Computerized Forecasting System(BLIGHTASIRRI) for Rice Sheath Blight Disease in the Philippines.

Kobayashi, Takashi; Ijiri, Tsutomu; Mew, T. W.; Maningas, Gerard; Hashiba, Teruyoshi

doi:10.3186/jjphytopath.61.562

Cited by 5 publications

(1 citation statement)

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“…This phase is a reflection of the soilborne phase of the pathogen. There is a debate regarding the nature of primary inoculum of rice sheath blight in the tropics: sclerotia (Palo, 1926; Hori & Anraku, 1971; Hashiba & Mogi, 1975; Kozaka, 1975; Hashiba, 1982; Roy, 1986) have long been regarded as the main sources of inoculum; however mycelium surviving in crop residues (Hori & Anraku, 1971; Mew et al ., 1980; Kobayashi et al ., 1995), and infected weeds (Kozaka, 1970; Damodar Naidu et al ., 1983) appear to play an important role as well. This first phase may be considered monocyclic (Savary et al ., 1997).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the spatiotemporal structure of rice sheath blight epidemics in a farmer's field

2001

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The spatiotemporal structures of two rice sheath blight epidemics were studied during two consecutive (rainy and dry) rice cropping seasons in a farmer's field in the Philippines. The amount of primary inoculum in the soil measured at transplanting was higher during the dry than during the rainy season, and showed nonaggregated spatial patterns in both seasons. Disease incidence (percentage tillers infected per hill) was monitored at weekly intervals on a (14 £ 17) grid of rice hills 1 m apart, at the centre of adjacent, nonoverlapping elementary quadrats of 5 £ 5 hills. The rate of disease increase at the onset of the epidemics was higher in the dry than in the rainy season, but was afterwards higher in the rainy than in the dry season. A C(a) test was used to test for overdispersion, and the betabinomial parameter u was used to assess disease aggregation in quadrats consisting of one, two, four, eight and 16 elementary quadrats. Aggregation was detectable at all quadrat sizes throughout the epidemic, according to the C(a) test. u was highest at epidemic onset and at the smallest (elementary) quadrat size, indicating a very strong aggregation of disease at the individual hill scale. u increased until disease incidence reached 40%, then declined over time. u values were generally smaller in the dry season. Semivariograms for both epidemics showed strong initial discontinuities, that is, large variance of disease incidence at the elementary quadrat scale. Some aggregation in the spatial distribution of disease incidence was indicated at higher scales in the rainy season, coinciding with the highest rate of disease increase. Semivariograms did not suggest any structure in the dry season, except for one date in the early epidemic stage. Spatiotemporal autocorrelation of disease incidence at 45 days after transplanting yielded very few variables that contributed significantly to describing the disease incidence and its increase in a given hill. In the rainy season these variables were disease incidence (or increase) in the nearest sampled neighbours, and disease incidence (or increase) observed 1 week earlier in the same hill. In the dry season only disease incidence (or increase) observed 1 week earlier in the same hill was significantly correlated with the current incidence (or its increase). The development of a spatial structure in distribution of disease is hypothesized to coincide with the spread of the pathogen from one hill to another, and with the shift from monocyclic to predominantly polycyclic processes in sheath blight epidemics. These results concur with previous reports in suggesting that management of rice sheath blight should first be directed against the leafborne, polycyclic phase of epidemics, rather than their initial phase.

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