The combined ANOVA in the present study showed highly significant (P < 0.001) differences among sorghum genotypes, test environments, and G×E effects.
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Interaction effects on leaf chlorophyll content Highly significant (p < 0.001) differences between P rates were recorded in chlorophyll content of plants.
Negative correlations between salinity and DO were highly significant (R = −0.273, p < 0.001) ( Table 5 ). 4.
Based on the order of priority: biophysical drivers such as water stress, weeds, insect pest, and disease, over flooding, and low soil fertility was highly significant (P ≤ 0.001) among four yield groups in Table 4 .
There was a highly significant and negative effect of the ring width logarithm on Ca ( p < 0.001, ***, Fig. 4 d) and wider rings had lower Ca concentrations.
Effect of inorganic TSP and organic fertilizers on number of nodules (NN) and hundred seed weight (HSW) The interaction effect between TSP levels and organic fertilizer on the mean NN and HSW of common beans was highly significant (p ≤ 0.001) at all sites ( Table 3 ).
3 Results and discussion 3.1 The effect of fungicide rates on disease severity There was a highly significant difference (P < 0.001) between the treatments for disease severity starting from the 3rd data scoring.
In the AMMI ANOVA the main effects of the environment (E) (54.18 % SS), genotype (G) (16.9 % SS) and GEI (23.50 % SS) were highly significant (p < 0.001).
3 Results and discussion 3.1 Physicochemical properties of organic amendments There were highly significant (P < 0.001) differences among all physical and chemical properties of the organic amendments.
The accessions were classified into 3 groups by the hierarchical ascending classification showing a very important variability among cultivars with very highly significant (P < 0.001) or highly significant (P < 0.01) differences.
However, when the level of α-HBDH increased, the correlation between α-HBDH and in-hospital mortality showed an increasing trend ( P < 0.001).
As compared to the dexamethasone control group, there was a highly significant drop in the fasting blood glucose levels in the groups treated with metformin, curcumin, and curcumin NPS (P < 0.001).
This difference was statistically highly significant (p < 0.001).
ROC curve analysis determined a highly significant diagnostic performance to distinguish between healthy controls and metastatic prostate cancer patients with an AUC of 0.94, a CI between 0.84-1 and a p -value < 0.001 ( Figure 6 C, black curve).
3.3 Correlation analysis Spearman rank correlation revealed highly significant associations between self-reported bench press maximum weight and initial performance during CB-tDCS (r s = 0.842, p < 0.001, z = 1.228) and SH-tDCS (r s = 0.827, p < 0.001, z = 1.179).
prostrata showed a highly significant antioxidative potential 92.0 ± 1.1 with an IC50 of 62.5 mg/mL (p < 0.001) whereas C. burhia found to possess significant antioxidant potential 48.2 ± 1.7 with an IC50 of 5 mg/mL (p < 0.05) at the higher concentration of 5 mg/mL ( Table 3 ). 3.4.
All LLRs were extremely significant ( p < 0.001) with the most coefficients of determination values. 3.4.
Highly significant differences were observed in the mean FS and DC values (F = 673.043, p < 0.001 and F (=782.4, p < 0.0001), respectively.
All the four tests (Wilks' lambda, Pillai's trace, Lawley-Hotelling trace and Roy's largest root) were highly significant (p < 0.001).
Statistically, a highly significant correlation ( p < 0.001) was observed for all LWRs with the r 2 values ≥ 0.975.
The differences of total extractives content between the two species were not statistically significant ( P = 0.254) but the site had a highly significant effect ( P < 0.001) with the trees of both species of site 2 being different from those of sites 1 and 3.
As indicated in Table 1 , the comparison between the four groups was statistically highly significant (p < 0.001).
The results were considered statistically significant if p < 0.05, more significant if p < 0.01, and highly significant if p < 0.001 as compared with the background group.
Additionally, a highly significant negative correlation (r = −0.87, p < 0.001) exists between clay and silt fractions.
Result The ANOVA results for thirteen agronomic and yield contributing traits analyzed revealed a highly significant (p < 0.001) variation among the varieties indicating substantial genetic diversity within the studied varieties ( Table 1 ). 3.1.