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Forests ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 1034
Author(s):  
Hiroyuki Tobita ◽  
Mitsutoshi Kitao ◽  
Akira Uemura ◽  
Hajime Utsugi

To test the effects of elevated CO2 and soil N deficiency on N resorption efficiency (NRE) from senescing leaves in two non-N2-fixing deciduous broadleaved tree species, Japanese oak (Quercus mongolica var. grosseserrata Blume) and Painted maple (Acer mono Maxim. var. glabrum (Lév. Et Van’t.) Hara), potted seedlings were grown in a natural daylight phytotron with either ambient or elevated CO2 conditions (36 Pa and 72 Pa CO2) and with two levels of N (52.5 and 5.25 mg N pot−1 week−1 for high N and low N, respectively). We examined the N content (Nmass) of mature and senescent leaves, as well as photosynthesis and the growth of plants, and calculated both the mass-based NRE (NREmass) and leaf area-based NRE (NREarea). In both species, the Nmass of mature leaves decreased with high CO2 and low N, whereas the leaf mass per area (LMA) increased under elevated CO2, regardless of N treatments. In Q. mongolica, both the maximum rate of carboxylation (Vcmax) and the maximum electron transport rate (Jmax) were reduced by elevated CO2 and low N, but Vcmax exhibited an interactive effect of N and CO2 treatments. However, in A. mono, both the Vcmax and Jmax decreased under elevated CO2, regardless of N treatments. The partitioning of N for the photosynthetic function within leaves was also significantly decreased by elevated CO2 in both species and increased under low N in A. mono. The Nmass of senesced leaves decreased under low N in both species and exhibited an increase (Q. mongolica) or no effect (A. mono) by elevated CO2. The NREarea of Q. mongolica was affected by CO2 and N treatments, with a decrease under elevated CO2 compared to ambient CO2 and under low N compared to high N. The NREarea of A. mono was also affected by CO2 and N treatments and decreased under elevated CO2; however, unlike in the case of Q. mongolica, it increased under low N. We speculate that these interspecific differences in the responses of leaf N allocation, indicated by the photosynthetic (Vcmax and Jmax) and morphological (LMA) responses to elevated CO2, may have affected the NRE during defoliation under high CO2 and soil N-deficient conditions.


Plant Disease ◽  
2021 ◽  
Author(s):  
Zijia Peng ◽  
Zeyu Luo ◽  
Zhongdong Yu ◽  
Qianwen Chen ◽  
Yingyuan Chen

Acer mono Maxim, mainly distributed in China, Japan, Korea and eastern Russia (Shang et al. 2012), is a widely planted ornamental and pharmaceutical tree (Zhang et al. 2015). In September 2020, leaf samples of A. mono infected by uredinia were collected in Shaanxi Province (34°15’40.06’’ N, 108°3’54.54’’ E, alt. 432.35m), China. Telia development was observed in late autumn. Voucher specimens were deposited in the Herbarium Mycologicum Academiae Sinicae (no. HMAS249354), China. This led to premature defoliation and in the 90% planting wide incidence. Geospatial investigations revealed that this rust was widely distributed in local urban parks, but was nonpathogenic to A. buergerianum, A. negundo, A. oblongum, A. palmatum and A. rubrum. This fungus was morphologically characterized and most closely matched descriptions of Pucciniastrum. Uredinia were hypophyllous, subepidermal, scattered to gregarious, oval or round, 0.10–0.30 × 0.08–0.15 mm, golden yellow to orange, somewhat pulverulent. Peridia were hemispherical, erumpent with apical pores; peridial cells minute, irregularly polygonal, hyaline to pale yellow; ostiolar cells ellipsoid or roundish. Urediniospores were subglobose, ovate or ellipsoid, 20–33 × 15–21 μm, yellow to pale orange; wall 1–2 μm thick, hyaline to pale yellow, echinulate, somewhere smooth. Pedicels were deciduous, hyaline, minute, fragile. Telia were hypophyllous, subepidermal, intermixed with uredinia, irregularly polygonal, restricted by veins, 0.34–0.91 × 0.21–0.54 mm, and orange to amber brown. Teliospores were produced parallelly single-layered, and were subglobose, oblong, sometimes angular, 23–47 × 16–34 μm, colorless to pale yellow, 1–5 mediastinal, 2–6-celled; lateral wall 1–1.6 μm thick, apical wall 1–3 μm thick, smooth, hyaline. The internal transcribed spacer (ITS) and rDNA-28S regions were amplified using ITS1F/ITS4 and NL1/NL4 (Ji et al. 2019) to confirm the identification. The aligned sequences were deposited in GenBank (accession no. MW391829, MW543709, MW541916, MW541917). Phylogenetic trees were constructed based on neighbor-joining (NJ), maximum-likelihood (ML) and Bayesian methods. ML and NJ bootstrap values were calculated by bootstrap analyses of 1,000 replicates with GTR+G+I model using MEGA-X (Kumar et al. 2018), while Bayesian Markov chain Monte Carlo analyses were performed using MrBayes ver. 3.1.2 (Huelsenbeck & Ronquist 2001; Ji et al. 2019). Phylogenetic analysis revealed that HMAS249354 and Pucciniastrum hikosanense were grouped into one clade highly supported by bootstrap values of NJ, ML, and Bayesian posterior probability (Bpp) of 97%/93%/1, respectively. Koch’s postulates were fulfilled with 1-year-old healthy plants of A. mono. Fresh urediniospores were collected and suspended in a 0.05% water solution of Tween 20, and 100 μl of urediniospores suspension (106 urediniospores/ml) per leaf (n=10) were sprayed, with another ten healthy leaves sprayed with sterile water as the control. The plants were placed in dark for 48 h and then moved into greenhouse at 22°C with 12 h light per day. Disease symptoms after 10-12 days’ inoculation on the inoculated leaves which were identical to the original observations, while the control leaves remained healthy. Previously, P. hikosanense was reported to infect Acer rufinerve Sieb. et Zucc. in Japan (Hiratsuka 1940) and A. rubescens Hayata in Taiwan, China (Dai 1979). This is the first report of leaf rust of Acer mono caused by Pucciniastrum hikosanense Hirats. f. in China.


