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 ).
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According to the analysis variance ( Table 6 ), the effect of factor A on hydrolytic activity was highly significant ( p < 0.01), that of factor C was significant ( p < 0.05), and that of factor B was not significant ( p > 0.05).
The liquid‒solid ratio (A), the extraction temperature (B) and the ultrasonic power (C), which affect the extraction of anthocyanins, reached a highly significant level (p < 0.01).
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.
Effects of brewery sludge on wheat tissues As the application rate of brewery sludge increased, a highly significant (P < 0.01) increase in the concentration of all heavy metals was observed in different tissues of wheat as shown in Table 5 .
2 B), the difference was significant for nine ( t -test, p < 0.05) strains and highly significant for five of these ( t -test, p < 0.01).
The acidity of coffee had a strong negative and highly significant correlation (−0.81, P < 0.01) with chlorogenic acid and a strong positive and highly significant correlation (0.78, P < 0.01) with caffeine content.
Unlike the HFIAS score, which was not statically significant, a comparison of the two groups revealed marginally statistically significant (p < 0.01) differences in the prevalence of food insecurity across time by region of origin of households between the two groups.
Both the individual and interactive effects were highly significant ( P ≤ 0.01) on all the tested parameters; however, the two-way interaction (S × SA) was found not significant only for germination energy (%).
The three pumpkin juices differed significantly under the same power treatment, with the US200 treatment group showing a highly significant difference between C. maxima , C. moschata , and C. pepo juices ( P < 0.01).
1 C) revealed a highly significant increase in the levels of serum IL-1β, IL-6, and TNF-α ( P < 0.01) and a significant increase in the level of serum IL-4 ( P < 0.05) in the CIA group compared with those in the control group.
Based on the biomarker values related to serum L-fucose levels in this study, a significant trend (P < 0.01) was observed with the progression of OSMF (C) ( Table 2 ).
Highly significant (P ≥ 0.01) differences were observed among the sorghum genotype regarding the grain quality traits studied.
Total Income (TI) had a small but highly significant mean of 0.160 ( t -test: 0.0201, p < 0.01).
The estimated annual direct genetic trend (0.036 kg/year) was positive and highly significant (p < 0.01).
According to the data analysis of variance in Table 3 , the ethanol concentration in the MAE process had a highly significant impact on glucomannan content because it has a p-value <0.01 and also F calculate > F 1 %.
There were highly significant (P < 0.01) differences due to dose effects among the seedlings.
Eight of them were highly significant ( P < 0.01), namely SS, hardness, sugar, CAT, SOD, Ga-ATP, H-ATP and Na-ATP, respectively.
The results showed highly significant differences (P < 0.01) in fresh weight, dry weight, color, chlorophyll content, and protein content of Wolffia .
The results showed that the AmpC mRNA level was approximately three fold higher than the control strain and was highly significant (P < 0.01) ( Fig. 4 ).
The length parameters based on the length-length relationships of each sample were found to be highly significant ( p < 0.01).
Plant height showed a positive and highly significant association with aboveground biomass (r = 0.45, p < 0.01 ) and grain yield (r = 0.53, p < 0.01 ).
The magnitude of logistic regression coefficients of good agriculture practices revealed that occupation was a highly significant (p < 0.01) socio-economic variable influencing the adoption of good agriculture practices.
The t-value of the predictor variables’ beta regression coefficients was found to be highly significant (p < 0.01).
Cob length (CL) and cob diameter (CD) Maize cob length and cob diameter were highly significant (p < 0.01) affected by the furrow irrigation system and irrigation level.