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International Journal of Animal Science

Diagnostic Survey of Honey Bee Disease in East Wollega Zone, Oromia National Regional State, Ethiopia

[ ISSN : 2575-7806 ]

Abstract Citation INTRODUCTION MATERIALS AND METHODS Study Design and Sampling Procedure Adult Honeybee and Brood Sampling Diagnosis for Major Honeybee Diseases and Pests Laboratory Examination of Varroa destructor Laboratory Examination of Tracheal Mite Laboratory Examination of Nosema and Amoeba diseases Laboratory Examination of Chalk Brood Disease Examination of American Foulbrood (AFB) and European Foulbrood (EFB) Data Management and Statistical Analysis RESULT AND DISCUSSION Beekeeping Activities and Potentials Sources of Honeybee Colony Apiary site Inspection by Beekeepers The trend of honeybee colony and products Reasons for Decreasing the Trend of Cause of Honeybee Colony and Yield Decrease The Prevalence of Honeybee Disease and Pests Prevalence of Chalk Brood Disease Prevalence of Amoeba disease Prevalence of Nosema Disease Prevalence and Infestation of Varroa Mites The Prevalence and Infestation of Bee Lice CONCLUSION AND RECOMMENDATIONS REFERENCE
Details

Received: 02-May-2024

Accepted: 13-May-2024

Published: 17-May-2024

Amsalu Arega Buli*

Amsalu Arega Buli* Bako Agricultural Research Centre, Oromia Agricultural Research Institute, Ethiopia

Corresponding Author:

Amsalu Arega Buli, Bako Agricultural Research Centre, Oromia Agricultural Research Institute, Oromia Regional State, Ethiopia

Keywords

Honeybees; Disease; Pests; Prevalence; Infestation; Oromia

Abstract

The study was conducted to assess the honey bee pests, predators, and diseases in the selected districts of East Wollega Zone. A cross-sectional study design was used for this study to determine honeybee disease and pests. A questionnaire survey and laboratory diagnostic methods were used for the study. The questionnaire was administered to 104 beekeepers (97.1% males). Totally 52 beekeeping sites and two honeybee colony samples from each beekeeper sites, totally (104 honeybee colonies), were collected from frame box hives for laboratory diagnosis. The major cause of honey bee colony and yield decrease ranked by respondents were 1st pets and predators, 2nd Honeybee diseases and 3rd in appropriate agrochemical application. Majority of honeybee colonies were infested by ant 538(21.3%), by beetles 378(14.9%) and by wax moth 315(12.5%), in all districts. Among all pest and predators listed by respondents honeybee colonies were absconded by ants 213(8.4%), wax moth 194(7.7%) and by beetles 193(7.6%). After having identified the major pests, beekeepers were requested to rank them in order of their importance and the result indicated that Ants (1st), beetles (2nd), Wax moth (3rd) and honey badgers (4th) were the most harmful pests in order of degree of their importance. 52 beekeeping sites and 104 honeybee colonies were examined for major honeybee parasites (Varroa mites, bee lice, and tracheal mites), adult honeybee diseases (Nosema and Amoeba) and brood diseases (Chalk brood, American and European Foul brood) with their prevalence in the study area. However, AFB, EFB, SBD, and tracheal mite was not confirmed during the study period.

Citation

OBuli AA (2024) Diagnostic Survey of Honey Bee Disease in East Wollega Zone, Oromia National Regional State, Ethiopia. Int J Anim Sci 5: 8

INTRODUCTION

Ethiopia is endowed with diverse agro climatic features which favors for the growth of diverse natural and cultivated floral species supporting huge number of bee colonies [1-3]. Beekeeping is an economic activity of the agricultural sector and an environmentally sustainable production model, crucial for biodiversity and agriculture. Beekeeping provides additional income for many poor communities, creating new opportunities in rural areas, and improves the living conditions of many families. In addition, the pollination service provided by honeybees generates increases in crop yields and contributes to the balance of the ecosystem and biodiversity.

Like all other insects, honeybees (Apismellifera) are susceptible to pests and diseases. Honey bees suffer from a range of bacterial, fungal, microsporidian and viral pathogens, as well as ectoparasitic mites, which can all lead to poor colony health and colony loss. It is important for beekeepers to be aware of these disorders, to identify them and effectively manage disorders to maintain healthy colonies. This is particularly important because the health of one beekeeper’s colony can impact another beekeeper’s colony in the surrounding area. The honeybee population and its products decline from time to time by some factors like, honey bee disease, pests, predators, pesticide, environmental stress and genetic disorder [4].

The economic loss associated with the presence of honey bee diseases and pest lead to significant product lost. In the present time the major honeybee diseases, pests and predators and their rate of distribution are reported in Ethiopia [5]. However, there should be regular and wide-scale diagnostic survey to monitor the occurrence of new pests and disease affecting honeybee’s health. There is still insufficient evidence on the side effects of pests and diseases. Very importantly, a comprehensive strategic response to the recently occurred varroa mite threat in determining its thresholds, economic damages and behavioral attributes with devising control options are very important [6].

There are many honey bee diseases (bacterial, fungal, viral, microsporidia), parasites (mites), predators (bears, birds, humans), and pests (beetles, moths) that can adversely affect managed honey bee productivity and survival [7]. Colony strength and health status are regularly assessed, and samples are taken and checked for disease and parasite loads. The adequate methods for defining and assessing the causes of death of honey bee colonies are not well implemented. This makes it difficult to assign annual die-offs to specific causes, and that makes it difficult for beekeepers to know what problems should be demanding their greatest attention.

