The data were analyzed using SPSS 27.0 software (IBM, Chicago, IL, USA). Data were normalized and subjected to a homogeneity test. One-way analysis of variance was then conducted for comparison of the multiple groups, followed by Duncan’s multiple range test for pairwise comparison (p < 0.05). Relationships of the biomass and Se content between the monoculture and intercropping treatments were evaluated using regression analysis. Pearson’s correlation analysis was conducted to determine the correlations among the different indicators of each plant. Grey relational analysis was performed to explore the relationships of the different indicators with the shoot Se content of each plant as described by Wang (2019) [48 (link)] and Zhang et al. (2023) [49 (link)].
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