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Statistical differences among groups were evaluated by analysis of variance (ANOVA), followed by Duncan's multiple range tests.
Differences among the groups were evaluated by analysis of variance (ANOVA) followed by Duncan's multiple range tests.
The Duncan's multiple range tests are used to analyze the difference between the means of a set of observations.
Collected data were analyzed using SAS statistics software and Duncan's multiple range tests were used to compare the treatments means.
Duncan's multiple range tests showed that the ecotypes of garlic were significantly different in all evaluated parameters.
Duncan multiple range tests.
The P values were calculated by Duncan's multiple range tests.
Comparison of means was carried out by Duncan's multiple range tests (Steel and Torrie 1980).
The statistical analysis was performed by Duncan's multiple range tests (Duncan 1955).
A means comparison was carried out by Duncan's multiple range tests.
Different letters show a significant difference at p < 0.05 as determined by Duncan's multiple range tests.
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