Calf Morbidity and Mortality: Critical Challenges for Smallholder Dairy Farmers in Northern Ethiopia
Abstract
Calf morbidity and mortality pose significant economic challenges for smallholder dairy farms in Ethiopia, resulting in direct losses from calf deaths, replacement costs, treatment expenses, and reduced lifetime productivity. This study aimed to comprehensively investigate the magnitude and epidemiological characteristics of calf morbidity and mortality in Northern Ethiopia. A cross-sectional study with mixed approaches was carried out from December 2019 to September 2020. A total of 183 questionnaire survey, four focus group discussion (FGD), and 17 key informant interviews (KII) were included in the study. Furthermore, participatory epidemiological appraisals were incorporated to triangulate and strengthen survey evidences. Analysis of survey results revealed that 69.4% of the farmers have experienced calf morbidity, while 63.9% of them have encountered calf mortality. Similarly, results of proportional piling indicated that calf morbidity and mortality were estimated to occur in 75.5% and 55.9% of the farms, respectively. Moreover, all KIIs had encountered calf morbidity, while 88.2% of them had faced calf mortality. Ninety percent of KIIs, 66.2% of the participants of community-based epidemiology, and 27.87% of questionnaire survey respondents suggested that calf morbidity and mortality occur in less than one-week-aged calves. Regarding the potential risk factors, source of water, frequency of barn disinfection, breed types, health status of dams, using separate calf housing, amount of colostrum provided to calves, and cleaning frequency of barns had statistically significant association with the occurrence of calf morbidity and mortality (p < 0.05). Additionally, results of participatory appraisal, FGDs and KIIs showed that calf diarrhea, nutritional disorder, pneumonia, and navel ill were the leading causes of calf morbidity and mortality. Furthermore, observation assessment showed that most dairy farms were surrounded by dense human settlements, livestock markets, and municipal slaughtering houses. Hence, the farms had critical space limitation (for animals to exercise) as well as poor drainage systems and hygienic practices. Our assessment also showed that lack of veterinary services, shortage of water supply, and poor artificial insemination services were the major challenges of dairying in the area. In conclusion, the present study revealed that calf morbidity and mortality were critical challenges for dairying in Northern Ethiopia. Furthermore, the study highlighted the epidemiological characteristics and potential risk factors associated with calf morbidity and mortality, awareness gaps in calf management, as well as key bottlenecks in dairy farming. These findings underscore the need for a comprehensive study, continuous capacity building initiatives, improved infrastructure, and services to mitigate calf losses.
1. Background
Livestock is one of the most important assets and resources for many poor farmers around the world [1], including Ethiopia [2]. Livestock contribute more than just food: They also help with tasks like plowing fields, provide income in tough times, and offer valuable products like leather, fuel, and fertilizer, and in places where financial institutions are lacking, livestock can even be used as a form of savings [3]. For millions of poor farmers, livestock is more than just a resource. It is a part of their social and cultural lives. Owning animals helps them farm sustainably and ensures their financial security [4, 5]. Sub-Saharan African countries like Ethiopia largely depend on livestock production. Ethiopia is estimated to have about 59.2 million cattle, including 10.5 million dairy cows. These cows produce around 3.6 billion liters of milk annually [6]. Dairying is growing in importance, and calves are crucial for the future of dairy farms [3, 7, 8]. The government is focusing on developing the dairy industry to increase milk production from small farms [9, 10]. Many developing countries, like Ethiopia, rely on small farms for dairy production. This provides essential nutrition and income for millions of families [11]. The demand for milk and dairy products in urban and peri-urban areas has surged dramatically, with national per capita consumption reaching a substantial 27 L annually [12]. However, to meet the rapidly growing demand for milk and dairy products, a significant increase in the number of high-yielding, well-adapted cows is imperative [13]. Given the substantial potential for smallholder income and employment growth through high-value dairy products [14], developing Ethiopia’s dairy sector can significantly enhance food and nutrition security, thereby contributing to poverty reduction in the country. The success of any breeding program and the future viability of smallholder dairy farms pivots on the survival rate of newborn calves.