A well-defined list of symptoms for each honey bee pest, parasite, pathogen, and predator allows for differential diagnosis of honey bee pathologies. Due to this difficulty in diagnosing a problem, it will be necessary to collect and archive samples of bees regularly. Honey bee colony health has received considerable attention in recent years, with many studies highlighting multifactorial issues contributing to colony losses. Disease and weather are consistently highlighted as primary drivers of colony loss, yet little is understood about how they interact.

Consequently, the study was carried out directing to the general objective to create baseline data on the current status of honeybee colony health problems in East Wollega Zone designed with the specific objectives:

• To determine the occurrence and prevalence of honeybee diseases, pests and predators

• To determine the effect of honeybee diseases, pests and predators on honey bee colonies and their products in the study areas

MATERIALS AND METHODS

Description of the Study Area

The study was conducted in East Wollega Zone, Oromia Regional state at about 332km away from Addis Ababa, the capital city of Ethiopia. The zone is located at 360 30’00” to 360 45’00’’longitude and 90 05’00’’ to 90 15’00’’ latitude with elevation ranging from 1000m to 3207m. The annual rainfall of the zone ranged from 1500mm to 2200mm with mean annual temperature 15-200C [8]. The study districts covered in this study were; Diga , Gida Ayana, Gobu Sayyo and Wayu Tuka. (Figure 1) 

Figure 1: Map of the study area

Study Design and Sampling Procedure

A cross-sectional study was conducted on honeybee colonies to assess the prevalence of common honeybee diseases, pests and predators by using microscopic examination for protozoa parasite and macroscopic examination for Varroa mite and bee louse from adult worker honey bee. Semi structured questionnaire was administered from each apiarist to assess honeybee pests and predators in the study area.

From each sampling localities, adult honeybee and if possible sealed brood samples were taken from sampled honeybee colonies. In the absence of sealed brood, empty old brood combs were taken to see the remnant symptoms of disease attacks. Moreover field observations were carried out on the presence of pests and the necessary records were carried out. In addition to this, beekeepers were asked if any occurrences of some diseases in the past (like chalk brood) but which is not now observed and their reports were recorded.

Adult Honeybee and Brood Sampling

A cross-sectional study was carried out in East Wollega Zone, in Diga, Gida Ayana, Gobu Sayo and Wayu Tuka, by considering beekeeping with transitional and modern beekeeping methods to identifying of the major type of pests & disease causes of significant economic loss in honey bees by observing and collecting samples from the colonies. Then, isolation and identification of bee diseases causing pathogens were conducted. Diagnosis was confirmed by integrating clinical and parasitological studies. To examine the prevalence and infestation rates of the onset of diseases and pests, two honeybee colonies considering every 52 beekeepers as one apiary site, totally 104 honeybee colonies samples were taken from all districts. The beekeeper should be 2km-5km far distant from each other. Internal and external inspection were done and adult honeybees and broods were taken for laboratory diagnoses. Finally, the prevalence for apiary level and infestation/ infection for colony level was calculated using (Vanenglesdorp et al., 2013) protocols:

Diagnosis for Major Honeybee Diseases and Pests

Field observation and diagnosis were conducted through colony inspections for major honeybee diseases including Nosema, Amoeba, Chalk brood, American foul brood, European foul brood (where there was suspected clinical symptoms). Besides field observations, laboratory testing for each type of diseases examination was conducted following the standard procedures for each honeybee diseases.

Laboratory Examination of Varroa destructor

The study followed the standard methods for Varroa detection [9]. From each sample of honeybee colonies, 250 adult honeybees were brushed off from the brood comb directly into a wide mouth plastic container. The collected adult bees were killed using 70% ethyl alcohol and placed in 10 ml of 1% detergent-water solution then vigorously shaken for 1 minute to dislodge mites. The mites were collected by filtering the solution through a ladle (8- to-12-mesh) which holds the mites back and discharge the solutions. The wire gauze was turned down to white paper on which the presence/ absence of the mite was examined and counted.

For brood examinations samples of 5 X 5cm brood comb areas from the drone and/or worker pupae broods were taken. About 100 pupae were randomly removed from their cells using forceps and checked for the presence of varroa mites on the worker and/ or drone pupae. The number of varroa mites observed in both diagnosis (adult and brood) were recorded.

Laboratory Examination of Tracheal Mite

Samples of 20-30 adult honeybees collected from colonies at random and preserved by adding by 70% alcohol. The head and first pair of legs of honeybees were removed using scissors. Transverse-section thoracic disks were sliced and placed directly in a small bottle containing 10-percent potassium hydroxide (KOH). The sliced thoracic disks in KOH were heated and stirred gently near to the boiling point for approximately 10 minutes until the soft internal tissues dissolved to expose tracheal rings. The disk-trachea suspension was examined for mite infestation under light microscope [10].

Laboratory Examination of Nosema and Amoeba diseases

As these two diseases affect the abdominal contents of adult honeybees, their sampling and diagnostic techniques are almost the same. Therefore, bee samples collected for either of the two can help to tell the condition or status of the other [11]. The samples of 60 bees should be collected in order to detect 5% of diseased bees with 95% confidence [12] and preserved in 70% alcohol until laboratory analysis. The abdomen of honeybees from each sample was cut and grounded in a mortar containing 5-10ml distilled water. The mortar and pestle were thoroughly cleaned before being used again. A loop of suspension were placed on microscopic slide using the sterilized loop and covered with cover slid. Then the suspension was examined under a light microscope.

