News Articles

Stay updated with the latest developments and discoveries in the world of plants and horticulture with our News Articles category. Here, you’ll find timely updates on conservation efforts, botanical breakthroughs, gardening trends, and industry news. Whether it’s a new species discovery, tips for sustainable gardening, or global botanical initiatives, this section keeps you informed and connected to the ever-evolving plant world. Perfect for enthusiasts, researchers, and nature lovers looking to stay in the know.

COP16 Dispatch: Week 2 Open Source and LLMs, Reflections from the Back Row of COP16

Cristian Román shares unique insights from attending COP16 in Cali, Colombia, exploring the interplay of science, policy, and equity. Highlights include challenges with proprietary biodiversity tools, ethical concerns surrounding AI in policy compliance, and academia’s role in negotiations, raising critical questions about accessibility, collaboration, and power dynamics.

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Building roots in glass, a bio-inspired approach to creating 3D microvascular networks using plants and fungi

Researchers have developed a new bio-inspired approach to building complex 3D microfluidic networks by utilizing plant roots and fungal hyphae as molds. The team grew plants and fungi in nanoparticles of silica, then baked out the plants and solidified the glass. What remains is glass with micrometer-sized networks where the roots used to be.

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Building roots in glass, a bio-inspired approach to creating 3D microvascular networks using plants and fungi

Researchers have developed a new bio-inspired approach to building complex 3D microfluidic networks by utilizing plant roots and fungal hyphae as molds. The team grew plants and fungi in nanoparticles of silica, then baked out the plants and solidified the glass. What remains is glass with micrometer-sized networks where the roots used to be.

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Using channel pruning–based YOLOv5 deep learning algorithm for accurately counting fish fry in real time

Abstract

In aquaculture, accurately counting fish fries is a prerequisite for fish population management and marketing. However, due to the fry overlapping and occlusion issues, the manual counting method is time-consuming, and the counting result might be inaccurate. Therefore, we utilized the computer vision technique to develop a lightweight fish fry counting model to address this issue. First, we constructed a diverse dataset containing images of largemouth bass in varying numbers, captured under different lighting conditions and water depths. Then, we optimized the YOLOv5s model by channel pruning to reduce the model size, while maintaining the detection accuracy. Through extensive experiments, we examined the effect of different pruning rates on the model performance and compared the pruned YOLOv5s model with state-of-the-art detection models through the evaluation criteria like precision, recall, mean average precision (mAP), model size, GFLOPs, and detection speed. In addition, we investigated the impact of environmental factors, such as lighting conditions and water depths, on the detection performance of the pruned YOLOv5s model. The experimental results demonstrated that the YOLOv5s model with a pruning rate of 15% achieved over 90% accuracy and 13 FPS in the dense and complex scenes, which met the practical requirement for the fry counting task. In addition, we also identified that the pruned YOLOv5s model would achieve the optimal performance under the white illumination and shallow water depth setting. In conclusion, this study provided an efficient solution for fish fry counting, and the proposed model was expected to be applied in the real-world application.

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Transcriptome analysis of hepatopancreas revealed the role of autophagy under nitrite stress in Pacific white shrimp (Penaeus vannamei)

Abstract

Nitrite constitutes a significant pollutant that impedes the growth of P. vannamei. Conventional treatments are primarily geared toward decreasing nitrite concentrations from an environmental standpoint. Nevertheless, investigating methodologies to enhance the ability of Pacific white shrimp to withstand nitrite-induced stresses on an individual basis remains an unexplored topic. The present study examines the impact of autophagy on Pacific white shrimp’s response to high nitrite environments through rapamycin injection. The research findings indicate that activating autophagy can effectively enhance the survival rate of Pacific white shrimp under high nitrite conditions. Additionally, total hemocyte count (THC) results in the hemolymph demonstrate that autophagy can alleviate the reduction in blood cell count caused by nitrite stress. The transcriptome results show that upregulation of 718 genes and downregulation of 1071 genes after nitrite stress. The majority of these differentially expressed genes (DEGs) were related to physiological processes, including oxidative stress, energy metabolism, and lysosomes. In addition, there were 911 upregulated genes and 713 downregulated genes upon activation of autophagy. These DEGs are associated with immune responses, specifically involving glutathione metabolism, drug metabolism-cytochrome P450, and metabolism of xenobiotics by cytochrome P450, lysosomes, autophagy, phagosomes, melanization, and MAPK signaling pathways. These pathways can reduce oxidative stress and promote the metabolism of harmful substances in the body, in shrimp, thereby improving their survival rates. These findings provide new insights for research aimed at enhancing nitrite tolerance in Pacific white shrimp.

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