Excerpts

The p -values between W1 and W3, W2 and W3, and W4 and W3 were all less than 0.01, indicating highly significant differences among these treatments.

Additionally, the radius of gyration (Rg) value for the TaNHX structure exhibited a decreasing trend as the simulation time progressed, indicating a progressive compaction of the modeled structure.

For each sampling date, features with a variable importance in projection (VIP) score >1 in the OPLS‐DA model, |Log 2 FC| > 0.6 and p value < 0.05 were considered as significant and those with FDR < 0.10, VIP score >1, and |Log 2 FC| > 0.6 as highly significant.

Second, when the treatment effect was significant (or close to being significant), we performed Tukey’s multiple comparison test.

GWAS detected highly significant marker-trait association on chromosome 5D at 339.59 Mbp (correspond to 72.72 cM) associated with G% or GI in S1, S2 and their combined confirming the results of the QTL analysis and suggesting that the Qsd.alrc.5D identified in the first and second season in different but very close positions and in the combined analysis is the same QTL.

Shannon and Chao1 indices showed consistently higher alpha diversity in healthy plants, with differences ranging from non-significant in root-surrounding soil to significant in the rhizosphere and highly significant in the endosphere, indicating that bacterial wilt disrupts bacterial diversity most profoundly closer to the root interior ( Figure 1C ).

In the current study, NDVI and SPRI had a decreasing trend while MCARI, Ctr1, and Lic2 increased under ‘PEG’ ( Table 1 ).

The aboveground ecosystem multifunctionality (AEMF) showed a decreasing trend, while belowground ecosystem multifunctionality (BEMF) increased significantly ( p < 0.01) under the experimental warming treatment.

dahliae showed an increasing trend in reflectance across the entire wavelength range (350–2500 nm) as the disease progressed.

LCP displayed an increasing trend if respiration proportion in total leaf CO 2 exchange is high ( Kaipiainen, 2009 ).

The variation due to genotype (G) was highly significant for all the eight traits at a 0.001% level of significance, while the variation due to SA treatment (T) was found to be significant at different levels of significance, for instance, DTM (0.001%), GPS (0.001%), TGW (0.01%), and YPP (0.001%).

For bacteria, a decreasing trend was found for chemoheterotrophic functions between the HPP, LPP and NPP, while an increasing trend was found for nitrogen cycling.

The only highly significant correlation (r = -0.52519) found in our study was between elevation and the probability of meadow decline to the 30th percentile of the land during severe drought, with a smaller effect of slope and slope orientation on meadow drought ( Figure 15 ).

Predictably, an obvious trend was also seen in %ΔDhurrin ( Figure 4C ) from high- to low-dhurrin genotypes, which was markedly higher in the high-dhurrin genotypes.

Using the data on the distribution of 20 angiosperm traits from Hernández-Hernández and Wiens (2020) and a global FDR = 0.1 ( p -value threshold = 0.005), we found that 8 of the 20 traits exhibited a significant difference in trait value between family SR category, while one showed a trend ( Figure 5 ).

Fresh shoot weight at 8 DAP showed a decreasing trend from high-dhurrin level genotypes (SC1154-14E, 1790E, and BTX642) to low-dhurrin genotypes (TX7000, BTX623, and SC1506) across all treatments, except under sand+N (T3), where BTX623 and TX7000 had similar FSW as the high dhurrin genotypes ( Figure 3A ).

Analysis of volatiles in different stages and parts of loquat flowers By the analysis of GC and external standard methods ( Figure 2B ), the volatiles of loquat flowers at different stages showed a trend of increasing during the developmental stages of loquat flowers ( Figure 2A ).

Both of them showed an increasing trend in fruit firmness during the early stages (S1-S4) ( Figure 1B ).

In contrast to the values of genetic diversity in terms of Ho across collections, that showed a trend towards increasing from the whole collection to the smaller size of the core collection ( Figure 6A ), for the ATW trait, the means in the core collections decreased (CCC_20 = 18.27 g - CCC_3 = 15.54 g) with respect to the whole CCC (CCC_100 = 23.04 g) ( Table 3 ).

Conversely, some investigations result in scarce amounts of data that may be significant if combined with additional datasets, as long as they are properly preserved.

The allocation pattern of N and P content in different organs showed a trend of leaf > stem > root, while C content showed the opposite trend.

The contributions of trait toward yield showed an increasing trend, i.e., DM< DF< PH< PL< PL< HI< BPP< SW< SPP in the var.

The combined analysis of variance across eight environments shows that the effects of genotypes, environment, and their interactions were highly significant for all traits.

We observed an increasing trend in stochasticity in broadleaved trees (AM_BL and EcM_BL groups) during litter decomposition ( Figure 3 ).

Pearson’s correlation analysis revealed that association of plant yield and seed weight was positive and highly significant, depicting that these are yield-determinative traits.