Barely Significant

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highly significantp < 0.0010.0× alphaqualifiedgold
Both Wilk’s Λ and Pillai’s trace were highly significant ( p < 0.001) for each of the single IVs (treatment, exposure time and cultivar), for the two-way interactions (treatment ∗ exposure time, treatment ∗ cultivar, exposure time ∗ cultivar) and the three-way interaction treatment ∗ exposure time ∗ cultivar.
highly significantp < 0.0010.0× alphaqualifiedgold
Analysis of variance Pooled analysis of variance demonstrated highly significant effects of genotype, environment, and genotype × environment interaction ( p < 0.001) for all studied characters ( Table 3 ), reflecting substantial genetic variability and pronounced differential responses of genotypes across temperature regimes.
highly significantP <0.0010.0× alphaqualifiedgold
Analysis of variance and mean trait performance of finger millet genotypes under contrasting moisture regimes Under drought-stressed (ST) conditions, the analysis of variance showed highly significant (P <0.001) differences among progenies (F 1 ) for all assessed traits ( Table 4 ).
highly significantp< 0.0010.0× alphaqualifiedgold
The multivariate analysis showed that both seed priming treatment and growth stage had highly significant multivariate effects on phytochemical accumulation (p< 0.001), with a significant interaction between these factors ( Table 1 ).
an increasing trendp < 0.0010.0× alphagold
Results Vegetation cover changes during 1982 to 2020 in the Tibetan plateau As shown in Figure 3 , between 1982 and 2020, nearly 89% of the alpine ecosystem in the Tibetan Plateau showed an increasing trend in vegetation cover, with a rate of change of 0.0019 per year for VCI ( p < 0.001) and 0.0096 per year for LAI ( p < 0.0001).