All differences were highly significant (P<0.01) under one-way ANOVA analyses.
Excerpts
This upward trend was highly significant, with an increment of 0.0034 year −1 ( P < 0.01) ( Figure 2 ).
infestans , the r value was 0.94, the linear equation was y = 0.5089x - 8.014 (R 2 = 0.88, p = 0.006), the difference was highly significant (p < 0.01).
Meanwhile, in terms of significance, except for T2D1N2 and T0D3N1, which showed significance (p< 0.05), all other cases showed highly significant (p< 0.01).
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.
Likewise, there was no significant effect of starch type on HIN, while both replication and set within replications had highly significant ( p ≤ 0.01) effects ( Table 3 ).
The single effect of nitrogen and water application on plant height had a highly significant effect ( p <0.01) ( Figure 3A ).
Two way interaction of G to PD and DS were highly significant ( p ≤ 0.01) for most of the studied GS.
The results showed highly significant (p< 0.01) annual grain yield gains of 118, 63, 46, and 61 kg ha −1 year −1 under optimum, low N, managed drought, and random stress conditions, respectively.
The results of the response surface test proved that the nozzle height, forward velocity, and swing frequency all had a highly significant effect on the uniformity coefficient of fertilizer spreading in the longitudinal and transversal directions ( P <0.01).
A significant negative correlation was identified between TP and CAT (P< 0.05), while a highly significant positive correlation was found between nitrate N and PRO (P< 0.01).
(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.
Broadly speaking, the stoichiometric characteristics of Pinus tabuliformis seedlings are primarily influenced by the exchange calcium and water-soluble calcium, which have reached a highly significant level ( p < 0.01).
3.4 Interactive effect of AMF and salt concentration on indicators Salt concentration had a highly significant impact on all indicators ( P < 0.01, Table 3 ).
Irrigation and N application treatments had a highly significant (P < 0.01) effect on LAI at each growth stage in both 2021 and 2022.
Two loci, RM8006 on Chr 7 and RM6105 on Chr 11 showed extremely significant associations ( P < 0.01), and another two loci, RM132 and RM16153 on chromosome 3, were detected at P < 0.01 in one field condition but at P < 0.05 in the other one.
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.
Correlation analysis of quality Correlation analysis of 15 quality indices, including NEAA, EAA, protein, soluble sugar, pyruvic acid, moisture, Fe, Zn, Mn, Cu, S, N, K, and C content in different germplasm resources of the genus Allium , revealed a highly significant positive correlation between EAA and C, protein and N, Zn and moisture, and Fe and Cu and K content ( P <0.01) with correlation coefficients of 0.72, 1.00, 0.72, 0.76, and 0.83, respectively.
3.5 Effect of Si-NPs and IBA on proline and total protein level under Cr-stress Statistically highly significant ( P < 0.01) reducing impact was found under Cr stress for proline and total protein contents in freesia plants compared to the control.
Highly significant differences (P < 0.01) were detected in WD, MOR, MOE, SSG, CP, LC, HC, CC, FL, FW, and FP.
These correlations were found to be highly significant (p-value< 0.01).
Correlation of leaf photosynthetic pigment content, photosynthetic characteristics, photosynthetic CO 2 curve characteristic parameters, and related enzyme activities with fruit yield As shown in Figure 8 , the SGW of ‘Flame Seedless’ grapes showed a highly significant positive correlation with the LSP, V cmax , Pn, WUE, and RuBisCO activity ( P ≤ 0.01) and offered a significant positive correlation with Chl a content and Chl b content ( P ≤ 0.05).
The correlation between the RNA-Seq and qRT-PCR results was analyzed using Excel 2019, revealing a highly significant correlation (r = 0.7859) between the qRT-PCR and RNA-Seq data (p<0.01) ( Supplementary Figure S4 ).
During pretreatment phase, DT exhibited a gradual increase with highly significant variation ( p < 0.01) between genotypes ( Figure 2B , Supplementary Table S2 ).
Variance components due to the inbred line × P condition interaction were also highly significant ( P < 0.01) for all traits.