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Assessment stability of maize lines yield by GGE-biplot analysis
Author(s) -
Dragan Božović,
Tomislav Živanović,
Vera Popović,
Mladen Tatić,
Zagorka Gospavić,
Zoran Miloradović,
Goran Stanković,
Milorad Djokic
Publication year - 2018
Publication title -
genetika
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.24
H-Index - 15
eISSN - 1820-6069
pISSN - 0534-0012
DOI - 10.2298/gensr1803755b
Subject(s) - ammi , biplot , interaction , grain yield , genotype , gene–environment interaction , total sum of squares , main effect , mathematics , yield (engineering) , zea mays , variance components , explained sum of squares , veterinary medicine , agronomy , statistics , biology , medicine , genetics , physics , least trimmed squares , non linear least squares , gene , thermodynamics
Maize genotypes have varied reactions in different localities, years, treatments or the combination of these factors, due to genotype x year interaction. The objective of this study was to estimate genotype by locality, by year, by treatments (G?L?Y?T) interaction using AMMI model, to identify maize genotypes with stable and high yield performance in different growing seasons. The trials with seven maize lines/genotypes were conducted during two years (2010-2011) at the four treatments and two locations: Pan?evo and Zemun Polje. The results showed that the influence of: genotype (G), locality (L), treatment (T) and G?L, G?T, Y?L, Y?T, L?T, G?Y?T, G?L?T, Y?L?T, G?Y?L?T interaction, on maize yield were significant (p<0.01). The share of genotype for maize grain yield in the total phenotypic variance was 21.16%, the aggregate share of the years and the locality was 6.10%, the treatment was 18.22%, and the total interaction was 54.52%. The AMMI analysis of the main components of IPCA1 and IPCA2 for the interaction of G?L and G?T shows that the first major component, IPCA1, comprises 100% of the sum of the squared interaction G?L and showed a statistically significant effect. The results also show that the sums of the squares of the first and second major components (PC1 and PC2) constitute 100% of the sum of the squared interaction G?L. The IPCA1 share in the G?T interaction was 47.39% and the IPC2 was 37.94%. IPC1 and IPC2 for this interaction was 85.33%. A high level of IPC2 indicates a significant treatment effect. The results of AMI analysis show that there is a significant difference between the genotype reactions to different ecological conditions for investigated factors. It also provided better insight in specific association between maize grain yield, locality, treatment and meteorological variables. Among the tested maize lines/genotypes, L-5, L-4 and L-6 could be separated as highest yielding genotypes, however L-5 could be recommended for further breeding program and in large-scale seed production due to its stable and high yielding performance.

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