Effect of Rufianic Acid on the Foot-Rot Disease of Rice caused by Fusarium moniliforme

1973 ◽  
Vol 78 (1) ◽  
pp. 81-85
Author(s):  
K. S. S. Thakur
Keyword(s):  
Fusarium Moniliforme ◽  
Foot Rot ◽  
Rot Disease

scholarly journals Biological Control of Foot Rot Disease of Rice Using Fermented Products of Compost and Vermicompost

1970 ◽  
Vol 6 (6) ◽  
pp. 52-57 ◽  
Author(s):  
T Manandhar ◽  
KD Yami
Keyword(s):  
Field Trial ◽  
Fusarium Moniliforme ◽  
Gibberella Fujikuroi ◽  
Maximum Effect ◽  
Foot Rot ◽  
Compost Tea ◽  
Rainfed Condition ◽  
Scientific World ◽  
Rot Disease ◽  
Vermicompost Tea

Field trial experiment was conducted at the premise of Nepal Academy of Science and Technology during rainy season (April-June) in 2004 under the rainfed condition. In this study, four types of compost tea: aerated vermicompost tea (ACTV), non aerated vermicompost tea (NCTV), aerated compost tea (ACTC) and non aerated compost tea (NCTV) was prepared and investigated for the suppression of Foot rot disease of Rice caused by Fusarium moniliforme Sheldon - Gibberella fujikuroi. The result was compared with carbendazium (2.5 g per kg dry seeds) treatment and water check. And data was analyzed using one way ANOVA. Among these four compost tea, ACTV showed statistically significant maximum control (25.6% increment of healthy seedlings), followed by ACTC (22.4% increment of healthy seedlings). Least effect was obtained by NCTC (13.6% increment of healthy seedlings). It was observed that 18% of collected Khumal-4 variety rice was infected with Fusarium monoliforme as revealed by Standard Moist Blotter Technique. In concurrence with field trial experiment, treatment of the rice seeds in the Standard Blotter Technique with compost tea revealed highest efficiency of ACTV in reducing the number of affected seeds (12% reduction in affected seeds) followed by ACTC (10% reduction) and NCTV (8% reduction). NCTC were found to be least effective (6% reduction) among the four types of compost tea. Application of compost tea also increases the percentage of germination of seeds, with maximum effect obtained by ACTV (98%). Keywords: Compost tea; Vermicompost tea; Foot rot; Fusarium moniliforme.   DOI: 10.3126/sw.v6i6.2634 Scientific World, Vol. 6, No. 6, July 2008 52-57

scholarly journals Seeds infection of Fusarium moniliforme in different Rice varieties grown in mid-hills of Nepal

2020 ◽  
Vol 5 (3) ◽  
pp. 261-267
Author(s):  
Poonam Pandey ◽  
Ram Devi Timila ◽  
Sandeep Airee
Keyword(s):  
Fusarium Moniliforme ◽  
Rice Seed ◽  
Foot Rot ◽  
Rice Varieties ◽  
Control Seed ◽  
Significant Difference ◽  
Seed Data ◽  
Rot Disease ◽  
Level Of Significance ◽  
Transmission Test

Fusarium moniliforme is one of the important seed-borne fungi responsible for foot rot disease in rice. The study was conducted at the Plant Pathology Division of NARC, Khumaltar from July- December 2019 to find out the level of seed infection of F. moniliforme in different varieties of rice from mid-hills of Nepal. A total of 20 seed samples of different varieties of rice with 240 seeds of each sample were tested following a deep-freeze blotter method distributing 80 seeds per replication and maintaining 3 replications. Seed to seedling transmission test was carried out under screen house conditions. Two hundred seeds of each highly infected five varieties from laboratory test data were planted in eight pots, twenty-five seeds per pot, and categorized into four replications. Component plating was done to determine the location of F. moniliforme infection in a seed. Data analysis was done using STAR at a 5% level of significance. There was a significant difference among all the varieties. The highest incidence of F. moniliforme infection was found in seeds of Khumal-9 variety and lowest in Fan-10 variety. From seed to seedling transmission test, Khumal-4 variety was found highly susceptible to foot rot among the 5 varieties planted. Transmission percentage of disease from seed to seedling was found ranging from 16.19-72.31%. Equally, Component plating concludes that seed coat, as well as endosperm, was the location of F. moniliforme infection in rice seed. Foot rot being one of the serious diseases of rice at present time researches should be done more on this for its effective management and control. Seed health status testification before taking seeds to the field should be done so that timely control like seed treatment could be applied to control the outbreak of the disease in the field.

Foot rot disease of sweet potato in Japan caused by Diaporthe destruens: first report, pathogenicity and taxonomy

2021 ◽  
Author(s):  
Ai Maeda ◽  
Ayaka Minoshima ◽  
Shinji Kawano ◽  
Misa Nakamura ◽  
Tetsuya Takushi ◽  
...  
Keyword(s):  
Sweet Potato ◽  
Foot Rot ◽  
First Report ◽  
Rot Disease

scholarly journals Quantifying Citrus Tree Health Using True Color UAV Images

2020 ◽  
Vol 12 (1) ◽  
pp. 170 ◽  
Author(s):  
Blanca N. Garza ◽  
Veronica Ancona ◽  
Juan Enciso ◽  
Humberto L. Perotto-Baldivieso ◽  
Madhurababu Kunta ◽  
...  
Keyword(s):  
Root Rot ◽  
Field Measurements ◽  
Foot Rot ◽  
Citrus Tree ◽  
Tree Health ◽  
Citrus Production ◽  
Rot Disease ◽  
Uav Images ◽  
True Color ◽  
Leaf Greenness

Huanglongbing (HLB) and Phytophthora foot and root rot are diseases that affect citrus production and profitability. The symptoms and physiological changes associated with these diseases are diagnosed through expensive and time-consuming field measurements. Unmanned aerial vehicles (UAVs) using red/green/blue (RGB, true color) imaging, may be an economic alternative to diagnose diseases. A methodology using a UAV with a RGB camera was developed to assess citrus health. The UAV was flown in April 2018 on a grapefruit field infected with HLB and foot rot. Ten trees were selected for each of the following disease classifications: (HLB-, foot rot–), (HLB+, foot rot–), (HLB-, foot rot+) (HLB+, foot rot+). Triangular greenness index (TGI) images were correlated with field measurements such as tree nutritional status, leaf area, SPAD (leaf greenness), foot rot disease severity and HLB. It was found that 61% of the TGI differences could be explained by Na, Fe, foot rot, Ca, and K. This study shows that diseased citrus trees can be monitored using UAVs equipped with RGB cameras, and that TGI can be used to explain subtle differences in tree health caused by multiple diseases.

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