Excerpts

Statistical Analysis Significant differences in physiological traits among treatments and genotypes were analyzed using Duncan’s multiple range test (DMRT) in DPS7.05 software, and the differences at p < 0.05 and p < 0.01 were considered significant and highly significant, respectively.

“Jinxuan” samples, the contents of these metabolites showed a significant trend ( Figure 4 ).

Consequently, there is an increasing trend for biofortification of feed crops with Zn to contribute to better Zn nutrition of livestock.

There is a weak trend for samples from limestone to show much lower Mg-concentrations but the data as collected are not amenable to statistical analysis.

The effect of growth form on N concentrations in plant tissue (close to significance after correction for multiple testing) explained 9.3% of the variance, whereas the full mixed-effects model (including random effects) explained 34% of the variance.

Another study in northwestern Spain showed a significant trend towards an increase in the temperature-related bioclimatic indices [ 58 ].

However, the Eps-7D × temperature interaction was significant but not cross-over: the NIL with the Eps-7D - late allele was always later to flower than that with the early allele ( Figure 1 ), although the magnitude and level of significance of the difference between NILs with the late or early allele was affected by the growing temperature (i.e., difference was least, and non-significant under SD, at 18 °C and largest and clearly significant at 9 °C; Figure 1 A,B).

A clear trend related to resistance level for GSB was observed with the presence/absence of susceptible (S) and resistance (R) alleles of the QTLs ( Figure 4 a).

In spite of the statistically insignificant difference between the five groups of naturalness from the aspect of land use, Figure 2 b (right), Figure 3 b (right), and Figure 4 b (right) show a clear trend of decreasing intensity of management at higher degradation level.

This was particularly evident for spike traits, showing a highly significant G × Y interaction ( Table 2 ).

The general bioprocess, “cellular process” (GO:0009987), is also highly enriched in the D10W30 gene set, with an odds estimate of 2.25 and a highly significant p -value of 2.76 × 10 − 8 .

In the combined analysis of variance, the main effects, genotypes and environments were highly significant (52 + 136.1)/284.1 and explain 66.2% of total variation.

Genotype, environment and its interaction were highly significant.

Moreover, a slightly increasing trend was observed in T 0 , T 1 , T 2, and T 6 from class 5 to class 9 ( Figure 5 b).

The predominance of water limitation on dryland plant diversity showed a weak trend with decreasing aridity, while the effects of energy on plants were found to be significant in mesic regions.

Population size, as well as the size of each subpopulation, showed significant fluctuations during the monitoring period (except for subpopulations Mb6 and Mb12 which showed an increasing trend).

One highly significant SNP on chromosome 1 (SNP:1_30038228 (T/C); q -value < 0.01) was associated with the SDW ratio ( Figure 4 c; Table 2 ).

Overall, the NPP showed an increasing trend over Northeast China, with the average rate being 4.48 gC/m 2 ·a.

The NPP showed a decreasing trend that was mainly concentrated on grass, crop, and disturbed forest areas. 2.3.

Specific leaf weight (SLW), the dry weight of a leaf divided by its area, does show a clear trend with blue light significantly increasing SLW.

Mean Variability in Seedling Traits In the experimental setup including 127 wheat genotypes and two growing conditions, highly significant variation was unveiled among the wheat genotypes in both growing conditions for all seedling traits ( Table S2 ).

Biochar temperature also had an important effect, with a positive trend in AMF root colonization under B400 addition.

The root dry biomass (RDB) values showed a clear trend under low-irrigation doses, where +B+AMF treatments led to better results.

The effect of the mycorrhiza treatment was hardly significant.

Regional and local environmental and soil conditions must be taken in consideration when planting a new orchard and may be significant contributors to BP predisposition.