Barely Significant

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highly significantP < 0.00010.0× alphaqualifiedgold
AMOVA that was conducted by grouping the accessions according to their geographic regions of origin and without grouping revealed a highly significant variation among accessions and regions as well as within accessions ( Table 2 ; P < 0.0001).
highly significantp < 0.00010.0× alphaqualifiedgold
The multiple linear regression analysis showed that second-order polynomial models were adequately accurate to predict the relevant responses because not only were highly significant ( p < 0.0001), but also had insignificant lack-of-fit values ( Table 4 and Table 5 ).
highly significantP < 0.00010.0× alphaqualifiedgold
The mixed effects model confirmed that location was a highly significant predictor of nesting (z = -7.942, P < 0.0001), whereas probe type was not (z = 1.205, P > 0.05) for the three probe types deployed at all locations (A330, 737–800, 747–400): however, when all probes are considered across all locations, 86% of blockages occurred in probes with a diameter range of 5–8 mm.