scholarly journals On forecasting of bacterial leaf blight of rice plants by using natural phage

1974 ◽  
Vol 20 ◽  
pp. 62-65
Author(s):  
Norisato GAMO ◽  
Takayuki YAMAGUCHI ◽  
Sadao KIMURA
2020 ◽  
Vol 8 (2) ◽  
pp. 338
Author(s):  
Gusti Bagus Eka Chandra ◽  
I Made Anom S. Wijaya ◽  
Yohanes Setiyo

ABSTRAK Penyakit Bacterial Leaf Blight (BLB) merupakan salah satu penyakit yang berbahaya bagi tanaman padi. Penyakit ini bisa menyerang di setiap fase pertumbuhan. Perhitungan intensitas serangan penyakit BLB saat ini masih dilakukan secara manual. Diperlukan pengembangan teknologi dalam pendugaan intensitas serangan penyakit BLB melalui citra multispektral. Penelitian ini bertujuan untuk (1) untuk mendapatkan nilai korelasi terbaik antara intensitas serangan penyakit BLB dengan parameter citra multispektral (2) Untuk mendapatkan persamaan pendugaan intensitas serangan penyakit BLB berdasarkan pendekatan citra multispektral. Drone DJI Inspire 1 dengan kamera multispektral digunakan untuk menangkap gambar petak padi. Pengolahan data citra multispektral menggunakan Agisoft Photoscan dan software QGIS 3.8. Berdasarkan dari hasil akuisisi, citra multispektral menghasilkan citra band red, NIR, green, red edge, RGB yang kemudian diolah menjadi transformasi citra NDVI, EVI, dan NDRE. Dari ketiga parameter citra multispektral, nilai NDVI memiliki tingkat korelasi yang lebih kuat dengan koefisien determinasi sebesar 97,5% dan menghasilkan persamaan linier sebagai berikut y = -419,6 + 169,3. Dalam perhitungan nilai eror parameter NDVI memilikinilai eror paling rendah dibandingkan parameter EVI dan NDRE yaitu sebesar 4,64% dengan akurasi pendugaan 95,36%. Citra multispektral dapat digunakan dalam pendugaan intensitas serangan penyakit BLB pada tanaman padi karena menghasilkan nilai korelasi yang sangat kuat, dan akurasi pendugaan yang tinggi dengan nilai eror yang rendah tidak melebihi 10%. ABSTRACT  Bacterial Leaf Blight (BLB) is a disease that is dangerous for rice plants. This disease can attack in every phase of growth. Calculation of BLB disease attack intensity is currently still used manually method. Technology development is needed in estimating the intensity of BLB disease through multispectral imagery. This study aims (1) to get the best correlation value between the intensity of BLB disease attack with multispectral image parameters (2) to get the equation for estimating the intensity of BLB based on multispectral images parameter. Drone DJI Inspire 1 with a multispectral camera is used to captured the paddy field. The captured images was processed using Agisoft Photoscan and QGIS 3.8 software. Based on the results of the acquisition, multispectral images produce red, NIR, green, red edge, RGB band images which were then transformed into NDVI, EVI, and NDRE images. Of the three multispectral image parameters, NDVI values ??have a stronger correlation level with a determination coefficient of 97.5% and produce the following linear equation y = -419.6 + 169.3. In calculating the NDVI parameter error value has the lowest error value compared to the EVI and NDRE parameters which is 4.64% with an accuracy estimate of 95.36%. Multispectral imagery can be used in estimating the intensity of BLB disease attacks in rice plants because it produces a very strong correlation value, and high estimation accuracy with a low error value does not exceed 10%.


2019 ◽  
Vol 23 (1) ◽  
pp. 16
Author(s):  
Fitri Widiantini ◽  
Avissa Ayuningdiyas ◽  
Endah Yulia ◽  
Tarkus Suganda

Resistant plants are one of the disease control techniques that considered to be effective. Resistant plants can be produced in various ways including the application of plant extracts. The aim of this study was to examine the ability of several plant extracts to increase the resistance of rice plants to bacterial leaf blight (BLB) caused by Xanthomonas oryzae pv. oryzae (Xoo). A total of 13 plants were extracted and applied in two methods, which were seed treatment and seedling treatment which sprayed on two-week old rice seedlings. Xoo bacteria were inoculated on rice plants two weeks after planting. The observations on the intensity of BLB disease infection showed that water hyacinth extract (Eichhornia crassippes), spiny amaranth (Amaranthus spinosus) and jasmine leaves (Jasminum grandiflorum) can suppress the development of BLB disease in both application methods. The application of plant extracts as inducing agents needs to be repeated to maintain the activated plant defense mechanism.


