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extremely significantp < 0.010.2× alphaqualified
Statistical analysis All values were presented as mean ± SEM, and statistically significant differences (p < 0.05) and extremely significant differences (p < 0.01) among cadmium chloride-treated groups and the control were determined among various groups by ANOVA and Tukey post-test using SPSS 12.0 statistical software.
extremely significantP < 0.010.2× alphaqualified
* and ** above the orange column refer to significant ( P < 0.05) or extremely significant ( P < 0.01) differences (based on LSD test) between the two conditions for a given physiological trait of each sample (i.e., comparisons between each pair of blue and orange columns).
extremely significantp < 0.010.2× alphaqualified
When comparing the total phenolic content, GL had the highest values of 0.024 ± 0.001%, which was similar to BL 0.022 ± 0.001% ( Figure 2 A); In terms of flavonoid content, GL, RG and BL were 0.390 ± 0.005%, 0.604± 0.006% and 0.096 ± 0.004%, respectively ( Figure 2 B), and the three comparison groups had extremely significant differences ( p < 0.01).
extremely significantp < 0.010.2× alphaqualified
Here, we found that a significant level ( p < 0.05) of antigen-specific sIgA was elicited in the rabbits orally immunized with recombinant lactobacillus from the 7th day onwards, and an extremely significant level ( p < 0.01) was elicited from the 14th day onwards after the primary immunization.
extremely significantp < 0.010.2× alphaqualified
A chi-square test of independence χ 2 − t e s t indicated that the frequencies of the three superior haplotypes showed a significant upward trend from wild soybeans to improved cultivars, with significant or extremely significant differences in distribution among populations P r o 2 : χ 2 = 10.8762 , p < 0.01 ; C D S 1 : χ 2 = 16.8923 , p < 0.001 ; H a p 1 : χ 2 = 14.9524 , p < 0.001 .
extremely significantp < 0.010.2× alphaqualified
All statistical analyses were carried out using SPSS statistical package 12.0 (SPSS Inc, Chicago, IL, USA) to determine whether the treatments of results were significant (* p < 0.05) or extremely significant (** p < 0.01 and *** p < 0.001) different from the control groups without 4-NP. 3 Results 3.1 Body and liver weight At the beginning of the experiment, rats from different groups showed approximately similar body weight values.
extremely significantP < 0.010.2× alphaqualified
According to a chi-square test, out of 3,178 markers, 96 markers on the map showed distorted segregations ( P < 0.01) even though the extremely significant SNPs ( P < 0.01) were excluded, and the total segregation distortion ratio was 3.02%.
extremely significantP < 0.010.2× alphaqualified
Validation of candidate SNPs in natural population We verified the candidate repetitive SNPs in the natural population based on their polymorphism (Table 3 ), and the differences of phenotypic values grouped by polymorphism reached extremely significant levels ( P < 0.01).