Moreover, the correlation heat map analysis ( Supplementary Figure 7 ) results showed that Botrytis had significant positive correlations ( P <0.05) with Candidatus_ Rhabdochlamydia , Hymenobacter and Mucilaginibacter , while it showed highly significant negative correlations ( P <0.01) with Arenimonas and Saccharomonospora .
Excerpts
Climatic variables Analysis of the environmental climatic variables using the Kruskal–Wallis test to compare the climatic niches of the two subspecies found two variables with highly significant differences ( p < 0.01; bio3 and bio4), two variables with significant differences ( p < 0.05; bio11 and bio18), and the other five variables were not statistically different ( p > 0.05; bio8, bio12, bio15, bio17, and bio18) ( Figures 4 , S5 ).
Differences in root morphological traits across root orders Root order had an extremely significant effect on the average diameter, SRL, SSA, and RTD of T. chinensis fine roots ( p < 0.01; Supplementary Table 2 ).
To confirm the contributions of locus 3, present study summarize the phenotypic differences among two alleles of every QTL, and results illustrated that the phenotypic variations between two alleles were extremely significant within population ( p ≤ 0.01) ( Figures 4C-E ).
Two parental inbred lines showed highly significant differences ( P < 0.01) in seven traits (RGR, RSL, RRL, RTL, RRSA, RRAD, RRV, and RSVI), except RRAD that showed a significant difference ( P < 0.05).
rhizogenes and plant parameters The main, two- and three-way interactions of plant genotype, strain, and explant age were highly significant ( p <0.01) on hairy root induction and transformation efficiency ( Table S4 ).
* Significant difference ( P < 0.05); ** Highly significant difference ( P < 0.01).
Significant differences were observed in the abundance of Acidobacteriota ( p < 0.05), and highly significant differences were detected in the abundance of Firmicutes, Proteobacteria, and Actinobacteriota ( p < 0.01), which were attached to fresh and silage samples of native grass in different treatments.
Under cold stress, highly significant positive correlations were observed between LTG and SR ( r = 0.37, p ≤ 0.01), and between PH and FLL ( r = 0.39, p ≤ 0.01), respectively.
Differences in expression were considered significant ( * ) when P < 0.05 and highly significant ( ** ) when P < 0.01.
The R 2 value between the observed and estimated AGB was 0.86, being extremely significant ( P < 0.01).
Coupling Effect of Irrigation and Nitrogen Application on Rice Grain Yield, Water Use Efficiency, and Nitrogen Uptake Efficiency The results showed that water and nitrogen inputs had a highly significant influence on the dependent variables ( P < 0.01; except for NUtE, which was not considered in the following analysis).
Analysis of variance indicated that differences in average GI values between TaAFP-Ba and TaAFP-Bb and between TaAFP-Ba-GFP and TaAFP-Bb-GFP genotypes were the most highly significant ( P < 0.01) among all measured traits.
Variance analysis of MVN indicated that the effect of genotypic variance was highly significant ( P < 0.01) in single environments and across all environments, while the genotype × environment (G × E) interaction was highly significant ( P < 0.01) for across environments but environment variance was not significant.
(1987) showed that plant height, tiller number and plant density of forage had extremely significant effects on forage yield ( p < 0.01), among which tiller number had the greatest effect.
Correlations of corresponding traits in the two data sources were all highly significant ( p < 0.01), suggesting that intraspecific variance is of minor importance in our dataset.
Statistical analysis was carried out using one way ANOVA that identified significant difference between the samples, with significant ( p < 0.05), highly significant ( p < 0.01) and very highly significant ( p < 0.001).
The content of 1,8-cineole in leaves was about 8.3 times higher than that in stems, and 13.5 times higher than that in roots, showed an extremely significant difference ( p- value < 0.01).
ANOVA revealed highly significant mean squares ( p < 0.01) among different generations for grain Fe and Zn contents.
G × E Interaction Study of Selected Heat Tolerant Cotton Genotypes Mean squares showed highly significant ( P < 0.01) differences for mean SCY among genotypes, environments, and the G × E interaction ( Supplementary Table 4 ).
The correlation across years within a trait was consistently positive and highly significant ( P < 0.01): for tmf , the levels ranged from 0.81 to 0.87, for tff from 0.77 to 0.89, for dc from 0.71 to 0.76, for tnm from 0.48 to 0.67, and for tlb from 0.78 to 0.86 ( tlb data from Torello Marinoni et al., 2018 ).
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%.
Highly significant linear relationships were detected between tiller numbers at day 35 ( Figure 5A ) ( R 2 = 0.90, p < 0.01), root length density ( Figure 5B ) at day 62 ( R 2 = 0.90, p < 0.01), and the canopy TE measured over the 62 days ( Figure 5C ) ( R 2 = 0.92, p < 0.01) with the absolute abundance of Bacillus in the Sodosol subsoil.
Correlation Analysis Among Nitrogen Balance Index, Chlorophyll, Flavanol, Anthocyanin Contents, and Membrane Stability A highly significant ( p < 0.01) positive correlation ( r 2 = 0.85) was observed between NBI and chlorophyll content.
Furthermore, seven pathways were at an extremely significant level ( p < 0.01), including flavone and flavonol biosynthesis (FFB), aspartate and glutamate metabolism (AAGM), cysteine and methionine metabolism (CMM), galactose metabolism (GM), arginine and proline metabolism (APM), citrate cycle (TCA cycle), and lysine biosynthesis (LB).