In Chardonnay, NDVI exhibited a strong and highly significant negative correlation with °Brix in 2023 (r = −0.86; R 2 = 0.74; p < 0.001), indicating that low-vigor vines accumulated higher soluble solids at harvest.
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Results There was a highly significant effect ( p < 0.001) of genotype (G) and environment (E) on all morphological traits of wheat plants ( Table 2 ).
The Welch ANOVA results revealed highly significant differences ( p < 0.001) in the three main phenological dimensions and in bud dormancy (EF010), confirming that each phenological module responds differently to local environmental conditions.
Response of Four Cereals to a Combination of HexaFrassTM and Biochar In the trials investigating how HF and biochar might interact in their effects on plant growth, adding 4 g of HF per pot had highly significant effects (F 1,28 > 60; p < 0.001) on the shoot dwt of all four cereal species ( Figure 3 ).
A Kruskal–Wallis test revealed a highly significant effect of response type on both total embryo counts (H = 37.68, p < 0.001) and the number of embryogenic explants (H = 37.43, p < 0.001).
Variance Analysis for Yields The combined analysis of variance ( Table 1 ) revealed highly significant differences ( p ≤ 0.001, p ≤ 0.01) for yield per plot among different factors: locations, genotypes, and the genotype–location (G × E) interaction.
The results revealed highly significant differences ( p < 0.001) among sensors for all three climatic variables, confirming the presence of pronounced spatial heterogeneity within the greenhouse.
roseus had highly significant positive correlations ( p < 0.001) with each other ( Figure 6 ).
Two-way ANOVA revealed highly significant main effects of strain, salinity level, and their interaction on all germination-related variables ( p < 0.001, Figure 2 ).
The findings ( Figure 5 ) indicated highly significant negative correlations ( p < 0.001) between PEG-6000 concentrations and shoot dry biomass, Cd concentration in roots and shoots, and Cd accumulation in roots, shoots, and entire plants.
Analysis of variance revealed that both the main effects and the interaction between 6-BA and NAA concentrations on the callus induction rate were highly significant ( p < 0.001), with 6-BA exerting the most substantial influence (F = 69.969, p < 0.001).
The line × N rate interaction for NUE was not significant in the greenhouse ( p = 0.854) but was highly significant in the hoop house ( p < 0.001).
Two-way ANOVA revealed highly significant main effects of both the alginate type (F(1.8) = 41.62, p < 0.001) and water matrix (F(1.8) = 28.81, p < 0.001), with no significant interaction between factors (F(1.8) = 2.65, p = 0.143).
With regards to the variability of factor B (cultivar), all the differences between the variables were highly significant ( p ≤ 0.001).
Interestingly, root N concentration (RNC) and nodule N concentration (NNC) exhibited a highly significant negative correlation ( p < 0.001) during both the V9 and R5 periods ( Figure 8 c,d). 3.
From Figure 8 , it can be concluded that in April 2022, the number of female cones had a significant negative correlation with the K content in November 2021 ( p < 0.05, r = −0.46), a very significant negative correlation with the N content in July 2022 ( p < 0.01, r = −0.51), a significant negative correlation with the K content in July 2022 ( p < 0.05, r = −0.40), a significant positive correlation with the C:N ratio in July 2022 ( p < 0.05, r = 0.38), and an extremely significant negative correlation with the K content in November 2022 ( p < 0.001, r = −0.62).
In the fungal community ( Figure 6 b), Glomeromycota showed a highly significant negative correlation with TK (blue, p < 0.001), representing the strongest correlation among all fungal phyla, indicating that TK content exerts a strong regulatory effect on the distribution of this group.
In detail, variables such as Fv/Fm, RWC, proline, and total chlorophyll stand out as having a highly significant p < 0.001 value for the factor interaction, while irrigation and fungal inoculation strongly influenced significant changes in the growth traits (height, DHN, and shoot and root biomass). 2.2.
The model explains 40.2% of the variation in the disease index (R 2 = 0.402) and the highly significant F-value (F = 425.259, p < 0.001) indicates that the regression model as a whole is very effective.
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).
ANOVA across multiple environments revealed highly significant effects ( p ≤ 0.001) of genotype (G), environment, and genotype × environment (G × E) interactions on both GPC and WGC ( Table A3 ).
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.
As EI was calculated with S values for the four observation dates, it yielded a better correlation with the global I*S index (r = 0.88) than Sy < V (r = 0.77), although both were highly significant ( p < 0.001); the same occurred when the analysis was carried out with S and I separately.
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 ).
The yearly average air temperature (ATY) has a highly significant ( p -value ≤ 0,001) negative regression with DOY15 (R 2 = 0.731; −5.304 d °C −1 ) and DOY20 (R 2 = 0.709; −5.6081 d °C −1 ) and at a lower level (0.01 ≥ p -value > 0,001) with TA (R 2 = 0.456; −1.1891 g L −1 °C −1 ).