The ANOVA analysis revealed a predominant genetic contribution for the SI (47.16%), FL (43.48%), LP (40.46%), FS (36.32%), and FM (36.78%), with highly significant genotypic effects ( p < 0.001).
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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).
Notably, C i exhibited negative correlations with all measured indicators ( r = −0.740 to −0.229), which are significant for Chla, Chlb, and TChl ( p < 0.05), and highly significant for Tr and SSC ( p < 0.001).
The analysis revealed a highly significant inverse correlation ( p < 0.001), indicating that as the number of FHs increased, both the DS and the IT values decreased.
sargentii lacked a correlation between A and g s ( Figure 8 d, p > 0.05), while the other five species all showed a highly significant positive relationship ( Figure 8 a–c,e,f; R 2 = 0.85, p < 0.001 for S. oblate ; R 2 = 0.95, p < 0.001 for H. dulcis ; R 2 = 0.93, p < 0.001 for A. chinensis ; R 2 = 0.54, p < 0.01 for V. rhytidophyllum ; R 2 = 0.73, p < 0.001 for C. trichotomum ).
In addition, both annual mean temperature (BIO1; −1.906 ± 7.515 °C) and mean temperature of the coldest quarter (BIO11; −18.707 ± 10.512 °C) were highly significant predictors ( p < 0.001), emphasizing the limiting effect of extreme cold on species distribution.
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).
Mixed-Effect Analysis Mixed-effects modeling ( Table 4 ) of individual leaf characteristics revealed highly significant baseline levels for the considered variables (intercept p < 0.001), with notable values for intercellular space (271.19) and SLA (101.35), which do indicate leaf developmental stage.
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 ).
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.
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.
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).
The continuous variables (altitude and snow) are both highly significant ( p < 0.001), although with values of different signs.
aequinoctialis , all measured morphological traits showed highly significant differences among genetic clusters ( p < 0.001).
Correlation Coefficient Analysis of Codon Usage Indices It was observed that the CBI showed a highly significant correlation with the CAI and Fop indices in all species ( p < 0.001) ( Figure 5 ).
All regions showed highly significant deviation from the Hardy–Weinberg equilibrium for heterozygote deficits considering the p -value < 0.001.
SP showed highly significant differences ( F 10,22 = 69.800, p < 0.001), with the highest values recorded for BC1, BC2, and BW1.
Unsurprisingly, SDS showed a highly significant and negative correlation with SIS ( r = −0.87, p < 0.001).
The highly significant agreement ( p ≤ 0.001) in ring width variations of radius a and b (i.e., a : b ) and radius a and mean of radii c and d (i.e., a : cd ), as well as mean of radii a and b and c and d (i.e., ab : cd ), are striking ( Figure 4 a–c).
Type of fruit and fruit color interaction are highly significant for glucose concentrations ( p ≤ 0.001) ( Table 5 ).
Only time remained highly significant (χ 2 = 143.277, p < 0.001), with treatment effects showing modest impact (χ 2 = 20.741, p -value = 0.023).
Descriptive Statistics of Diversity Gene diversity ( H j , see Table 1 ) is almost two times higher in the populations of cluster B (mean H j = 0.150 ; sd = 0.025) than in those of cluster A (mean H j = 0.089; sd = 0.026) and the difference in means between the two clusters is highly significant ( T (34 . 5) = 7.076, p < 0.001).
The highly significant F-values for fruit weight and physicochemical features ( p < 0.001) suggested that apple genotypes accounted for a significant proportion of variance in the dependent traits.
Furthermore, genotype variance within the breeding population reached highly significant levels ( p < 0.001), indicating significant notable differences among genotypes within the population.
Overall fitting analysis using partial least squares structural equation modeling (PLS-SEM) ( Figure 7 ) revealed that the characteristic fungal genera had an extremely significant and positive effect ( p < 0.001) on soil available nutrient content, while soil available nutrient content had an extremely significant and positive effect ( p < 0.001) on the tea quality index content.