First Report of Alternaria Leaf Blight in Bael (Aegle marmelos (L.) Corr.) from Eastern Plateau and Hill Region of India

2016 ◽  
Vol 3 (4) ◽  
Author(s):  
S. MAURYA ◽  
RITESH KUMAR ◽  
ANJALI KUMARI ◽  
AND JAIPAL SINGH CHOUDHARY

Bael (Aegle marmelos) is one of the important known fruit crops of India which have widely distributed in Northern India. Alternaria leaf blight of Aegle marmelos (L.) (Bael) was reported for the first time in from Eastern Plateau and Hill region of India. The symptoms initially observed as light brown to dark brown spots of indefinite size appearing on leaves with light brown or dark brown rings. Infected leaves further get blighted and fall down after drying and in extreme cases of disease entire infected plants become died. The disease was observed both in nursery and orchards but in nursery it observed quite severe than orchard. The disease-causing pathogen was isolated and identified as Alternaria alternata on the basis of its disease symptoms, colony morphology and microscopic characteristics of mycelium, conidiophores and conidia. Alternaria leaf blight of bael was successfully managed by the foliar application of Chlorothalonil 75WP @ 2.5-3g/L / Carbendazim 50 WP @1-1.5g/L.

2015 ◽  
Vol 102 (1) ◽  
pp. 115-118 ◽  
Author(s):  
Stanisław Mazur ◽  
Halina Kurzawińska ◽  
Małgorzata Nadziakiewicz ◽  
Jacek Nawrocki

2014 ◽  
Vol 3 (3) ◽  
pp. 133-138
Author(s):  
Mohammed W. Khudhair ◽  
Hadi M. Aboud ◽  
Naeem S. Dheyab ◽  
Ali K. Shbar ◽  
Hiatham S. Khalaf

Alternaria leaf blight caused by Alternaria triticina can cause high yield losses at the severe infection in wheat and barley. It is first time for this pathogen to be recorded in Iraq. The investigation process of this disease included 25 locations from 12 sites in 5 provinces that plant wheat and barley in the south and middle of Iraq. The results revealed that the fungus was isolated from almost all examined locations with different frequency. Shethaif- Al Garbie and Sheikh Saad showed higher number of isolates with 60 and 40 in wheat fields respectively; while; Shethaif- Al Garbie and Dabuni expressed the highest number of isolates in barley fields with 45 and 33 respectively. The highest isolation frequency in wheat fields was at Sheikh Saad and Ali Alsharqi with 100% followed by Ali Algharbie with 90% and the lowest was at Al- Kut and Al-Huria with 37.5 and 40% respectively. The highest isolation frequency in barley fields was recorded at Dabuni with 82.5% followed by Shethaif- Al Garbie and Babil / Al-Huria with 75% and the lowest was at Al-Basrah/ Shatt al-Arab with 20%. The fungus was isolated from all plant parts (stem, leaf, and spike); however, spikes recorded the highest isolation frequency reaching 100% in some locations.


2018 ◽  
Vol 71 (4) ◽  
pp. 543-548 ◽  
Author(s):  
Chaudhary Dasharathbhai Ajayabhai ◽  
Kedar Nath ◽  
Tabis Bekriwala ◽  
Mabhu Bala

2021 ◽  
Vol 108 (March) ◽  
pp. 1-6
Author(s):  
◽  
Meena B ◽  
Rajamanickam S ◽  
Meena R. P ◽  
Nalina L ◽  
...  

Leaf blight caused by Alternaria alternata (Fr.) Keissler is a severe disease of Gloriosa, causing severe yield loss in every part of Gloriosa growing areas of Tamil Nadu. The foliar pathogen was isolated from disease-infected leaves and proved its pathogenicity. Further, the molecular analysis of the pathogen using 18S rDNA confirmed the pathogen as Alternaria alternata. Attempts were made to explore the biocontrol agents and fungicides for the management of leaf blight incidence under field conditions. Four field trials conducted from 2014 to 2018 revealed that foliar application of talc-based formulation of Bacillus subtilis significantly reduced the leaf blight incidence and increased the seed yield under field conditions. Besides, prophylactic application of these biocontrol agents has also increased the plant growth parameters like plant height, number of flowers/plant, no. of pods/plant and number of seeds/pod. Similarly, foliar application of chlorothalonil (0.1%) and mancozeb (0.2%) was also credited to managing the leaf blight disease under field conditions.


