Excerpts

Additionally, the limonin contents in the fruits during the four periods reached an extremely significant level of difference ( p < 0.01). 2.2.

Furthermore, Y and PFPN exhibited a highly significant positive correlation only under Y3 and Y4 ( p < 0.01).

When analyzed by coumarin subtype ( Figure 2 B), both total coumarins and total pyranocoumarins showed progressive increases from Pp1y to Pp3y, with highly significant differences between groups ( p < 0.01 or p < 0.001).

Genetic Variation Analysis of variance revealed highly significant differences ( p < 0.01) among hybrids and among block × hybrid interactions for tree height, DBH, and individual stem volume in all assessment years.

In addition, pH had highly significant negative correlations with NO 3 − -N and TN ( p < 0.01).

This is consistent with the difference in the INFC, and the difference among combinations was highly significant ( p < 0.01).

As shown in Figure 9 , the analysis revealed that the leaf Pro content, leaf MDA content, root MDA content, root H 2 O 2 content, root POD activity, leaf CAT activity, root CAT activity, leaf MeJA content, and root MeJA content exhibited a highly significant positive correlation with the WUE ( p < 0.01).

There were highly significant differences in annual DMY between various years and between P fertilization levels ( p < 0.01).

Effects of Cattle Manure–Mineral Fertiliser Co-Fertilisation, and AMF Inoculation on Growth Attributes of Amaranthus Highly significant differences ( p < 0.01) were observed in plant height, number of leaves, stem girth, and root length due to the co-application of cattle manure and mineral fertiliser coupled with AMF inoculation across the cropping seasons ( Table 1 ). 2.1.1.

In green light, the expression level of CiPlant-CRY1 generally showed a trend of first increasing and then decreasing, and reached a maximum level of 11.605 at 12 h, which was significantly higher than other experimental groups ( p < 0.01).

Analysis of Variance (ANOVA) The analysis of variance for all measured traits revealed highly significant genotypic (G) and Genotype × environment (G × T) variations ( p ≤ 0.01), indicating substantial genetic variability among the tested wheat genotypes ( Table 2 ).

Analysis of variance indicated that all examined macro- and microelements were highly significant ( p < 0.01).

Because soil AN exhibited a highly significant correlation ( p < 0.01) with AP, pH, EC, and SUC, AN was selected for the MDS.

There was a significant positive correlation ( p < 0.05) between EC and SOC, as well as a highly significant positive correlation ( p < 0.01) between EC and STN.

Relationship Between Yield and N, P, and K Accumulation and Utilization in Dryland Wheat As shown in Figure 4 , wheat yield showed highly significant positive correlations ( p < 0.01) with N, P, and K accumulation, as well as with multiple nutrient efficiency indices.

Highly significant positive correlations ( p ≤ 0.01) were found between the following trait pairs: DBH and GD; DBH and RL; RL and LN; RL and LW; LL and LW; LL and LWR; LL and LA; and LW and LA.

SO 4 2− and Cd showed highly significant associations ( p < 0.01), suggesting that these factors play a key role in shaping microbial structure ( Figure 5 A).

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).

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.

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.

However, there were significant negative correlations with fatty acid ( p ≤ 0.05, r = −0.518) and flavone ( p ≤ 0.05, p ≤ 0.05, r = −0.487), and a highly significant negative relationship with reducing sugar ( p ≤ 0.01, r = −0.697), ECI ( p ≤ 0.01, r = −0.792), and ECD ( p ≤ 0.01, r = −0.819).

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.

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 differences in these physiological indicators were highly significant (all p < 0.01). 2.3.

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.