Effect of weather parameters on the development and progression of rice blast disease in Jammu plains

Pandit, Devanshi; Singh, Arun Kumar; Singh, S. K.; Singh, V. B.

doi:10.1007/s42360-022-00577-7

Cited by 3 publications

(6 citation statements)

References 9 publications

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“…It has been reported that temperature above 30°C is always required for different stages of life cycle of P. oryzae 44 . Temperature have been reported to be key environmental factor for the infection of RBD [45]. The positive correlation of max temp and negative correlation of min temp with RBD during our revelations are in line with the ndings of previous researches 46, 47 .…”

Section: Discussionsupporting

confidence: 92%

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Predicting Rice Blast (Pyriculariaoryzae) Severity Using Epidemiological Data with Advanced Regression Modeling Strategies

Arooj,

Ahmad,

Ali

et al. 2024

Preprint

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Rice blast is a detrimental disease widely prevalent in the world. Many disease predictive models have been developed for Rice blast disease (RBD) in different regions, but the disease prediction modeling in semi-arid areas is less characterized. Here, we focused on developing a disease predictive model (DPM) for rice blast disease (RBD) based on eight-year (2009–2016) environmental variables and their correlation with the RBD severity data, followed by validation with two-year (2017–2018) field trial data in a semi-arid region of Pakistan. Besides the correlation analysis, the model implied multiple linear regression analysis. The DPM indicated that five environmental variables maximum (Max) and minimum (Min) temperature, rainfall (RF), relative humidity (RH) and windspeed (WS), significantly contributed to the development of RBD during eight years. The obtained values of standard statistical indicators, coefficient of determination (R2) low standard error (SE) ≤ 10, and significance of F-distribution of regression statistics proved the effectiveness in predicting RBD for eight years. Furthermore, the criteria of root-mean square error (RMSE) and error (%) of 8 year data and observed data suggested a striking closeness between old and observed values of RBD severity, indicating the effective reliability of the model in both contexts. The analysis of 8 year DPM data showed that five environmental variables (max and min temps, RF, RH and WS) could cause up to 92% variability in RBD. Except for min temp, which showed a negative correlation suggesting a minor influence on disease development, the other four environmental factors exhibited a positive correlation with RBD severity, indicating the maximum contributing factors in disease development. The developed model helped us to predict the ranges of environmental factors, Max and Min temp 40–42°C and 22–24°C, RF 2-2.5 mm, RH 50–70%, and WS 9–11 Km/h, significantly favorable for RBD. The current prototype DPM of RBD has the potential for practical application if combined with a weather prediction system, which could be useful in developing rice blast disease warning system in the semi-arid zone of Punjab and predicting the appropriate time of the fungicidal sprays.

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Section: Discussionsupporting

confidence: 92%

“…No weedicide was applied in research plots and weeds were controlled through hoeing. The detail of culture preparation, puri cation and identi cation of isolate (KSKR-8) of P. oryzae, used in this study, has already been mentioned comprehensively in our previously published paper 45 .…”

Section: Data Collection Of Rbd Severitymentioning

confidence: 99%

Predicting Rice Blast (Pyriculariaoryzae) Severity Using Epidemiological Data with Advanced Regression Modeling Strategies

Arooj,

Ahmad,

Ali

et al. 2024

Preprint

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“…Templeton et al (1960) concluded that climatic conditions from booting, flowering and grain filling considerably influence the severity of this disease. According to Whitney and Frederiksen (1975) and Dodan and Singh (1995) kernel smut development is favoured by frequent but light rainfall during heading. Cartwright et al (1996) proved that rice receiving nightly wetness during heading had notably more numbers of smutted kernels per panicle.…”

Section: Resultsmentioning

confidence: 99%

“…Chahal and Kaur (2003) have reported the positive correlation between flower opening duration and disease incidence. Altering sowing time in a way that the susceptible stage of crop does not coincide with the favourable environment for the pathogen infection can be considered as a strategy to create disease escape for minimizing crop losses due to pathogens (Dodan & Singh, 1995). In this study we used 10 different cultivars to find the most suitable time of sowing in order to avoid successful infection by secondary sporidia of T. barclayana to the developing kernels.…”