Food Research ◽  
2020 ◽  
Vol 4 (S5) ◽  
pp. 124-130
Author(s):  
K.S. Ku Asmah ◽  
Z. Sapak

Bacterial leaf blight (BLB) of rice is an economically important disease caused by Xanthomonas oryzae pv. oryzae (Xoo) throughout the world. To control this disease, bacterial isolate of Bacillus subtilis UiTMB1 was screened for the antagonistic activity against the pathogen in vitro and in vivo studies. A bacterial assay and detached leaf technique were used to evaluate the potential of the bacterium against BLB pathogen in the laboratory. Meanwhile, the glasshouse study was conducted to further examine the aptitudes of the isolate on the disease control and growth-promoting of rice plants. The findings revealed that B. subtilis UiTMB1 is able to control the disease and enhance the growth of rice plants. Rice plants treated with B. subtilis UiTMB1 before being inoculated with BLB pathogen showed less severe disease symptoms with low disease severity index of 3.43 compared to rice plants without B. subtilis UiTMB1 with high disease severity index of 8.4. Besides controlling the disease, B. subtilis UiTMB1 was also promoting plant height, chlorophyll content, number of tillers and biomass of rice plants.


2017 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Ai Komariah ◽  
Eva Lady Mustika

The research was to study the effect of genotype rice plants and Paenibacillus Polymixa dose to growth, yields and genotype  tolerances to  BLB (Bacterial Leaf Blight) deseases.The research was conducted in the village Kedawung Majalaya Karawang District of West Java in the rainy season, from Januari 2015 until  Mei 2015.  The  experiment was  used Strip plots design with genotypes of rice was the main plot consist of  Sri Putih (v1), Manohara (v2) and  IR 64 (v3), subplots were doses paenybacilus polymixa (d1 ) Dose Paenybacillus polymixa 0 liters / ha, (d2) Dose Paenybacillus polymixa 2.5 liters / ha (5 ml / liter), (d3) Dose Paenybacillus polymixa 5 liters / ha (10 ml / liter) and (d4) Dose Paenybacillus pol ymixa 7.5 liters / ha (15 ml / liter).  The results of the experiment shosed that no interaction between the administration of the dose variation Paenybacillus polymixa with genotype rice plants against rice yields and not interaction between administration of the dose variation Paenybacillus polymixa with genotype rice plants to suppress the intensity of the attack Bacterial leaf blight disease. For the intensity of the disease, dose applications Paenybacillus polymixa 2.5 liters / ha (5 ml / liter) was effectively used during the vegetative age of 21, 28 and 35 days after planting. 


2021 ◽  
Vol 2 ◽  
pp. 145-149
Author(s):  
Agus Nurawan ◽  
Yati Haryati ◽  
Kiki Kusyaeri Hamdani

Bacterial leaf blight can cause rice loss between 15-80%. Biorational pesticides can be an alternative to controlling the disease. Bacillus firmus, Burkholderia sp, and Serratia marcescens against bacterial leaf blight on rice plants in the field. The study was conducted in Maret-Juni 2014 in the land of the Independent Farmers Group, Cipeuyeum Village, Haurwangi District, Cianjur Regency, West Java. The design uses a randomized complete block design (RCBD) with 6 treatments and 4 replications. The treatments consist of: 1) Mekongga + biorational, 2) Inpari 14 + biorational, 3) Sintanur + biorasional, 4) Mekongga + without biorational, 5) Inpari 14 + without biorational, and 6) Sintanur + without biorational. The results of the study showed that the application of biorational pesticides can reduce the intensity of bacterial leaf blight disease. Sintanur varieties with the application of biorational pesticides produce higher and higher R / C ratios of 6.81 tons ha-1 and 2.79.


2009 ◽  
Vol 9 (2) ◽  
pp. 168-173
Author(s):  
Heru Adi Djatmiko ◽  
Fatichin Fatichin

Resistance of twentyone rice varieties to Bacterial Leaf Blight.  Bacterial leaf blight is one of the most important diseases of rice plants.  Resistant Variety is one of safe, effective, and environment friendly alternative controls to suppress the bacterial leaf blight on rice.  The objectives of this research were to find the most resistant varieties against bacterial leaf blight, and to study the yield of inoculated rice varieties. The research was carried out experimentally. This experiment was arranged in Randomized completely block design with 22 treatments and three replicates. Varieties of IR64 as control for susceptible varieties. Observed Variables were incubation period, disease intensity, seed weight per panicle, and seed weight per hills.  The result of this research showed that variety IR 70 was the most resistant variety to bacterial leaf blight. Variety having highest yield was Rojolele with seed weight per hill was 31.17 g.


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