Micro- Weather Factors during Rice Heading Period Influencing the Development of Rice Bacterial Grain Rot

Lee, Yong-Hwan; Ko, Sug-Ju; Cha, Kwang-Hong; Choi, H. O.; Lee, Doo-Goo; Noh, Tae-Hwan; Lee, Seungdon; Han, Kwang-Seop

doi:10.5423/rpd.2004.10.3.167

Cited by 4 publications

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“…As mentioned previously, heading and flowering stages are the most vulnerable period for bacterial panicle blight; prolonged high temperatures and frequent rainfall during this period are extremely important environmental predispositions for epidemics of this disease (Cha et al ., 2001; Tsuchima et al ., 1995). Several disease‐forecasting models for bacterial panicle blight have been developed based on various factors during the rice heading period, including the presence of the pathogen in flag leaf sheaths (Tsuchima et al ., 1996), severely infected panicles at early heading stages (Tsuchima et al ., 1995) and micro‐weather conditions (Lee et al ., 2004).…”

Section: Epidemiologymentioning

confidence: 99%

Burkholderia glumae: next major pathogen of rice?

Ham¹,

Melanson

Rush

2010

Molecular Plant Pathology

203

193

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Bacteria exhibit an optimal growth rate in culture media with sufficient nutrients at an optimal temperature and pH. In addition, the concentration of solutes plays a critical role in bacterial growth and survival. Glutamate is known to be a major anionic solute involved in osmoregu-lation and the bacterial cell's response to changes in solute concentration. To determine how glutamate uptake is involved in osmoregulation in the rice bacterial pathogen Burkhol-deria glumae BGR1, we mutated the gltI gene encoding a periplasmic substrate binding protein of a glutamate transport system to abolish glutamate uptake, and monitored the growth of the gltI null mutant in Luria-Bertani medium. We found that the gltI null mutant showed a slower growth rate than the wild-type strain and experienced hyperosmotic stress resulting in water loss from the cytoplasm in stationary phase. When the incubation time was extended , the mutant population collapsed due to the hyperosmotic stress. The gltI null mutant exhibited loss of adaptability under both hypoosmotic and hyperosmotic stresses. The growth rate of the gltI null mutant was restored to the level of wild-type growth by exogenous addition of glycine betaine to the culture medium, indicating that glycine betaine is a compatible solute in B. glumae. These results indicate that glutamate uptake from the environment plays a key role in osmoregulation in B. glumae.

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Section: Epidemiologymentioning

confidence: 99%

Burkholderia glumae: next major pathogen of rice?

Ham¹,

Melanson

Rush

2010

Molecular Plant Pathology

203

193

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“…Disease incidence of BGR and heading dates of rice plants are affected by weather conditions ( Lee et al, 2004 ; Oldeman et al, 1987 ; Yokoyama and Okuhara, 1987 ). The difference in heading date and BGR incidence of a rice cultivar between transplanting dates in Table 1 suggested that the variations in disease incidence was due to difference in weather conditions at the different time-windows of heading stage.…”

Section: Discussionmentioning

confidence: 99%

“… Yokoyama and Okuhara (1987) also reported that BGR occurred severely when the average daily minimum temperature was 23°C during the five days in the middle of heading stage of rice plants with rainfall of 5–30 mm/day. With regard to relative humidity, humid conditions or rainfall were emphasized in order to have severe disease incidence, but no specific relative humidity was reported to be a minimum for BGR ( Lee et al, 2004 ; Yokoyama and Okuhara, 1987 ). By having RH base = 80% in the BGRcast model, dry conditions that would not be favorable for bacterial growth and infection were eliminated from the calculation of environmental conduciveness.…”

Section: Discussionmentioning

confidence: 99%

“…The weather-driven models developed by Lee et al (2004) were linear regression models with various weather factors as predictor variables. They selected a multiple regression model with six predictor variables including minimum and average temperatures and relative humidity, number of rainy days and average wind speed during 7 days from 3 days before to 3 days after the heading date.…”

mentioning

confidence: 99%

“…In this study, we have analyzed disease and weather data that were obtained from multi-year field experiments in 1998–2004 and 2010. Of the data sets, the same data from 1998 were used in the previous study to develop linear regression models ( Lee et al, 2004 ).…”

mentioning

confidence: 99%

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BGRcast: A Disease Forecast Model to Support Decision-making for Chemical Sprays to Control Bacterial Grain Rot of Rice

