All experiments were conducted with three replicates, and mean comparisons were performed using Duncan’s test (‘*’ indicates p < 0.05, significant; ‘**’ indicates p < 0.01, highly significant).
Excerpts
The correlation between the number of seeds and the cell width in the middle of the mesocarp was positively correlated (0.57) in CK treatment, while the correlation decreased in A1 and A2 treatments, but it showed extremely significant positive correlation ( p < 0.01) and significant positive correlation ( p < 0.05) under A3 and A4 treatments, respectively.
Specifically, soil CPMI had a highly significant ( p < 0.01) positive correlation with wheat yield, grain and straw nitrogen uptake, cumulative nitrogen use efficiency, protein content, grain sedimentation value, and soil DOC and ROC.
Correlation analysis confirmed that the activity of SOD and catalase (CAT) showed a highly significant positive correlation with growth indicators (r > 0.8, p < 0.01) and a highly significant negative correlation with malondialdehyde (MDA) content (r < −0.8, p < 0.01), indicating that antioxidant defense is the core pathway.
Correlation Analysis of Forage Yield Quality, Soil Physicochemical Properties, and Soil Enzyme Activities Under Different Fertilization Treatments As shown in Figure 5 a, aboveground biomass of artificial grassland exhibited highly significant correlations ( p < 0.01) with soil physicochemical properties and microbial biomass carbon, nitrogen, and phosphorus.
When the p -value was below 0.05, the variances were considered significant (*), and highly significant differences were denoted when p < 0.01 (**). 5.
The needle soluble sugars showed highly significant positive correlations ( p < 0.01) with the root soluble sugars, root starch, root NSCs, and stem starch.
Sources of Variance for Yield Components and Grain Yield of Four Soybean Genotypes Across 13 Environments The combined analysis of variance across thirteen environments revealed highly significant effects ( p < 0.01) for environment (E), genotype (G), and genotype-by-environment interactions (G × E) for all measured traits ( Table 2 ).
Association analysis between three phenotypic traits (DBH, annual height increment, and branch number) and SNPs identified 25 highly significant SNP loci ( p < 0.01).
Our data revealed a highly significant positive correlation between Gs and Tr ( p < 0.01), whereas WUE showed no statistically significant variation among cultivars ( p > 0.05).
Effects of Harvesting Intensity and Recovery Time on Understory Plant Diversity As shown in Table 3 , both harvesting intensity, recovery time, and their interaction had highly significant effects ( p < 0.01) on all four diversity indices: the Shannon–Wiener index, Simpson index, Pielou evenness index, and Margalef richness index.
Effects of Different Degrees of Salinization on Ecosystem Carbon Exchange and Resource Use Efficiency While year and salinization significantly affected NEE ( p < 0.05) without a significant interaction, both factors along with their interaction had highly significant effects on ER and GEP ( p < 0.01, Table 1 ).
TUE, TDW, IP, IPAR, and RUE of Different Ratoon Rice Varieties The treatment and variety, as well as their interactions, had an extremely significant effect on TDW in the ratoon season and the annual period ( Table 2 and Table 3 , p < 0.01).
Interactive Effects of Nitrogen Levels and Growth Stages on Rhizome and Tiller Bud Density of Kentucky Bluegrass Nitrogen addition, phenological stage, and their interaction had highly significant effects on the rhizome bud density, tiller bud density, and total belowground bud density of Kentucky bluegrass ( Figure 2 a–c) ( p < 0.01).
Meanwhile, higher quercetin concentrations (10, 20, and 40 mg L −1 ) had highly significant inhibition effects on the growth of M. aeruginosa at 48 h ( p < 0.01), and the inhibitory rates enhanced over time.
NT, NR and NR×NT had highly significant effects on LAI during the two growing seasons of winter wheat ( p < 0.01) ( Table 2 ), except for that NT and NR × NT had no significant effects at the regreening stage ( p > 0.05). 3.2.
The yield differences were highly significant ( p < 0.01), whereas no significant variation was detected in the brix content.
Table 2 demonstrates that, with the exception of micro-topography exhibiting a significant correlation with SOM ( p < 0.05) and TP showing no significant interaction effect between micro-topography and vegetation type, all other soil nutrient factors exhibited highly significant correlations ( p < 0.01) with both vegetation type and micro-topography.
The Simpson index, Pielou’s index, Shannon index, and Observed_species index between the SS treatment and PFA treatment were extremely significant ( p < 0.01), indicating that the addition of PFA and NACl could significantly change the diversity of fungal communities in the soil, and the application of PFA could significantly increase the diversity of fungi in the community. 2.5.
Correlation analysis of the appearance characteristics of all eggplants tested revealed highly significant positive correlations ( p < 0.01) between fruit calyx thorn, fruit shape index, and transverse diameter ( Figure 5 B).
ANOVA revealed a highly significant difference ( p < 0.01), with landraces exhibiting the highest value (19.98 cm), significantly surpassing all other germplasms, while the other groups belonged to the same statistical category.
Correlation Analysis of Oat Parameters Under Different Microbial Fertilizer Treatments As illustrated in Figure 6 a, 25 pairs of significant ( p < 0.05) or highly significant ( p < 0.01) positive correlations were detected among oat agronomic traits and forage yield.
The correlation analysis showed that there were highly significant correlations among leaf plastochron at the rosette stage and the bud stage ( p < 0.01) with the primary branch number ( p < 0.01) ( Table S2 ).
The coefficients were categorized as follows: highly significant ( p < 0.01), significant (0.01 < p < 0.05), and not significant ( p > 0.05).
MDA showed a highly significant negative correlation with SOD and CAT ( p < 0.01), a significant negative correlation with SS and NR ( p < 0.05), and a significant positive correlation with gallic acid ( p < 0.05).