Nondestructive Phenomic Tools for the Prediction of Heat and Drought Tolerance at Anthesis in<i> Brassica</i> Species

<div class="floats-full-page floats-full-page-figure"><h2>Figure 6</h2><div class="floats-full-page-caption"><div>Heatmaps of genotypic correlations for various phenomic and agronomic traits at various days after treatment (DAT) measured in control (a), drought (b), heat (c), and combined heat and drought (d) stress treatments. For trait abbreviations see Table <a href="../tab2/">2</a>.</div></div><div class="floats-full-page-content"><table class="figure-group"><tr class="fig-image"><td><object data="https://d31iiq90dwlpfy.cloudfront.net/articles/plantphenomics/volume-2019/3264872/figures/3264872.fig.006.svgz" name="3264872.fig.006" type="image/svg+xml"></object></td></tr></table></div></div>

Figure 6 | Nondestructive Phenomic Tools for the Prediction of Heat and Drought Tolerance at Anthesis in<i> Brassica</i> Species

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Figure 6: Nondestructive Phenomic Tools for the Prediction of Heat and Drought Tolerance at Anthesis in<i> Brassica</i> Species

description

Figure 6 | Nondestructive Phenomic Tools for the Prediction of Heat and Drought Tolerance at Anthesis in Brassica Species

Figure 6

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<p>The open access journal <em>Plant Phenomics</em>, published in association with NAU, publishes novel research that advances plant phenotyping and connects phenomics with other research domains.</p>


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<p><em>Plant Phenomics'</em> editorial board is led by Seishi Ninomiya (University of Tokyo), Frédéric Baret (French National Research Institute for Agriculture, Food and Environment), and Zong-Ming Cheng (Nanjing Agricultural University/University of Tennessee) and is comprised of leading experts in the field.</p>


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<p>Open to submit: <strong><a href="https://spj.sciencemag.org/plant-phenomics-special-issues/plant-functional-phenotyping/">Plant Functional Phenotyping</a></strong>; <strong><a href="https://spj.sciencemag.org/plant-phenomics-special-issues/time-series-phenotyping/">Advances in Proximal Sensing and Image Analysis for Time-Series Phenotyping</a></strong>​​​​​; <strong><a href="https://spj.sciencemag.org/plant-phenomics-special-issues/pma2022/">PMA2022</a></strong>;&nbsp;<strong><a href="https://spj.sciencemag.org/plant-phenomics-special-issues/object-detection/">Object Detection and Image Segmentation for Plant Phenotyping</a></strong></p>

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Plant Phenomics | Science Partner Journal

The open access journal Plant Phenomics, published in association with NAU, publishes novel research that advances plant phenotyping and connects phenomics with other research domains.