The difference between the Shannon–Weaner diversity indices, obtained for Chaupisacha (H′) 1.29 ± 0.03 and Reventazón (H′) 1.02 ± 0.005, was highly significant (Student t -test, p < 0.001), with Chaupisacha having a greater number of species and diversity, although the density of orchids in this sector was much lower than in the La Renventazón.
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Finally, the two first axis were also highly significant ( p < 0.001).
The two-way ANOVA indicated highly significant ( p < 0.001) effects of both salinity and the salinity × hormones interaction on shoot and root FW and DW.
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 ).
Variation among populations, 13%, was highly significant ( P < 0.001) ( Table 3 ).
Second, repeated-measures mixed models confirmed that Location, Stage, and Time of day, and all interactions, were highly significant ( p < 0.001).
Among these, length and SA showed a highly significant positive correlation (r = 0.94, p < 0.001) with each other.
In all genotypes, the linear regression between both water indicators was highly significant ( p < 0.001), but not very strong (r 2 ranging from 0.61 to 0.80) ( Supplementary Table S2 ).
The interaction between the main effects was highly significant (Two-way ANOVA Species*Treatment p < 0.001).
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.
We also observed highly significant negative correlations between the RS and the index (−0.96 < r < −0.94, p < 0.001).
There were highly significant ( p < 0.001) variations between genotypes, environments, and their interaction for all yield and yield-related traits studied.
scariosum and statistically highly significant ( p < 0.001) for R. bicknellii ( Table 2 and Table 3 and Table S6c–d in Supplementary file S5 ).
The difference between negative control (untreated adipocytes) and cells that were treated with extracts was highly significant ( p < 0.001).
In the other three species, the trend towards increased diameter was consistently highly significant ( p < 0.001) but less pronounced (R 2 ≈ 0.20).
ANOVA showed a highly significant year effect on yield ( p < 0.001), whereas MG and Year × MG were not significant.
An even stronger relationship was observed between post-anthesis dry matter and post-anthesis N uptake, with highly significant linear correlations in both seasons (0944 ≥ r 2 ≥ 0.918, p < 0.001).
The analysis revealed a highly significant inverse correlation ( p < 0.001), indicating that as the number of FHs increased, both the DS and the IT values decreased.
Restricted Maximum Likelihood Analysis for Yield, Yield Components and Other Agronomic Traits Linear mixed model analysis revealed highly significant ( p ≤ 0.001) differences in plant height, number of total tillers, days to 50% flowering, days to maturity, number of panicles per plant, panicle length, number of filled grains per panicle, one thousand grain weight, and grain yield of screened genotypes under drought stress and irrigated conditions.
For both viruses, highly significant differences were observed among accessions and across evaluation times ( p < 0.001), indicating that both factors had a substantial influence on symptom expression.
The forward selection of these significant factors produced a highly significant ( P < 0.001) model with an adjR 2 of 30% ( Table 3 ). 3.
Seasonal Rh and Its Contribution to Annual Rh A highly significant difference was observed between GS Rh and non-GS Rh, as determined by the Wilcoxon test ( p < 0.001).
Highly significant differences in fine root traits among different soil layers ( p < 0.001) were found, with the CV for fine roots in each layer ranging from 15% to 58.17% and exceeding 10%, indicating substantial variation in fine root distribution across soil layers.
The partition of the confusion matrix between the TN, FN, FP and TP specimens was highly significant ( χ 2 = 228 , p < 0.001 ). 4.3.
All the models were highly significant ( p -value < 0.001), displaying a non-significant lack-of-fit ( p -value > 0.05) that indicated a good fit.