The Application of Genomics and Bioinformatics to Recognize Soybean Pathogen Interaction in a Changing Climate Article Swipe
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.55627/pbulletin.002.02.0391
The changing climate and continuously increasing global population has posed immense pressure on plant scientists to ensure per capita availability of food under scarcity of natural resources. The present circumstances also enforce to understand how rising CO2 level caused greenhouse effect in the environment which causes rise in the temperature and consequently influence the development of plant disease epidemic, to predict the genomic-based models under changing environmental conditions and to ensure continued food production. The application of genomics and bioinformatics tools are the innovative approaches to understand plant pathogen interaction and prediction that offers unique opportunities to enhance plant yield, stability in quality and production, boost the resilience of soybean to integrate resistance genes in present cultivars to sustain yield under epidemic disease conditions in abruptly changing climate. However, genomics data can be used for genomic based selections and advanced bioinformatics tools can be used to make predictions for genotype by pathogen interaction whereas it had ever been remained a great challenge to homogenize the diverse genomic data to which advanced skills and expertise are required in handling bioinformatics tools. Bioinformatics and genomics have the potential to sustain yield for food security by selection of tolerant or resistant genetic combination for disease sensitive environments as well as to facilitate for maintaining food security and mitigate the effect of inversely changing climatic conditions.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- http://doi.org/10.55627/pbulletin.002.02.0391
- OA Status
- diamond
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4396587635Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.55627/pbulletin.002.02.0391Digital Object Identifier
- Title
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The Application of Genomics and Bioinformatics to Recognize Soybean Pathogen Interaction in a Changing ClimateWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-12-30Full publication date if available
- Authors
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Muhammad Rizwan Bashir, Ahsan Mohyo ud Din, Muhammad Sajid, Ejaz ul Hassan, Qamar Anser Tufail Khan, Muhammad Khurshid, Hafiz Saad Bin Mustafa, Ahmad Nawaz Gill, Hafeez ur Rehman, Umer IqbalList of authors in order
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https://doi.org/10.55627/pbulletin.002.02.0391Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.55627/pbulletin.002.02.0391Direct OA link when available
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Food security, Genomics, Biotechnology, Biology, Scarcity, Food processing, Population, Resource (disambiguation), Agriculture, Genome, Computer science, Ecology, Genetics, Gene, Medicine, Environmental health, Computer network, Microeconomics, Food science, EconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.climate | 2 |
| abstract_inverted_index.disease | 57, 122, 201 |
| abstract_inverted_index.diverse | 165 |
| abstract_inverted_index.enforce | 31 |
| abstract_inverted_index.enhance | 97 |
| abstract_inverted_index.genetic | 198 |
| abstract_inverted_index.genomic | 135, 166 |
| abstract_inverted_index.immense | 10 |
| abstract_inverted_index.natural | 25 |
| abstract_inverted_index.predict | 60 |
| abstract_inverted_index.present | 28, 115 |
| abstract_inverted_index.quality | 102 |
| abstract_inverted_index.soybean | 109 |
| abstract_inverted_index.sustain | 118, 187 |
| abstract_inverted_index.whereas | 153 |
| abstract_inverted_index.However, | 128 |
| abstract_inverted_index.abruptly | 125 |
| abstract_inverted_index.advanced | 139, 170 |
| abstract_inverted_index.changing | 1, 65, 126, 219 |
| abstract_inverted_index.climate. | 127 |
| abstract_inverted_index.climatic | 220 |
| abstract_inverted_index.epidemic | 121 |
| abstract_inverted_index.genomics | 77, 129, 182 |
| abstract_inverted_index.genotype | 149 |
| abstract_inverted_index.handling | 177 |
| abstract_inverted_index.mitigate | 214 |
| abstract_inverted_index.pathogen | 88, 151 |
| abstract_inverted_index.pressure | 11 |
| abstract_inverted_index.remained | 158 |
| abstract_inverted_index.required | 175 |
| abstract_inverted_index.scarcity | 23 |
| abstract_inverted_index.security | 191, 212 |
| abstract_inverted_index.tolerant | 195 |
| abstract_inverted_index.challenge | 161 |
| abstract_inverted_index.continued | 71 |
| abstract_inverted_index.cultivars | 116 |
| abstract_inverted_index.epidemic, | 58 |
| abstract_inverted_index.expertise | 173 |
| abstract_inverted_index.influence | 52 |
| abstract_inverted_index.integrate | 111 |
| abstract_inverted_index.inversely | 218 |
| abstract_inverted_index.potential | 185 |
| abstract_inverted_index.resistant | 197 |
| abstract_inverted_index.selection | 193 |
| abstract_inverted_index.sensitive | 202 |
| abstract_inverted_index.stability | 100 |
| abstract_inverted_index.approaches | 84 |
| abstract_inverted_index.conditions | 67, 123 |
| abstract_inverted_index.facilitate | 208 |
| abstract_inverted_index.greenhouse | 39 |
| abstract_inverted_index.homogenize | 163 |
| abstract_inverted_index.increasing | 5 |
| abstract_inverted_index.innovative | 83 |
| abstract_inverted_index.population | 7 |
| abstract_inverted_index.prediction | 91 |
| abstract_inverted_index.resilience | 107 |
| abstract_inverted_index.resistance | 112 |
| abstract_inverted_index.resources. | 26 |
| abstract_inverted_index.scientists | 14 |
| abstract_inverted_index.selections | 137 |
| abstract_inverted_index.understand | 33, 86 |
| abstract_inverted_index.application | 75 |
| abstract_inverted_index.combination | 199 |
| abstract_inverted_index.conditions. | 221 |
| abstract_inverted_index.development | 54 |
| abstract_inverted_index.environment | 43 |
| abstract_inverted_index.interaction | 89, 152 |
| abstract_inverted_index.maintaining | 210 |
| abstract_inverted_index.predictions | 147 |
| abstract_inverted_index.production, | 104 |
| abstract_inverted_index.production. | 73 |
| abstract_inverted_index.temperature | 49 |
| abstract_inverted_index.availability | 19 |
| abstract_inverted_index.consequently | 51 |
| abstract_inverted_index.continuously | 4 |
| abstract_inverted_index.environments | 203 |
| abstract_inverted_index.circumstances | 29 |
| abstract_inverted_index.environmental | 66 |
| abstract_inverted_index.genomic-based | 62 |
| abstract_inverted_index.opportunities | 95 |
| abstract_inverted_index.Bioinformatics | 180 |
| abstract_inverted_index.bioinformatics | 79, 140, 178 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 10 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/2 |
| sustainable_development_goals[0].score | 0.5099999904632568 |
| sustainable_development_goals[0].display_name | Zero hunger |
| citation_normalized_percentile.value | 0.11475404 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |