The findings demonstrated that stress duration and increasing PEG concentration had a highly significant impact on the growth traits of European birch seedlings (p<0.01); With increasing stress concentration and stress time, antioxidant enzyme activity, membrane lipid peroxidation, and osmoregulatory substance concentrations increased significantly (p<0.01); With increasing stress concentration and du
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As shown in Table 5 , wheat-straw returning, K application, and their interaction exerted significant ( p < 0.05) or highly significant ( p < 0.01) effects on K translocation amount and K translocation contribution rate in stem sheaths (leaves) during the grain-filling stage, as well as K agronomic efficiency (KAE) and K physiological efficiency (KRE).
epigeios in 2018 and 2019, all differences between the two treatments reached a significant ( P < 0.05) or extremely significant ( P < 0.01) level.
Combined ANOVA demonstrated highly significant (P ≤ 0.01) influences of both G and E on all micronutrients, whereas GEI effects were dependent on the nutrient and significant for Mn, Zn, and Se.
By Tukey’s test, treatment 1 was significantly different from treatment 11 ( p < 0.05), and treatment 9 showed highly significant differences compared with treatments 1, 3, 5, and 7 ( p < 0.01).
ANOVA indicated that the interaction between soil salinity and biochar application rate exhibited a highly significant impact on GWP, GHGI, and NGHGE (P< 0.01); however, this interaction did not significantly influence yield (ns).
Correspondingly, we uncovered five highly significant correlations (all p -values < 0.01).
The effects of the soil depth on RLD, RAD, and RDWD were highly significant ( p < 0.01).
Among them, N2 and N3 treatments reached a significant ( P < 0.05) level and a highly significant ( P < 0.01) level compared with CK, respectively.
Surprisingly, SbGATA11 showed an extraordinarily significant positive correlation with all genes (p<0.01) except SbGATA15 ( Figure 8B ).
reticulata , leaf thickness showed highly significant positive correlations with both upper epidermis thickness and spongy tissue thickness ( p < 0.01), while palisade tissue thickness was significantly positively correlated with stomatal width ( p < 0.01).
When the detached leaves were floated on 50 μM ABA, there was loss of chlorophyll in all genotypes, but the loss was highly significant ( P < 0.01) in the abc1k7 and abc1k8 mutant and abc1k7/abc1k8 double mutant lines ( Figure 4B ).
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 .
Correlation analysis Based on the Pearson correlation analysis ( Pan et al., 2024 ) of 23 quality traits in frost mulberry leaves from 21 mulberry varieties ( Figure 1 ), 16 pairs of indicators exhibited highly significant correlations ( P < 0.01), while 12 pairs showed significant correlations ( P < 0.05).
The regression coefficients were highly significant ( P < 0.01 or P < 0.001) for all harvest dates, showing a positive effect of far-red fraction on light use efficiency.
This difference in bacterial diversity was highly significant (P< 0.01) compared to that in the susceptible group S1h after inoculation, the resistant non-inoculated group Rch, and the resistant inoculated group R1h ( Figure 2A ).
In the dataset comprising 48 isogenic pairs, the heritabilities for the BS39+SHGD group (PH: 0.70; EH: 0.70) were significantly higher than those of the BS39 group (PH: 0.30; EH: 0.56), with the difference being statistically highly significant (p=0.01).
The results of AMMI combined analysis of variance across six environments for the 15 genotypes of 100-kernel weight revealed that tested treatments (T), genotypes (G), environments (E), interaction (G × E), and the IPCA1 were highly significant (p < 0.01) ( Table 8 ).
Through WGCNA, we obtained five modules and 29 flavonoid-related metabolites with extremely significant module−metabolite paired relationships (|correlation coefficient|> 0.9, P < 0.01).
For rice, ANOVA revealed significant (p < 0.05) or highly significant (p < 0.01) effects of nitrogen reduction (RN), PCU application modes, and their interaction on yield ( Table 2 ).
There was a highly significant negative correlation between NO3-N and AF ( P <0.01) and a significant positive correlation with DM ( P <0.05).
The correlation coefficients of coleoptile length among environments were highly significant and ranged from 0.23 to 0.96 ( P < 0.01), which also indicated that coleoptile length was affected by the environment.
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).
According to the analysis of variance ( Table 2 ), the interaction terms of X 1 X 2 , X 1 X 4 , X 1 X 5 , X 2 X 3 , X 2 X 5 , X 3 X 4 , X 4 X 5 and X 1 X 2 2 X 3 were extremely significant (p ≤ 0.01), indicating that their interaction can significantly affect the mycelial growth of H. erinaceus .
Irrigation quota and organic fertilizer application had a highly significant impact on pumpkin vine length and stem diameter (P < 0.01), with a significant interaction between the two factors (P < 0.05).