The association between phaseolin type and cluster membership was highly significant and nearly complete (χ 2 = 174.72; df = 1; P < 0.0001; Cramér's V = 0.93).
Excerpts
Data analyses for soil C, N, and K showed a highly significant interaction between year and soil type (C: P < 0.0001; N: P < 0.0001; K: P = 0.0009).
The ANOVA indicated a highly significant GxY interaction for GZn [ p < 0.0001, F (374, 563) = 1.78] and a non-significant GxY for GFe [ p = 0.06, F (374, 561) = 1.15].
In the same region, we identified several markers near-significant ( p < 0.0001) for crown rust reaction and severity and one marker significant for days to anthesis (GMI_ES03_c7453_413).
The regressions implicating altitude and latitude of provenances were highly significant ( P < 0.0001), resulting in R 2 ranging between 0.21 and 0.51 (Table 2 ).
The analysis of variance for stem rust reaction showed highly significant differences ( P < 0.0001) among accessions included in the whole collection, the durum sub-sample and Q2 group.
14 C-glyphosate Uptake and Translocation Assays The differences in foliar uptake of 14 C-glyphosate between the resistant hairy beggarticks populations compared to the S population were highly significant ( P < 0.0001; DF = 2; n = 60) ( Figure 3A ).
Likewise, there was a highly significant difference in dry biomass at all tested separation distances (p-value<0.0001) ( Figure 5C ).
The multi-locus model for GWAS resulted in the identification of 15 highly significant associations ( p < 0.0001) for culm strength traits.
Accessions with different polymorphisms at bPb-9668 and bPb-0003 showed highly significant differences in salinity tolerance ( P < 0.0001, Figure 5A ; Supplementary Table S2 ).
As shown in Figure 6 , analysis of the core W-box motif (TTGACY) in promoters of these genes by POBO (Materials and Methods) shows that enrichment of this motif is highly significant ( p -value < 0.0001) compared to randomly selected promoters from all Arabidopsis genes.
Nonetheless, a highly significant and negative correlation between free-ABA and total anthocyanins was observed for both irrigation treatments ( r = −0.76, p ≤ 0.0001) in the 2 years.
Mean performances and analysis variance The pooled ANOVA indicated highly significant differences for restorer lines, with a significant effect of environments and G × E interaction (GEI) ( p < 0.0001) for all of the studied traits, indicating substantial phenotypic variation among the 240 rice restorer lines across the three test environments for all of the traits studied.
Influence of light treatment on plant height was highly significant ( p < 0.0001).
The difference between the distribution center of the two subpopulations was highly significant [ F (6, 85) = 11.246, P < 0.0001].
wheat landraces Ethiopian tetraploid wheat association analysis yellow rust resistance 90 K wheat SNP array Highly significant differences were observed among accessions and accessions by environments ( P < 0.0001) in ANOVA analyses for stripe rust response in the field tests, but no significant difference was detected among environments.
Variance analyses showed that the effects of population, photoperiod treatment and population × photoperiod treatment interaction on days to bolting, days to flowering, rosette leaf number, and flower stem length were highly significant ( P ≤ 0.0001; Supplementary Table S2 ).
As shown in Supplementary Table 1 , there were extremely significant differences in phenotype between different environmental conditions ( P < 0.0001).
The highly significant slopes ( P < 0.0001) between the linear relationships ranged from 0.7 to 1.1, with the weakest relationships apparent for Q. robur (average slope of 0.8 for all methods), likely caused the relatively low amount of detect vessels and its variance between methods.
The results of ANOVA analysis showed highly significant ( P<0.0001 ) variances of genotype ( G ), environment ( E ) and genotype × environment ( G × E ) interaction for the SOC ( Table 1 ).
Plant height of the 55 genotypes was also highly significant (P<0.0001), ranging from 33-100 cm.
3 Results 3.1 Effects of climate, geographic site, land-use system, and their interactions on tree diversity Among the factors tested, land-use system had a highly significant effect ( P < 0.0001) on tree species richness, abundance, evenness, and Shannon diversity indices ( Table 3 ).
Two-way ANOVA revealed highly significant genotype effects for TaExpA6 (p < 0.0001), with Bonferroni’s multiple comparisons test showing consistent and significant changes in mRNA levels at 10, 14, and 21 DAA (adjusted p-value < 0.05, Figure 6E ).
The first component explained the largest portion of the variance, accounting for 41.144% with an eigenvalue of 9.463224, and was highly significant (chi-square = 30699.3, p < 0.0001).
Positive effects of favorable alleles have additive effects The study of the correlation between the number of QTLs with NPQTL and DI revealed that in five datasets, both showed a highly significant negative correlation (r = −0.48–0.71, p < 0.0001), with the mean dataset exhibiting the strongest correlation (r = −0.71; p < 0.0001) ( Supplementary Figure S3 ).