Effect of Cultural Management Practices on the Severity of False Smut and Kernel Smut of Rice

Brooks, Steven A.; Anders, Merle M.; Yeater, Kathleen M.

doi:10.1094/pdis-93-11-1202

Cited by 80 publications

(55 citation statements)

References 10 publications

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“…However, it has now become an emerging disease and reported to be a concern in a number of rice growing countries including Africa (Ou, 1972), Bangladesh (Dhaka Tribune, 2013), China (Guo et al, 2012;Li et al, 2013), Egypt (Atia, 2004), Fiji (Ou, 1972), India (Devi and Singh, 2007;Arumugam and Tangamuthu, 2010;Singh et al, 2012), Italy (Ou, 1972), Japan (Ashizawa et al, 2010), Papua-New Guinea (Ou, 1972), Korea (Kim and Park, 2007), South America (Ou, 1972) and the United States (Brooks et al, 2009). A disease becomes an economically important especially when the YL becomes evident.…”

Section: Introductionmentioning

confidence: 99%

FLYER: A Simple Yet Robust Model for Estimating Yield Loss from Rice False Smut Disease (<i>Ustilaginoidea virens</i>)

Nessa¹,

Salam²,

Haque³

et al. 2015

American Journal of Agricultural and Biological Sciences

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Rice False Smut (RFSm) is presently an internationally important fungal disease of rice. While the Yield Loss (YL) from this disease is reported in many countries, there exists no tool to instantly estimate the YL by visual field inspection. This study developed a simple model, FLYER, for this purpose. The model is run by two inputs: (i) fraction of productive but diseased tillers in a field and (ii) averaged number of smut balls present in the diseased panicles. FLYER was developed using data from Bangladesh, India and Japan. The driving algorithm of the model, the yield reduction in a diseased panicle as a function of number of smut balls present in the panicle, was validated with additional data from Bangladesh and Japan. When tested with independent data from fields infected naturally by RFSm, FLYER closely estimated the Yield Loss (YL, %) against observed datasets from Bangladesh (Root Mean Squared Deviation (RMSD) = 1.15% YL), Egypt (RMSD = 1.65% YL) and India (RMSD = 1.68% YL). This model could contribute to rapid assessment of regional and variety-specific yield loss and strategic management of the disease on a field-by-field basis.

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Section: Introductionmentioning

confidence: 99%

FLYER: A Simple Yet Robust Model for Estimating Yield Loss from Rice False Smut Disease (<i>Ustilaginoidea virens</i>)

Nessa¹,

Salam²,

Haque³

et al. 2015

American Journal of Agricultural and Biological Sciences

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“…; teleomorph Villosiclava virens (Nakata) E. Tanaka & C. Tanaka) of rice (Oryza sativa L.) (Atia, 2004;Brooks et al, 2009;Ashizawa et al, 2010;Li et al, 2013;Singh et al, 2014). The importance of the disease in Bangladesh has been highlighted in recent literatures (Nessa et al, 2015a, b, and c).…”

Section: Introductionmentioning

confidence: 99%

Density and Distribution of False Smut Balls on Infected Rice Panicles

et al. 2017

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Rice false smut (RFSm), considered as a minor importance, has become a serious disease in many rice growing areas of Bangladesh and other parts of the world. Many aspects of its epidemiology still remained unclear, notable the life cycle of RFSm pathogen, its infection site and the smut ball formation on infected panicles. Present research was undertaken to investigate the density and distribution of false smut balls on infected rice panicles aiding to understand on how severe the disease can be in a rice-ecosystem, on which position the smut balls form on infected panicles and likely yield reduction from such disease severity. This study included field observation of natural RFSm infection during 2014, 2015 and 2016, and simulated infection during 2015 in T. Aman rice in the experimental farm of the Bangladesh Rice Research Institute (BRRI), Gazipur, Bangladesh. While the number of smut balls reached as many as 136 (recorded in one panicle in 2015), the study shows there was 81, 54 and 30% probability that maximum of nine, three and only one smut ball would form, respectively. With the scenarios of density of smut ball formation in the study area, the yield loss was estimated as 0.15% for each 1% incidence level. The level of smut ball density varied between years; this severity was most likely influenced by low daily minimum temperature. In the natural observation 34.4, 53.9 and 11.7% of the smut balls were located at the base, mid and apex part of the infected panicles, respectively. When compared the balls of these three positions in relation to potential grain number, the proportion accounted for the base and mid remained almost similar, whereas the proportion in the apex was much lower. It is concluded that false smut balls predominantly form on the lower half of the infected rice panicles.

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“…Tak. (teleomorph Villosiclava virens) (White et al, 2000;Tanaka et al, 2008), is one of the most serious diseases of rice world wide (Ou 1972;Rush et al, 2000;Ahonsi and Adeoti 2002;Atia 2004;Bischoff et al, 2004;Tsuda et al, 2006;Zhou et al, 2008;Brooks et al, 2009;Ladhalakshmi et al, 2012;Nessa et al, 2015a). The disease affects rice grains and induces considerable losses both in yield and quality (Atia, 2004).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Fungicides for the Control of Rice False Smut (Ustilaginoidea virens)

et al. 2017

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Outbreak of false smut, caused by the fungus Ustilaginoidea virens has been recorded in recent years in the popular rice variety BRRI dhan49 from various parts of Bangladesh. Registered and/or recommended fungicides are not yet available for chemically controlling the disease. Consequently, uses of unregistered fungicides are common by the farmers for the management of the disease. The present study was, therefore, undertaken to identify effectiveness of any fungicides to control rice false smut disease. Seven synthetic foliar fungicides were evaluated in the naturally induced diseased plots. Each fungicide was applied as spray twice, at panicle initiation and at early flowering stage. Compared to the control (no fungicide application), the fungicide Controller 300 EC reduced the hill infection by 57%, followed by Green 300 EC, Cuprofix 30 Disperss and Diazole 300 EC, each of those suppressed the hill infection by 50%. While Cuprofix 30 Disperss, compared to the control, resulted in the lowest number of infected panicle per hill, it was statistically similar to rest of the fungicides except for Confidence 10 SL. Fungicides and control did not have any significant variation on the number of infected florets per panicle. With respect to per unit (hill infection × number of infected panicle per hill) disease suppression Controller 300 EC was the best. However, none of the fungicides reached the level of the disease suppression, the essential criterion for registration and/or recommendation of a fungicide under Bangladesh conditions. It is concluded that more multi-location and multi-season experiments will be required to reach a decisive conclusion on foliar chemical options for controlling rice false smut disease under Bangladesh conditions.Bangladesh Rice j. 2016, 20(2): 61-66

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Effect of Cultural Management Practices on the Severity of False Smut and Kernel Smut of Rice

Cited by 80 publications

References 10 publications

FLYER: A Simple Yet Robust Model for Estimating Yield Loss from Rice False Smut Disease (<i>Ustilaginoidea virens</i>)

FLYER: A Simple Yet Robust Model for Estimating Yield Loss from Rice False Smut Disease (<i>Ustilaginoidea virens</i>)

Density and Distribution of False Smut Balls on Infected Rice Panicles

Evaluation of Fungicides for the Control of Rice False Smut (Ustilaginoidea virens)

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