Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
increase » increased (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
increase » increased (Expand Search)
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301
IRE1 depletion decreases heterochromatin, DNA, and H3K9me3 methylation, and UHRF1.
Published 2025Subjects: -
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IRE1 depletion decreases heterochromatin, DNA and H3K9me3 methylation, and UHRF1.
Published 2025Subjects: -
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Design of the D-trial.
Published 2024“…An increase in PD led to a linear decrease in inflorescence yield per plant (<i>p</i> = 0.02), whereas a positive linear relationship was found for inflorescence yield (<i>p</i> = 0.0001) and CBD yield (<i>p</i> = 0.0002) per m<sup>2</sup>. …”
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304
Estimated mean values for light interception.
Published 2024“…An increase in PD led to a linear decrease in inflorescence yield per plant (<i>p</i> = 0.02), whereas a positive linear relationship was found for inflorescence yield (<i>p</i> = 0.0001) and CBD yield (<i>p</i> = 0.0002) per m<sup>2</sup>. …”
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305
Raw data V-trial.
Published 2024“…An increase in PD led to a linear decrease in inflorescence yield per plant (<i>p</i> = 0.02), whereas a positive linear relationship was found for inflorescence yield (<i>p</i> = 0.0001) and CBD yield (<i>p</i> = 0.0002) per m<sup>2</sup>. …”
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306
Raw data D-trial.
Published 2024“…An increase in PD led to a linear decrease in inflorescence yield per plant (<i>p</i> = 0.02), whereas a positive linear relationship was found for inflorescence yield (<i>p</i> = 0.0001) and CBD yield (<i>p</i> = 0.0002) per m<sup>2</sup>. …”
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Decreased childhood asthma hospitalizations linked to hotter, drier climate with lower wind speed in drylands
Published 2025“…A generalized additive model analyzed the association between these trends, and the Mann-Kendall test determined if trends were increasing, decreasing, or not significant. Thirteen municipalities showed a significant link between hospitalizations and climate variables, especially wind speed, maximum temperature, and humidity. …”
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