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Abstract

Modern agriculture and plant breeding must continuously meet the high and increasingly growing requirements of consumers and recipients. In this context, one of the conditions for effective management of any farm is access to quick and efficient diagnostics of plant pathogens, the result of which, together with the assessment of experts, provide breeders with tools to effectively reduce the occurrence of plant diseases. This paper presents information about biodiversity and spectrum of endophytic and phytopathogenic bacterial species identified in plant samples delivered to the Plant Disease Clinic in 2013–2019. During the tests, using the Biolog Gen III system, the species affiliation of the majority of detected bacterial strains found in plant tissues as an endophyte and not causing disease symptoms on plants was determined. These data were compiled and compared with the number of found identifications for a given species and data on the pathogenicity of bacterial species towards plants. In this way, valuable information for the scientific community was obtained about the species composition of the bacterial microbiome of the crop plants studied by us, which were confronted with available literature data. In the study, special attention was paid to tomato, which is the plant most often supplied for testing in the Plant Disease Clinic due to its economic importance.
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Authors and Affiliations

Weronika Zenelt
1
Krzysztof Krawczyk
2
Natasza Borodynko-Filas
1
ORCID: ORCID

  1. Plant Disease Clinic and Bank of Plant Pathogen, Institute of Plant Protection – National Research Institute, Poznań, Poland
  2. Department of Molecular Biology and Biotechnology, Institute of Plant Protection – National Research Institute, Poznań, Poland
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Abstract

The field of plant pathology has adopted targeted genome editing technology as one of its most crucial and effective genetic tools. Due to its simplicity, effectiveness, versatility, CRISPR together with CRISPR-associated proteins found in an adaptive immune system of prokaryotes have recently attracted the interest of the scientific world. Plant disease resistance must be genetically improved for sustainable agriculture. Plant biology and biotechnology have been transformed by genome editing, which makes it possible to perform precise and targeted genome modifications. Editing offers a fresh approach by genetically enhancing plant disease resistance and quickening resistance through breeding. It is simpler to plan and implement, has a greater success rate, is more adaptable and less expensive than other genome editing methods. Importantly CRISPR/Cas9 has recently surpassed plant science as well as plant disease. After years of research, scientists are currently modifying and rewriting genomes to create crop plants which are immune to particular pests and diseases. The main topics of this review are current developments in plant protection using CRISPR/Cas9 technology in model plants and commodities in response to viral, fungal, and bacterial infections, as well as potential applications and difficulties of numerous promising CRISPR/Cas9-adapted approaches.
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Authors and Affiliations

Kallol Das
1 2
ORCID: ORCID
Benjamin Yaw Ayim
3
ORCID: ORCID
Natasza Borodynko-Filas
4
ORCID: ORCID
Srijan Chandra Das
5
F.M. Aminuzzaman
2
ORCID: ORCID

  1. College of Agriculture and Life Sciences, Kyungpook National University, Daegu 41566, Republic of Korea
  2. Department of Plant Pathology, Sher-e-Bangla Agricultural University, Sher-e-Bangla Nagar, Dhaka-1207, Bangladesh
  3. Ministry of Food and Agriculture, Plant Protection and Regulatory Services Directorate, Ashanti 23321, Ghana
  4. Plant Disease Clinic and Bank of Pathogens, Institute of Plant Protection – National Research Institute, Poznan, Poland
  5. Bangladesh Rice Research Institute, Rice Farming System Division, Regional Station, Gopalganj, Bangladesh
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Abstract

The world population is projected to reach 9.8 billion in 2050, and 11.2 billion in 2100 (United Nations) and people will need food, and decrease the farming land. Thus, the importance of Internet of Things (IoT) and Computer Science (CS) in plant disease management are increasing now-a-days. Mobile apps, remote sensing, spectral signature analysis, artificial neural networks (ANN), and deep learning monitors are commonly used in plant disease and pest management. IoT improves crop yield by fostering new farming methods along with the improvement of monitoring and management through cloud computing. In the quest for effective plant disease control, the future lies in cutting-edge technologies. The integration of IoT, artificial intelligence, and data analytics revolutionizes monitoring and diagnosis, enabling timely and precise interventions. Cloud computing facilitates real-time data sharing and analysis empower farmers to combat diseases with unprecedented efficiency. By harnessing these innovations, agriculture can embrace sustainable practices and safeguard crop health, ensuring a bountiful and secure future for the global food supply.
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Authors and Affiliations

Suborna Rani
1
Kallol Das
2
ORCID: ORCID
F.M. Aminuzzaman
3
ORCID: ORCID
Benjamin Yaw Ayim
4
ORCID: ORCID
Natasza Borodynko-Filas
5
ORCID: ORCID

  1. Faculty of Computer Science and Engineering, Patuakhali Science and Technology University, Patuakhali, Bangladesh
  2. College of Agriculture and Life Sciences, Kyungpook National University, Daegu, Republic of Korea
  3. Department of Plant Pathology, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh
  4. Ministry of Food and Agriculture, Plant Protection and Regulatory Services Directorate, Ashanti, Ghana
  5. Plant Disease Clinic and Bank of Pathogens, Institute of Plant Protection – National Research Institute, Poznan, Poland

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