scholarly journals Factors Related to Suppression of Leaf Blast Disease with a Multiline of Rice Cultivar Sasanishiki and Its Isogenic Lines.

1996 ◽  
Vol 62 (4) ◽  
pp. 360-364 ◽  
Author(s):  
Toshihiko NAKAJIMA ◽  
Ryoichi SONODA ◽  
Hiroshi YAEGASHI ◽  
Hatsuo SAITO
Keyword(s):  
Rice Cultivar ◽  
Blast Disease ◽  
Leaf Blast ◽  
Isogenic Lines

Genetic Analysis of Resistance Against Bacterial Leaf Blight and Leaf Blast Disease in the Japanese Rice Cultivar Asominori

2009 ◽  
pp. 305-313 ◽  
Author(s):  
Takashi Endo ◽  
Toshiki Nakamura ◽  
Junichi Yonemaru ◽  
Goro Ishikawa ◽  
Masayuki Yamaguchi ◽  
...  
Keyword(s):  
Genetic Analysis ◽  
Rice Cultivar ◽  
Leaf Blight ◽  
Blast Disease ◽  
Bacterial Leaf Blight ◽  
Leaf Blast

scholarly journals Use of Chemical Fungicides for the Management of Rice Blast (Pyricularia Grisea) Disease at Jyotinagar, Chitwan, Nepal

2015 ◽  
Vol 3 (3) ◽  
pp. 474-478 ◽  
Author(s):  
Prem Bahadur Magar ◽  
Basistha Acharya ◽  
Bishnu Pandey
Keyword(s):  
Rice Blast ◽  
Block Design ◽  
Rice Cultivar ◽  
Weekly Interval ◽  
Blast Disease ◽  
Pyricularia Grisea ◽  
Leaf Blast ◽  
Booting Stage ◽  
Neck Blast ◽  
Development Center

Rice blast caused by Pyricularia grisea Sacc. is the important disease of rice and different fungicides against this disease were evaluated in summer 2014 at Karma Research and Development Center, Jyotinagar, Chitwan, Nepal. A susceptible rice cultivar ‘Mansuli’ was planted in randomized complete block design and fungicides viz. Tricyclazole  22% + Hexaconazole 3% SC (0.2%), Streptomycin 5% + Thiophanate Methyl 50% WP (0.15%), Prochloraz 25% EC (0.3%), Kasugamycin 2% WP (0.2%), Hexaconazole 4% + Zineb 68 % WP (0.2%) and Udaan (Hexaconazole 3% SC) (0.2%) were sprayed thrice at weekly interval starting from the booting stage. All these fungicides were found to be effective in controlling leaf and neck blast disease as compare to control one. Among them, Tricyclazole 22% + Hexaconazole 3% SC was found to be the most effective with least leaf blast severity (6.23%), neck blast incidence (8.97%), and highest percentage disease control (87.08% and 79.62% in leaf blast and neck blast respectively) and grain yield (4.23 t/ha) followed by Prochloraz 25% EC (0.3%) and Udaan (Hexaconazole 3% SC) (0.2%). It is therefore concluded that Tricyclazole 22% + Hexaconazole 3% SC fungicide could be used to control rice blast at weekly interval starting from the booting stage for three times. Int J Appl Sci Biotechnol, Vol 3(3): 474-478

scholarly journals Effect of a Multiline of Rice Cultivar Sasanishiki and Its Isogenic Lines on Suppressing Rice Blast Disease.

1996 ◽  
Vol 62 (3) ◽  
pp. 227-233 ◽  
Author(s):  
Toshihiko NAKAJIMA ◽  
Ryoichi SONODA ◽  
Hiroshi YAEGASHI
Keyword(s):  
Rice Blast ◽  
Rice Cultivar ◽  
Rice Blast Disease ◽  
Blast Disease ◽  
Isogenic Lines

scholarly journals Effects of Pyramiding Quantitative Resistance Genes pi21, Pi34, and Pi35 on Rice Leaf Blast Disease

Plant Disease ◽  
2015 ◽  
Vol 99 (7) ◽  
pp. 904-909 ◽  
Author(s):  
Nobuko Yasuda ◽  
Takayuki Mitsunaga ◽  
Keiko Hayashi ◽  
Shinzo Koizumi ◽  
Yoshikatsu Fujita
Keyword(s):  
Resistance Genes ◽  
Blast Resistance ◽  
Quantitative Resistance ◽  
Durable Resistance ◽  
Rice Cultivar ◽  
Infection Process ◽  
Blast Disease ◽  
Leaf Blast ◽  
Gene Combination ◽  
Blast Resistance Genes

Development of resistant cultivars has been an effective method for controlling rice blast disease caused by Magnaporthe oryzae. Quantitative blast resistance genes may offer durable resistance because the selection pressure on M. oryzae to overcome resistance is low as a result of the genes’ moderate susceptibility. Because the effects of individual resistance genes are relatively small, pyramiding these genes in rice cultivars is a promising strategy. Here, we used near-isogenic and backcross lines of rice cultivar Koshihikari with single- or two-gene combinations of blast resistance genes (pi21, Pi34, and Pi35) to evaluate the suppression of leaf blast. The severity of the disease was assessed throughout the infection process. Resistance varied among the lines: Pi35 conferred the strongest resistance, while Pi34 showed the weakest effects. Two types of combined-gene interactions were observed, and they varied on the basis of gene combination and characteristic of the infection: (i) the combination of two resistance genes was more effective than either of the genes individually or (ii) the combination of two resistance genes was similar to the level of the most effective resistance gene in the pair. The most effective gene combination for the suppression of leaf blast was pi21 + Pi35.

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 Minor-effect QTL for heading date detected in crosses between indica rice cultivar Teqing and near isogenic lines of IR24

2018 ◽  
Vol 6 (3) ◽  
pp. 291-298 ◽  
Author(s):  
Zhichao Sun ◽  
Yujun Zhu ◽  
Junyu Chen ◽  
Hui Zhang ◽  
Zhenhua Zhang ◽  
...  
Keyword(s):  
Indica Rice ◽  
Heading Date ◽  
Rice Cultivar ◽  
Minor Effect ◽  
Near Isogenic Lines ◽  
Isogenic Lines ◽  
Indica Rice Cultivar
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