A Model for Predicting Occurrence of Leaf Blast Disease in Rice Crop by Using Fuzzy Logic Techniques

2019 ◽  
pp. 19-25
Author(s):  
Bhavna Chilwal ◽  
P. K. Mishra
Keyword(s):  
Fuzzy Logic ◽  
Rice Crop ◽  
Blast Disease ◽  
Leaf Blast

scholarly journals Empirical Study on Effect of Silicon Application on Rice Blast Disease and Plant Morphology in Indonesia

2016 ◽  
Vol 8 (6) ◽  
pp. 137 ◽  
Author(s):  
Adha Fatmah Siregar ◽  
Husnain Husnain ◽  
Kuniaki Sato ◽  
Toshiyuki Wakatsuki ◽  
Tsugiyuki Masunaga
Keyword(s):  
Block Design ◽  
Plant Morphology ◽  
Blast Disease ◽  
Growth And Yield ◽  
Physical Barrier ◽  
Leaf Blast ◽  
Stomata Density ◽  
Randomized Complete Block Design ◽  
Tissue Surface ◽  
Leaf P

<p>Si fertilizer was never used in rice cultivation by farmers in Indonesia. To evaluate the effect of Si application on blast disease, plant morphologies, and stomata formation on rice plant, a field experiment was conducted in West Java, Indonesia. Two treatments, Si+ (with 1000 kg ha<sup>-1 </sup>of silica gel) and Si- (without Si application) were set in a randomized complete block design. The results showed that Si application in soil with high available Si 426 mg SiO<sub>2</sub> kg<sup>-1</sup> significantly reduce leaf (p &lt; 0.01) and neck (p &lt; 0.05) blast disease infection and increased stomata density (p &lt; 0.01). Si- had severer leaf blast infection than Si+ which could reach up to score 4 and 5. Si deposited on the tissue surface acts as a physical barrier by thickening the Si layer in cuticle which could decrease the number of blast lessions on leaf blades by limiting hypa penetration and invasion. Recently there was no report to prove whether Si deposition improves or changes the stomata density. The results confirmed that Si application have the potential of improving rice growth and yield through the increase of resistance to blast infection and increment in stomata density although they did not result in the yield increment in the present study.</p>

Ratings of Rice Leaf Blast Disease Based on Image Processing and Stepwise Regression

2019 ◽  
Vol 35 (6) ◽  
pp. 1037-1043
Author(s):  
Maohua Xiao ◽  
Ziang Deng ◽  
You Ma ◽  
Shishuang Hou ◽  
sanqin Zhao
Keyword(s):  
Image Processing ◽  
Regression Analysis ◽  
Rice Blast ◽  
Stepwise Regression ◽  
Objective Assessment ◽  
Texture Features ◽  
Stepwise Regression Analysis ◽  
Blast Disease ◽  
Leaf Blast ◽  
Variance Method

Abstract. Multi-feature fusion of morphology and texture featuresStepwise regression analysis to distinguish disease areas from natural brown areasCalculate the ratio of the total area of the diseased area to the area of the leaf area to obtain the disease level Abstract. In this research, an evaluation method involving digital image processing and stepwise regression was studied to establish an efficient and accurate rating system for studying rice blast disease. For this purpose, the R-G image was segmented by using maximum interclass variance method in which the lesion and naturally withered region was extracted from the leaves. Then, 240 lesion areas and 240 natural yellow areas were selected as samples. During the experiment, ten morphological features and five texture features were extracted. Subsequently, for lesion identification, stepwise regression analysis, SVM and BP neural network were used. In the results, regression analysis of naturally yellow areas showed the highest accuracy in lesion identification, reaching 93.33% for disaster-level assessment of identified lesion areas. On the basis of the results, it is evident that 153 samples were correctly classified into divisions of 160 tested different rice blast leaves, with 95.63% classification accuracy. This study has introduced a new method for objective assessment of leaf blast disease. Keywords: Disease classification, Lesion identification, Maximum interclass variance method, Rice blast, Stepwise regression.

scholarly journals Reaction of Different Rice Lines Against Leaf and Neck Blast under Field Condition Of Chitwan Valley

2006 ◽  
Vol 27 ◽  
pp. 37-44 ◽  
Author(s):  
KD Puri ◽  
SM Shrestha ◽  
KD Joshi ◽  
GB KC
Keyword(s):  
Field Condition ◽  
Rice Blast ◽  
Blast Resistance ◽  
Blast Disease ◽  
Resistant Variety ◽  
Pyricularia Grisea ◽  
Leaf Blast ◽  
Neck Blast ◽  
Chitwan Valley ◽  
Moderately Resistant