However, calf morbidity and mortality pose a significant threat to dairy business operators, as most dairy farms grapple with acute calf health challenges [15, 16]. The health of replacement calves is a critical determinant of overall dairy operation profitability [17], as dairy heifer calves are the building blocks of future milking herds. Furthermore, high calf mortality and illness lead to significant economic losses for dairy producers due to death, treatment costs, reduced productivity, and hindered herd growth and genetic improvement [18]. Numerous studies around the world have investigated calf illness and death rates, identifying their causes and contributing factors with smallholder dairy farmers; in particular, they face alarmingly high calf mortality rates, which can go up to 50% [1]. Diarrhea in newborn calves and pneumonia in older calves are the primary causes of calf illness and death [19]. Some African countries in tropical regions have reported varying calf mortality rates. For example, in Tanzania, calf mortality rates can range from 9% to 45% [20]; in Mali, the range is between 10% and 25% [21]; and in Sudan, dairy farms in Khartoum reported a 4.9% calf mortality rate [22]. On average, 23% of Holstein Friesian female calves born at Holleta Farm in Ethiopia died before reaching their first calving age. On average, 23% of Holstein Friesian female calves born at Holleta Farm in Ethiopia died before reaching their first calving age [23]. In general, calf mortality rate in Ethiopia ranges from 7% to 30.7% [24, 25]. It is estimated that a 20% calf mortality rate can reduce net profits by 38% [26].
Calf diseases that lead to illness and death are caused by a complex interplay of factors, including management practices, environmental conditions, the calf’s mother, and the calf itself [27]. It is obvious that the housing conditions of livestock can greatly affect their health and productivity [15]. The combination of a compromised immune system and a lack of prior exposure to infection renders newborn calves highly susceptible to infectious diseases [27]. Passive immunity can be achieved through the ingestion of adequate volumes of colostrum by calves. Other factors impacting calf health and survival of calves include herd production levels, antibiotic use, weaning age, and calf separation or mixing [28, 29].
In Ethiopia, the morbidity and mortality recorded by different authors from different parts of the country were 66.7% and 20% [30], 62.0% and 22.0% [15], 29.3% and 9.3% [24], 58.4% and 30.7% [25], and 30.9% and 8.64% [31], respectively. The primary causes of calf morbidity and mortality include calf diarrhea, calf pneumonia, navel ill (omphalitis), septicemia, vector borne diseases and helminthes, and nutritional problems [32]. Similarly, Fentie et al. [33], Tora et al. [34], and Ahmedin and Assen [35] have reported that diarrhea and pneumonia (respiratory disorder) were the most common causes of calf morbidity and mortality in that order. Like in other areas of Ethiopia, calf morbidity and mortality are serious challenges for small holder dairy husbandry in Tigray regional state. The frequent occurrence of diseases, significant calf losses, and the ineffectiveness of routine treatments have driven many farmers to financial ruin [36]. These, coupled with the absence of record-keeping, are the major challenges in dairy husbandry and milk production in the area (personal observation). Most importantly, prior assessments have not been conducted, and calf morbidity and mortality in this region remain poorly documented. Therefore, this study aimed to provide preliminary evidence on magnitude and epidemiological characteristics of calf morbidity and mortality in Northwestern and Central zones of Tigray that can be used to develop and apply cost-effective prevention and control measures.
2. Methodology
2.1. Description of Study Area
The study was conducted in Central and Northwestern zones of Tigray, Ethiopia (Figure 1). Central zone of Tigray is located about 963 kms away to the North from Addis Ababa. The geographical coordinates are 14° 7′ 8″ N, 38° 43′ 46″ E with altitude range of 2000 to 3000 m above sea level (masl). The average daily temperature is 18.3°C with average annual rainfall of 861 mm. There were 446 dairy farms with 2189 cows in Central zone. Similarly, Northwestern Tigray is a zonal administration located at about 1126 kms away to the North of Addis Ababa and its altitude ranges from 645 to 2852 masl and its coordinates are 14°01′13.4″N, 38°09′50.0″E. The annual temperature of the area varies from 18°C to 34.6°C. The annual rainfall of Northwestern zone of Tigray ranges between 450 and 800 mm. In Northwestern zone, there were 374 dairy farms with 1687 dairy cows. Overall, there were 820 dairy farms and 3876 dairy cows in both zonal administrations. Both Central and Northwestern zones are assumed to have relatively good potential for crop and livestock production [6].

2.2. Study Design
A cross-sectional study was carried out to assess calf morbidity and mortality from December 2019 to September 2020. Both quantitative and qualitative data collection tools were used as described by Creswell [37]. These will include semistructured questionnaire surveys, KII, FGDs, participatory epidemiological approach, and field observation. Smallholder dairy farms with five or more years of farming experience in urban and peri-urban settings were included in our study.
