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 ).
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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).
Statistical analysis in Supplementary Table 6 confirms that all observed performance improvements are significant: for ResNet18 and ResNet50, both McNemar, paired t-test, and Wilcoxon tests indicate highly significant gains (p< 0.01), while VGG16 and MobileNetV2 also show consistent improvements, with most comparisons reaching p< 0.05.
Days to anthesis Days to anthesis showed a highly significant ( P< 0.01) dominant effect over all the other genetic effects studied.
In this study, highly significant correlations ( p < 0.01) were observed among all pomological traits examined.
Under PE mulching, the SWC showed a positively correlated with Pn and DM, with a highly significant correlation with Pn (P ≤ 0.01).
destruens between symptomless and symptomatic sweet potato plants were highly significant in both stems and tubers ( P < 0.01; Figures 4 , 5 ).
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).
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
The mixed model analysis result revealed that the genotypic variance was statistically highly significant at P < 0.01 in both populations, as well as the variance of genotype-by-environment interaction.
The significance test ( p > 0.05) was passed by the regions that accounted for 23.75% of the total area, while the highly significant test (( p < 0.01) was passed by the regions that accounted for 54.22% of the total area.
The coefficient of determination ( R 2 ) of each fitting equation was highly significant ( 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.
The results showed a highly significant positive correlation (across environment = 0.83; p <0.01), indicating the efficacy of simultaneous selection for both traits ( Sanjana Reddy et al. ).
3 Results 3.1 Nitrogen inputs in wolfberry farmland under varying water and nitrogen regulations Water, nitrogen and their interactions had highly significant effects ( P < 0.01) on the nitrogen content of irrigation water ( Figure 3A ) and total nitrogen input ( Figure 3B ).
Capital letters indicate an extremely significant difference, p < 0.01.
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 cultivar × treatment interaction was highly significant (F = 136.57, p < 0.01), indicating differential responses of the two cultivars under the second harvest conditions. 3.2.
Moreover, the three-way interaction of treatment × cultivar × year was highly significant ( Figure 2 , p < 0.01), suggesting that the combined effects of drought, genotype, and growing season are complex and non-additive. 3.2 Oat drought resistance index The drought resistance index (DI) of different oat cultivars over two years is presented in Figure 3 .
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).
epigeios in 2018 and 2019, all differences between the two treatments reached a significant ( P < 0.05) or extremely significant ( P < 0.01) level.
A highly significant positive correlation was observed between amino acids and chemical characteristics ( R = 0.931, p < 0.01), while a negative correlation with salt stress was also found ( R = − 0.915).
NUE, NR, GS, and RV all showed a highly significant positive correlation with pH and EB ( P < 0.01).
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 .
The negative correlation between Pn and NPQ is highly significant (r = −0.74, P ≤ 0.01).