scholarly journals The Effectiveness of Several Plant Extracts to Induce Rice Plant Resistance against Bacterial Leaf Blight - (Xanthomonas oryzae pv. oryzae)

2019 ◽  
Vol 23 (1) ◽  
pp. 16
Author(s):  
Fitri Widiantini ◽  
Avissa Ayuningdiyas ◽  
Endah Yulia ◽  
Tarkus Suganda
Keyword(s):  
Plant Extracts ◽  
Seed Treatment ◽  
Defense Mechanism ◽  
Leaf Blight ◽  
Xanthomonas Oryzae ◽  
Bacterial Leaf Blight ◽  
Rice Seedlings ◽  
Control Techniques ◽  
Rice Plants ◽  
Plant Defense Mechanism

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.

scholarly journals Assessment of Bacterial Leaf Blight Disease of Indonesian Rice Germplasms Using SSR Markers

2020 ◽  
Vol 24 (1) ◽  
pp. 35
Author(s):  
Fatimah Fatimah ◽  
Tasliah Tasliah ◽  
Joko Prasetiyono ◽  
Mahrup Mahrup
Keyword(s):  
Ssr Markers ◽  
Leaf Blight ◽  
Xanthomonas Oryzae ◽  
Bacterial Leaf Blight ◽  
Yield Losses ◽  
Rice Varieties ◽  
Future Studies ◽  
Rice Plants ◽  
Serious Disease ◽  
Blight Disease

Bacterial leaf blight (BLB) caused by Xanthomonas oryzae pv. oryzae (Xoo) is a serious disease in rice plants worldwide. Yield losses caused by Xoo can be as high as 50% in some parts of Asia. Xa7 gene can potentially confer a broad resistance to BLB. Evaluation of disease resistance characteristics in early breeding generations of rice is important to develop varieties with better resistance. This study reports the evaluation of 167 Indonesian rice germplasms against three BLB isolates/pathotypes in a green house setting and the genotyping of 56 Indonesian rice germplasm using 12 SSR markers linked to Xa7 BLB resistance gene. The majority of the indigenous rice germplasms was found to be susceptible to three BLB isolates/pathotypes tested. Sate Liko from Bantul, Yogyakarta, Horeg from Cirebon, West Java and Sijem from Malang, East Java revealed consistent resistance to three isolates/pathotypes tested based on BLB evaluation in a greenhouse, UPGMA analysis, and genotyping. Pathotype XII displayed more virulence to Indonesian rice varieties tested compared to pathotypes VI and V. The association analysis using the General linear model identified six markers associated with BLB resistance and two markers were highly associated (RM20589 and RM20590). This information will be useful for future studies of BLB resistance in rice plants.

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
Keyword(s):  
Leaf Blight ◽  
Bacterial Leaf Blight ◽  
Rice Plants ◽  
Natural Phage

scholarly journals Response of a local rice variety Pandanwangi to infection of bacterial leaf blight Xanthomonas oryzae pv. oryzae strain III, IV, and VIII

2021 ◽  
Vol 905 (1) ◽  
pp. 012068
Author(s):  
Hadiwiyono ◽  
S H Poromarto ◽  
S Widono ◽  
R F Rizal
Keyword(s):  
Rice Variety ◽  
Leaf Blight ◽  
Rice Production ◽  
Xanthomonas Oryzae ◽  
Bacterial Leaf Blight ◽  
Artificial Inoculation ◽  
Limiting Factors ◽  
Bacterial Suspension ◽  
West Java ◽  
Local Cultivar

Abstract Bacterial leaf blight (BLB) caused by Xanthomonas oryzae pv. oryzae (Xoo) is one of the limiting factors in rice production. A local cultivar, rice “Pandanwangi” is a superior variety much preferred and cultivated by the farmers in Cianjur, West Java, Indonesia. The information about the response of “Pandangwangi” to Xoo is still poorly understood. This paper reports the results of the evaluation of “Pandanwangi” response against BLB. This research was conducted in a greenhouse with artificial inoculation using Xoo strains III, IV, and VIII with bacterial suspension at 108 cfu.mL−1. The results showed that the response of cv Pandanwangi to Xoo infection was different from the strain of Xoo. “Pandanwangi” cultivar was susceptible to Xoo strain III and VIII and very susceptible to strain IV.

scholarly journals Pendugaan Intensitas Serangan Penyakit BLB (Bacterial Leaf Blight) pada Tanaman Padi melalui Pendekatan Citra Multispektral

2020 ◽  
Vol 8 (2) ◽  
pp. 338
Author(s):  
Gusti Bagus Eka Chandra ◽  
I Made Anom S. Wijaya ◽  
Yohanes Setiyo
Keyword(s):  
Technology Development ◽  
Leaf Blight ◽  
Multispectral Image ◽  
Bacterial Leaf Blight ◽  
Estimation Accuracy ◽  
Multispectral Images ◽  
Multispectral Imagery ◽  
Rice Plants ◽  
Red Edge ◽  
Disease Attack

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%.

scholarly journals CHEMICAL TREATMENTS OF RICE SEEDLINGS FOR THE CONTROL OF BACTERIAL LEAF BLIGHT

1961 ◽  
Vol 7 ◽  
pp. 25-27
Author(s):  
Yoshiya TAGAMI ◽  
Hiroshi FUJII ◽  
Shigematsu KUHARA ◽  
Toshishiro KURITA
Keyword(s):  
Leaf Blight ◽  
Bacterial Leaf Blight ◽  
Rice Seedlings ◽  
Chemical Treatments
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