Laboratory Examination of Chalk Brood Disease

Both external and internal inspection will be conducted for the presence of chalk brood clinical symptoms. Dry scales with white to dark colour moulds and chalk brood mummies will be carefully observed in the comb cells and on the bottom boards of the hives. Then mummies were moistened with distilled water and the supernatant was placed on a microscope slide ande xamined under the light microscope for spores or spore balls and cysts of Ascosphera apis [13].

Examination of American Foulbrood (AFB) and European Foulbrood (EFB)

In randomly selected apiaries about three and above colonies were inspected internally for major clinical symptoms of bacterial diseases with emphasis to AFB and EFB. Typical clinical symptoms such as irregular brood arrangement, sunken and dark capping with puncture holes, dead and decayed larvae with dark “scales” and slight to pronounced odor was examined for the occurrence of AFB in the colonies. Similarly, twisted larvae with creamy-white guts visible through the body wall, melted and yellow white larvae with unpleasant sour odour and loosely-attached brown scales were directly observed for the infected colonies by EFB. Furthermore, match stick test (stretch test) was employed to observe the robby thread stretching for the typical clinical symptoms of bacterial diseases.

From any suspected brood showing one of the above important clinical symptoms, brood smear samples was prepared on frosted end microscopic slide and legibly labeled for further laboratory diagnosis according to Primefact, 2009 (www.dpi.nsw.gov.au/primefacts). Both Nigrosine and Holstic milk test approach was conducted according to the procedure of Shimanuki et al. (2000) for the presence and protolytic reaction of gram+ spores, respectively. Samples will be examined under microscope for the presence of Paenibacillus larvae and Melissoccocus pluton in positive samples AFB and EFB, respectively using Zeiss AxioVert A.1 light microscope under oil immersion (magnification power of 100X)

Data Management and Statistical Analysis

The collected data were stored in Microsoft Excel and SPSS software programs (SPSS @, version 20) for analysis. The statistical analysis used in the study was varied depending on the type of variable and information obtained. Summarized data was presented in the form of tables and figures. The data collected through semi-structured questionnaires were analyzed using descriptive statistics and the ranking of the different types of beekeeping constraints, Common cause of honeybee colony and yield decrease, control method of bees from agrochemicals and the effect of pest and predators on honeybee colonies obtained in the study were done by using the rank index formula as described by [14].

Rank index=sum of (5 X number of household ranked first +4 X number of household ranked second +3 X number of household ranked third +2 X number of household ranked fourth +1 X number of household ranked fifth) for an individual reason divided by the sum of (5 X number of household ranked first +4 X number of household ranked second +3 X number of household ranked third +2 X number of household ranked fourth +1 X number of household ranked fifth) for overall reasons.

RESULT AND DISCUSSION

Socio-Demographic Characteristics of the Respondent

From 104 sample households, about 2.9% female and 97.1% male headed. About 45.2% of respondent’s age ranges from 18 to 42. Concerning to occupational status of beekeepers, 99% were farmers. Most of the beekeepers practice beekeeping as a side of crop production in the study area. This result shows that beekeepers in the study areas were more in productive age. Based on the education status of respondents, about 40.4%, 34.6% and 23.1% of respondent beekeepers have attended elementary, secondary school and others can read and write respectively. Beekeeping activity in the study area were practiced by both educated and non-educated beekeepers, but beekeepers with the better educational backgrounds were more productive since they adopted efficient beekeeping technologies of beekeeping (Table 1).

Table 1: Socio- demographic characteristics of households

Socioeconomic Variables Category N Percentage (%)
Sex Female 3 2.9
Male 101 97.1
  18-30 31 29.8
  31-42 47 45.2
age 43-45 17 16.3
  56-68 6 5.8
  >69 3 2.9
Occupation Farmer 103 99
Merchant 1 1
  Can Write And 24 23.1
  Read
Education level Elementary 42 40.4
  Secondary 36 34.6
  Diploma 2 1.9

Beekeeping Activities and Potentials

Based on respondents and visual observation the beekeeping activities in all districts have been practiced sideline with other agricultural activities (100%). There were no any respondents who depend only on beekeeping. Most beekeepers were started beekeeping before 1994 (92.3%) with traditional beehives, 1994-2004 (49.0%) with traditional beehive and transitional beehives, 1994-2004 (29.8%) with transitional beehives, 2005-2015 (35.6%) with movable frame box beehives and after 2015(40.4%) with movable frame box and (28.9%) with transitional beehives. This in indicate the use of modern beekeeping technologies were increasing that beekeepers were related within age of between 31-42 years (Table 2). The beekeeping experience has positive correlation with usage of improved beekeeping technologies (P<0.01). Most of the respondents were shifting their traditional beekeeping to transitional and frame box beekeeping systems.

Table 2: Beekeeping activities and potentials

Time category Hive type Frequency (%)
  Traditional 92.3
<1994 Transitional 5.8
  Moveable frame box 1.9
  Traditional 49
1994-2004 Transitional 29.8
  Moveable frame box 21.2
  Traditional 35.6
2005-2015 Transitional 27.8
  Moveable frame box 35.6
  Traditional 31.7
>2015 Transitional 28.9
  Moveable frame box 40.4

Sources of Honeybee Colony

The result indicates the sources of honeybee colonies were mainly by catching swarms and gifts from parents (Table 3). This indicate that there were no colony transportation from one place to other and beekeeper can access honeybee colony from their area. These are also opportunities for future honey production improvement in the study area were Presence of huge number of bee colonies.

Table 3: Beekeeping activities and potentials

Source of colony Frequency Percent (%)
From parents 41 23.2
By catching swarms 85 56.8
By Buying colonies 13 9.4
From parents and catching swarm 27 19.1
From parents and buying colonies 7 2.4
By catching swarms and by buying colonies 6 4.1

Apiary site Inspection by Beekeepers

Participated respondents were interviewed to describe the frequency of inspecting their apiary and honeybee colonies. Majority of the beekeepers inspect their apiary and colonies everyday 70.2% of the respondents replied that they take a look externally into the hives every day, 28.8% per month and 1.0% per month (Table 4).

Table 4: Apiary site Inspection by Beekeepers

Inspection Schedule N Frequency (%)
Everyday 73 70.2
Per week 30 28.8
Per month 1 1
Rarely 0 0

The trend of honeybee colony and products

Based on the majority of the respondents, the trend of honeybee colony and its Products were decreasing and some of the beekeepers also responded to honeybee colonies and yields were increasing and others responded to stable (Figure 2). As the result of data, most beekeepers faced with a shortage of food for their honey bee colony and faced with no products. Sometimes the colony population and there products were decreasing with various factors.

Figure 2: The trend of honeybee colony and products

Reasons for Decreasing the Trend of Cause of Honeybee Colony and Yield Decrease

The major cause of honey bee colony and yield decrease ranked by respondents were 1st pets and predators, 2nd Honeybee diseases and 3rd in appropriate agrochemical application (Table 5). All of these factors resulted in decrease in productivity and honeybee colony population. The result are agreement with [15,16] shortage of bee forage is ranked first due to population pressure, lack of land use policy and the high demand for farmlands put pressures on mountainous areas to be used for crop production and livestock grazing. These create deforestation, soil erosion and, irreversible ecological degradation. Shortage of bee forage directly associated with an off flowering period of major honeybee forages.

Table 5: Cause of honeybee colony and yield decrease

Common problems Relative degree of importance    
  1st 2nd 3rd 4th 5th index Rank
Lack of bee forage 9 11 14 13 30 0.093 6
Lack of water 0 0 0 3 24 0.015 8
Drought 0 0 0 0 3 0.002 9
Absconding 11 11 14 8 28 0.092 7
Unwise use of agrochemicals 13 18 38 12 2 0.138 3
Pests and predators 61 14 22 3 0 0.216 1
Decrease in price of honey 15 8 23 34 1 0.122 5
Honeybee disease 32 45 11 4 0 0.19 2
High price of bee equipment 19 21 24 5 0 0.13 4

Similarly with [17] indicated that the presence of honeybee pests and pathogens, prevailing bad weather (prolonged precipitation and freezing and heavy wind speed), Lack of knowledge and skill of honeybee pest and diseases control, application of agrochemical (direct spray of pesticide on bee visited agricultural crops), shortage of bee forage, poor or absence of practice of hive shading, Lack of practice of hive inspection and shortage of improved hive types were ranked in the decreasing order of their importance.

The Prevalence of Honeybee Disease and Pests

In this study 52 beekeeping sites and 104 honeybee colonies were examined for major honeybee parasites (Varroa mites, bee lice, and tracheal mites), adult honeybee diseases (Nosema and Amoeba) and brood diseases (Chalk brood, American and European Foul brood) with their prevalence in the study area. However, the prevalence of AFB, EFB, SBD, and tracheal mite was not confirmed during the study period. Based on the data collection and laboratory diagnosis method during the study, the following results was recorded (Figure 3).

Figure 3: Field examination and laboratory diagnosis procedure and results.

Prevalence of Chalk Brood Disease

Out of 52 apiary sites 10(19.2%) and 104 examined colonies, 21(20.2%) were found infected with chalk brood disease (Ascosphaera apis). Highest prevalence was recorded in Wayu Tuka district (31.8%) and the lowest in Gobu Sayo district (10%) (Table 6).

Table 6: Prevalence of Chalk brood disease

Districts prevalence Infection
  Examined Positive Prevalence (%) Examined Infected colony Infection (%)
Diga 11 3 27.3 22 7 31.8
Gida Ayana 13 2 15.4 26 5 19.2
Gobu Sayo 15 1 6.7 30 3 10
Wayu Tuka 13 4 30.8 26 6 23.1
overall 52 10 19.2 104 21 20.2
  Chi square = 3.57. P-value = 0.31.

The current result was lower than the previous reports conducted in different part of Ethiopia at different times. During the first time of its discovery in Ethiopia by [18], 61.5% of apiaries and 17.4% honeybee colonies were infected with the Ascosphaera apis. Afterward, the research conducted around Shoa and Arsi zones of Oromia region, about 56.5% was reported Desalegn [18]. The current result was less than result conducted at around Addis-Ababa also revealed about 43% prevalence Desalegn [19]. The diagnostic Chalk brood survey in all beekeeping potential regions of the country Aster et al., [20], 37.12%, 19.9% and 17.9% prevalence were reported for Amhara, Oromia and Benshangul-Gumuz regional states respectively.

The prevalence of Chalk brood disease was limited during the dry season. Similarly the growth of Chalk brood in the honey bee nest appears to be enhanced by high moisture (colonies not well ventilated in high humidity situations), cool temperatures, and colony stress and the humidity favors the multiplication of fungus [21-23].

Prevalence of Amoeba disease

For laboratory analysis 52 beekeeping sites were examined and M. mellificae was confirmed in apiary sites 24 (46.2%). The infectious level also tested that out of 104 honeybee colonies 52(50.0%) tested positive (Table 7). Overall colony level prevalence and infectious of amoeba disease was higher than in Wayu Tuka district and the infection of amoeba was higher in Diga districts.

Table 7: The Prevalence of Malpighamoebamellificae

    Prevalence Of Amoeba   Infectious Of Amoeba
Study Districts N +Ve % N +Ve %
Diga 11 5 45.5 22 12 54.5
Gida Ayana 13 4 30.8 26 13 50
Gobu Sayo 15 7 46.7 30 14 46.7
Wayu Tuka 13 8 61.5 26 13 50
overall 52 24 46.2 104 52 50
X2 for prevalence and infectious Chi square = 5.85. P-value = 0.12

N=Number of beekeeping sites and honeybee colonies examined, +Ve= Number of honey bee colonies found positive

The result showed that Malpighamoeba mellificae pathogen was occurred throughout the year. The same result reported by [24] indicated that Amoeba disease was reported to be widely distributed and identified in most places of the country throughout the year. The difference in prevalence and infestation level of amoeba disease was affected by agroecology and temperature. The result contradicted with the finding by [20,25], who reported that the highest cyst number (infestation) in the months of April and August (high humidity) and lowest intensity in the month of January (high temperature) was recorded.

Prevalence of Nosema Disease

For laboratory analysis 52 beekeeping sites and 104 honeybee colonies were examined. Nosema apis was confirmed in 26 apiary sites (50%) and 47 (45.2%) colonies during the honey active season dearth period respectively. The colony level prevalence also tested that out of 104 honeybee colonies 53(51.0%) tested positive in active season and 57(54.8%) tested positive in the death period (Table 8). The prevalence of Nosema disease in Diga district was higher in both active and dearth period. The difference of nosema disease may be due to the humidity condition. According to study by [26] the infestation level increase when bees are confined and transmit the pathogen among bees via the ingestion of contaminated comb material and water, and by trophallaxis; honey stores and crushed infected bees. Nosema can cause problems during winter months when bees are confined within the hive for long periods [27] (Figure 4).

Figure 4: Laboratory examination of Nosema apis and Malpighamoeba mellificae.

Table 8: Prevalence of Nosema apis in inspected apiaries and honeybee colonies.

    Prevalence Of Nosema apis N=104 Infectious of Nosema apis
Study Districts N=52 +Ve % +Ve %
Diga 11 5 45.5 22 12 54.5
 
G/Ayana 13 6 46.2 26 14 53.8
G/Sayo 15 8 53.3 30 14 46.7
W/Tuka 13 7 53.8 26 13 50
Overall 52 26 50 104 53 51
X2 for prevalence and infectious Chi square = 1.87 P-value = 0.6

N=Number of beekeeping sites and honeybee colonies examined, +Ve= Number of honey bee colonies found positive

Prevalence and Infestation of Varroa Mites

Varroa originally evolved in Asia, on a different species of honeybee, the Asian honey bee (Apiscerana), and has since spread to the western honey bee (Apismellifera) throughout most of the world. According to Varroa is now present in almost all honey bee colonies at different levels of infestation that are always increasing unless treated. From the total of 52 sample of apiary sites examined for the prevalence of varroa, 49 sites (94.2%) and similarly, from the total of 52 beekeeping sites examined in sealed brood, 48(92.3%) beekeeping site were Varroa mites positive. From the total of 104 honeybee colonies examined for infestation of Varroa mites in adult bees, 97 (93.3%) honeybee colonies were during the study period (Table 9).

Table 9: Prevalence and Infestation of Varro destructor

    Varroa Mite In Apiaries Varroa Mite In Sealed Brood   Infestation of varroa
Study Districts N=52 +Ve % +Ve % N=104 +Ve %
Diga 11 11 100 10 90.9 22 21 95.5
G/Ayana 13 11 84.6 12 92.3 26 25 96.2
G/Sayo 15 15 100 14 93.3 30 27 90
W/Tuka 13 12 92.3 12 92.3 26 24 92.3
Overall 52 49 94.2 48 92.3 104 97 93.3
  Chi square = 1.36
X2 for prevalence and infestation  
  P-value = 0.71

N=Number of apiary sites examined, +Ve= Number of sites found positive

The varroa destructor infestation was limited during the dearth period. The infestation was higher in the active period than in the dearth period. The difference in infestation in the active period may be due to more availability pollen source for brood rearing that related to egg laying of varroa in brood, as brood rearing depends on bee forage availability in the area and the result indicate that, the infestation rate was higher in the active period than in the dearth period.

The Prevalence and Infestation of Bee Lice

From the total 52 apiary sites examined for the prevalence of Braulacoeca, 12(23.1%) and from the total 104 honeybee colonies examined for infestation of Braulacoeca, 25(24.0%) honeybee colonies were infested (Table 10). The overall prevalence of bee lice (23.1%) observed in the current study was much greater than in other previous reports in Ethiopia. The present result was higher than the report of [28] who indicated the prevalence rate of 4% in adult honey bees. However, the current finding was less than the report by, who found a 42% lice prevalence in and around Holata. However, according to, the highest prevalence of bee lice observed in the strong colony than of the weak colony [29-34].

Table 10: The prevalence and infestation of bee lice.

    prevalence of bee lice   Infestation of bee lice
Study districts N=52 +ve % N=104 +Ve %
Diga 11 2 18.2 22 6 27.3
G/Ayana 13 4 30.8 26 5 19.2
G/Sayo 15 5 33.3 30 6 20
W/Tuka 13 1 7.7 26 8 30.8
overall 52 12 23.1 104 25 24
X2 for prevalence Chi-square = 21.44. P-value =0.15.
and infestation

N=Number of apiary sites examined, +Ve= Number of sites found positive

CONCLUSION AND RECOMMENDATIONS

Beekeeping is an important to rural communities by providing a variety of goods honey, wax, and pollen in particular and enriching the ecosystem by pollination. Based on the survey results, honeybee colony and its products decrease due to honeybee health, and lack of improved bee equipment, lack of bee forage, absconding and improper application of agrochemical. Based on laboratory results the most common parasites and pathogens such as Braulacoeca, Varroa destructor, Nosema apis, Malpighamoeba mellificae, and Ascosphaera apis were confirmed in areas. However honeybee diseases like AFB, EFB, Stone brood diseases and tracheal mites were not confirmed. Nosema apis and Ascosphaera apis were more prevent, and also varroa destructor was more prevalent and the amoeba disease was also more prevalent. To save honeybee colony form agrochemicals, beekeeper and others use chemicals which do not harm honey bees. Regular evaluation of honeybee disease and pest is needed to evaluate the health of honeybees to indicate the economic threshold of honeybee disease and pests.

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Other Articles

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Distinct MicroRNA Signatures for Mastitis Measured in Milk Following Natural Exposure in Dairy Herds

Mastitis, a global endemic disease in dairy cattle, not only adversely impact milk production/quality leading to increased economic loss to farmers, it poses a consumer health issue as the milk may be unfit for human consumption due to pathogen contamination. Use of Somatic Cell Count (SCC) as an indicator of mastitis may be insufficient for effective diagnosis of disease. MicroRNAs (MiRNAs) are increasingly recognised as promising alternative indicators of mastitis. In this study, we identified circulating miRNAs differentially expressed in milk of mastitic cows after ‘natural levels of exposures’ and in response to different causative agents ‘on farm’. Using a miRNA microarray based approach we found at least 26 miRNAs as generic indicators of clinical mastitis; 7 of which may also be early mastitis indicators. We further identified 27 miRNAs unique to S Uberispositive (SU) mastitis, including miR-320a/b which has been linked to modulation of trained immune activity. Three differentially expressed miRNAs were unique to mastitis positive for Coagulase Negative Staphylococcus (CNS), and a further 5 miRNAs were unique to SU and CNS mastitis group comparison. Our study design differs from the existing literature which reports the effects of either exogenous dosing with a singular agent or of dosed exposures in the context of single cell types (which individually contribute in only very minor ways to SCC) in an empirical ex vivo setting. Collectively, the differentially expressed miRNAs we have identified are high confidence biomarkers for detection of mastitis (even when asymptomatic), assessment of clinical status and identification of causative agent.

Sherry Ngo¹*, Stephanie Moloney¹, Xiaoling Li¹, Lorna McNaughton², Partridge A³, and Allan Michael Sheppard¹


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Study on Prevalence of Bovine Trypanosomosis in Dale Wabera District, Kellam Wollega Zone, Western Ethiopia

A cross-sectional study was conducted from November 2009 to April 2010 in Dale Wabera district, western Ethiopia. The objectives of the study were to determine the prevalence of bovine trypanosomosis and to assess the apparent densities of vectors of the trypanosomosis. A parasitological study using convectional Buffy coat technique was employed for the determination of prevalence of trypanosomosis while baited traps were used for the vector survey. A total of 479 tsetse flies were collected and the density of Glossina species was 11.98 fly/trap/ day. Three species of tsetse fly including Glossina morsistans submorsistans, G. pallidipes and G. tachnoides were recorded from the area. The result of parasitological study revealed that the overall prevalence of trypanosomosis was found to be 12.28%, 95% CI.The prevalence for trypanosome species was 1.53%, 3.32% and 7.42% for Trypanosoma brucei, T. vivax and T. congolense, respectively. Highest trypanosome prevalence (16.42%) was seen in animals with poor condition than that of those with medium (10.27%) and good (9.91%) body condition for the concerned parasite, but no significant difference was observed among the body conditions of cattle considered and infection with trypanosomes (P>0.05). Higher infection rate without significant difference was occurred in male (13.02%) than female (10.77%) cattle. Infection rate was higher in adult (13.25%) than young cattle (8.11%), although the difference is not significant. The mean PCV values of parasitologically negative (26.80%) animals were higher than that of positive ones (20.00%). With 12.28% the highest prevalence in the present study revealed that trypanosomosis is causes significant loss of economy due to reduced production, cost of treatment and death of the animals is supposed to be significant. Therefore, trypanosomosis and its vector control and prevention strategies should be implemented in the area.

Taye Itefa Gemtessa¹ and Kumela Lelisa Dera²*


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Taking Gender Difference Seriously in Mouse Models of Depression

Depression as one of the most prevalent and life-threatening forms of mental illness affects more than 1/5 of the world’s population.

Chanyi Lu¹,²,⁵#, Yao-Yao Li¹,²#, Hua-Zhen Lin³,⁴#, and Yun-Feng Zhang¹,²,⁶*


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BAIF Experience in Field Data Collection

The increasing availability and capabilities of mobile phones make them a feasible means of data collection. Personal Digital Assistance (PDA) systems have been used widely for public health monitoring and surveillance activities, collecting survey data, clinical studies but documentation of their use in complicated research studies requiring multiple systems is limited. This paper shares our experiences of designing and implementing a complex multi-component system for a technical livestock community to help other researchers planning to use PDA for collecting technical data related to livestock studies. We designed and implemented different versions of mobile phone data collection systems to collect information related to bovine insemination through Cattle Development Centers (CDC) operated by BAIF.

There was improvement in collecting field data by updating data logger’s versions year by year. Following two to three days of training and piloting, data were collected from 170 field technicians over 5 years period from June 2010 to December 2015. Data logger was the one of easy solution for getting the technical, social and economic information of rural small farmer. Up to year 2015 project had collected the information enrolling of about 0.25 million families, out of that 95,000 families information about poverty index was collected and 0.67 million bovine insemination data, 0.46 insemination follow up records and information about 0.13 million female progeny born through the Project had collected. The PDAs were well accepted by technicians. The use of PDAs eliminated the usual time-consuming and error-prone process of data entry and validation. PDAs are a promising tool for field research in India.

Vinod V Potdar*, Bhave K, Gaundare YS, Khadse JR, and Pande AB


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Performances of Cold-Set Binders, Food Hydrocolloids, and Commercial Meat Binder on the Physical and Chemical Characteristics of Tilapia Fish Balls

The overall objective of this study is to determine the effect of hydrocolloid additives in reformed fish products and to compare the performances by testing chemical and physical properties of the restructured samples. There are nine treatments in this study including control samples. The eight types of meat binders include cornstarch, commercial meat-binder, carrageen an, methylcellulose, Activa® RM, plasma powder FG+, plasma powder FG and sodium alginate. The results showed that Activa® RM and FG+ and FG could provide satisfactory binding properties in fish balls. There was no significant difference among all cooked samples moisture (p<0.05). Raw treatments had slightly higher moisture than cooked treatments. Samples treated with Activa® RM had the highest WHC for cooked samples, while methylcellulose had the lowest WHC and cooking yield. All other binder treatments samples had higher cooking yield than that of the control. Samples treated with sodium alginate had the lowest pH values for both cooked and raw samples. There were no significant differences detected for water activity for both raw and cooked samples. Samples treated with Activa® RM, FG+ and FG treated samples had the best puncture, texture, hardness, springiness. In summary, Activa® RM, FG+ and FG treatments performed well for all parameters, and sodium alginate, methylcellulose, and meat binder treatment did not show advantages when compared with the control.

Huisuo Huang and Andrew D Clarke*


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Syncytiovascular Membranes in the Octodon Degus Placental Barrier: Morphological Evidence

Previous data indicates that placentation in the caviomorph rodent O. degus is similar to that in humans, regarding the migration of the Extra Sub Placental-Trophoblast (EST) to the uterine arteries to be remodeling. The aim of this paper was to determine the ultra structural morphological organization of the degu´s placental barrier, as part of a wider effort to understand their reproductive biology.

Four pregnant female Degus at 86 days of gestation, and their placentas were processed for histological analysis at electron microscopy levels. Our results demonstrate that at the pregnancy term, the placental barrier shows zone with presence of syncytial knots (defined as clusters of syncytiotrophoblast nuclei) in the fine syncytium or syncytiotrophoblast, zone with apoptotic knots evidenced by the accumulation of fragmented nuclei or apoptotic bodies with condensed chromatin, and the presence of zones with Syncytiovascular membranes (alpha zone). These Syncytiovascular membranes facilitate the exchange of metabolites between mother and fetus, and are exclusively observed in thin placental barrier zones where the syncytiotrophoblast nuclei are excluded. The presence of these Syncytiovascular membranes allowed us to conclude that they were formed as a consequence of the deportation of apoptotic bodies to the maternal blood, such as occurs in chinchilla, other caviomorph rodent. On the other hand, in human placental barrier several investigators have found that the syncytial apoptotic cascade is complete when apoptotic nuclei are deported to the maternal blood circulation and subsequently removed in the mother´s lung. Therefore, we concluded that the degu and human placentas share a number of structural and functional characteristics and this fact allows us to consider the degu as a potential animal model for studies related to human placental pathologies.

Bosco Cleofina* and Díaz Eugenia


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The Impact of Extension Programs to Increase the Productivity of the Small-Holder Dairyfarming Industry of Pakistan

Dairy farming operations with small animal numbers producing low volumes of around three litres per animal per day predominate in Pakistan’s dairy industry. Although much of this is consumed domestically, many farmers sell small volumes into traditional milk marketing chains which feed the product into urban retail outlets. Analysis of these marketing chains show that these farmers make a loss on every litre sold, while at the other end milk available to the consumer is of poor quality and often diluted as much as 1:2 with water. Small incremental profit margins are achieved by dilution and the use of distorted volume measures as the product is passed from small dealers to larger distributors and then to retail outlets. It is important that farmers are able to improve the efficiency of production by boosting the productivity of animals. This can be achieved through the adoption of better nutrition and animal husbandry practices. At the same time small scale local marketing chains require refinement to ensure profits generated from milk production stay with local communities. This paper reports on the development of effective extension strategies involving the whole family including the farmer, his wife and children. They have led to significant improvements in the profitability of small-holder dairy farming and a growing awareness of farmers of the commercial potential for their household cows and buffalo. The sustainability of these small-holder production systems in the face of changing consumer demands for higher quality products and world dairy product trade remains to be seen.