2.3. Sampling and Sample Size Determination
A total of seven woredas were included in this study. Two woredas from Central zone (Aksum and Adwa towns) and five woredas from Northwestern zone (Selekleka, Shire, Sheraro, Adi-hageray, and Adi-daero) were included in this study purposively based on abundance of dairy farms and their access to road transport. From each woreda, sample households were selected using simple random sampling method. According to the information obtained from the Northwest and Central agriculture office, there were nearly 900 dairy farms operated by individuals and cooperatives, and we included 20% of the dairy farms in our assessment according to Kothari [38]. Therefore, 183 dairy farms were considered in the household interviews to assess the knowledge, attitude, and practices (KAPs) of smallholder farms. In addition, we included data of four FGD comprising 8–10 persons of different sex. Additionally, 17 KII comprising veterinarians, animal husbandry experts, and artificial insemination technicians were included in our study, and the methods were adopted from Hennink et al. [39] and Muellmann et al. [40]. Furthermore, four participatory discussion groups (community-based epidemiological studies) were incorporated to include further evidences.
2.4. Data Collection Methods
Prior to the actual data collection, a preliminary survey was conducted to identify the dairy cattle potential, evaluate the extent and distribution of calf morbidity and mortality, and make logistical arrangements. Then, quantitative and qualitative data were collected using questionnaire survey, FGD, KIIs, participatory appraisal, and observational study methods.
2.4.1. Quantitative Data
A semistructured questionnaire survey was prepared and administered to farmers or farm attendants to evaluate the history of experiencing calf morbidity and mortality and assess the potential risk factors and overall management aspects based on their KAPs. With this method, the KAPs of farm owners, animal-related factors (age, breed, and sex), and environmental factors (management, feeding, type of feed, and hygiene practices) were assessed. The questionnaire was pretested on field to amend potential errors and validate it.
2.4.2. Qualitative Data
Key informant interviews (KIIs): KIIs comprising veterinarians, artificial inseminators, and animal production experts were included in our study to pinpoint the potential risk factors and causes of calf morbidity and mortality, extent of the problem, any diagnostic trials conducted, and treatment pathway as well as the suspected causes of the problem. Nonstructured questionnaires were prepared and provided to key informants. The key informants recorded their responses on the free spaces provided with script.
Focus group discussion (FGDs): FGDs were conducted to collect consensus-based views and suggestions of participants regarding the extent of the problem, probable causes, and risk factors of calf morbidity and mortality. Four FGDs comprising 8–10 persons of different sex and age were conducted. A set of open-ended questions were prepared, and FGD participants were asked by the moderator to speak openly their views and comments. The responses of each FGD participant were recorded by the taker word-for-word with legible handwritings.
Participatory epidemiology: Participatory epidemiological appraisal methods such as pairwise ranking, matrix scoring, proportional piling, and seasonal calendar were employed to prioritize the probable causes and characterize the epidemiological characteristics of calf morbidity and mortality in the area. The participatory epidemiological appraisals were set to hold 8–10 adult participants of heterogeneous sex and conducted as described by Catley [41].
Observational study: A checklist of questions was used to assess the hygienic condition, space allocation per animal, nutritional status of herds, and relative location of the farms as described by Gebru and Gebretinsae [42]. Using personal observation, pertinent data were recorded by handwritten notes and supported by photographs for visual analysis.
2.5. Data Management and Analysis
All data collected were entered and coded in Microsoft Excel spreadsheets and analyzed using SPSS-20 statistical software. Descriptive statistical analyses were employed to summarize the results. Chi-square was used to test the statistical significance of independent variables. Confidence level was considered at 95% and p ≤ 0.05 as level of significance. The qualitative data were analyzed using thematic analysis approach as described by Graneheim and Lundman [43].
3. Results
The result section comprises household surveys of KAP assessment on calf morbidity and mortality, FGD, and KII complemented by participatory epidemiological evidences. The result of each component is presented as follows:
3.1. Analysis of Household Survey
3.1.1. Potential Risk Factors of Calf Morbidity
About 69.4% of the farmers have experienced calf morbidity in the preceding 5 years. Further, study zones and districts as well as health problems of dams were statistically significant. Although it was statistically insignificant, most cases of calf morbidity (27.9%) occur in the first week age of claves. Similarly, 41% of the respondents stated that calf morbidity does not depend on season (Table 1). Calf diarrhea, nutritional disorder, navel ill, and pneumonia were the most blamed causes of calf morbidity.
