Excerpts

The yield of Sapindus mukorossi showed a highly significant linear positive correlation with the integrated scores (r=0.70, p <0.01).

Results Phenotypic Variation of GLS Resistance in the F 2 : 3 Families The t -tests of the differences in GLS resistance in the two parents within a site were highly significant ( P < 0.01; Table 3 ).

G × E Interaction Study of Selected Heat Tolerant Cotton Genotypes Mean squares showed highly significant ( P < 0.01) differences for mean SCY among genotypes, environments, and the G × E interaction ( Supplementary Table 4 ).

According to a chi-square test, out of 3,178 markers, 96 markers on the map showed distorted segregations ( P < 0.01) even though the extremely significant SNPs ( P < 0.01) were excluded, and the total segregation distortion ratio was 3.02%.

Variance analysis of MVN indicated that the effect of genotypic variance was highly significant ( P < 0.01) in single environments and across all environments, while the genotype × environment (G × E) interaction was highly significant ( P < 0.01) for across environments but environment variance was not significant.

Moreover, the three-way interaction of treatment × cultivar × year was highly significant ( Figure 2 , p < 0.01), suggesting that the combined effects of drought, genotype, and growing season are complex and non-additive. 3.2 Oat drought resistance index The drought resistance index (DI) of different oat cultivars over two years is presented in Figure 3 .

The nitrogen application rate had a highly significant effect on all indicators ( P < 0.01), and variety and growing year had significant effects on most indicators.

Correlation of leaf photosynthetic pigment content, photosynthetic characteristics, photosynthetic CO 2 curve characteristic parameters, and related enzyme activities with fruit yield As shown in Figure 8 , the SGW of ‘Flame Seedless’ grapes showed a highly significant positive correlation with the LSP, V cmax , Pn, WUE, and RuBisCO activity ( P ≤ 0.01) and offered a significant positive correlation with Chl a content and Chl b content ( P ≤ 0.05).

The significance test ( p > 0.05) was passed by the regions that accounted for 23.75% of the total area, while the highly significant test (( p < 0.01) was passed by the regions that accounted for 54.22% of the total area.

In the dataset comprising 48 isogenic pairs, the heritabilities for the BS39+SHGD group (PH: 0.70; EH: 0.70) were significantly higher than those of the BS39 group (PH: 0.30; EH: 0.56), with the difference being statistically highly significant (p=0.01).

The Spearman correlation matrix showed a compact block of positive and highly significant correlations (ρ > 0.6; p < 0.01) among SPAD, photosynthesis, yield, shoot biomass, root biomass, plant height, and harvest index ( Figure 3 ).

Trends in meteorological factors There was a highly significant ( P<0.01 ) increase in annual total precipitation across the herbaceous marsh regions of China from 2000 to 2020 ( Table 1 ; Figure 4 ).

Drought and re-watering alterations in leaf gas exchange and fluorescence dynamics in ectomycorrhizal seedlings of Mongolian pine Drought stress, re-watering, and ECM inoculation had exerted highly significant impact on the photosynthetic and chlorophyll fluorescence characteristics of seedlings ( P < 0.01).

Irrigation and N application treatments had a highly significant (P < 0.01) effect on LAI at each growth stage in both 2021 and 2022.

Among these, POC was the only factor showing a highly significant positive effect on both yield and ACY ( P < 0.01).

3.5 Effect of Si-NPs and IBA on proline and total protein level under Cr-stress Statistically highly significant ( P < 0.01) reducing impact was found under Cr stress for proline and total protein contents in freesia plants compared to the control.

Under PE mulching, the SWC showed a positively correlated with Pn and DM, with a highly significant correlation with Pn (P ≤ 0.01).

Combined ANOVA demonstrated highly significant (P ≤ 0.01) influences of both G and E on all micronutrients, whereas GEI effects were dependent on the nutrient and significant for Mn, Zn, and Se.

V, N, and T had significant effects on both fresh and dry weight (P<0.01), while the interaction effects of two or three of them reached highly significant levels on fresh weight (P<0.01), but the interaction of the three factors did not have significant effects on dry weight.

The ANOVA results showed both environmental and genotypic effects to be highly significant (p-value < 0.01) for most traits in all populations, except for UI in populations 1 and 6 ( Supplementary Table S2 ).

Analysis of variance and general yield response The analysis of variance (ANOVA) revealed highly significant effects ( P < 0.01) of genotype (V) and nitrogen application rate (N) on grain yield and all measured yield components, with the exception of the effect of N rate on filled grain percentage, which was significant at P < 0.05 ( Table 2 ).

Differences were regarded as statistically significant at P < 0.05 and highly significant at P < 0.01.

The effects of irrigation and fertilization factors on pumpkin stem thickness were highly significant (P<0.01).

Moreover, Castanopsis eyrei showed highly significant positive correlations with all diversity indices (P < 0.01), with correlation coefficients of 0.401, 0.438, 0.443, and 0.425, respectively.

The correlation with AK was highly significant ( P < 0.01).