Barely Significant

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highly significantp < 0.0010.0× alphaqualifiedgold
One-way ANOVA results in Table 17 reveal highly significant differences across methods (F-statistics 156.92–312.45, all p < 0.001, η 2 = 0.82–0.91), with Tukey HSD post-hoc tests confirming the proposed method’s superiority over all baselines.
highly significantp < 0.0010.0× alphaqualifiedgold
Our primary model of interest (see “Model 1” in “ Statistical analyses ”) on the cooperation scores revealed a highly significant impact of SVO on cooperation (F (1,149) = 20.222, p < 0.001), a significant main effect of the inductions (F (2,149) = 3.785, p = 0.0.025), and a significant interaction between SVO and the inductions (F (2,149) = 5.482, p = 0.005) (the model estimates are plotted in Fig. 4 ).
highly significantP < 0.0010.0× alphaqualifiedgold
Correlation among pod set, yield and nut quality traits of BUNSO progeny crosses Highly significant (P < 0.001) and positive correlation was observed between number of pods and pod set, pod weight and pod set, number of nuts per pod and number of pods, number of nuts per pod and pod weight, outturn and pod set, outturn and number of pods, outturn and pod weight, outturn and weight of unpeeled nuts, outturn and weight of peeled nuts (Supplementary Fig.
highly significantP < 0.0010.0× alphaqualifiedgold
Results Decomposition score of large birds (i.e., hens) across islands and throughout seasons and days after fresh carcasses were placed in the field was a highly explainable phenomenon (79.9% of the variance accounted for by the fixed effects, plus 8.9% attributable to random effects, in a highly significant three-way random intercepts and random slopes mixed model: χ 2 = 380.6, df = 31, P < 0.001 derived from parametric bootstrap).
highly significantP ≤ 0.0010.0× alphaqualifiedgold
Effect of marker segregation distortion on map construction Single locus analysis detected 5.9% of markers with highly significant (P ≤ 0.001) distortion, and 7.3% with significant (0.001 < P < 0.05) segregation distortion, giving a total of 98 markers with distortion from the expected Mendelian segregation (Table 1 ).
highly significantP < 0.0010.0× alphaqualifiedgold
Difference in disease severity of accessions across test conditions Factorial ANOVA showed highly significant variations for IWDSs among the ITC accessions (A: F = 17.54; df = 89; P < 0.001), genome (G) groups (F = 111.67; df = 9; P < 0.001), races (R: F = 19.70; df = 1; P < 0.001), test conditions (T: F = 312.50; df = 1; P < 0.001), and their interactions (G×T: F = 37.23; df = 9; P < 0.001; T×R: F = 63.24; df = 1; P < 0.001; and G×T×R: F = 35.22; df = 9; P < 0.001).