Barely Significant

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4 Discussion 4.1 Change characteristics of vegetation and meteorological factors and their relationship with yield Through the analysis of spectral reflectance frequency curves ( Figure 3 ), winter wheat exhibits an overall trend of “ Spectral compression and peak migration” across the three growth stages, reflecting the phasic changes in spectral response to vegetation growth.
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3.8 Linear regression analysis of pollen diffusion effects on outcross setting rate As shown in Table 4 , the t -test results indicated that both the number of sterile rows and pollen quantity had highly significant effects on the dependent variable (outcrossing seed-setting rate), with P -values less than 0.01.
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Twenty-one module-metabolite pairs exhibited correlation coefficients > 0.9 or < -0.9 ( P < 0.01), of which the turquoise module displayed highly significant positive or negative associations with five distinct metabolites, and the brown and black modules each correlated strongly with four metabolites.
Pure bamboo forests showed further reduction in total P, Citrate-P, Enzyme-P, and HCl-P, along with reduced CaCl 2 -P (except summer and winter) ( p < 0.05), with most P fractions (except CaCl 2 -P in summer, Citrate-P and HCl-P in summer and autumn, and Enzyme-P in summer) being lower in these stands than in mixed forests, which showed a decreasing trend with increasing expansion intensity.
Furthermore, in maize and sorghum, the number of BBXs in maize showed an increasing trend, while the number of BBXs in sorghum continued to decrease; the number of BBXs in Setaria species (foxtail millet and green millet) decreased to 16 and 17 ( Supplementary Figure 2 ).
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The qRT-PCR results showed a highly significant positive correlation with the RNA-seq data ( Supplementary Figure 3 ; Supplementary Table 2 ). 3.5 Integrated multi-evidence analysis identifies TraesCS6B03G1211800 as the causal candidate To robustly prioritize the causal gene from the 25 candidates and mitigate the risk of false negatives from expression screening alone, we employed a multi-layered evidence integration strategy.
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In the whole panel of wheat genotypes, a significant and positive correlation was observed for β-glucan with arabinoxylan (r = 0.52), D-xylose (r = 0.52), and protein (r = 0.58), whereas with starch and thousand-grain weight, β-glucan shows a highly significant and negative correlation (r = −0.63 and r = −0.51, respectively) ( Figure 3A ).