Publications by authors named "Y Ohmori"
Indirect bypass using autologous tissue is effective in Moyamoya disease, especially among pediatric patients. This study aimed to evaluate the effectiveness of indirect bypass using DuraGen (absorbable artificial dura mater composed of collagen matrix), as a substitute for autologous tissue in a rat model of chronic cerebral hypoperfusion. Male Wistar rats were subjected to bilateral internal carotid artery occlusion and divided into three groups: a control group without bypass surgery, a group wherein indirect bypass was performed using the temporalis muscle (encephalo-myo-synangiosis [EMS] group), and a group wherein DuraGen was used (Dura group).
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- High-throughput phenotyping can streamline breeding cycles and reduce costs, focusing on biomass-related traits in soybean using UAV remote sensing and deep learning.
- In a 2018 field experiment with 198 soybean accessions, a convolutional neural network (CNN) was used to accurately estimate traits like dry weight and plant height from UAV-collected data.
- The study showed that deep learning could identify strong correlations between input data and phenotypic traits, highlighting the potential use of these insights in improving breeding practices.
While it is commonly understood that air temperature can greatly affect the process of photosynthesis and the growth of higher plants, the impact of root zone temperature (RZT) on plant growth, metabolism, essential elements, as well as key metabolites like chlorophyll and carotenoids, remains an area that necessitates extensive research. Therefore, this study aimed to investigate the impact of raising the RZT on the growth, metabolites, elements, and proteins of red leaf lettuce. Lettuce was hydroponically grown in a plant factory with artificial light at four different air temperatures (17, 22, 27, and 30°C) and two treatments with different RZTs.
View Article and Find Full Text PDFWe proposed models to predict the effects of genomic and environmental factors on daily soybean growth and applied them to soybean growth data obtained with unmanned aerial vehicles. Advances in high-throughput phenotyping technology have made it possible to obtain time-series plant growth data in field trials, enabling genotype-by-environment interaction (G × E) modeling of plant growth. Although the reaction norm is an effective method for quantitatively evaluating G × E and has been implemented in genomic prediction models, no reaction norm models have been applied to plant growth data.
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- - Nutritropism refers to how plant roots grow toward nutrients, specifically how rice roots bend and coil around ammonium (NH4+) sources due to a gradient of this nutrient.
- - The study analyzed the gene expression in different parts of bending root tips to understand how rice roots respond to nutrient signals, revealing distinct transcription patterns between the tissues facing the nutrients and those away from them.
- - It was found that auxin, gibberellin, and ethylene hormones play significant roles in this process, and that auxins accumulate more in the side of roots facing the ammonium sources, suggesting that the nutrient signal is converted into hormonal responses similar to how roots respond to gravity.