The severity of the rice blast disease (Pyricularia grisea) of both leaf and neck varies with different environment and it becomes destructive under favorable condition. The leaf and neck blast resistance and susceptible interaction of 30 different tropical rice lines were evaluated under low-, mid- and up-land conditions of Chitwan district and classified on the basis of disease severity with respect to susceptible check, Masuli. Of them, 5, 10, 12 and 3 rice lines were resistant to leaf blast, moderately resistant, moderately susceptible susceptible, respectively. Similarly, for the neck blast nine lines were resistant, thirteen moderately resistant, seven moderately susceptible and one was susceptible. The progenies from Masuli/MT4 had the highest leaf and neck blast susceptible reaction, while the most of progenies from IPB (Irradiated Pusa Basmati), KalinghaIII_IR64, Radha 32_ KIII and Masuli_IR64 were resistant, and the most promising sources against leaf and neck blast resistance. Therefore, the progenies from these parents can be used in breeding the resistant variety. Key words: Pyricularia grisea, resistance, rice lines J. Inst. Agric. Anim. Sci. 27:37-44 (2006)

scholarly journals EFFICACY OF BIOFUNGICIDES ON THE YIELD PARAMETERS AND PDI OF RICE, CHALLENGE INOCULATED WITH PYRICULARIA ORYZAE, THE INCITANT OF BLAST DISEASE

2021 ◽  
Vol 21 (no 1) ◽  
Author(s):  
Darwin Christdhas Henry L ◽  
Jaiganesh V ◽  
Sutha Raja Kumar R. ◽  
Thamarai Selvi M
Keyword(s):  
Seed Treatment ◽  
Foliar Spray ◽  
Germination Percentage ◽  
Blast Disease ◽  
Leaf Extracts ◽  
Leaf Blast ◽  
Culture Studies ◽  
Yield Parameters ◽  
Vigour Index ◽  
Sheep Urine

Among the eco-friendly products tested viz., leaf extracts of eucalyptus and henna @ (25% conc.), Sheep urine @ (10%), goat urine @ (20%) and Pseudomonas fluorescens @ (10g/kg of seed) alone and in combination, seeds treated with sheep urine was found to increase the germination percentage, vigour index and also enhance the yield parameters of rice. Among the different ecofriendly products, seeds treated with P. fluorescens retained the fungitoxicty for the longest duration of time against P. oryzae. Finally, under the pot culture studies, seed treatment with P. fluorescens and foliar spray with sheep urine on 30 and 50 DAT recorded the least leaf blast intensity in rice.

scholarly journals Induced Rice Resistance to Blast Varies as a Function of Magnaporthe grisea Avirulence Genes

Plant Disease ◽  
2008 ◽  
Vol 92 (8) ◽  
pp. 1144-1149 ◽  
Author(s):  
N. Yasuda ◽  
M. T. Noguchi ◽  
Y. Fujita
Keyword(s):  
Genetic Analysis ◽  
Resistance Genes ◽  
Magnaporthe Grisea ◽  
Specific Resistance ◽  
Blast Disease ◽  
Avirulence Gene ◽  
Avirulence Genes ◽  
Leaf Blast ◽  
Incompatibility Reactions ◽  
Avirulent Isolate

Incompatibility reactions between rice and the blast fungus Magnaporthe grisea produce various degrees of lesions, from large brown flecks to small, nearly invisible lesions. We previously identified four avirulence genes (AvrPia, AvrPii, AvrPit, and Avr-Hattan3) in M. grisea isolates by genetic analysis of progeny from crosses between isolates with differing pathogenicity. Using progeny known to contain a specific avirulence gene, we demonstrated that the type of resistance lesion produced in rice by an avirulent isolate and the degree of leaf blast suppression by preinoculation with that isolate were determined by the combination of avirulence and resistance genes in the isolate and the cultivar. The degree of leaf blast suppression by preinoculation with an avirulent isolate increased with larger resistance lesions. When two genes were involved in an isolate's avirulence, lesions appeared that resembled those expected for the gene that produced the smaller lesion. The degree of leaf blast suppression by the isolate with two avirulence genes was comparable with that induced by the isolate with the avirulence gene that produced the smaller effect. The ability of specific resistance gene combinations that effectively suppress blast disease is discussed for each avirulence gene.

Association mapping of traits related to leaf blast disease in rice (Oryza sativa L.)

2019 ◽  
Vol 49 (1) ◽  
pp. 31-43 ◽  
Author(s):  
Seyedeh Soheila Zarbafi ◽  
Babak Rabiei ◽  
Ali Akbar Ebadi ◽  
Jong Hyun Ham
Keyword(s):  
Oryza Sativa ◽  
Association Mapping ◽  
Oryza Sativa L ◽  
Blast Disease ◽  
Leaf Blast
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