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Number of results: 4
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Abstract

Banana blood disease (BBD), caused by Ralstonia syzygii subsp. celebesensis ( Rsc), is a major threat to banana production in Southeast Asia. This study aimed to assess the resistance of cultivated and wild banana accessions to Rsc and investigate the expression of pathogenesis- related (PR) protein genes, namely PR3 and PR10, in disease-resistant bananas. Bacterial isolates were isolated from infected bananas in Yala Province, Thailand, and their pathogenicity and phylotype were confirmed, along with Rsc-specific PCR. Rsc-resistance banana screening was conducted on 16 banana accessions, including cultivated and wild types, using representative Rsc isolates. ‘Khai Kasetsart 2’ exhibited resistance (R), followed by ‘Raksa’ with moderate resistance (MR). The expression of PR3 and PR10 genes was analyzed in the resistant ‘Khai Kasetsart 2’ and susceptible ‘Hin’ bananas, revealing distinct expression patterns. PR3 showed rapid upregulation on day 1 after inoculation (DAI), while PR10 exhibited sustained upregulation from 1 to 7 DAI in the resistant cultivar. These findings indicate the involvement of PR proteins in the defense response against Rsc and hold promise for future breeding and disease management strategies in bananas.
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Authors and Affiliations

Jariya Nitayaros
1
Thanwanit Thanyasiriwat
1
Aphidech Sangdee
2
Ladawan Rattanapolsan
1
Ratri Boonruangrod
3
Praphat Kawicha
1

  1. Plant Genome and Disease Research Unit, Department of Agriculture and Resources, Faculty of Natural Resources and Agro-Industry, Kasetsart University, Chalermphrakiat Sakon Nakhon Province Campus, Sakon Nakhon, Thailand
  2. Department of Biology, Mahasarakham University, Faculty of Science, Maha Sarakham, Thailand
  3. Department of Horticulture, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University Kamphaeng Saen Campus, Nakhon Pathom, Thailand
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Abstract

This paper presents a method of synthesizing copper powders by electrochemical method with the use of a rotating working electrode. The influence of the rotation speed of the working electrode, the current density, the concentration of copper ions, and the addition of ethylene glycol on the shape, size, and size distribution of the obtained powders were investigated. Properties of the synthesized powders were characterized by scanning electron microscopy (SEM) and X-ray powder diffractometry (XRD). It has been shown that it is possible to obtain copper powders with a size of 1 µm by an electrochemical method using the rotary cathode, in sulphate bath with addition of ethylene glycol as a surfactant. Increasing current density causes a decrease in the average size of the obtained powder particles. The addition of 2.5% of ethylene glycol prevents the formation of dendritic powders. The change in the concentration of copper ions in the range from 0.01 to 0.15 mol/dm3 in the electrolyte did not show any significant effect on the size of obtained particles. However, higher concentrations of copper limiting the presence of dendritic-shape particles. Changing the speed of rotation of the electrode affects both the size and the shape of synthesized copper powder. For the rotational speed of the electrode of 115 rpm, the obtained powders have a size distribution in the range of 0-3 µm and an average particle size of 1 µm. The particles had a polygonal shape with an agglomeration tendency.
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Authors and Affiliations

K. Wojtaszek
1
F. Cebula
1
B. Partyka
1
P. Deszcz
1
G. Włoch
1
R.P. Socha
2
K. Woźny
2
P. Żabiński
1
ORCID: ORCID
M. Wojnicki
1 2

  1. AGH University of Science and Technology, Faculty of Non-Ferrous Metals, Al. Mickiewicza 30, 30-059 Krakow, Poland
  2. CBRTP SA Research and Development Center of Technology for Industry, Ludwika Waryńskiego 3A, 00-645 Warszawa, Poland
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Abstract

The purpose of this paper is to develop a dynamic thermal model of a permanent magnet excited synchronous motor (PMSM). The model estimates the temperature at specific points of the machine during operation. The model is implemented using thermal network theory, whose parameters are determined by means of analytical approaches. Usually thermal models are initialized and referenced to room temperature. However, this can lead to incorrect results, if the simulations are performed when the electrical machine operates under “warm” conditions. An approach is developed and discussed in this paper, which captures the model in critical states of the machine. The model gives feedback by online measured quantities to estimate the initial temperature. The paper provides an extended dynamic thermal model, which leads to a more accurate and more efficient thermal estimation.

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Authors and Affiliations

Christelle Piantsop Mbo’O
Kay Hameyer

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