2021 ◽  
Vol 57 (3) ◽  
pp. 185
Author(s):  
Jin Hee Kim ◽  
Gwang Ha Hwang ◽  
Hyun Jung Kim ◽  
Songhee Jeon ◽  
Boo Ahn Shin
Keyword(s):  

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1979
Author(s):  
Se-Hoon Jung ◽  
Jun-Yeong Kim ◽  
Jun Park ◽  
Jun-Ho Huh ◽  
Chun-Bo Sim

This study set out to invent an Information and Communication Technologies (ICT)-based smart Acer mono sap collection electric device to make efficient use of the labor force by reducing inefficient activities of old manual work to record sap exudation and state information. Based on the assumption that environmental information would have close connections with Acer mono sap exudation to reinforce the competitive edge of production in forest products, the study analyzed correlations between Acer mono sap exudation and environmental information and predicted Acer mono exudation. A smart collection of electric devices would gather data about Acer mono sap exudation per hour on outdoor temperature, humidity, conductivity, and wind direction and velocity, and was installed in four areas in the Republic of Korea, including Sancheong, Gwangyang, Geoje, and Inje. Collected data were used to analyze correlations between environmental information and Acer mono sap exudation using four different algorithms, including linear regression, Support Vector Machine (SVM), Artificial Neural Network (ANN), and random forest, to predict Acer mono sap exudation. Remarkable outcomes were obtained across all the algorithms except for linear regression, demonstrating close connections between environmental information and Acer mono sap exudation. The random forest model, which showed the most outstanding performance, was used to make a mobile app capable of providing predicted Acer mono sap exudation and collected environmental information.


2019 ◽  
Vol 10 (2) ◽  
pp. 851-862
Author(s):  
Zhaopeng Song ◽  
Yanhong Liu ◽  
Hongxin Su ◽  
Jihua Hou

2019 ◽  
Vol 27 (3) ◽  
pp. 286-296
Author(s):  
Xie Lihong ◽  
◽  
Huang Qingyang ◽  
Cao Hongjie ◽  
Yang Fan ◽  
...  

2018 ◽  
Vol 166 (2) ◽  
pp. 677-687
Author(s):  
Wen Zhang ◽  
Zaimin Jiang ◽  
Han Zhao ◽  
Feng Feng ◽  
Jing Cai
Keyword(s):  

2018 ◽  
Vol 41 (6) ◽  
pp. 1278-1286 ◽  
Author(s):  
Wen Zhang ◽  
Feng Feng ◽  
Melvin T. Tyree
Keyword(s):  

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