Publications by authors named "Jinyoung Y Barnaby"

Filling fibers with nanomaterials can create new functions or modify the existing properties. However, as nanocomposite formation for natural cellulosic fibers has been challenging, little information is available on how the embedded nanomaterials alter the properties of cellulosic fibers. Here we filled brown cotton fibers with silver nanoparticles (Ag NPs) to examine their thermosensitive properties.

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Tillering and plant biomass are key determinants of rice crop productivity. Tillering at the vegetative stage is associated with weed competition, nutrient uptake, and methane emissions. However, little information is available on quantitative trait loci (QTLs) associated with tiller number (qTN), root biomass (qRB), and shoot biomass (qSB) at the active tillering stage which occurs approximately 6 weeks after planting.

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Article Synopsis
  • Global concerns about arsenic in rice trigger efforts to breed varieties that limit arsenic accumulation to ensure consumer safety, as well as tackle plant toxicity issues like straighthead disorder (StHD).
  • Genetic variation in resistance to StHD suggests that some rice plants may have developed natural mechanisms to reduce arsenic toxicity, possibly leading to co-located genetic markers for both reduced arsenic and StHD susceptibility.
  • Using advanced machine-learning methods and a comprehensive genome-wide analysis, researchers identified numerous quantitative trait loci (QTL) related to both arsenic content and StHD, providing valuable insights for future breeding strategies and genetic research in rice.
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Arsenic (As) accumulation in rice grain is a significant public health concern. Inorganic As (iAs) is of particular concern because it has increased toxicity as compared to organic As. Irrigation management practices, such as alternate wetting and drying (AWD), as well as genotypic differences between cultivars, have been shown to influence As accumulation in rice grain.

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Changes in the stomatal aperture in response to CO levels allow plants to manage water usage, optimize CO uptake and adjust to environmental stimuli. The current study reports that sub-ambient CO up-regulated the low temperature induction of the C-repeat Binding Factor (CBF)-dependent cold signaling pathway in Arabidopsis () and the opposite occurred in response to supra-ambient CO. Accordingly, cold induction of various downstream cold-responsive genes was modified by CO treatments and expression changes were either partially or fully CBF-dependent.

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Article Synopsis
  • Rice grain quality is a complex trait that affects its market value, influenced by genetic and environmental factors; traditional measurement methods include chemical, physical, and visual analyses.
  • A study evaluated hyperspectral imaging technology to assess rice grain quality and categorize samples by genetic type and growing conditions, utilizing data from the USDA mini-core collection across various locations.
  • The findings suggest that visible and near-infrared spectroscopy can effectively identify variations in rice grain quality, particularly the chalky grain trait, and support the mapping of key genetic regions related to these traits, indicating hyperspectral imaging is a promising tool for non-destructive phenotyping.
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While [CO] effects on growth and secondary chemistry are well characterized for annual plant species, little is known about perennials. Among perennials, production of Coffea arabica and C. canephora (robusta) have enormous economic importance worldwide.

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Access to adequate irrigation resources is critical for sustained agricultural production, and rice, a staple cereal grain for half of the world population, is one of the biggest users of irrigation. To reduce water use, several water saving irrigation systems have been developed for rice production, but a reliable system to evaluate cultivars for water stress tolerance is still lacking. Here, seven rice cultivars that have diverse yield potential under water stress were evaluated in a field study using four continuous irrigation regimes varying from saturation to wilting point.

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Background: Non-destructive methods based on fluorescence hyperspectral imaging (HSI) techniques were developed to detect worms on fresh-cut lettuce. The optimal wavebands for detecting the worms were investigated using the one-way ANOVA and correlation analyses.

Results: The worm detection imaging algorithms, RSI-I , provided a prediction accuracy of 99.

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To evaluate the combined effect of temperature and CO on photosynthetic processes, leaf metabolites and growth, soybean was grown under a controlled environment at low (22/18°C, LT), optimum (28/24°C, OT) and high (36/32°C HT) temperatures under ambient (400μmolmol; aCO) or elevated (800μmolmol; eCO) CO concentrations during the reproductive stage. In general, the rate of photosynthesis (A), stomatal (g) and mesophyll (g) conductance, quantum yield of photosystem II, rates of maximum carboxylation (V), and electron transport (J) increased with temperature across CO levels. However, compared with OT, the percentage increases in these parameters at HT were lower than the observed decline at LT.

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Experiments were conducted in outdoor, naturally sunlit, soil-plant-atmosphere research (SPAR) chambers using plants grown in pots. Drought treatments were imposed on potato plants (Solanum tuberosum cv. Kennebec) beginning 10 days after tuber initiation.

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Maize (Zea mays L.) hybrids varying in drought tolerance were treated with water stress in controlled environments. Experiments were performed during vegetative growth and water was withheld for 19 days beginning 17 days after sowing.

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Maize (Zea mays) was grown in indoor chambers with ambient (38 Pa) and elevated (70 Pa) CO(2) . Drought treatments were imposed 17 days after sowing by withholding nutrient solution. Decreases of soil water content, leaf water potential, net CO(2) assimilation and stomatal conductance as a result of drought were delayed approximately 2 days by CO(2) enrichment.

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The principal immune mechanism against biotrophic pathogens in plants is the resistance (R)-gene-mediated defence. It was proposed to share components with the broad-spectrum basal defence machinery. However, the underlying molecular mechanism is largely unknown.

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