The blue module exhibited a highly significant positive correlation with ASA ( P < 0.001) and significant correlations with Pro and H 2 O 2 , while the turquoise module showed significant negative correlations with ASA and H 2 O 2 ( P < 0.001) and Pro ( P < 0.01).
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Year, cultivar, and their interaction were highly significant ( P < 0.001) and explained much of the variance of most of the traits.
PERMANOVA further revealed highly significant differences in community structure among treatments ( R2 = 0.6858, P = 0.001).
Cultivar variation and drought stress effects for the 34 S-proteins were also highly significant ( P < 0.001) ( Table 1 ).
The sowing time × cultivar interaction was highly significant in 2022 ( F = 13.9, p < 0.001) and 2024 ( F = 6.9, p < 0.001), but was weaker in 2023 ( p = 0.049).
Pairwise Bray–Curtis dissimilarity comparisons further confirmed this distinction, indicating highly significant compositional differences between the dysbiotic and native rhizospheres (p < 0.001; Supplementary File: Figure S1C ).
The genotypes showed very highly significant differences ( p< 0.001) was measured in each and across environments at all growth stages.
Notably, the wrinkled seed phenotype exhibited a highly significant (p < 0.001) negative correlation with starch content (r = -0.71, Table 4 ).
ANOVA confirmed that treatment effects were highly significant ( p < 0.001, LSD 0.05 = 4.42).
(2025) showed that there was a highly significant difference between the genotypic variance of leaf-related traits and the genotypic × environmental interaction variance ( P < 0.001), with broad-sense heritabilities ranging from 0.73 to 0.80. 4.2.
There was a highly significant difference in cell length between the developmental phases ( X 2 = 234.44; d.f. 2; p < 0.001), which a posthoc Dunn test indicated was significant between each developmental phase (p < 0.001).
Organic matter and organic carbon served as primary components, with a highly significant path coefficient of 0.930 ( P< 0.001) indicating strong support for macro elements.
For the three pigment classes, highly significant [ p < 0.001] treatment, genotype and treatment × genotype interaction effects were found.
Results In this study, the genetic correlations between female flowering (FF) and male flowering (MF) remained consistent across all environments ( Figure 2 ) with a positive correlation (r > 0.82) and highly significant (p<0.001).
TCD was the sole, highly significant negative driver (β = -0.22, P < 0.001), and stand density also had a significant suppressive effect (β = -0.06, P = 0.001).
Moreover, a highly significant difference in seedling dry weight was observed among the treatments (p ≤ 0.001;*).
The graph ( Figure 7 ) comparing total yield per 3m2 across different treatments over two seasons revealed highly significant differences (p < 0.001).
Results and discussion Bioactive compounds Analysis of variance revealed highly significant differences (p<0.001) among the 21 highbush blueberry cultivars for all measured phytochemical parameters, demonstrating substantial genetic variation within commercial germplasm.
Habitat has a highly significant influence on N residue ( P < 0.001; Figures 2B , 3C, D ).
Notably, there was a highly significant linear relationship between zinc content in the dry matter of straw (r=0.805, p=<0.001) and milled rice (r=0.726, p=<0.001) with grain yield ( Figure 5 ).
Results Agronomical and physiological traits For SM2, KS and TKW the genotype x environment (GxE) interaction was highly significant ( P < 0.001) in both growing seasons, whereas for GY, PH, and KM2 was only in one growing season (Table 1 ).
Thirdly, correlations that were highly significant ( P -value < 0.001) and with Spearman’s rho >0.5 and <-0.5 were considered to be correlated and selected for network analysis.
The high coefficient of determination (R2 = 0.98), highly significant p-value (p <0.001), low Root Mean Square Error (RMSE = 0.90 kg m - 2), and high Modeling Efficiency (EF = 0.98) collectively demonstrate an excellent model fit for the calibration dataset.
Notably, pH showed highly significant negative correlations with TN, AN, OM, Acp, Sa, B/F-a, and B/F/Ar-s ( p < 0.001).
This was followed by correlation analysis between the allele frequencies obtained from individual genotype sequencing and PoolSeq, which revealed a highly significant correlation (r > 0.95; P < 0.001) between them.