Slackia was highly significant and positively correlated with weight ( p < 0.01), Aeriscardovia was negatively correlated with weight ( p < 0.05). 3.7.6.
Excerpts
This study indicated significant effects ( p < 0.05) of the g.7163G>A SNP genotypes of the FASN gene solely on fat%, whereas the g.7271C>T polymorphism showed highly significant effects ( p < 0.01) on both fat% and SNF%.
When performing the Kruskal–Wallis test for the entire species, highly significant differences were observed between the groups (χ 2 = 13.43; p < 0.01).
The differences between supplement treatments in change during the entire time when different supplements were given were highly significant ( p < 0.01) for each of the four BMIs.
infection rates were 54.0% and 38.3% in diarrheic and non-diarrheic calves, which was an extremely significant difference ( p < 0.01).
Among the eight analyzed species, we found an extremely significant difference ( p < 0.01) in the activity rhythms of the eastern roe deer ( p < 0.05), tolai hare ( p < 0.05), wild boar ( p < 0.05) and blood pheasant ( p < 0.05) between these two seasons.
Fixed Effects Analysis According to the least squares analysis, three non-random factors, including the year of birth, season of birth, and non-random factors, had highly significant effects ( p < 0.01) on all weight traits and therefore needed to be used as fixed effects in the genetic parameter estimation model for subsequent genetic analyses ( Table 2 ). 3.2.
Statistical differences were considered significant at p ≤ 0.05 and highly significant at p < 0.01, and trends are suggested at p < 0.10.
The symbol * indicates significant data ( p < 0.05), while the symbol ** indicates highly significant data ( p < 0.01).
A highly significant ( p < 0.01) difference was noted in the summed concentration of all UFAs studied in milk fat between the highest (T/C of the RP breed) and the lowest (TT and T/C of the RW breed) contents. 3.2.3.
The final body weight, WGR, SGR and PER showed highly significant negative linear ( p < 0.01) and quadratic ( p < 0.01) relationships with dietary MDA content; thereinto, the final body weight, WGR and PER were significantly lower in the M8 and M16 groups compared to the M0 and M1 groups, and the SGR was significantly lower in the M16 group compared to the M0 and M1 groups ( p < 0.05).
Additionally, highly significant increases were observed for concentrations of acetate, propionate, butyrate, and isovaleric acid ( p < 0.01).
Following the analysis, we identified data with extremely significant negative correlations ( p < 0.01).
All pairwise Pearson correlations among the five traits were positive and highly significant ( p < 0.01) ( Table 1 ): BW and BWW were almost perfectly correlated ( r = 1.00, as expected because BWW was measured on the same individuals after evisceration), and BW correlated strongly with TL, BL, and BH ( r = 0.93, 0.94, and 0.94, respectively), indicating that these traits may share a substantial common genetic basis. 3.2.
The mean average of the Apgar test increased slightly at each measurement in both protocols, and the difference between the Apgar 0 evaluation (7.0 ± 0.2 and 8.1 ± 0.2, CSP and CSA, respectively) and the Apgar 120 score (9.1 ± 0.2 and 9.7 ± 0.1, CSP and CSA, respectively) was markedly significant ( p < 0.01).
The other serum immunomodulatory markers, IgG ( p = 0.348, df = 12, F = 1.194) and sIgA ( p = 0.813 df = 30, F = 0.457), and cytokines IL10 ( p = 0.176, df = 12, F = 1.943) for the lambs did not significantly respond to maternal COS supplementation ( p > 0.05 Figure 5 A,B), but a positive trend in improvement was evident for serum IgG and IL10 levels (Pearson correlation two tail test, p > 0.01 and <0.1). 3.4.
An independent sample t -test was performed to analyze differences between RQ values using Microsoft Excel, in which a significant difference was expressed as p < 0.05 and a highly significant difference as p < 0.01 [ 47 ].
Notably, all SMCFA (C6:0, C8:0, C10:0, C12:0, C14:0, and C14:1(n-5)) showed highly significant interaction effects ( p < 0.01), suggesting that their concentrations were influenced not only by postpartum stage or season independently, but by their combination.
Highly significant changes of correlation were observed in creatine phosphate and methanol, which showed a strong positive correlation in neutral temperature (r = 0.78, p < 0.01), but highly negative correlations were seen after cold stress (r = −0.82, p < 0.01).
The rumen weight had a significant positive correlation with the relative mitochondrial DNA copy number ( p < 0.05) and had a highly significant positive correlation with the ATP concentration ( p < 0.01) in ruminal epithelium.
The correlations between milk production traits (CLP, CLY, and MY-300d) and reproduction traits (CI and DP) were highly significant ( p < 0.01 to p < 0.001).
Interestingly, we observed that nuclear genetic distance was strongly correlated with mitochondrial distance (r = 0.581, p < 0.01; Table 2 and Figure S2 ), and this relationship remained highly significant after controlling any other variables ( p < 0.01; Table 2 ), suggesting a pattern of isolation by colonization.
Significant differences were denoted as * ( p < 0.05), and highly significant differences were denoted as ** ( p < 0.01). 3.
The MIXED procedure, the t-Test and the correlation coefficient (r) were considered statistically significant when p ≤ 0.05 and highly significant when p ≤ 0.01 while a trend was assumed for 0.05 < p < 0.1.
In the ENR environment, all comparisons across time levels intervals were highly significant ( p < 0.01).