This article aims to gauge students’ perceptions of the Dutch Party for Animals (PvdD) in order to reflect on the political representation of nonhumans (animals). The support for political representation of nonhumans is based on the ethical underpinning of deep ecology; growing recognition of the importance of sustainability; and increased societal support for animal rights and welfare. This article reflects on these developments using Bachelor students’ assignments from a Sustainable Business course, which asked them to reflect on the underlying principles of the PvdD. Student assignments indicate that educational efforts targeted at fostering ecological citizenship have a positive effect on the recognition and acceptance of ecocentric values. https://doi.org/10.1163/15685306-00001660 LinkedIn: https://www.linkedin.com/in/helenkopnina/
MULTIFILE
This article aims to gauge students’ perceptions of the Dutch Party for Animals (PvdD) in order to reflect on the political representation of nonhumans (animals). The support for political representation of nonhumans is based on the ethical underpinning of deep ecology; growing recognition of the importance of sustainability; and increased societal support for animal rights and welfare. This article reflects on these developments using Bachelor students’ assignments from a Sustainable Business course, which asked them to reflect on the underlying principles of the PvdD. Student assignments indicate that educational efforts targeted at fostering ecological citizenship have a positive effect on the recognition and acceptance of ecocentric values. https://doi.org/10.30560/sdr.v1n1p11 LinkedIn: https://www.linkedin.com/in/helenkopnina/
Background: Profiling the plant root architecture is vital for selecting resilient crops that can efficiently take up water and nutrients. The high-performance imaging tools available to study root-growth dynamics with the optimal resolution are costly and stationary. In addition, performing nondestructive high-throughput phenotyping to extract the structural and morphological features of roots remains challenging. Results: We developed the MultipleXLab: a modular, mobile, and cost-effective setup to tackle these limitations. The system can continuously monitor thousands of seeds from germination to root development based on a conventional camera attached to a motorized multiaxis-rotational stage and custom-built 3D-printed plate holder with integrated light-emitting diode lighting. We also developed an image segmentation model based on deep learning that allows the users to analyze the data automatically. We tested the MultipleXLab to monitor seed germination and root growth of Arabidopsis developmental, cell cycle, and auxin transport mutants non-invasively at high-throughput and showed that the system provides robust data and allows precise evaluation of germination index and hourly growth rate between mutants. Conclusion: MultipleXLab provides a flexible and user-friendly root phenotyping platform that is an attractive mobile alternative to high-end imaging platforms and stationary growth chambers. It can be used in numerous applications by plant biologists, the seed industry, crop scientists, and breeding companies.
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