scholarly journals Weather Impact on Nursery Diseases of Mango Saplings in Bangladesh

2015 ◽  
Vol 3 (1) ◽  
pp. 42-49
Author(s):  
M. A. H. Khan ◽  
I. Hossain ◽  
M. S. M. Chowdhury ◽  
M. U. Ahmad

The study was carried out during the period of July 2010 to April 2012 to find out the effect of weather prevalence of seedling diseases ofmango in different areas of Bangladesh. The locations were Mymensingh Dinajpur, Rajshahi and Khagrachari. Altogether 12 nurseries in fourdistricts of Bangladesh were surveyed and mango seedling diseases were recorded. Incidence and severity of important seedling diseases ofhas been studied under different geographical locations (viz. Mymensingh, Dinajpur, Rajshahi and Khagrachari) of Bangladesh. The effects oftemperature, rainfall, and relative humidity on the incidence and severity of noted diseases were observed the aforesaid locations of Bangladesh.The studied diseases were anthracnose, leaf spot, red rust, powdery mildew, scab, bacterial leaf blight and malformation of mango seedlings.The graphs of weather parameters and incidence and severity of diseases were performed to determine the relationship between differentcomponents of climatic factor and seedling diseases of mango.DOI: http://dx.doi.org/10.3126/ijasbt.v3i1.11846   Int J Appl Sci Biotechnol, Vol. 3(1): 42-49 

Author(s):  
Joyce Imara Nchom ◽  
A. S. Abubakar ◽  
F. O. Arimoro ◽  
B. Y. Mohammed

This study examines the relationship between Meningitis and weather parameters (air temperature, maximum temperature, relative humidity, and rainfall) in Kaduna state, Nigeria on a weekly basis from 2007–2019. Meningitis data was acquired weekly from Nigeria Centre for Disease Control (NCDC), Bureau of Statistics and weather parameters were sourced from daily satellite data set National Oceanic and Atmospheric Administration (NOAA), International Research Institute for Climate and Society (IRI). The daily data were aggregated weekly to suit the study. The data were analysed using linear trend and Pearson correlation for relationship. The linear trend results revealed a weekly decline in Cerebro Spinal Meningitis (CSM), wind speed, maximum and air temperature and an increase in relative humidity and rainfall. Generally, results reveal that the most important explanatory weather variables influencing CSM amongst the five (5) are the weekly maximum temperature and air temperature with a positive correlation of 0.768 and 0.773. This study recommends that keen interest be placed on temperature as they play an essential role in the transmission of this disease and most times aggravate the patients' condition.


2019 ◽  
Vol 19 (1) ◽  
pp. 59-67
Author(s):  
Arliana Endraswati ◽  
Luthfi Djauhari Mahfudz ◽  
Teysar Adi Sarjana

