The correlations of reproductive traits of winter wheat in different environments were compared in the figure, from which it can be seen that most of the winter wheat reproductive traits reached the highly significant level (p<0.001).The correlations of S1 stage traits in E1 environment were -0.02-0.67, and the correlations of S2 stage traits in E1 environment were 0.22-0.55; and the correlations of S1 stage traits in E2 environment were 0.37-0.55; and the correlations of S2 stage traits in E3 and E4 environments were 0.37-0.55. correlation was 0.37-0.63 for S1 stage trait in E2 environment and 0.45-0.62 for S2 stage trait in E2 environment; correlation of S1 stage trait in E3 environment was 0.41-0.62 and correlation of S2 stage trait in E4 environment was 0.36-0.62.
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The results showed no significant main effect of the CO 2 treatment (F(1, 538) = .49, p = .484), but a highly significant main effect of the three different growth periods (F(2, 538) = 364.89, p <.001) and a highly significant interaction effect between CO 2 and the growing period (F(2, 538) = 29.32, p <.001).
Analysis of variance for root and yield traits The ANOVA for root traits under the hydroponics platform ( Table 2 ) revealed highly significant differences among genotypes (p< 0.001), traits (p< 0.001), and genotype × trait interaction (p< 0.001), indicating substantial genetic variability and trait-specific effects.
A non-parametric analysis of variance (Kruskal–Wallis test), followed by Dunn’s post-hoc test, indicated highly significant differences (p < 0.001) for VC as well as for all soil surface components.
The effect of “rust infection” was statistically highly significant [repeated measures ANOVA: F (1,10) = 19.815, P = 0.001], as was the interaction of time and rust infection [repeated measures ANOVA: F (4, 40) = 10.665, P < 0.001].
All F ST were highly significant ( P < 0.001).
Notably, there was a highly significant linear relationship between zinc content in the dry matter of straw (r=0.805, p=<0.001) and milled rice (r=0.726, p=<0.001) with grain yield ( Figure 5 ).
For the three pigment classes, highly significant [ p < 0.001] treatment, genotype and treatment × genotype interaction effects were found.
Results and discussion Highly significant differences ( p <0.001) for BSR response among AB-QTL lines were observed disease incidence (DI) in all field seasons, as well as disease rating (DR) and area under the disease progress curve (AUDPC) in the greenhouse with a moderately high broad-sense heritability ( H 2 ) of 0.61 for the tested resistance parameters.
3 Results 3.1 Differential effects of lighting and species on growth and chlorophyll traits Two-way ANOVA revealed ( Table 2 ) that both lighting (p < 0.05) and species (p < 0.001) had highly significant effects on SFW, with a strong interaction also observed between these factors (p < 0.001).
Cultivar variation and drought stress effects for the 34 S-proteins were also highly significant ( P < 0.001) ( Table 1 ).
ANOSIM results (R = 0.3088, P = 0.0001) further demonstrated highly significant differences in fungal community structure among different tissue–time combinations ( P < 0.001).
The genotypes showed very highly significant differences ( p< 0.001) was measured in each and across environments at all growth stages.
All F ST were highly significant (P < 0.001) based on permutation test.
Responses of net primary productivity and relative growth rate to different grazing intensities in a herbaceous marsh wetland Grazing intensity exerted a highly significant effect on aboveground net primary productivity (ANPP) (F 2,42 = 27.21, P < 0.001) ( Figure 4A ).
Highly significant (p < 0.001) elevation of IVTDMD was also recorded in mutant lines Msc3h-013 and Msc3h-158 with a relative advantage of 8% and 10% over EV, respectively ( Figure 4E , Supplementary Table S1 ), followed by Msc3h-121 with a relative advantage of 5% over EV, which was not statistically significant ( Figure 4E , Supplementary Table S1 ).
fulvum line gave a highly significant variation, P = 0.001 ( Table 4 ).
Plant height before treatment and plant height after treatment under control conditions had highly significant correlations with NDVI values ( r = 0.70, P < 0.001 and r = 0.76, P < 0.001, respectively) ( Table 4 ).
The densitometric differences in protein expression of both actin and BiP in healthy and infected plants turned out to be highly significant ( p -value ≤ 0.001).
The correlation analysis between the visual scores and color space values of leaf, peel and pulp showed highly significant positive correlation values ( P < 0.001) between the parameters, namely visually scored leaf color (LC) and peel color (SC) (r 2 = 1.00, P < 0.001); LC, SC and PC with their corresponding a* values, LA (r 2 = 0.81, P < 0.001), PEA (r 2 = 0.84, P < 0.001) and PUA (r 2 = 0.83, P < 0.001).
The contribution of year, genotype and their interaction to the date of budbreak were all highly significant ( p -value< 0.001).
Paired statistical tests confirmed that differences between CK and 150 NaCl were all highly significant (p < 0.001).
The ANOVA results revealed highly significant differences ( p < 0.001) across the genotypes (G) and genotype × year (G × Y) interactions but no significant differences between the two years (Y) ( Table 1 ). 3.3 Resequencing of sweet potato genotype resources and SNP calling Sequencing was performed after constructing a GBS library of the 96 genotypes.
Following Z-score standardization, Bartlett’s test of sphericity was highly significant ( p < 0.001), confirming the suitability of data for principal component analysis (PCA).
However, crude protein content had a highly significant ( p < 0.001) and strong negative correlation with dry biomass production (-88%).