ANOVA results for drought and heat tolerance indices in CS1 and CS2 indicated highly significant differences ( p < 0.01) among genotypes across all indices.
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The treatments (Vinasse levels) and the interactions are also highly significant ( P < 0.01), confirming that vinasse applications significantly altered trait expression.
In contrast, a highly significant positive correlation was detected between the forest-to-non-forest landscape area ratio and numerical ratio ( r = 0.728, p < 0.01), suggesting a strong consistency in their variation under the socioeconomic production function.
Analysis of variance (ANOVA) All evaluated traits showed highly significant variation across all treatments (P-value < 0.01) (Tables 3 , 4 , and 5 ).
The addition of 10−6 M IAA, GA3, and ZT significantly increased cell density compared to the HAN group ( p ≤ 0.05), with the differences becoming highly significant after 4 days ( p ≤ 0.01).
Differences were considered significant if p < 0.05 and highly significant if p < 0.01.
The t-test of cell viability revealed highly significant ( P ≤ 0.01) differences between nano and micro-calcium carbonate across concentrations at 24, 48, and 72 h intervals.
While no significant difference occurred at t0, from t1 onwards a highly significant increase in FA (p < 0.01) and a decrease in RD (p = 0.01) in Pompe muscles were evident.
Functional analysis of the AMF–plant interaction network in drought resistance Mantel tests revealed a highly significant correlation ( P < 0.01) between soil-borne arbuscular mycorrhizal fungi (S-AMF) and multiple biomass traits in K. hirsuta (Fig. 6 ).
pCASL-MRI The voxel-wise Pearson correlation between pulse wave amplitude maps of FREE-MRI and perfusion-weighted maps of pCASL-MRI were highly significant with a mean correlation coefficient of 0.33 ± 0.09 ( P < 0.01).
The values were considered statistically significant (*) at P < 0.05 and highly significant (**) at P < 0.01.
Significance levels were set as follows: statistically significant (0.01 ≤ * P < 0.05), highly significant (0.001 ≤ ** P < 0.01), and extremely significant (*** P < 0.001).
Mean plasma nitrite concentration as a marker of NO-production 20 was not different for the first 2 days but did show a highly significant increase after 7 days (from baseline 14.2 ± 1.1 μM to 82.3 ± 11.7 μM at 7 days, p < 0.01; figure 1 C ).
This difference was most predominant, and highly significant, in the NaF-EDTA-citrate test group ( p < 0.01).
Primary terms A and C and interaction terms A 2 and B 2 reached extremely significant levels ( P < 0.01), and interaction item C 2 reached significant levels ( P < 0.01).
Indeed, although the p values associated with the correlation analyses are highly significant (all p < 0.01), the r values themselves are small, pointing to small but robust effects that could indicate a relationship with a third variable (e.g. passage of time since commencement of the experiment).
All models were highly significant (p value < 0.01), and predicted the latitudinal distribution of diversity across the Atlantic Ocean with high accuracy, with adjusted r 2 values ranging from 0.42 to 0.77.
Highly significant metabolites were selected to assess differences between biological matrices in control, CKD, and CKD+AST-120 rats (p < 0.01, q < 0.001, maximum intensity > 1500).
Values were considered significant at p < 0.05 or highly significant at p < 0.01.
The results revealed that the mean differences for FaP1A1, FaP2E11 and FaP2D12 were highly significant ( p < 0.01) while FaP2E2 and FaP2E9 was significant ( p < 0.05) ( Table 4 ).
Finding highly significant ( p < 0.01) enrichment of immune system-related (e.g. innate immune response, immune response, adaptive immune response, inflammatory response) and longevity-related (e.g.
The majority of confounding factors did not reach statistical significance in all outcomes ( Supplementary Table S2 ), whereas gender (B = −0.127 (−0.225, −0.026), P = 0.010) and overall methodological quality score (B = −1.006 (−1.808, −0.213), P = 0.012) were significant for the main outcome; the year of publication for the tolerance (B = 0.028 (0.008, 0.049), P = 0.007) was also significant in consistent coefficients model.
A highly significant effect of treatments on CCD1 was observed, with data analysis revealing a substantial interaction effect ( P > 0.01) between genotype and different growth stages (S1 and S2).
Indeed, the study of the reciprocal correlations (Table 7 ) shows a widespread presence of uniformly positive and highly significant relationships ( p < 0.01).
According to the results of the polynomial regression, these correlations between the crop yield and the soil point value is highly significant at * p < 0.01.