Barely Significant

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On the other hand, we recorded negative covariations between ITV and ST for CWM_LN and CWM_LN: LP under N and P addition, suggesting there were contrasting trends through ST and ITV, leading to weakening responses a decreasing trend of these leaf traits at the community level following nutrient addition ( Siefert and Ritchie, 2016 ).
highly significantqualifiedgold
The correlation matrix indicated that the transcript levels of the genes, except CsaV3_6G046050 and CsaV3_5G032930, had a highly significant negative correlation with the relative growth rate in fruit length and had highly significant mutual positive correlations, suggesting that the asparagine synthetase gene, Cucumis sativus putative CCCH-type zinc finger protein CsSEF1, C. sativus BTB/POZ domain-containing protein At1g63850-like, CsaV3_3G000800, CsaV3_3G041280, and CsaV3_7G032930 are good markers of sugar starvation in cucumber fruit.
After 72 hours of low temperature treatment, the expression level of DnoNAC3 , DnoNAC7 , DnoNAC14 , DnoNAC62 , DnoNAC63 , DnoNAC65 , DnoNAC76 and DnoNAC78 genes showed a decreasing trend, and a total of 20 DnoNAC genes with DnoNAC5 , DnoNAC9 , DnoNAC10 , DnoNAC15 , DnoNAC19 , DnoNAC24 , DnoNAC28 , DnoNAC31 , DnoNAC37 , DnoNAC46 , DnoNAC53 , DnoNAC54 , DnoNAC55 , DnoNAC57 , DnoNAC58 , DnoNAC59 , DnoNAC68 , DnoNAC79 , DnoNAC84 and DnoNAC85 showed an increasing trend in expression, in which the expression of DnoNAC37 , DnoNAC57 and DnoNAC68 was significantly increased.
In GC-MS analysis, the differential metabolites mainly included organic oxygen compounds (5–23), organic acids and their derivatives (2–20), lipids and lipid-like molecules (8–10), organic heterocyclic compounds (2–7), phenylpropanoids and their derivatives (1–5), among others ( Figure 3 ), while the CK group combined with obstacle group analysis revealed that 19 metabolites were quantified ( Figure 2L ); 12 metabolites showed an increasing trend and 7 metabolites showed a decreasing trend (VIP>1, Table S3 ). 3.4 Metabolic pathways of differential abundant metabolites The above significantly altered metabolites are involved in several important metabolic pathways.
Correlation analysis As shown in Figure 6 , the NAG (N accumulation amount in grain), NAL (N accumulation amount in leaf), NAP (N accumulation amount in plant), LAGR (leaf area growth rate), DMAR (dry matter accumulation rate), LIR (light interception rate of population), NS(number of population spikelets), FSE (fruiting spikelets per ear), GFRE (grain filling rate per ear), and Y (yield) were all significantly (p<0.05) positively correlated with each other, indicating that there were positive (significant or markedly significant) mutual promotion interactions among each factor.