Wynn PC¹,²*, McGill DM², Aslam N¹, Tufail S¹, Latif S¹, Ishaq M³, Batool Z³, Bush RD⁴, Warriach HM²,³, and Godfrey SS¹


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Effect of Hops (Humulus lupulus) Supplementation on Growth Performance of Broiler Chickens

The hop plant contains flavonoids, bitter acids and essential oils that confer antibacterial properties. An experiment was conducted to evaluate the possibility of supplementing broiler chicken diets with hop pellets. Accordingly, growth performance response of broiler chickens given hops-supplemented diets was evaluated in a 49-day floor-pen trial. Day-old (320) male broiler chicks were commercially obtained and randomly assigned to 4 treatments. Treatment 1 (CX) consisted of chicks fed unmedicated corn-Soybean Meal (SBM) diet without hops pellets added. Treatment 2 (MX) consisted of chicks fed corn-SBM basal into which Bacitracin Methylene Disalicylate (BMD) was added at 0.055g/kg. Treatment 3 (HL) consisted of chicks fed corn-SBM basal into which hops pellets were added at 1.0 % level. Treatment 4 (HH) consisted of chicks fed corn-SBM basal into which hops pellets were added at 2.0 % level. On d 21, 42, and 49, body weight, body weight gain, and Feed Conversion Ratio (FCR) were evaluated. Transient benefits of hops supplementation in form of higher feed intake and body weight gain (P < 0.05) compared to other treatments were observed but were not sustained. The FCR of birds in the hops-supplemented treatments (HL and HH) were similar (P > 0.05) to those of birds in the BMD antibioticsupplemented treatment (MX) throughout the study. It was concluded that supplementation of hops pellets into broiler diets at 1% or 2% level of the diet had no detrimental effect on broiler growth performance. Therefore, future studies should be conducted to evaluate the efficacy of dietary hops in mitigating the colonization of poultry intestine by economically important zoonotic and/or disease pathogens.

Fasina YO* and Akinola OO


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Survey on Farmers Husbandry Practice for Dairy Cows in Alefa and Quara Districts of North Gondar Zone, Amhara National Regional State, Ethiopia

The aim of the study was to describe the dairy cow’s husbandry practice of farmers in Alefa and Quara districts of North Gondar Zone Amhara National Regional State Ethiopia. Three Kebeles from each district, a total of six Kebeles were selected through purposive sampling procedure. Finally, 376 households (208 households from Quara and 168 households from Alefa) who had at least one lactating cow were selected through systematic random sampling procedure. Data were collected by using structured questionnaire and the collected data were analyzed by using statistical package for social science (SPSS Version 20). The main source of feed for Alefa district was, crop residue and private grazing land (36.7%), crop residue, communal and private grazing land (41.4%), while for Quara district, communal grazing land (49.8%) and private, communal and crop residue (39.6%)were the main feed sources. In respective order, about 70.8 and 81.3% of respondents for Alefa and Quara districts were confirmed that river water was the main source for dairy cows. Housing system in Alefa district was simple shied adjacent to farmer’s house (97.6%), but in Quara district, it was barn system (95.2%). Trypanosomiasis (58.7%), Lumpy skin disease (18.8%) and Babesiosis (8.7%) was the most challenging livestock disease in Quara district, while in Alefa district Blackleg (30.5%), Lumpy skin disease (21%) and Trypanosomiasis (20.4%) was challenging disease. The major livestock production constraint in Quara district was feed and disease with the same indices value of 0.32 and Water 0.20 were observed. Similarly, feed followed by disease was the major constraint in Alefa district with index value of 0.5 and 0.2, respectively.

Bernabas Ayeneshet¹*, Zewdu Wondifraw², and Michael Abera²


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Production Objectives, Breeding Practices and Rate of Inbreeding in Dairy Cows at Alefa and Quara Districts of North Gondar Zone, Amhara National Regional State, Ethiopia

The aim of this study was to identify breeding practice, production objectives, selection and culling criterias of farmers for dairy cows in Alefa and Quara districts of North Gondar Zone Amhara National Regional State Ethiopia. 376 households (208 households from Quara and 168 households from Alefa) were selected by using systematic sampling procedure. Data were collected by using structured questionnaire and the collected data were analyzed by using statistical package for social science (SPSS Version 20). The main production objectives of farmers in Quara district were for milk production (0.43), draught purpose (0.32), and selling purpose (0.2). While in Alefa district it was 0.34, 0.36 and 0.27 for milk production, draught and selling purpose respectively. The main selection criteria for dam and sire in both districts were reproductive performance, body conformation and coat color. Most farmers in both districts were decided to cull the herd when they showed long AFS with index value of (0.38) and (0.3) for Quara and Alefa districts, respectively. About 208 (100%) of respondents in Quara were using natural breeding system. While bout 148 (88.1%), 11 (6.5%) and 9 (5.4%) of respondents in Alefa district were used natural, both natural and AI technology and AI only, respectively. About 44.4, 25, 23.2, and 7.7% of respondents in Alefa district were used breeding bull from a neighbor, communal grazing land, own and rent bull, respectively. While the majority (47.1%) of respondents in Quara district were used own bull. Under uncontrolled random mating effective population size and rate of inbreeding for Quara district was 9.0 and 0.05, respectively. While for Alefa district it was 3.2 and 0.15, respectively.

Bernabas Ayeneshet¹*, Zewdu Wondifraw², and Michael Abera²