Barely Significant

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highly significantp < 0.010.2× alphaqualifiedgold
(7) T a n n i n = + 2.896 − 0.0766 A − 0.116 B − 0.0583 C − 0.0161 D − 0.0550 A B + 0.0008 A C − 4.3108 A D + 0.0006 B C + 0.0004 B D − 4.6296 C D + 0.0283 A 2 + 0.0533 B 2 + 0.0004 C 2 + 0.0001 D 2 The results of the statistical analysis indicated that the effects of incubation time (D) and quadratic model terms (C 2 and D 2 ) on tannin content were highly significant at p < 0.01.
highly significantP ≤ 0.010.2× alphaqualifiedgold
Matrix analysis showed highly significant positive correlations (P ≤ 0.01) of the V concentration in water with the Ni and Zn concentration in water, the biological oxygen demand (BOD), and the Zn concentration in WH; the Cr concentration with the Fe and Co concentrations in water; the Mn concentration with the Co concentration in water; t
highly significantP < 0.010.2× alphaqualifiedgold
After 12 days of treatment with different drugs, compared to the model group, the PF-treated hepatoma-bearing mice exhibited a significant reduction in tumor volume and weight (P < 0.05), while the Sor-treated and combination therapy groups showed a highly significant decrease in both tumor volume and weight (P < 0.01).
highly significantp < 0.010.2× alphaqualifiedgold
What is interesting to note is that we found that a question commonly used to investigate trust – “ Do you agree that most people could be trusted ?” or trust in the average person—“generalized trust” have a positive and highly significant effect (p < 0.01) on relaxing the wheat varieties constraint.
highly significantp < 0.010.2× alphaqualifiedgold
2 , a one-way ANOVA was conducted on batting accuracy in the retention test and the transfer test, and the between-group F = 10.324, p < 0.01, for the three groups in the retention test was highly significant; in the transfer test, the between-group F = 12.311, p < 0.01, and the between-group difference was highly significant.
highly significantP < 0.010.2× alphaqualifiedgold
AMMI's stability value (ASV) was calculated to rank genotypes in terms of stability using the following equation [ 6 ]: (6) A M M I s t a b i l i t y v a l u e ( A S V ) = [ S S I P C A 1 ( I P C A 1 s c o r e ) S S I P C A 2 ] + [ I P C A 2 s c o r e ] 2 3 Results 3.1 Analyses of variance and performance of the genotypes Single-site ANOVA revealed highly significant (P < 0.01) differences among the 18 soybean genotypes for grain yield in each of the test locations, except in Mokwa and Sabuwa ( Table 4 ).
a little significantp < 0.010.2× alphaqualifiedgold
3.2 Effect of soaking time on the physical quality of the meat analog Soaking treatment did not show a significant effect (p < 0.001) on the texture of lupine protein meat analog sample but there was a little significant effect (p < 0.01) on the pH value of the soaked lupine flour sample ( Table 2 ).
highly significantp-value <0.010.2× alphaqualifiedgold
marginally significantp-value <0.12.0× alphagold
Analysis for variance The analysis of variance (ANOVA) results shown in Table 2 reveal that the environment by genotype interaction effect is either highly significant (p-value <0.01) or significant (0.01 < p-value <0.05) or marginally significant (0.05 < p-value <0.1) on all 12 traits, indicating environmental variations among the tested varieties for yield and yield-related traits.