3.1.2 Reproductive traits Analysis of variance revealed that the reproductive traits anthesis days, silking days and anthesis silking interval showed highly significant differences (P ≤ 0.0001) in both the seasons, between the genotypes ( Table 3 ).
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Data analyzed revealed that there was a significant effect of the forward speeds (FS) (p < 0.05), a highly significant effect for elevator velocities (ES) (p < 0.0001), and a highly significant effect for cutting knives speeds “CKS” (p < 0.01) on the collecting efficiency.
According to the model fit statistics, the quadratic model is suggested to be highly significant among linear, 2-factor interactions (2FI), and quadratic models for turbidity ( p = 0.0001), COD ( p = 0.0004) removal, and residual Al ( p = 0.0274) implying high correlation coefficient (R 2 ) values, 0.9831, 0.9838, and 0.9775, respectively.
Highly significant (P < 0.0001) variation was perceived among the study locations for the mean squares of disease incidence, severity, AUDPC, disease progress rate, TSW, and GY due to interactions of wheat cultivars and chemical seed treatments.
4 , it comes out that the existence of a highly significant difference (p <0.0001; α = 0.05) between the proportions of the different professions; meaning that occupations strongly influence the profiles of infant flours users.
The result showed the scolicidal effects of the synthesized nanoparticles extremely significant for all the four concentrations evaluated and at various exposure times in comparison to the control group (P < 0.0001).
The statistical treatment revealed that the insecticidal effect of both samples tested was considered highly significant (p < 0.0001), as well as the effect of concentrations (p < 0.0001) at p-value = 0.05 level of significance.
The statistical analyses show that quadratic models fit very well into the data for the response and the responses were highly significant (p < 0.0001).
Result Compared to the control group, FDM guinea pigs exhibited a significant trend towards myopia, along with significantly elevated concentrations of LPS and VIP ( p < 0.0001).
Furthermore, the variance analysis (ANOVA) presented in Table 4 disclosed that the quadratic model was exceedingly significant at P < 0.0001 for the estimation of phenolics from JATE.
Regarding immunological response, the Spearman correlation coefficient suggests a highly significant direct link between IL-2, TNF-α, and INF-γ and radiation doses (P < 0.0001).
The three factors had a highly significant (p < 0.0001) effect on runoff and sediment loss.
This was also highly significant at p < 0.0001.
The cumulative analysis of all sites demonstrates that vaccination resulted in a highly significant reduction of the frequency of positive rated animals in the vaccinated group (59 out of 439, 13.4%) compared to the unvaccinated group (88 out of 270, 32.6%; p < 0.0001).
The result from the present study revealed that TDML showed an increasing trend (P < 0.0001) with an increase in both BSY inclusion level and ED. 3.5 Chemical composition and in-vitro organic matter digestibility of BSY-based silage The interaction effect of BSY inclusion level and ED for some chemical composition parameters are indicated in Table 7 while those parameters influenced by main factor effects are indicated in Table 8 .
At MWU, a highly significant variation ( P < 0 0. 0001) in PDS was observed among the wheat lines and ‘Maddawalabu’ ( Table 2 ).
Analysis of the expression of EBV-miR-BART22 by MiRNA qRT-PCR revealed highly significant differences between the EBV carrier group and EBV-HLH and CAEBV groups (P < 0.0001; P < 0.001), and significant differences between the IM and EBV-HLH groups (P < 0.001).
Similar to pre-swing, in the mid-stance phase the differences between the CTRL and RUP2 and RUP21 were highly significant (F = 24.68, p = 0.0001).
The observed mean body weight ranged from 1.19 to 1.43 kg with highly significant (p < 0.0001) differences between districts and sex effects for all other morphometric traits.
The results showed that the variety effect was significant only for ADF, ADL and ME (p < 0.05), while the zone and by-products effects were highly significant (p < 0.0001) for all the parameters.
There were highly significant differences (P < 0001) between the analysed mean Hg, As and turbidity levels and the permissible levels in surface water with the potential of affecting ecosystem services including water for drinking, water for recreational, water for irrigational, and water for aqua culture purposes.
The differences between species richness in NW and RB were highly significant ( P < 0.0001).
For ANOVA analysis, the results revealed that the four models were highly significant (P < 0.0001).
Adding the ‘number of flowering species’ to the model showed a highly significant difference on both, number of butterfly species and individuals (mod4s, mod4i, p < 0.0001).
The F -values were highly significant at p < 0.0001 for all response variables, and the p -values were a coefficient significance check, together with the operating factor's power.