Lee

Cha

et al. 2015

The Plant Pathology Journal

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A disease forecast model for bacterial grain rot (BGR) of rice, which is caused by Burkholderia glumae, was developed in this study. The model, which was named ‘BGRcast’, determined daily conduciveness of weather conditions to epidemic development of BGR and forecasted risk of BGR development. All data that were used to develop and validate the BGRcast model were collected from field observations on disease incidence at Naju, Korea during 1998–2004 and 2010. In this study, we have proposed the environmental conduciveness as a measure of conduciveness of weather conditions for population growth of B. glumae and panicle infection in the field. The BGRcast calculated daily environmental conduciveness, Ci, based on daily minimum temperature and daily average relative humidity. With regard to the developmental stages of rice plants, the epidemic development of BGR was divided into three phases, i.e., lag, inoculum build-up and infection phases. Daily average of Ci was calculated for the inoculum build-up phase (Cinf) and the infection phase (Cinc). The Cinc and Cinf were considered environmental conduciveness for the periods of inoculum build-up in association with rice plants and panicle infection during the heading stage, respectively. The BGRcast model was able to forecast actual occurrence of BGR at the probability of 71.4% and its false alarm ratio was 47.6%. With the thresholds of Cinc = 0.3 and Cinf = 0.5, the model was able to provide advisories that could be used to make decisions on whether to spray bactericide at the pre- and post-heading stage.

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Liquid smoke to Control Bulkholderia glumae and Growth Promoter of Rice Seeds

Nurfadillah¹,

Giyanto²,

Mutaqin³

et al. 2022

J Fitopatol Indones

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Penyakit busuk bulir padi yang disebabkan oleh Bulkholderia glumae merupakan penyakit penting yang dapat ditularkan melalui benih padi. Berbagai teknik pengendalian penyakit busuk bulir padi telah dikembangkan untuk mencegah kehilangan hasil panen, salah satunya menggunakan asap cair. Asap cair banyak dikaji sebagai agens pengendalian berbagai penyakit tanaman. Penelitian ini bertujuan menentukan potensi asap cair untuk pengendalian penyakit busuk bulir padi yang disebabkan oleh B. glumae dan sebagai pemacu pertumbuhan bibit padi. Tahapan penelitian terdiri atas: uji potensi asap cair terhadap B. glumae, uji fitotoksisitas asap cair dan pengaruhnya terhadap pertumbuhan benih padi, serta uji keefektifan asap cair dalam menekan B. glumae pada benih terinfeksi. Hasil penelitian menunjukkan bahwa asap cair dengan konsentrasi 2% dapat menekan perkembangan B. glumae secara in-vitro dan tidak menyebabkan fitotoksisitas pada benih padi dengan indeks vigor 90% dan daya berkecambah 90% dibandingkan dengan kontrol dengan nilai indeks vigor dan daya berkecambah sebesar 76% dan 83%. Asap cair dengan konsentrasi 2% juga dapat menekan keparahan penyakit pada fase pembibitan dengan tingkat hambatan relatif 43.8%. Adapun nilai panjang plumula bibit padi pada perlakuan asap cair 2% ialah sebesar 5.87 cm. Nilai plumula tersebut lebih besar dibandingkan dengan kontrol yang hanya sebesar 5.22 cm. Berbeda dengan plumula, nilai panjang radikula tidak mengalami peningkatan signifikan dibandingkan dengan kontrol.

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Micro- Weather Factors during Rice Heading Period Influencing the Development of Rice Bacterial Grain Rot

Cited by 4 publications

References 0 publications

Burkholderia glumae: next major pathogen of rice?

Burkholderia glumae: next major pathogen of rice?

BGRcast: A Disease Forecast Model to Support Decision-making for Chemical Sprays to Control Bacterial Grain Rot of Rice

Liquid smoke to Control Bulkholderia glumae and Growth Promoter of Rice Seeds

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