ABSTRAK. Penelitian ini bertujuan untuk menguji kontribusi faktor klimat di musim kemarau terhadap kondisi mikroklimat closed house periode brooder dengan panjang kandang berbeda. Unit kandang digunakan yaitu kandang ukuran panjang 60 m dan 120 m. Pengamatan dilakukan pagi hari (05.00 WIB), siang hari (13.00 WIB) dan malam hari (21.00 WIB). Parameter makroklimat yang diamati meliputi suhu, kelembaban udara, kecepatan angin dan radiasi matahari serta kondisi mikroklimat meliputi suhu, kelembaban udara, kecepatan angin dan THI. Besaran kontribusi diukur berdasarkan keeratan hubungan dengan analisis korelasi. Koefisien korelasi yang menunjukkan hubungan cukup kuat dengan nilai r0,3, digunakan untuk membentuk persamaan regresi. Hasil penelitian menunjukkan besaran kontribusi komponen makroklimat pada pagi hari, siang hari maupun malam hari terhadap kondisi mikroklimat berupa suhu, kecepatan angin dan THI lebih besar di kandang panjang 60 m, sedangkan kontribusi makroklimat terhadap kelembaban udara mikroklimat lebih besar di kandang 120 m (p0,05). Rentang nilai r pada korelasi yaitu cukup kuat hingga sangat kuat. Hasil persamaan regresi yang terbentuk memiliki nilai determinasi R2 sangat kuat, sehingga layak digunakan sebagai prediktor. Prediktor kelembaban udara di kandang 60 m berupa kecepatan angin, kelembaban udara dan radiasi matahari makroklimat, sementara prediktor kelembaban udara di kandang panjang 120 m berupa suhu, kelembaban udara dan radiasi matahari. Simpulan penelitian yaitu kontribusi faktor makroklimat terhadap variasi kondisi mikroklimat berupa suhu, kecepatan angin dan THI pada periode brooder lebih besar di kandang 60 m daripada 120 m, sedangkan kontribusi komponen makroklimat terhadap kelembaban udara di kandang 120 m lebih besar dari kandang 60 m. (Contribution of climatic factor outside the lengths to the change of microclimate closed house with different lengths in brooder period in the dry season) ABSTRACT. This study conducted to calculate macroclimate contribution during brooding period house to different closed house length in dry season. Two broiler closed house 60 m and 120 m length here used in this research. Observed data were daily at 05.00 a.m, 1.00 p.m. and 9.00 p.m to represented microclimate condition in the morning, afternoon and night. Macroclimate parameters observed included temperature, relative humidity, air velocity, sun radiation and microclimate parameters included temperature, relative humidity, air velocity, THI. Macroclimate contribution on the microclimate was calculates based on the strength of the relationship using correlation analysis. Subsequently, regression equation formed on parameters which has r value more than 0.3. Results showed that macroclimate contributes on variation of microclimate condition such as temperature, air velocity and THI which is larger in the 60 m length than 120 m length closed house(p0.05). Macroclimate factors contributes on microclimate humidity which is larger in the 120 m than 60 m closed house length. The range of correlation r value are strong enough to very strong. Regression equations confirmed to having strong determination R value, thus can be used as a predictor of microclimate variation. Predictor parameter of microclimate humidity in 60 m closed house consist of air velocity, relative humidity and sun radiation, whereas microclimate humidity in 120 m closed house predictors consist of temperature, relative humidity and sun radiation. In conclusion macroclimate that contributes to the microclimate variation consist of temperature, air velocity and THI, which is larger in 60 m than 120 m closed house. Meanwhile, macroclimate that contributes to the microclimate humidity is larger in 120 m than 60 m closed house.


Author(s):  
Ram Kumar ◽  
P. P. Singh

The present experiment was carried out to access the relationship between population fluctuation of natural enemies and abiotic factors in okra agro-ecosystem at the Research Farm, Tirhut College of Agriculture, Dholi, Muzaffarpur (Bihar). From pooled data of two consecutive Kharif seasons i.e. 2018 and 2019 it was inferred that the highest coccinellids population was registered during 35th standard week (4.56 coccinellids/ 5 plant). Thereafter, the population gradually decreases and reached to 1.19 coccinellids/ 5 plant during 41st standard week i.e. end of the crop. Correlation studies of coccinellids population with abiotic factors indicated that the maximum temperature had positive and highly significant effect on coccinellids. While, minimum temperature and relative humidity at 7 hrs showed positive but non-significant effect on coccinellids. The relative humidity at 14 hrs and rainfall had negative and non-significant correlation with coccinellids population. All the weather parameters together governed 49.90 per cent to the coccinellids population build up (R2 = 0.4990). In case of spider, incidence commenced in 27th standard week however, the maximum population (3.94 spiders/ 5 plant) was observed in 35th standard week. Correlation analysis of spider population with abiotic factors exhibited that the maximum temperature had highly significant and positive effect on spider population. Unlike it, minimum temperature and relative humidity at 7 hrs indicated positive and non-significant effect on spider population. However, the effect of relative humidity at 14 hrs and rainfall on spider population was found negative and non-significant. However, all the prevailing weather parameters together contributed 48.23 per cent towards spider incidence (R2 = 0.4823).


