scholarly journals Foraging behavior and honey production of Apismellifera L.

2015 ◽  
Vol 1 (2) ◽  
pp. 359-366
Author(s):  
Md Ektarul Islam ◽  
Md Jamil Hossain Biswas ◽  
Kazi Shahanara Ahmed ◽  
Faruki Shabia Maraj
Keyword(s):  
Life Cycle ◽  
Honey Bee ◽  
Foraging Behavior ◽  
Positive Relationship ◽  
University Campus ◽  
Bee Pollination ◽  
Positive Correlation ◽  
Honey Production ◽  
Queen Cell ◽  
Effect On Yield

Honeybee, Apismellifera L. was reared and maintained in bee box and placed in around Bangladesh Agricultural University campus in Mymensingh to study its life cycle, behaviour, pollen gathering activity, honey production and its effect on yield of mustard. There was no relationship between sunrises, sunset, first out from the box and last entrance into the box. But positive relationship was found with day temperature to first out and last entrance. The highest number of bees collected pollen in the 3rd week of March. Maximum pollen gathering activities were found at 12.00 to 1.00 p.m. The highest amount of honey production was 4.00 kg per box in mustard and there was positive correlation between percent pollen gathering activity and honey production. The highest number of queen cell was found in the month of March. The results showed that honey bee pollination had significant effect on increase in all the plant parameters and yield.Asian J. Med. Biol. Res. June 2015, 1(2): 359-366

scholarly journals Detection of Lotmaria passim, Crithidia mellificae and Replicative Forms of Deformed Wing Virus and Kashmir Bee Virus in the Small Hive Beetle (Aethina tumida)

Pathogens ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 372
Author(s):  
Antonio Nanetti ◽  
James D. Ellis ◽  
Ilaria Cardaio ◽  
Giovanni Cilia
Keyword(s):  
Honey Bee ◽  
Aethina Tumida ◽  
Small Hive Beetle ◽  
Deformed Wing Virus ◽  
Queen Cell ◽  
Kashmir Bee Virus ◽  
Acute Bee Paralysis Virus ◽  
Bee Virus ◽  
Paralysis Virus ◽  
Lotmaria Passim

Knowledge regarding the honey bee pathogens borne by invasive bee pests remains scarce. This investigation aimed to assess the presence in Aethina tumida (small hive beetle, SHB) adults of honey bee pathogens belonging to the following groups: (i) bacteria (Paenibacillus larvae and Melissococcus plutonius), (ii) trypanosomatids (Lotmaria passim and Crithidia mellificae), and (iii) viruses (black queen cell virus, Kashmir bee virus, deformed wing virus, slow paralysis virus, sacbrood virus, Israeli acute paralysis virus, acute bee paralysis virus, chronic bee paralysis virus). Specimens were collected from free-flying colonies in Gainesville (Florida, U.S.A.) in summer 2017. The results of the molecular analysis show the presence of L. passim, C. mellificae, and replicative forms of deformed wing virus (DWV) and Kashmir bee virus (KBV). Replicative forms of KBV have not previously been reported. These results support the hypothesis of pathogen spillover between managed honey bees and the SHB, and these dynamics require further investigation.

scholarly journals Host range expansion of honey bee Black Queen Cell Virus in the bumble bee, Bombus huntii

Apidologie ◽  
2011 ◽  
Vol 42 (5) ◽  
pp. 650-658 ◽  
Author(s):  
Wenjun Peng ◽  
Jilian Li ◽  
Humberto Boncristiani ◽  
James P. Strange ◽  
Michele Hamilton ◽  
...  
Keyword(s):  
Host Range ◽  
Honey Bee ◽  
Range Expansion ◽  
Bumble Bee ◽  
Black Queen Cell Virus ◽  
Host Range Expansion ◽  
Queen Cell

scholarly journals Life Cycle Assessment of Filtration Systems of Reverse Osmosis Units: A Case Study of a University Campus

Procedia CIRP ◽  
2016 ◽  
Vol 40 ◽  
pp. 268-273 ◽  
Author(s):  
Vikrant Bhakar ◽  
D.N.S. Hemanth Kumar ◽  
Nitin Krishna Sai ◽  
Kuldip Singh Sangwan ◽  
Smita Raghuvanshi
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Reverse Osmosis ◽  
University Campus

scholarly journals Ecological characteristics of Varroa destructor (parasitiformes, varroidea) and its environmental capacity as a key factor for development of varroosis panzootia

2012 ◽  
Vol 46 (5) ◽  
pp. 8-14
Author(s):  
I. A. Akimov ◽  
O. P. Korzh
Keyword(s):  
Life Cycle ◽  
Honey Bee ◽  
Host Species ◽  
Varroa Destructor ◽  
Varroa Mite ◽  
Environmental Capacity ◽  
Ecological Characteristics ◽  
High Pathogenicity ◽  
Key Factor

Ecological Characteristics of Varroa destructor (Parasitiformes, Varroidae) and Its Environmental Capacity as a Key Factor for Development of Varroosis Panzootia. Akimov I. A., Korzh O. P. - By means of formalized schematic models of relationship with hosts the varroa mite uniqueness as a parasite is shown. The life cycle of this species requires the change of a host species at different stages of their development and physiological states. Thus the mite parasitizes not only a separate bee but a whole hive. The fact that the whole hive but not a single bee dies during varroosis development supports this idea. The impetus for this type of parasitism is the relative constancy of the environment in the hive supported by bees even in winter. Exactly this fact causes high pathogenicity of the varroa for the honey bee and its control complexity.

Foraging Behavior and Honey Production

2019 ◽  
pp. 235-257 ◽  
Author(s):  
Thomas E. Rinderer ◽  
Anita M. Collins
Keyword(s):  
Foraging Behavior ◽  
Honey Production

scholarly journals Foraging behavior of major insect pollinators on pumpkin, Cucurbita moschata (Duch.ex Lam)

2017 ◽  
Vol 9 (2) ◽  
pp. 1208-1213
Author(s):  
Lalita Lalita ◽  
Yogesh Kumar
Keyword(s):  
Honey Bee ◽  
Foraging Behavior ◽  
Activity Period ◽  
Field Crop ◽  
Cucurbita Moschata ◽  
Foraging Activity ◽  
Peak Period ◽  
Insect Pollinators ◽  
Foraging Rate ◽  
The Mean

Foraging activity period of different honey bee species on C. moschata (C-1076) flowers at different day hours during August-September (2013) revealed that A. dorsata, A. mellifera, A. cerana and A. florea initiated their activity early in the morning at 0530, 0615, 0625 and 0630 h, respectively and stopped their activity at 1030, 1020, 1025 and 1030 h of the day, respectively while on C. moschata (C-1106, A. dorsata, A. mellifera, A. cerana and A. florea initiated their activity early in the morning at 0535, 0615, 0620 and 0625 h, respectively and ceased their activity at 1045, 1025, 1015 and 1040 h of the day, respectively. The mean foraging speed (time spent per flower) in seconds on flowers of pumpkin (C-1106) was maximum of A. florea (181.72), followed by A. mellifera (7.15), A. cerana (6.05) and A. dorsata spent least time (5.83) and in pumpkin (C-1076), foraging speed was maximum in case of A. florea (178.71), followed by A. mellifera (7.63), A. cerana (6.24) and A. dorsata spent least time (6.06). The mean foraging rate (flowers visited per minute) on flowers of pumpkin (C-1106) was maximum in case of A. dorsata (5.13), followed by A. cerana (4.30), A. mellifera (4.16) and A. florea visited least flower (0.32) and in pumpkin (C-1076), foraging rate was maximum in case of A. dorsata (4.96), followed by A. cerana (4.19), A. mellifera (4.02) and A. florea visited least flower (0.33). Present study advises the farmers that they should not apply the pesticide when the activityof honey bee is on the peak period because pesticides application at the time of bee activity in the field crop causes mortality of bees.

scholarly journals Foraging behavior of major insect pollinators on Pumpkin, Cucurbitamoschata (Duch.ex Lam)

2017 ◽  
Vol 9 (3) ◽  
pp. 1603-1607
Author(s):  
Lalita Lalita ◽  
Yogesh Kumar
Keyword(s):  
Honey Bee ◽  
Foraging Behavior ◽  
Activity Period ◽  
Field Crop ◽  
Foraging Activity ◽  
Peak Period ◽  
Insect Pollinators ◽  
Foraging Rate ◽  
The Mean

Foraging activity period of different honey bee species on C. moschata (C-1076) flowers at different day hours during August-September (2013) revealed that A. dorsata, A. mellifera, A. cerana and A. florea initiated their activity early in the morning at 0530, 0615, 0625 and 0630 h, respectively and stopped their activity at 1030, 1020, 1025 and 1030 h of the day, respectively while on C. moschata (C-1106, A. dorsata, A. mellifera, A. cerana and A. florea initiated their activity early in the morning at 0535, 0615, 0620 and 0625 h, respectively and ceased their activity at 1045, 1025, 1015 and 1040 h of the day, respectively. The mean foraging speed (time spent per flower) in seconds on flowers of pumpkin (C-1106) was maximum of A. florea (181.72), followed by A. mellifera (7.15), A. cerana (6.05) and A. dorsata spent least time (5.83) and in pumpkin (C-1076), foraging speed was maximum in case of A. florea (178.71), followed by A. mellifera (7.63), A. cerana (6.24) and A. dorsata spent least time (6.06). The mean foraging rate (flowers visited per minute) on flowers of pumpkin (C-1106) was maximum in case of A. dorsata (5.13), followed by A. cerana (4.30), A. mellifera (4.16) and A. florea visited least flower (0.32) and in pumpkin (C-1076), foraging rate was maximum in case of A. dorsata (4.96), followed by A. cerana (4.19), A. mellifera (4.02) and A. florea visited least flower (0.33). Present study advises the farmers that they should not apply the pesticide when the activity of honey bee is on the peak period because pesticides application at the time of bee activity in the field crop causes mortality of bees.

scholarly journals PROSPECT BUDIDAYA USAHA LEBAH MADU (Trigona sp) DENGAN METODE TOPING DAN STUP

2020 ◽  
Vol 4 (2) ◽  
pp. 13-22
Author(s):  
Safrin Edy ◽  
Laode Al Hemawan Ardi
Keyword(s):  
Honey Bee ◽  
Carrying Capacity ◽  
Honey Bees ◽  
Business Development ◽  
Feasibility Analysis ◽  
Business Opportunity ◽  
Honey Production ◽  
Business Opportunities ◽  
Additional Costs ◽  
Bee Colonies

This study aims to analyze the feasibility of the business and analyze the opportunities and threats of Trigona Ongka farm in Laompo Village, Batauga District, South Buton Regency. The research was conducted from January to February 2020 in Laompo Village, Batauga District, South Buton Regency. The sample in this study was 1 (one) honeybee breeders (Trigona sp). The method used is the independent sample t-test and the R / C feasibility analysis. Business opportunities and threats are analyzed qualitatively. The results showed that the business feasibility of Trigona sp honey bee livestock through the STUP and topping method was 1.5, (R/C > 1), meaning that each additional cost incurred resulted in a larger increase in revenue as much as IDR 1,400,000 for the STUP method and IDR 1,500,000 for the topping method instead of additional costs or simply profitable business activities. The honey bee livestock business opportunity of Trigona sp, namely honey as a favorite that is popular, relatively stable price, partially known production of the community, the location is easy to reach by vehicles, the availability of large land for business development. While the threat of Trigona sp honey bee livestock, namely: lack of environmental carrying capacity, so that environmental improvements and increasing the number of bee colonies are needed to increase honey production, do not have a product brand to be widely commercialized, product quality standardization is still poorly understood by breeders, there is no internal coordination between breeders to strengthen institutions and lack of access to assistance from capital institutions in terms of capital.  Keywords: Prospects, Business Feasibility, Honey Bees

scholarly journals Higher Mortality and Infection Rate in a Region or Country Suggest a Longer Time of COVID-19 Disease Pandemic

2020 ◽  
Author(s):  
Tianshu Gu ◽  
Lan Yao ◽  
Tong Sun ◽  
Sara W. Day ◽  
Scott C. Howard ◽  
...  
Keyword(s):  
Infection Rate ◽  
Death Rate ◽  
Positive Relationship ◽  
Disease Duration ◽  
Strong Positive Correlation ◽  
Positive Correlation ◽  
Number Of Patients ◽  
The World ◽  
Total Death ◽  
R Value

Abstract In view of the fact that the 2019-nCoV has spread to most countries in the world, it is necessary to make scientific and well-founded predictions of the current pandemic situation caused by the virus worldwide, which are conducive to public, social and government responses that mitigate and appropriately address the pandemic. We collected data from provinces with more than 200 cases in China and from eight other countries. Our analyses showed that the disease duration has no correlation with the number of patients, with r = 0.184. The number of deaths was not correlated to the disease duration, with r = 0.242. However, a positive correlation between the days of disease duration and infection rate, with a r = 0.626. Furthermore, there is a strong positive correlation between the disease duration and total death rate, with a r = 0.707. Using death rate of first 25 days, we obtained a positive relationship with a r value of 0.597. Based on the data from first 25 days, the minimum and maximum days of COVID-19 pandemic duration of eight countries was estimated between days of 37 and 114 days.

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