Variable | Categories | Morbidity | Chi-square value | Df | Pearson (p value) | |||
---|---|---|---|---|---|---|---|---|
Yes | No | |||||||
Frequency | % | Frequency | % | |||||
Zone | Northwestern | 78 | 79.6 | 20 | 20.4 | 7.50 | 1 | 0.006 |
Central | 49 | 59.8 | 33 | 40.2 | ||||
District | Adwa | 7 | 41.2 | 10 | 58.8 | 20.15 | 6 | 0.003 |
Aksum | 44 | 65.7 | 23 | 34.3 | ||||
Shire | 64 | 83.1 | 13 | 16.9 | ||||
Selekleka | 5 | 45.5 | 6 | 55.5 | ||||
Adi-hageray | 3 | 100 | 0 | 0 | ||||
Sheraro | 3 | 75 | 1 | 25 | ||||
Adi-daero | 4 | 100 | 0 | 0 | ||||
Sex of the owner | Male | 94 | 71.8 | 37 | 28.2 | 0.44 | 1 | 0.5 |
Female | 33 | 67.3 | 16 | 32.6 | ||||
Age of the owner (in years) | Less than 30 | 30 | 75 | 10 | 25 | 1.83 | 2 | 0.4 |
30–65 | 85 | 68 | 40 | 32 | ||||
Greater than 65 | 6 | 66.7 | 3 | 33.3 | ||||
Education status of the owners | Illiterates | 17 | 63 | 10 | 38 | 1.51 | 4 | 0.8 |
Grade 1–4 | 50 | 72.5 | 19 | 27.5 | ||||
Grade 5–8 | 32 | 59.3 | 12 | 40.7 | ||||
Grade 9–12 | 9 | 64.3 | 5 | 35.7 | ||||
Diploma+ | 17 | 63 | 10 | 38 | ||||
Age of calf | Less than 1 week | 34 | 100 | 0 | 0 | 2.78 | 5 | 0.15 |
1–2 weeks | 22 | 95.7 | 1 | 25 | ||||
2–4 weeks | 32 | 97 | 1 | 3 | ||||
4–12 weeks | 23 | 100 | 0 | 0 | ||||
12–24 weeks | 8 | 100 | 0 | 0 | ||||
24–52 weeks | 3 | 75 | 1 | 25 | ||||
Seasonal occurrence of calf morbidity | Winter/dry season | 39 | 100 | 0 | 0 | 4.25 | 2 | 0.13 |
No depend on season | 43 | 93.5 | 3 | 6.5 | ||||
Summer/rain season | 23 | 88.5 | 3 | 11.5 | ||||
Health problem of dam | Yes | 27 | 100 | 0 | 0 | 15.84 | 2 | 0.001 |
No | 92 | 86.8 | 14 | 13.2 | ||||
Do not know | 5 | 50 | 5 | 50 | ||||
Breed | Local | 8 | 57.1 | 6 | 42.9 | 2.40 | 2 | 0.3 |
Crossed | 120 | 72.7 | 45 | 27.3 | ||||
Pure exotic | 2 | 50 | 2 | 50 | ||||
Years of farming experience | < 5 years | 65 | 71.4 | 25 | 28.6 | 2.01 | 4 | 0.7 |
5–10 | 46 | 74.2 | 16 | 25.8 | ||||
10–15 | 11 | 61.1 | 7 | 38.9 | ||||
15–20 | 4 | 57.1 | 3 | 42.9 | ||||
> 20 | 4 | 80 | 1 | 20 | ||||
Nature of the farm | Urban | 123 | 70.3 | 52 | 29.7 | 0.8 | 1 | 0.4 |
Rural | 6 | 85.7 | 1 | 14.3 |
3.1.2. Potential Risk Factors of Calf Mortality
About 63.9% of the farmers have experienced calf mortality in the preceding 5 years. With regard to analysis of potential risk factor, study zones and districts, health problems of dams, sex of dairy owners, and type of breed were statistically significant. Although it lacks statistical significance, most incidents of calf mortality (52.7%) do not depend on season (Table 2). Calf diarrhea, nutritional disorder, navel ill, and pneumonia were the leading causes of calf mortality.
Variables | Categories | Yes | No | Chi-square value | Df | p value | ||
---|---|---|---|---|---|---|---|---|
No | % | No | % | |||||
Zones | Northwestern | 72 | 73.5 | 26 | 26.5 | 7.85 | 1 | 0.006 |
Central | 45 | 52.9 | 40 | 47.1 | ||||
Districts | Adi-daero | 4 | 100 | 0 | 0 | 18.52 | 6 | 0.003 |
Shire | 60 | 77.9 | 17 | 22.1 | ||||
Selekleka | 5 | 45.5 | 6 | 55.5 | ||||
Sheraro | 2 | 50 | 2 | 50 | ||||
Adi-hageray | 2 | 66.7 | 1 | 33.3 | ||||
Aksum | 38 | 56.7 | 29 | 53.3 | ||||
Adwa | 6 | 35.3 | 11 | 64.7 | ||||
Sex of the owner of the farm | Male | 91 | 67.9 | 43 | 32.1 | 3.44 | 1 | 0.08 |
Female | 26 | 53.1 | 23 | 47.9 | ||||
Age of the owners of the farm | Less than 30 | 32 | 68.1 | 15 | 31.9 | 0.20 | 2 | 0.8 |
30–65 | 79 | 62.7 | 47 | 37.3 | ||||
Greater than 65 | 6 | 60 | 4 | 40 | ||||
Education status of head | Illiterates | 19 | 73.1 | 7 | 26.9 | 2.53 | 4 | 0.7 |
Grade 1–4 | 15 | 55.6 | 12 | 44.4 | ||||
Grade 5–8 | 44 | 61.1 | 28 | 38.9 | ||||
Grade 9–12 | 30 | 68.2 | 14 | 31.8 | ||||
Diploma+ | 9 | 64.3 | 5 | 35.7 | ||||
Age of the calves | Less than 1 week | 18 | 100 | 0 | 0 | 3.52 | 5 | 0.5 |
1-2 weeks | 30 | 93.8 | 2 | 6.2 | ||||
2–4 weeks | 35 | 97.2 | 1 | 2.8 | ||||
4–12 weeks | 25 | 100 | 0 | 0 | ||||
12–24 weeks | 5 | 100 | 0 | 0 | ||||
24–52 weeks | 1 | 100 | 0 | 0 | ||||
Seasonal occurrence of calf morbidity | No dependence on season | 58 | 96.7 | 2 | 3.3 | 1.41 | 2 | 0.5 |
Winter/dry season | 29 | 93.5 | 2 | |||||
Summer/rain season | 23 | 88.5 | 3 | 11.5 | ||||
Dams having any health problems | Yes | 23 | 85.2 | 4 | 14.8 | 8.62 | 2 | 0.02 |
No | 83 | 78.3 | 23 | 21.7 | ||||
Do not know | 4 | 40 | 6 | 60 | ||||
Types of breeds | Local | 5 | 35.7 | 9 | 64.3 | 7.79 | 2 | 0.02 |
Crossed | 111 | 67.3 | 54 | 32.7 | ||||
Pure exotic | 1 | 25 | 3 | 75 | ||||
Years of farming experience | < 5 years | 57 | 62.6 | 34 | 37.4 | 1.42 | 4 | 0.9 |
5–10 | 42 | 67.7 | 20 | 22.3 | ||||
10–15 | 10 | 55.6 | 8 | 44.4 | ||||
15–20 | 5 | 71.4 | 2 | 38.6 | ||||
> 20 | 3 | 60 | 2 | 40 | ||||
Nature of the farm | Urban | 112 | 64.0 | 63 | 36 | 0.11 | 1 | 0.7 |
Rural | 4 | 57.1 | 3 | 42.9 |
3.1.3. Management Practices and Calf Morbidity
In terms of farming practice, source of water, frequency of disinfection of barns, using separated housing of calves from the rest of the herd, as well as the amount of colostrum provided to calves had statistically significant association with the occurrence of calf morbidity (Table 3).
