Vimalkumar C, Bappa Das, Sathiyaseelan K, E. Venu, Manu Sm, P. Sinha
{"title":"评估水稻鞘霉病在印度南部沿海各邦的发病风险","authors":"Vimalkumar C, Bappa Das, Sathiyaseelan K, E. Venu, Manu Sm, P. Sinha","doi":"10.35709/ory.2023.60.4.5","DOIUrl":null,"url":null,"abstract":"Rice sheath rot (Sarocladium oryzae) is an emerging disease in all rice ecosystems and considered as one of the major threats to rice production. For development of precise management strategies spatial distribution of infection risk is essential to ascertain epidemic nature of the disease. For risk estimation, temperature-based infection model has been designed and disease risk estimated as the monthly cumulative value of the daily infection index. Geo-spatial distribution of infection risk has been assessed for the coastal rice ecosystems based on 39 years of weather data and two years (2018 and 2019) of surveyed ground truth. Infection risk was noted to be higher in kharif than rabi season and the eastern coast was identified as hotspot. Yearly variation estimates has indicated rabi rice is likely to be vulnerable to climate change arising due to temperature rise. Infection risk prediction based on critical weather factor is useful in germplasm, fungicide evaluation along with development of management strategies.","PeriodicalId":19555,"journal":{"name":"ORYZA-An International Journal on Rice","volume":" 7","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessment of rice sheath rot disease risk for its establishment in Southern Coastal states of India\",\"authors\":\"Vimalkumar C, Bappa Das, Sathiyaseelan K, E. Venu, Manu Sm, P. Sinha\",\"doi\":\"10.35709/ory.2023.60.4.5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Rice sheath rot (Sarocladium oryzae) is an emerging disease in all rice ecosystems and considered as one of the major threats to rice production. For development of precise management strategies spatial distribution of infection risk is essential to ascertain epidemic nature of the disease. For risk estimation, temperature-based infection model has been designed and disease risk estimated as the monthly cumulative value of the daily infection index. Geo-spatial distribution of infection risk has been assessed for the coastal rice ecosystems based on 39 years of weather data and two years (2018 and 2019) of surveyed ground truth. Infection risk was noted to be higher in kharif than rabi season and the eastern coast was identified as hotspot. Yearly variation estimates has indicated rabi rice is likely to be vulnerable to climate change arising due to temperature rise. Infection risk prediction based on critical weather factor is useful in germplasm, fungicide evaluation along with development of management strategies.\",\"PeriodicalId\":19555,\"journal\":{\"name\":\"ORYZA-An International Journal on Rice\",\"volume\":\" 7\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ORYZA-An International Journal on Rice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35709/ory.2023.60.4.5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ORYZA-An International Journal on Rice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35709/ory.2023.60.4.5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Assessment of rice sheath rot disease risk for its establishment in Southern Coastal states of India
Rice sheath rot (Sarocladium oryzae) is an emerging disease in all rice ecosystems and considered as one of the major threats to rice production. For development of precise management strategies spatial distribution of infection risk is essential to ascertain epidemic nature of the disease. For risk estimation, temperature-based infection model has been designed and disease risk estimated as the monthly cumulative value of the daily infection index. Geo-spatial distribution of infection risk has been assessed for the coastal rice ecosystems based on 39 years of weather data and two years (2018 and 2019) of surveyed ground truth. Infection risk was noted to be higher in kharif than rabi season and the eastern coast was identified as hotspot. Yearly variation estimates has indicated rabi rice is likely to be vulnerable to climate change arising due to temperature rise. Infection risk prediction based on critical weather factor is useful in germplasm, fungicide evaluation along with development of management strategies.