You can try downloading and installing the latest version available of this product. Conversely, mutants 47 and 50 were more variable, but high yielding. A 3 Mutant 10 Selected mutant lines after seed-irradiation Co60 - 4 Mutant 45 gamma source of the commercial cultivar Giza 24 5 Mutant 47 Faculty of Agric. Homogeneity of variance tests indicated homogeneous error variance for seed yield per plot in each of the 2 location—year environments and allowed for a combined, across environment analysis to be performed. Genotype x environment interactions for tea yields.
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An environment is more desirable if it is located closer to the ideal environment. Figure 5 revealed that mutants 10 and 47, which fell into the center of concentric circles, were ideal genotypes in terms of higher yielding ability and stability, compared with the rest of the genotypes.
Genotypes Shandaweel 3, mutants No.
IRRISTAT for windows [1997]
These sesame genotypes included two local cultivars, and five promising mutant lines originated by selection through a previous breeding program. Genotypes with above-average means i.
GGE-biplot analysis of yield data of irrisyat sesame genotypes tested across six environments. The highly significant interactions indicate that genotypes need to be tested in several years and locations in order to select stable sesame genotypes in Egypt. Principal components axis PCA model. However, the prediction assessment indicated that AMMI irrishat only two interaction principal component axes was the best predictive model Zobel et al.
However, the correlation coefficient, between Eberhart and Russell's coefficient of regression parameter bi was negatively correlated with deviation parameter S di2and irrustat of determination ri 2. Yield performance and stability of genotypes were evaluated by an average environment coordination AEC method Yan, and Yan and Hunt, The length of the average environment vector the distance from biplot origin and the average environment markerrelative to the biplot size, is a measure of the Average environment Stable Unstable Lower yielding Higher yielding relative importance of genotype main effect vs.
Phenotypic stability of yield and yield attributes in sesame, Sesamum indicum L. Figure 1 shows the genotype regression coefficients plotted against the means of seed yield.
In addition, mutants 50 and 56, located on the next concentric circle, may be regarded as desirable genotypes. Statistical analyses of multilocation trials.
The mutants 50 and 45 presented a great adaptation to conditions in E4 and E6, because they are the nearest irridtat the biplot. Send feedback FAQ Users. Both procedures were positively correlated with mean yield. Unfavorable environment Figure 6. Many studies have applied both multivariate and univariate techniques and these methods have been useful for identifying stable and adapted genotypes Hohls, ; Laurentin and Montilla, ; John et al.
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The use of transformations. The positive interaction corresponded to the mutants, 10, 45 and 50 under the environmental conditions in E4, E5 and E6, while the negative interactions corresponded to Toshka 1 and Shandaweel 3 irristst E4, E5 and E6. Combined analysis of variance of yield data of seven sesame genotypes tested across six environments.
Such an ideal environment is represented by an arrow pointing to it Figure 6.
How can I solve this problem because I can't enter the data in Irristat? The relationship between the mean and stability deviation for seven sesame genotypes. AMMI analysis of yield data of seven sesame genotypes tested across six environments. On the other hand, genotypic stability is quite crucial, in addition to genotype yield mean. Plant breeders usually agree about the importance of high production stability, but not necessarily about the appropriate definition of stability.
Source of variation d.
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Questions Ask a Question. There are multivariate methods for the study of phenotypic stability, including AMMI as discussed by CrossaZobel et al. The most stable genotypes as indicated by this stability parameter were mutant 56, Shandaweel 3, mutant 45 and Toshka 1. Cultivar evaluation and mega-environment investigation based on the GGE biplot.
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