For instance, highly significant distinctions were observed between P. japonicus and p. ginseng , as well as between P. japonicus and P. quinquefolius (KS test, p < 0.001; Table 1 ).
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One-way ANOVA revealed highly significant differences in herbivory rates among sites ( F 4,95 = 13.4; p < 0.001).
In the fungal community ( Figure 6 b), Glomeromycota showed a highly significant negative correlation with TK (blue, p < 0.001), representing the strongest correlation among all fungal phyla, indicating that TK content exerts a strong regulatory effect on the distribution of this group.
The highly significant positive correlation between soil total carbon and organic carbon (r = 0.93, p < 0.001) suggests that organic carbon accounts for over 85% of the soil carbon pool, contributing to enhanced soil aggregate stability through cementation.
Additionally, Vicinamibacteraceae exhibited a highly significant positive association with RB4 1 (r = 0.798, p < 0.001), implying shared ecological strategies that may stabilize soil microbial communities under similar environmental conditions.
Analysis of variance revealed that both the main effects and the interaction between 6-BA and NAA concentrations on the callus induction rate were highly significant ( p < 0.001), with 6-BA exerting the most substantial influence (F = 69.969, p < 0.001).
According to Figure 4 c, TK, AK, SOC had highly significant negative effects on fungi community ( p < 0.001), whereas capacity, Slope, AP, AN, and Canopy demonstrated highly significant positive impacts ( p < 0.001).
Analysis of variance (ANOVA) indicated that there was a highly significant difference between and within both temperature isolates (16 °C and 22 °C), and among overall isolates ( p < 0.001).
Analysis of Variance The ANOVA results for mean square values showed highly significant differences ( p ≥ 0.001) among genotypes for all destructively measured morpho-physiological traits and SRIs in each season and combined two seasons ( Table 1 ).
Two-way ANOVA confirmed highly significant effects of salinity (S) and priming agent (PA) × S interactions on all germination parameters, including MFG, GRI, GSTI, and GR (green shading: p < 0.001; Table 2 ).
Particularly noteworthy is the highly significant genotype × location interaction ( p < 0.001), which underscores that genotypic performance is heavily context-dependent and that success in one location does not necessarily translate to broader adaptability.
Statistical significance was defined as follows: p < 0.05 (significant), p < 0.01 (highly significant), and p < 0.001 (very highly significant). 5.
Further analysis of the year-to-year CT variation in Kentville revealed that year had a marginal effect on extractable CT levels ( p = 0.057), while genotype remained a highly significant factor ( p < 0.001), and no significant year × genotype interaction was observed ( p = 0.910) ( Table 1 ).
The models retained high explanatory power, with pseudo R 2 values of 47.19% for daytime and 43.47% for nighttime, and highly significant likelihood ratio tests ( p < 0.001).
Interestingly, root N concentration (RNC) and nodule N concentration (NNC) exhibited a highly significant negative correlation ( p < 0.001) during both the V9 and R5 periods ( Figure 8 c,d). 3.
Among microbial factors, Actinobacteria and Acidobacteriae each showed highly significant positive effects ( p < 0.001 or p < 0.01), whereas Verrucomicrobiae had a significant negative effect ( p < 0.05).
arvensis GLMM with binomial dependent variable (capsules obtained 0 seeds or non-zero seeds) showed that the treatment effect was highly significant with (estimate = 1.44, χ 2 = 58.2, df = 1, p < 0.001, Figure 3 ).
Baseline PSQI scores were comparable between groups, but the intervention group showed significantly greater improvements thereafter, with mean PSQI decreasing to 8.60 ± 2.28 at week 1 and 5.20 ± 1.87 at week 2, compared with 11.08 ± 2.73 and 10.68 ± 2.88 in controls at the same time points, respectively, indicating a marked, time-dependent improvement in subjective sleep quality with between-group differences reported as highly significant ( p < 0.001) [ 134 ].
Among the agronomic traits, the plant height, stem diameter, and leaf number exhibited a highly significant positive correlation with fresh herbage yield ( p < 0.001), with the correlation coefficients exceeding 0.8.
The findings ( Figure 5 ) indicated highly significant negative correlations ( p < 0.001) between PEG-6000 concentrations and shoot dry biomass, Cd concentration in roots and shoots, and Cd accumulation in roots, shoots, and entire plants.
Variance Analysis for Yields The combined analysis of variance ( Table 1 ) revealed highly significant differences ( p ≤ 0.001, p ≤ 0.01) for yield per plot among different factors: locations, genotypes, and the genotype–location (G × E) interaction.
All regions showed highly significant deviation from the Hardy–Weinberg equilibrium for heterozygote deficits considering the p -value < 0.001.
Analysis of variance revealed a highly significant effect ( p < 0.001) of stress treatments and genotypes for all the traits.
In this way, the validity of the models was evaluated using independent samples in the discriminant models and was found to be highly significant ( p < 0.001).
Heterogeneity and Moderation Analysis under Drought and Salinity Stress The effect sizes for parameters under stress conditions ( Table 1 ) show highly significant Q statistic p -values ( p < 0.001), indicating heterogeneity primarily due to study differences, as evidenced by the I 2 statistics.