As shown in Figure 5 , all candidate genes showed highly significant differences ( n = 15, P < 0.01) between high-content group and low-content group, consist with RNA-Seq results. 4 Discussion 4.1 QTL identification for volatile terpene contents Mapping QTLs of aroma traits is challenging.
Excerpts
The nitrogen application rate had a highly significant effect on all indicators ( P < 0.01), and variety and growing year had significant effects on most indicators.
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 ).
Regarding structural uniformity, the spatial autocorrelation coefficient of canopy height showed a highly significant positive correlation with yield (Pearson correlation coefficient r = 0.82**, P < 0.01), indicating that more uniform distribution of plant height across the field correlates with higher yield.
Analysis of variance performed across all environments revealed highly significant (p< 0.01) differences among lines/varieties, environments, and G×E interaction ( Table 1 ).
In addition, the Pearson correlation between the analyzed ecophysiological variables was highly significant (r = 0.548; p < 0.01) ( Figure 5 ).
Soil organic carbon content The influence of Y and T on the soil organic carbon content was highly significant (P<0.01; Figure 4 ).
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.
At the 95% confidence level, the effects of the garlic conveying speed and extension spring preload force on the maximum floating displacement were highly significant ( P < 0.01), and the effects of extension spring stiffness on the maximum floating displacement were not significant ( P > 0.05).
Discussion Analysis of genotype by environment (G×E) interaction indicated a highly significant interaction (P < 0.01).
“ * ” represents a significant difference ( p < 0.05), and “ ** ” represents a highly significant difference ( p < 0.01).
Seed Physico-Chemical Characterization Analysis of variance showed a highly significant differences ( P ≤ 0.01) between genotypes for all physicochemical parameters ( Table 3 ).
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 ).
The regression model is highly significant (P < 0.01), while the lack of fit is not significant (P > 0.05).
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).
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 ).
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%.
Notably, there is an extremely significant linear relationship between the accumulation of N and K in grains and yield ( P <0.01) ( Figures 7A–H ); simultaneously, there is also an extremely significant linear relationship between K accumulation in stems and leaf sheaths and yield ( P <0.01) ( Figures 7A–H ). 4 Discussion 4.1 Respon
After 50d of storage, there was a highly significant difference (P<0.01) between the PEHC and the control in terms of good fruit rate, with the PEHC of kiwifruit having a higher good fruit rate than the control. 3.3.2.
The reflectance of films A and B were about 2.2 times that of film C, and the difference reached an extremely significant level ( P < 0.01).
The ANOVA results showed both environmental and genotypic effects to be highly significant (p-value < 0.01) for most traits in all populations, except for UI in populations 1 and 6 ( Supplementary Table S2 ).
3.2 Correlation analysis Correlation analysis of the morphological indicators revealed that there was a highly significant ( p < 0.01) positive correlation among the maximum root length, shoot length, and biomass in all correlation analyses ( Figures 2A–D ).
The lodging index and actual lodging rate of the second stem internode were highly significant positively correlated with the second stem internode length ( P < 0.01).
Days to anthesis Days to anthesis showed a highly significant ( P< 0.01) dominant effect over all the other genetic effects studied.