In contrast to the non-treated MCF-7 cells that were not undergoing apoptosis, the ∆∆Ct mean of the Casp-1 gene was much lower compared to both doses of the MMBL and to Doxorubicin; it was statistically highly significant ( p < 0.001).
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Salt stress intensity exerted a highly significant effect on leaf area index (LAI) ( p < 0.001), whereas neither cultivar nor its interaction with salt showed a significant impact ( Figure 2 b).
Genotype and Environmental Variance The analysis of variance showed highly significant effects ( p < 0.001) of genotype, environment, and environment by genotype interaction on grain yield, Fe, and Zn under both N conditions across environments ( Supplementary Tables S1 and S2 ). 2.2.
The model explains 40.2% of the variation in the disease index (R 2 = 0.402) and the highly significant F-value (F = 425.259, p < 0.001) indicates that the regression model as a whole is very effective.
The results revealed a highly significant positive correlation ( p < 0.001) among SH, BD, and SL, while a significant positive correlation ( p < 0.05) was observed between SR and indicators such as SH and SL ( Figure 1 A).
The continuous variables (altitude and snow) are both highly significant ( p < 0.001), although with values of different signs.
Unsurprisingly, SDS showed a highly significant and negative correlation with SIS ( r = −0.87, p < 0.001).
Effects of Rice–Crayfish Co-Culture Systems on Soil Physicochemical Properties Two-way ANOVA revealed that both growth stage and treatment had highly significant effects ( p < 0.001) on soil moisture content (MC), soil porosity (SP), bulk density (BD), and soil organic carbon (SOC).
Two-way ANOVA revealed highly significant main effects of both the alginate type (F(1.8) = 41.62, p < 0.001) and water matrix (F(1.8) = 28.81, p < 0.001), with no significant interaction between factors (F(1.8) = 2.65, p = 0.143).
Analysis of variance revealed a highly significant effect ( p < 0.001) of stress treatments and genotypes for all the traits.
The system × hormone × retardant interaction was highly significant (F = 3.31) ( p < 0.001), indicating that the effect of hormones or retardants cannot be evaluated in isolation: no single factor could predict plant height without considering the others.
The mixed-model ANOVA revealed highly significant main effects of season ( p < 0.001, p 2 = 0.207) and treatment ( p < 0.001, p 2 = 0.109) on the plant colorimetric index, whereas species had no significant effect ( p = 0.210).
A highly significant genotype × treatment interaction ( p < 0.001) indicated marked variation in drought sensitivity among genotypes.
A highly significant main effect of treatment was also observed (F 4,186 = 8.40, p < 0.001), indicating that mT concentration strongly influenced shoot proliferation.
Two-way ANOVA revealed highly significant main effects of strain, salinity level, and their interaction on all germination-related variables ( p < 0.001, Figure 2 ).
We found a highly significant effect of year on the aboveground biomass ( p < 0.001), which may be related to differences in temperature and precipitation among the years.
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 ).
Both A1 and A2 treatments significantly outperformed the control (CK), with increases in aboveground biomass highly significant ( p < 0.001; Figure 2 a).
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).
aequinoctialis , all measured morphological traits showed highly significant differences among genetic clusters ( p < 0.001).
roseus had highly significant positive correlations ( p < 0.001) with each other ( Figure 6 ).
The results revealed highly significant differences ( p < 0.001) among sensors for all three climatic variables, confirming the presence of pronounced spatial heterogeneity within the greenhouse.
Comprehensive Analysis of Rice Yield and Its Components, Growth Index, and Topsoil Properties The further linear regression analysis on a logarithmic scale showed that effective panicles ( Figure 5 a) had a highly significant positive effect on the yield ( p < 0.001) and the seed setting rate ( Figure 5 c) had a significant positive effect on the yield ( p < 0.05), while the filled grain number per panicle and 1000-grain weight ( Figure 5 b,d) had no significant effects on the yield ( p > 0.05).
Alt displayed the greatest resistance to desiccation, losing only 19% of its fresh weight, compared to 37% for CW and 46% for RB ( Figure 1 A): a consequence of the highly significant ( p < 0.001) cultivar by desiccation period interaction on fresh-weight loss.
The results show that for most dimensional parameters and occlusion levels, the differences were statistically significant ( p < 0.05) or highly significant ( p < 0.001).