2019 ◽  
Vol 3 (2) ◽  
Author(s):  
Khalid Pervaiz Akhtar

Sonchus asper (annual sow thistle) is an annual or winter annual herbaceous plant native to Europe. It has become a very aggressive invader in many regions of the world. In February 2013, S. asper plants grown in and around the chickpea and tomato fields at Nuclear Institute for Agriculture and Biology (NIAB), Faisalabad, Pakistan were found to be severely affected by a leaf blight disease. Initially the disease symptoms began as small, circular, dark, necrotic lesions usually on the older leaves. At later stage, these lesions enlarged rapidly up to 4-12 mm in diameter and when spotting was abundant the entire leaf turned yellow. However, in April 2013, S. asper plants grown in and around the tomato and wheat fields at NIAB, Faisalabad, Pakistan were found with different leaf blight symptoms. The leaf spots were initially small, epiphyllous, irregular, scattered to marginal and dark-brown. Later on these spots enlarged, became orbicular to irregular but often angular, with brown to cinereous necrotic centers and usually with a narrow dark margin. On the basis of symptoms, morphological and cultural characteristics of the isolated pathogen, the causal agent was identified as Alternaria alternata from February infected plants while it was identified as Alternaria sonchi from April infected plants and Koch’s postulates were fulfilled. This is the first report of Alternaria alternata and Alternaria sonchi from S. asper plants in Pakistan


2021 ◽  
Vol 23 (1) ◽  
pp. 54-59
Author(s):  
SANTOSH KUMAR ◽  
MD. NADEEM AKHTAR ◽  
SANTOSH KUMAR ◽  
MAHESH KUMAR ◽  
TRIBHUWAN KUMAR

Weather parameters play a pivotal role in the infection process and spread of pathogen. It also influences the expression of susceptibility/resistance of the host plant during post-infection phases. Therefore, an experiment was conducted for two consecutive cropping seasons (2018 &2019) to study the influence of weather parameters such as temperature, humidity, rainfall and wind direction on the emergence of alternaria leaf blight of makhana in Koshi region of Bihar. Maximum per cent disease severity of alternarialeaf blightwas observed during the peak monsoon months (June to August). Highest disease severity of leaf blight (14.80% & 15.7%) was observed in the mid June during crop season, 2018 and 2019. High temperature (36.9oC & 38.1oC), and relative humidity (94% & 96.4%) of both the year 2018 and 2019 were found correlated with higher severity to alternaria leaf blight. Similarly average HTR values (3.1) were also found correlated with the average high temperature and relative humidity of both years (2018 and 2019) in terms of severity of leaf blight disease. Maximum temperatures, relative humidity and rainfall exhibited strong positive linear relationship and influenced the occurrence of alternaria leaf blight disease significantly. We also developed a geo-phytopathological model for the prediction of alternaria leaf blight disease of makhana on the basis of congenial mean temperature and relative humidity.


2012 ◽  
Vol 5 (1) ◽  
pp. 1-66 ◽  
Author(s):  
R. Kumar ◽  
M. Naja ◽  
G. G. Pfister ◽  
M. C. Barth ◽  
C. Wiedinmyer ◽  
...  

Abstract. This study presents annual simulations of tropospheric ozone and related species made for the first time using the WRF-Chem model over South Asia for the year 2008. The model simulated ozone, CO, and NOx are evaluated against ground-based, balloon-borne and satellite-borne (TES, OMI and MOPITT) observations. The comparison of model results with surface ozone observations from seven sites and CO and NOx observations from three sites, indicate the model's ability in reproducing seasonal variations of ozone and CO, but show some differences in NOx. The modeled vertical ozone distribution agrees well with the ozone soundings data from two Indian sites. The vertical distributions of TES ozone and MOPITT CO are generally well reproduced, but the model underestimates TES ozone, OMI tropospheric column NO2 and MOPITT total column CO retrievals during all the months except MOPITT retrievals during August–January. Largest differences between modeled and satellite retrieved quantities are found during spring when intense biomass burning activity occurs in this region. The evaluation results indicate large uncertainties in anthropogenic and biomass burning emission estimates, especially for NOx. The model results indicate clear regional differences in the seasonality of surface ozone over South Asia with estimated net ozone production during daytime (11:30–15:30 h) over inland regions of 0–5 ppbv h−1 during all seasons and of 0–2 ppbv h−1 over marine regions during outflow periods. The model results indicate that ozone production in this region is mostly NOx-limited. This study shows that WRF-Chem model captures many important features of the observations and gives confidence to using the model for understanding the spatio-temporal variability of ozone over South Asia. However, improvements of South Asian emission inventories and simulations at finer model resolution, especially over the complex Himalayan terrain in Northern India, are also essential for accurately simulating ozone in this region.


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