High-throughput screening of heat stress response in Chinese cabbage (<i>Brassica rapa</i> L. ssp. <i>pekinensis</i>) seedlings using integrated 3D multispectral phenotyping and time-series analysis.

Plant Phenomics · 2026 · PMC13375928 · PMID 42490990

Europe PMC DOI

hedged sentence

0.0010

closest p · 0.0× alpha

0.0010

boldest claim

The sentences

highly significantp < 0.001actually significant

Analysis of variance for growth parameters Two-way ANOVA revealed highly significant genotype effects on all measured parameters (p < 0.001, Table 2 ), indicating substantial genetic variation among the 18 Chinese cabbage genotypes.

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Quoted from the open-access full text in Europe PMC under the licence the publisher applied. The sentence is reproduced exactly as published; the emphasis is ours.

High-throughput screening of heat stress response in Chinese cabbage (&lt;i&gt;Brassica rapa&lt;/i&gt; L. ssp. &lt;i&gt;pekinensis&lt;/i&gt;) seedlings using integrated 3D multispectral phenotyping and time-series analysis.

The sentences

High-throughput screening of heat stress response in Chinese cabbage (<i>Brassica rapa</i> L. ssp. <i>pekinensis</i>) seedlings using integrated 3D multispectral phenotyping and time-series analysis.