text :
- https://doi.org/10.15666/aeer/1702_52195233