Excerpts

Additionally, stem height and leaf number showed an increasing trend with increasing years in the N1C2, while there was a decreasing trend with decreasing years among the other treatments.

A highly significant negative correlation was also detected between BT and ST, FW, FD; SSC and FSI, FW, FL, FD; and FD and FSI ( Supplementary Table 4 ; Figure 3 ).

natans The chlorophyll (a+b) of different light treatments had different trends, the 5% light treatment had an increasing trend, which increased by 26.7% on the 60th day compared with the 12th day, while the 20% light treatment had a decreasing trend, and the 60th day decreased by 38% compared with the 12th day.

With the increase of experimental time, the root/leaf ratio of the four groups under 5% light treatment showed a decreasing trend.

At 7 DAS, root lengths significantly increased when seedlings were exposed to 0.25 mg/ml WBC450, and an increasing trend was observed at 0.5 mg/ml WBC450.

Under B toxicity conditions, the BCFs of B in different organs showed a trend of BCF NL+F > BCF NL−F > BCF OL+F > BCF OL−F > BCF peel and BCF pulp regardless of soil total B and soil water-soluble B, and there is no difference between BCF peel and BCF pulp ( Figure 10 ).

The experimental years showed the same trend of change, both increasing with irrigation or precipitation replenishment and showing a decreasing trend with garlic growth and continuation ( Figure 6 ).

Pearson correlation analysis showed that the increase in yield was accompanied by the decrease in N 2 O emission, and there was a highly significant negative correlation between yield and N 2 O emission ( R = − 0.64), and there was a significant negative correlation between RE N and N 2 O emission ( R = − 0.37), with the higher the RE N , the lower the N 2 O emission.

The emission peaks basically showed a trend of ST > CF > PM > BR, except for the emission peak after fertilization in wheat season, which showed a trend of PM > CF > ST > BR.

The difference in selenium contents in the panicles was particularly highly significant, exhibited ~50% high contents in high-selenium genotypes with 0.07 mg/kg compared to the low-selenium genotypes with 0.03 mg/kg ( Figure 1D ). 3.2 Transcriptome sequencing analysis of contrasting genotypes The transcriptome sequencing analysis was performed on four (2057B, 5097B, CH727, and YNSM) genotypes: root, stem, leaf, and panicle samples to explore the genes involved in selenium uptake and transport during rice growth.

However, this specific data about taxa differentiation is difficult to explain because we could not find a clear trend in the large diversity of functions found in these fungi and bacteria taxonomic groups.

Saprotrophs showed an increasing trend with Meloidogyne density.

Potassium fulvic acid improves nutrients in mono-cropped soil and promotes tobacco plant growth Tobacco continuous cropping experiment showed that with the increase of continuous cropping years, the soil organic matter content was basically unchanged, the pH decreased, the quick-acting nitrogen, phosphorus and potassium content generally showed a decreasing trend, and the content of most trace elements showed a decreasing trend.

The plant height of T2 and T3 treatments showed an increasing trend compared to conventional fertiliser application, the maximum leaf length of T2 and T3 treatments was the best compared to conventional fertiliser application, the maximum leaf width of T2 treatment was the best compared to conventional fertiliser application at 60d, the stem girth of T2 treatment showed an increasing trend compared to conventional fertiliser application, and the effective number of leaves of T2 and T3 treatments was continuously increasing compared to conventional fertiliser application ( Table 4 ).

Furthermore, a clear trend although not significant at all time-points was detected ( Figures 2A, B ).

Highly significant correlations between the biomass of individuals and their P score were found in these scenarios (r 2 above 0.4 in 460 out of 504 cases, combining the different communities and considering both Sp1 and Sp2).

On the other hand, the Cox/Cunox curve reveal an increasing trend in the contents of C2 and C3, which rised from 0.37 to 1.10 after 576 h, indicating a rapid increase in hydroxyl, carbonyl, and carboxyl groups.

Moreover, in garlic, the concentration of IAA showed an initial increase followed by a decreasing trend during the embryo induction period, reaching a peak in the EC phase.

The PCA analysis revealed a clear trend of isolation among the three accessions at different developmental stages based on the detected metabolite variables ( Figure 1B ).

Additionally, the U value in the vegetation area decreases with increasing distance along the path, while the non-vegetated area (L 4-4 ) shows an increasing trend with distance.

TKE in the boundary area between vegetation and non-vegetation (L 3-3 ) shows a decreasing trend with increasing patch fragmentation ( Figure 12B 3 ).

Following exogenous ETH treatment, the expression of SdGA20ox1 showed a trend of decreasing and then increasing, and it was significantly higher than at 0 hours after 24 hours of treatment ( Figure 2C ).

3.3.2 Soil NH 4 + -N In the potato field, the soil NH 4 + -N content showed a decreasing trend with the soil depth increasing at harvest ( Figures 7A–C ).

The results of this study showed that potato starch, vitamin C and protein content with the increase of nitrogen application showed a trend of increasing and then decreasing, and reached the peak under N2 treatment (nitrogen application of 185 kg ha -1 ), which is consistent with the previous finding that the quality of potato tubers with the increase of fertilizer application showed the pattern of change of the single-peak curve ( Wang et al., 2017 ).

Results The findings revealed that the Random Forest (RF) model was highly significant with a high R 2 of 0.809 and R M S E of 0.776 when hormone descriptors were excluded, and the inclusion of hormone descriptors further improved prediction accuracy to R 2 of 0.839, making it a useful tool for predicting the fucoxanthin yield.