Section: Resultsmentioning

confidence: 99%

“…In contrast, Cartwright et al (1996) Chahal and Kaur (2003) have reported the positive correlation between flower opening duration and disease incidence. Altering sowing time in a way that the susceptible stage of crop does not coincide with the favourable environment for the pathogen infection can be considered as a strategy to create disease escape for minimizing crop losses due to pathogens (Dodan & Singh, 1995).In planting of early maturing varieties could significantly reduce false smut incidence. This submitted work concludes that the disease parameters of kernel smut of rice can be reduced by sowing commercial rice cultivars in second week of June in north India.…”

Section: Interaction Between Cultivars and Sowing Time In Relation To...mentioning

confidence: 99%

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Alteration in the sowing time as an effective cultural management practice against kernel smut of rice

Sharma

Singh

2023

Journal of Phytopathology

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Kernel smut of rice caused by Tilletia barclayana (Bref.) Sacc. and Syd., becomes a serious disease for seed production of rice under favourable environmental conditions. The disease has been listed as objectionable disease under the Indian Minimum Seed Certification Standards. In this study, effort has been made to generate information on the most suitable time of sowing of rice in relation to minimum disease parameters of kernel smut. Ten rice cultivars viz., PR 111, PR 114, PR 116, PR 118, PR 121, PR 122, PR 124, PR 126, PR 127 and PAU 201 were sown on three different dates of sowing (28 May; 10 June; and 24 June) at an interval of 14 days during the crop season 2019 and 2020 under natural epiphytotic conditions for disease development so as to focus on the most crucial time of disease development under natural field conditions. There was a gradual decrease in disease parameters of kernel smut with delayed sowing in case of all cultivars under study except variety PR 111. Coefficient of infection reduced uniformly with the delay in sowing time in different cultivars during the two consecutive crop seasons in all the test cultivars. Test weight (1000 grain weight) of rice did not vary significantly in response to alteration in sowing time indicating no adverse effect of late planting on the seed quality.

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Epidemiology of Rice Blast (Pyricularia oryzae) Disease in Central Punjab, Pakistan

Arooj,

Ahmad,

Akhter

et al. 2023

Int. J. Phytopathol.

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Rice blast disease (RBD) is mostly controlled by fungicides by the farmers of central Punjab, Pakistan. However, the use of fungicides by the farmers is excessive and ill-advised, resulting in the emergence of new resistant strains of Pyricularia oryzae. The ill-advised employment of fungicides can be timed exploring the role of environmental factors favourable for this disease. The objective of current study was to determine the most favourable weather conditions for RBD in central Punjab, Pakistan, where this crop is mostly cultivated. Environmental factors including maximum and minimum temperatures (max and min temp), rainfall (Rf), relative humidity (Rh) and wind speed (Ws) conducive for RBD were characterized during this study. For this purpose, eight years (2009-2016) RBD severity data of susceptible to highly susceptible genotypes together with environmental data (max and min temp, Rf, Rh and Ws) was collected from Kala Shah Kako (KSK), Rice Research Institute (RRI), Punjab, Pakistan. The genotypes were being cultivated for eight years in randomized complete block design (RCBD), and data was kept on recording during the months of high disease pressure. Data was collected after ten days interval using disease scoring scale developed by International Rice Research Institute (IRRI) during 1996. Simple linear regression models were used to determine the relationship of environmental factors with RBD severity. The variation in RBD severity due to environmental factors was determined using coefficient of determination (R2). In present study, the relationship of max temp, Rf, Rh and Ws with RBD severity was positive, significant and linear, however, the relationship of min temp with RBD severity was negative. Max temp 40-42°C, min temp 21-23°C, Rf 2-3mm, Rh 50-70% and Ws 9-11 Km/h were found to be most favourable environmental conditions for RBD severity. The current research disclosed the significant role of all five environmental factors in the spread of RBD. Thus, future predictive models could be established using these five environmental factors for more accurate prediction of this disease in rice belt of Punjab, Pakistan, to time the application of fungicides.

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Effect of weather parameters on the development and progression of rice blast disease in Jammu plains

Cited by 3 publications

References 9 publications

Predicting Rice Blast (Pyriculariaoryzae) Severity Using Epidemiological Data with Advanced Regression Modeling Strategies

Predicting Rice Blast (Pyriculariaoryzae) Severity Using Epidemiological Data with Advanced Regression Modeling Strategies

Alteration in the sowing time as an effective cultural management practice against kernel smut of rice

Epidemiology of Rice Blast (Pyricularia oryzae) Disease in Central Punjab, Pakistan

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