2.5 Correlation Under drought stress at the vegetative stage, the percent reduction in SDW (%R_SDW) had a highly significant (p ≤ 0.01) negative correlation with WU, SDW, WUE, RDW, CRN, and CRPT.
Excerpts
Additionally, the interaction between genotype and environment (G × E) and environmental variance were also highly significant (P< 0.01) across all environments analyzed ( Zhang et al., 2022 ). 2.2 Population structure, kinship, and linkage disequilibrium (LD) We obtained high-quality datasets after filtering, and the average missing rates were 0.073, 0.069, and 0.070 for SNPs from DArT, GBS and the combination of GBS and DArT (GBS - DArT) ( Table 1 ).
Under PE mulching, the SWC showed a positively correlated with Pn and DM, with a highly significant correlation with Pn (P ≤ 0.01).
In addition, according to the ANOVA results ( Table 2 ), the effects of different treatment stages (S), different low-temperature intensities (T), and their interactions (T×S) on the content and accumulation of mineral components in grains were highly significant ( p < 0.01). 3.3.
Capital letters indicate an extremely significant difference, p < 0.01.
This study demonstrated that citrus fruit quality was predominantly influenced by intercropping duration (years), key soil properties (pH and available potassium, AK), and specific soil microbial taxa ( Ascomycota , Acidobacteriota , and Proteobacteria ), exhibiting highly significant strong correlations (| ρ | ≥ 0.8, p < 0.01). 4 Discussion Cropping systems significantly influence orchard soil ecosystems by altering physical characteristics, chemical properties, and microbial communities—factors critically determining crop performance and quality ( Wang T. et al., 2022 ; Li C. et al., 2023 ; Duan et al., 2024 ).
LAI exhibited a highly significant correlation with OSR in the wavelength ranges of 454–702 nm and 718–950 nm ( p< 0.01), with a particularly strong correlation observed at 750–922 nm ( Figure 4A ).
The findings demonstrated that stress duration and increasing PEG concentration had a highly significant impact on the growth traits of European birch seedlings (p<0.01); With increasing stress concentration and stress time, antioxidant enzyme activity, membrane lipid peroxidation, and osmoregulatory substance concentrations increased significantly (p<0.01); With increasing stress concentration and du
Spearman’s rank correlation coefficient For different stand ages, the correlation coefficients tended to decrease with increasing stand age, but in general the correlation coefficients were greater than 0.5 and highly significant (P<0.01).
SFW had extremely significant positive correlations with TD and VD of fruits ( P <0.01).
In addition, highly significant positive correlations (p < 0.01) were found between OR and SWT (r = 0.998), OR and NBV (r = 0.992), OR and NSV (r = 0.978), OR and TV (r = 0.996), OR and ASVA (r = 0.926), OR and Lignin (r = 0.987), SWT and NBV (r = 0.992), SWT and NSV (r = 0.986), SWT and TV (r = 0.996), SWT and ASVA (r = 0.935),
The results confirmed highly significant differences ( P < 0.01) between the genotypes (G), between treatments (normal and heat stress), and in the genotypes (G) × treatment (T) interaction for pollen viability.
epigeios in 2018 and 2019, all differences between the two treatments reached a significant ( P < 0.05) or extremely significant ( P < 0.01) level.
The ANOVA revealed that the difference in chlorophyll content between parents in most stages/environments was statistically ( P < 0.05) and highly significant ( P < 0.01).
The Hap1 and Hap2 of Glyma.01G005900 in different years of ELS( P =0.0039) and ELT ( P =0.039)showed extremely significant differences (P<0.01).
Results NSC concentrations and composition in different treatments In the leaves, WD caused a highly significant decrease in soluble sugar concentration of 15.3% compared to CT ( p < 0.01), with no significant effect of W or D alone ( Figure 2A ).
Correspondingly, we uncovered five highly significant correlations (all p -values < 0.01).
Surprisingly, SbGATA11 showed an extraordinarily significant positive correlation with all genes (p<0.01) except SbGATA15 ( Figure 8B ).
A highly significant positive correlation was observed between amino acids and chemical characteristics ( R = 0.931, p < 0.01), while a negative correlation with salt stress was also found ( R = − 0.915).
Differences in root morphological traits across root orders Root order had an extremely significant effect on the average diameter, SRL, SSA, and RTD of T. chinensis fine roots ( p < 0.01; Supplementary Table 2 ).
MDA had a significant positive correlation with topological index ( P< 0.05), significant negative correlation with total root length, total root surface area and root forks ( P< 0.05), and extremely significant negative correlation with fractal abundance and root tips ( P < 0.01).
The significance levels were highly significant ( P <0.01) and significant ( P <0.05).
Highly significant positive correlations were observed between C a and C i , as well as between C a , C i and carbon metabolism-related DEGs ( p <0.01) ( Figure 5B (a, b)).
Statistical analysis was carried out using one way ANOVA that identified significant difference between the samples, with significant ( p < 0.05), highly significant ( p < 0.01) and very highly significant ( p < 0.001).
The correlation coefficients of coleoptile length among environments were highly significant and ranged from 0.23 to 0.96 ( P < 0.01), which also indicated that coleoptile length was affected by the environment.