1970 ◽  
Vol 9 (1-2) ◽  
pp. 126-136
Author(s):  
MSM Chowdhury ◽  
I Hossain

Experiments were carried out during 2005-08 to study the effect of weather prevalence of seedling diseases of jackfruit in different areas of Bangladesh and develop an environment friendly disease management practice. Leaf spot causal pathogen Colletotrichum gloeosporioides was identified. Incidence and severity of leaf spot at seedling stage were studied and significant variations were observed depending on weather factors. Occurrence of seedling diseases was significantly influenced by temperature, rainfall and relative humidity. Comparative effectiveness of BAU-biofungicide either alone or in combination with two fungicides viz. Cupravit and Bavistin were evaluated on jackfruit in the nursery. Among the treatments applied, Trichoderma harzianum based BAU-Biofungicide showed best result in controlling leaf spot disease. Keywords: Jackfruit seedling; leaf spot disease; ecofriendly management; BAU-Biofungicide DOI: http://dx.doi.org/10.3329/agric.v9i1-2.9487The Agriculturists 2011; 9(1&2): 126-136


Author(s):  
Nayan Kishor Adhikary ◽  
Krishnendu Roy ◽  
Kajal Kumar Biswas

Sesame is one of the most important oilseed crops in India due to mainly its high quality seed oil and antioxidant properties. Occurrence of foliar diseases, like Alternaria leaf spot and Cercospora leaf spot has become a major constraint in recent years for successful and profitable cultivation of sesame. Field experiments were conducted with sesame var. savitri in a factorial randomized block design with three different dates of sowing with 15 days interval and two different plant protection situations (Protected i.e., treated with disease control protocols and unprotected i.e., control), replicated four times, during two consecutive summer seasons of 2018 and 2019 at Agricultural Experimental Farm, Institute of Agricultural Science, University of Calcutta, Baruipur, South 24 Parganas. The diseases incidence was estimated and correlated with the weather parameters. The average of weather parameters viz., maximum temperature, minimum temperature, relative humidity (morning), relative humidity (evening) and rainfall prior to seven days of disease appearance were considered for study the correlation between the weather factors and the disease. In 2018, disease incidences of the plants shown at third date of sowing (26th April, 2018) in both the protected and unprotected plots had significant (P=.05) but negative correlation with maximum temperature. For plants sown at first date of sowing (27th March, 2018) in 2018 had disease incidences significantly (P=.05) and positively correlated with minimum temperature. However, in 2019, except for the relation between disease incidences in the unprotected plots and maximum temperature, all other disease-temperature correlations were non-significant. Disease incidences were positively and significantly correlated with relative humidity (both morning and evening) in all dates of sowing irrespective of experimental years, except with morning relative humidity at first date of sowing in first year. Total rainfall was positively and significantly correlated with disease incidences at all dates of sowing in 2018; however, such relation was non-significant in 2019. 


2019 ◽  
Vol 25 (1) ◽  
Author(s):  
MASROOR ALI KHAN ◽  
KHALID AL GHAMDI ◽  
JAZEM A. MEHYOUB ◽  
RAKHSHAN KHAN

The focus of this study is to find the relationship between El Nino and dengue fever cases in the study area.Mosquito density was recorded with the help of light traps and through aspirators collection. Climate data were obtained from National Meteorology and Environment centre. (Year wise El Nino and La Nina data are according to NOAA & Golden Gate Weather Services). Statistical methods were used to establish the correlation coefficient between different factors. A high significant relationship was observed between Relative Humidity and Dengue fever cases, but Aedes abundance had no significant relationship with either Relative humidity and Temperature. Our conclusion is that the El Nino does not affect the dengue transmission and Aedes mosquito abundance in this region, which is supported by earlier works.


