scholarly journals PERTUMBUHAN, HASIL DAN TOLERANSI GENOTIP PADI TERHADAP PENYAKIT HAWAR DAUN (Bacterial Leaf Blight) PADA APLIKASI DOSIS Paenibacillus Polymixa BERBEDA

2017 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Ai Komariah ◽  
Eva Lady Mustika
Keyword(s):  
Rainy Season ◽  
Leaf Blight ◽  
Growth Yields ◽  
Bacterial Leaf Blight ◽  
Rice Plants ◽  
Rice Yields ◽  
Main Plot ◽  
Blight Disease ◽  
The Village ◽  
Dose Variation

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. 

scholarly journals Aplikasi Agen Hayati (Paenibacillus polymixa) terhadap Penekanan Penyakit Hawar Daun Bekteri Serta Hasil dan Pertumbuhan Padi Hitam (Oryza sativa)Var. Lokal

2018 ◽  
Vol 6 (2) ◽  
pp. 134
Author(s):  
Endang Kantikowati ◽  
Ridwan Haris ◽  
Saiful Anwar
Keyword(s):  
Oryza Sativa ◽  
Oryza Sativa L ◽  
Leaf Blight ◽  
Biological Agent ◽  
Bacterial Leaf Blight ◽  
Time Of Application ◽  
Factor Ii ◽  
Rice Yields ◽  
Main Plot ◽  
Blight Disease

The Experiment  was aimed to assess influence of concentration and application of biological agent Paenibacillus polymixa to bacterial leaf blight disease and  black rice yields  (Oryza sativa L.) local varieties The research was conducted in P4S Al Mukhlis   Kiangroke Village, Bandung District, West Java. In December 2016 until April 2017. The experiment used a split-plot design with two factor : 3 application period (W) as the main plot and 4 concentration level (K) as the subplot, thus obtained 12 treatment combinations and each combination was repeated 3 times. Then obtained 36 plot of experiment. Factor I main plot (W) : W1 = morning application (10, 20, 30, 40, 50, 60, 70 days after planting), W2 = daytime (10, 20, 30, 40, 50, 60, 70 days after planting), W3 = afternoon application (10, 20, 30, 40, 50, 60, 70 days after planting) and factor II (K) : K1 = Control, K2 = 5 ml L-1, K3 = 10 ml L-1, K4 = 15 ml L-1. The result showed that the effect of concentration  and time of application of biological agent of Paenibacillus polymixa gave no significant effect on plant height, disease intensity, number of productive tillers, number of the dry grain harvest, number of unhulled grain per panicle, and weight of 1000 filled grains. There was an interaction between concentration and time of application of biological agent of Paenibacillus polymixa to bacterial leaf blight disease intensity at age of 95 DAP, treatment of K3 (10ml L-1) with W1 (morning application)   gave more resistance effect to bacterial leaf blight intensity. 

scholarly journals Penggunaan Pestisida Biorasional untuk Pengendalian Penyakit Hawar Daun Bakteri pada Tanaman Padi

2021 ◽  
Vol 2 ◽  
pp. 145-149
Author(s):  
Agus Nurawan ◽  
Yati Haryati ◽  
Kiki Kusyaeri Hamdani
Keyword(s):  
Serratia Marcescens ◽  
Block Design ◽  
Leaf Blight ◽  
Bacterial Leaf Blight ◽  
Bacillus Firmus ◽  
West Java ◽  
Rice Plants ◽  
Randomized Complete Block Design ◽  
Blight Disease

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.

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 Bioefficacy of Chemicals against Bacterial Leaf Blight Disease of Rice

2020 ◽  
Vol 9 (6) ◽  
pp. 3570-3575
Author(s):  
A. Khandual ◽  
M. K. Mishra ◽  
H. Swain ◽  
S. Mohanty ◽  
P. C. Rath ◽  
...  
Keyword(s):  
Leaf Blight ◽  
Bacterial Leaf Blight ◽  
Blight Disease

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 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%.

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