AL-NAGGAR, AHMED MEDHAT MOHAMED and YOUNIS, ABD EL-SAMAD MAHMOUD and ATTA, MOHAMED MOHAMED and EL-MONEIM, MAISA LOTFY ABD and AL-METWALLY, MARIAM SABRY (2022) STABILITY OF Chinopodium quinoa GENOTYPES UNDER DIFFERENT NITROGEN FERTILIZER SOURCE AND LEVEL USING AMMI AND GGE-BIPLOT MODELS. PLANT CELL BIOTECHNOLOGY AND MOLECULAR BIOLOGY, 23 (13-14). pp. 1-20. ISSN 0972-2025
Full text not available from this repository.Abstract
The interaction between genotype and environment (G×E) reduces the heritability estimate and thus the efficiency of selection. Among many methods suggested for assessment of G×E interaction, AMMI analysis and GGE-biplot model are the best in giving detailed information. The aims of the present investigation were: (i) to estimate the G×E interaction for 37 quinoa genotypes and (ii) to identify the stable and/or adaptable genotypes across 12 environments (two fertilizer types × three N rates × two seasons) by using the AMMI and GGE-biplot models. In each environment, the randomized complete blocks design with three replications was used. Analysis of variance of AMMI indicated that genotype (G), environment (E) and G×E interaction had a highly significant influence on quinoa seed yield/ha. Based on AMMI model, NAD-1-W (G2), and Agritec-Beige (G6) could be considered stable across the test environments and among the five highest seed yielding genotypes in this experiment. R-103 (G9), Sekam-Bitter (G4), Nat-1(G8), ICBA-Q5 (G14) and CICA-17 (G12) were the highest yielding genotypes, but were considered the most unstable genotypes. The optimum environment E9 (organic fertilizer, low-N, 2018/19 season) is the most stable based on IPCAe-1 and ASV scores; therefore it is the lowest interactive environment for seed yield/ha, and is considered the ideal one for selection of adapted genotypes under organic fertilizer conditions. The environments E1 (organic fertilizer, high-N, 2017/18 season) showed good discrimination ability and representativeness, making it ideal for evaluating the genotypes of quinoa. Based on GGE-biplot model, Nat-1 (G8) was the winning genotype for the 1st mega environment that consisted of two environments. Sekam-Bitter (G4) was the winning genotype for the 2nd mega environment that consisted of four environments. R-103 (G9) was the winning genotype for the 3rd mega environment that consisted of six environments.
Item Type: | Article |
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Subjects: | STM Academic > Biological Science |
Depositing User: | Unnamed user with email support@stmacademic.com |
Date Deposited: | 23 Nov 2023 06:13 |
Last Modified: | 23 Nov 2023 06:13 |
URI: | http://article.researchpromo.com/id/eprint/1854 |