Rice crop's resistance against blast disease: A comprehensive review of past and present technologies
The global population is increasing at a rate of 0.85% per annum. For continuous supply of food to this huge population, rice plays an important role along with other food grains. The global rice production in 2022 is about 780 million tonnes (MT), of which India (265 MT) is the largest contributor...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Action for Sustainable Efficacious Development and Awareness
2025-05-01
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| Series: | Environment Conservation Journal |
| Subjects: | |
| Online Access: | https://journal.environcj.in/index.php/ecj/article/view/3409 |
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| Summary: | The global population is increasing at a rate of 0.85% per annum. For continuous supply of food to this huge population, rice plays an important role along with other food grains. The global rice production in 2022 is about 780 million tonnes (MT), of which India (265 MT) is the largest contributor, followed by China (255 MT). Various factors like soil fertility, water scarcity, climate change, pest infection, etc., affect the production of rice crops. Different diseases like blast disease, brown spot disease, bakanae disease, bacterial leaf blight disease, etc., also affect rice production. The compound effects of disease along with environmental factors largely reduce rice production. The blast disease in rice crops is caused by the infection of Magnaporthe oryzae. It affects rice production in about 85 countries and is responsible for about 10 to 30% loss in rice produce. Therefore, the objective of the current review is to explore the past and present technologies of developing resistance in rice crops against rice crops. To fulfill the objective, research was performed on various research platforms and journal websites using the given keywords. Then the obtained literature was studied, and the findings were compiled in the given paper. The findings of the current review suggest the use of artificial intelligence (AI) for disease detection and early control, the use of disease-resistant varieties, and integrated pest management to enhance rice crop production.
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| ISSN: | 0972-3099 2278-5124 |