Author(s):  
Natalie Rose ◽  
Les Dolega

AbstractThe weather is considered as an influential factor on consumer purchasing behaviours and plays a significant role in many aspects of retail sector decision making. As a result, better understanding of the magnitude and nature of the influence of variable UK weather conditions can be beneficial to many retailers and other stakeholders. This study addresses the dearth of research in this area by quantifying the relationship between different weather conditions and trading outcomes. By employing comprehensive daily sales data for a major high street retailer with over 2000 stores across England and adopting a random forest methodology, the study quantifies the influence of various weather conditions on daily retail sales. Results indicate that weather impact is greatest in the summer and spring months and that wind is consistently found to be the most influential weather condition. The top five most weather-dependent categories cover a range of different product types, with health foods emerging as the most susceptible to the weather. Also, sales from out-of-town stores show a far more complex relationship with the weather than those from traditional high street stores with the regions London and the South East experiencing the greatest levels of influence. Various implications of these findings for retail stakeholders are discussed and the scope for further research outlined.


2021 ◽  
Vol 13 (2) ◽  
pp. 313
Author(s):  
Yongfang Xu ◽  
Zhaohui Lin ◽  
Chenglai Wu

Central Asia is prone to wildfires, but the relationship between wildfires and climatic factors in this area is still not clear. In this study, the spatiotemporal variation in wildfire activities across Central Asia during 1997–2016 in terms of the burned area (BA) was investigated with Global Fire Emission Database version 4s (GFED4s). The relationship between BA and climatic factors in the region was also analyzed. The results reveal that more than 90% of the BA across Central Asia is located in Kazakhstan. The peak BA occurs from June to September, and remarkable interannual variation in wildfire activities occurs in western central Kazakhstan (WCKZ). At the interannual scale, the BA is negatively correlated with precipitation (correlation coefficient r = −0.66), soil moisture (r = −0.68), and relative humidity (r = −0.65), while it is positively correlated with the frequency of hot days (r = 0.37) during the burning season (from June to September). Composite analysis suggests that the years in which the BA is higher are generally associated with positive geopotential height anomalies at 500 hPa over the WCKZ region, which lead to the strengthening of the downdraft at 500 hPa and the weakening of westerlies at 850 hPa over the region. The weakened westerlies suppress the transport of water vapor from the Atlantic Ocean to the WCKZ region, resulting in decreased precipitation, soil moisture, and relative humidity in the lower atmosphere over the WCKZ region; these conditions promote an increase in BA throughout the region. Moreover, the westerly circulation index is positively correlated (r = 0.53) with precipitation anomalies and negatively correlated (r = −0.37) with BA anomalies in the WCKZ region during the burning season, which further underscores that wildfires associated with atmospheric circulation systems are becoming an increasingly important component of the relationship between climate and wildfire.


Plant Disease ◽  
2006 ◽  
Vol 90 (7) ◽  
pp. 915-919 ◽  
Author(s):  
W. Oichi ◽  
Y. Matsuda ◽  
T. Nonomura ◽  
H. Toyoda ◽  
L. Xu ◽  
...  

The formation of conidial pseudochains by the tomato powdery mildew Oidium neolycopersici on tomato leaves was monitored using a high-fidelity digital microscope. Individual living conidiophores that formed mature conidial cells at their apex were selected for observation. The conidial cells were produced during repeated division and elongation by the generative cells of the conidiophores. Under weak wind conditions (0.1 m/s), these conidial cells did not separate from each other to produce a chain of conidial cells (pseudochain). The pseudochains dropped from the conidiophores once four conidial cells were connected. The conidiophores resumed conidium production, followed by another cycle of pseudochain formation. The formation of pseudochains by tomato powdery mildew was not influenced by the ambient relative humidity. On the other hand, the conidial cells produced were easily wind dispersed without forming pseudochains when conidiophores were exposed to stronger winds (1.0 m/s). The present study successfully demonstrated that the pathogen required wind to disperse progeny conidia from the conidiophores and produced conidial pseudochains when the wind was below a critical level, independent of high relative humidity as reported previously.


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