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Survey of fungal foliar and panicle diseases of Sorghum in important Agro-Ecological zones of Tanzania

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Title Survey of fungal foliar and panicle diseases of Sorghum in important Agro-Ecological zones of Tanzania
 
Identifier https://doi.org/10.21421/D2/KA1GQD
 
Creator Samuel Njoroge
John Peter Takan
Elias Letayo
Patrick Okoth
Daniel Ajaku
Anil Kumar
Abhishek, Rathore
Henry Ojulong
Eric Manyasa
 
Publisher ICRISAT Dataverse
 
Description A survey was conducted in 2014 to determine the prevalence of fungal diseases on sorghum across different agro-ecological zones in Tanzania. In Tanzania, 37 sorghum fields were sampled in Dodoma and Singida Provinces representing the central drier areas, and in Simiyu, Shinyanga, Mwanza, and Mara Provinces representing the humid Lake-zone region, Farmers were purposively selected and at least 30 plants per field along two diagonal transects were visually assessed for disease. Ten and 14 diseases were identified in Tanzania respectively. Among the major diseases identified, those more prevalent in Tanzania than in Uganda were leaf blight caused by Setosphaeria turcica (P= 0.0031) and rust caused by Puccinia purpurea (P < 0.0001). Major diseases, more prevalent in Tanzania, were anthracnose caused by Colletotrichum sublineola (P = 0.0207) and zonate leaf spot caused by Gloeocercospora sorghi (P=0.0312). We report for the first time, the occurrence of ladder leaf spot caused by Cercospora fusimaculans, confirm its occurence in Tanzania. This is the first comprehensive sorghum disease survey report in over 15 years in both countries. The survey will help prioritise research and extension efforts to manage these diseases.





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Subject Agricultural Sciences
Sorghum
Leaf blight
Foliar Anthracnose reponse
Ladder leaf spot
Covered smut
Head smut
Sorghum Rust Incidence
Gray leaf spot
Oval leaf spot
Zonate leaf spot
Rough leaf spot
Sorghum Downy mildew incidence
Bacterial leaf
Ergot disease incidence
Sooty stripe disease presence
Tea Leaf Spot
Head Mold
Fusarium wilt
Kernal smut
Charcoal
 
Date 2014
 
Contributor Administrator
 
Type Phenotypic data