Variable | Categories | Yes | No | Chi-square value | Df | p value | ||
---|---|---|---|---|---|---|---|---|
Frequency | % | Frequency | % | |||||
What types of feed container do you use? | Plastic | 31 | 70.5 | 13 | 29.5 | 0.13 | 2 | 0.9 |
Sack | 70 | 71.4 | 28 | 70 | ||||
Stainless steel | 14 | 70 | 6 | 14 | ||||
What is the source of water? | Well | 57 | 79.2 | 15 | 20.8 | 8.04 | 3 | 0.04 |
River | 12 | 70.6 | 5 | 29.4 | ||||
Mixed sources | 18 | 81.8 | 4 | 10.2 | ||||
Tape water | 40 | 58 | 29 | 42 | ||||
At what time interval of time do you clean your barn? | Once | 16 | 61.5 | 10 | 16 | 3.24 | 4 | 0.5 |
Twice | 28 | 71.8 | 11 | 28 | ||||
Three times | 29 | 74.4 | 10 | 29 | ||||
Four times | 24 | 80 | 6 | 24 | ||||
Others | 29 | 65.9 | 15 | 29 | ||||
Do you disinfect your barn? | No | 14 | 82.4 | 3 | 17.6 | 2.17 | 1 | 0.04 |
Yes | 112 | 69.1 | 50 | 30.9 | ||||
Do you separate your calves from adult cows? | No | 90 | 75 | 30 | 25 | 3.81 | 1 | 0.01 |
Yes | 36 | 61 | 23 | 39 | ||||
Did sick calf/calves receive modern treatment? | Yes | 88 | 84.6 | 16 | 15.4 | 0.67 | 1 | 0.6 |
No | 19 | 82.6 | 4 | 17.4 | ||||
If you use modern treatment, do your animals recover after treatment? | No | 56 | 96.6 | 2 | 3.4 | 2.02 | 2 | 0.7 |
Partial | 9 | 100 | 0 | 0 | ||||
Yes | 19 | 57.6 | 14 | 42.4 | ||||
Do you practice navel treatment and disinfection? | No | 90 | 75 | 30 | 25 | 0.00 | 1 | 1 |
Yes | 13 | 54.2 | 11 | 45.8 | ||||
Do your animals get regular treatment such as antibiotic therapy? | No | 81 | 72.3 | 31 | 27.7 | 0.70 | 1 | 0.4 |
Yes | 45 | 67.2 | 22 | 32.8 | ||||
Do you vaccinate you cows regularly? | Yes | 98 | 71 | 40 | 29 | 0.17 | 1 | 0.7 |
No | 28 | 68.3 | 13 | 31.7 | ||||
Do you have foot bath (foot disinfection pit) at farm gate? | No | 121 | 69.9 | 52 | 30.1 | 0.47 | 1 | 0.6 |
Yes | 5 | 83.3 | 1 | 16.7 | ||||
Have you got any form of training on farm management? | Yes | 111 | 71.6 | 44 | 28.4 | 0.16 | 1 | 0.8 |
No | 19 | 67.9 | 9 | 32.1 | ||||
Do you feed first colostrum to your calf? | Yes | 130 | 71 | 53 | 29 | — | 1 | — |
No | 0 | 0 | 0 | 0 | ||||
At what time do you feed first colostrum? | 6 and less than 6 h | 130 | 71 | 53 | 29 | — | 1 | — |
Greater than 6 h | 0 | 0 | 0 | 0 | ||||
How many liters of colostrum do you feed your calves? | Less than 3 L | 88 | 75.2 | 29 | 24.8 | 3.75 | 1 | 0.01 |
Greater or equal to 3 L | 42 | 63.6 | 24 | 36.4 |
3.1.4. Management Practices and Calf Mortality
Source of water, frequency daily cleaning of barns, and using separated housing of calves from adult cows had statistically significant association with the occurrence of calf mortality in the study area (Table 4).
Variable | Categories | Yes | No | Chi-square value | Df | p value | ||
---|---|---|---|---|---|---|---|---|
No | % | No | % | |||||
What types of feed container do you use? | Plastic | 31 | 60.8 | 20 | 39.2 | 0.67 | 2 | 0.9 |
Sack | 73 | 68.2 | 34 | 31.8 | ||||
Stainless steel | 13 | 52 | 12 | 48 | ||||
What is the source of water? | Well | 48 | 65.8 | 25 | 34.2 | 5.95 | 3 | 0.01 |
River | 45 | 58.4 | 32 | 41.6 | ||||
Mixed sources | 18 | 81.8 | 4 | 18.2 | ||||
Tape water | 6 | 54.5 | 5 | 45.5 | ||||
At what time interval of time do you clean your barn? | Once | 15 | 53.6 | 13 | 46.4 | 9.72 | 4 | 0.04 |
Twice | 28 | 71.8 | 11 | 28.2 | ||||
Three times | 25 | 62.5 | 15 | 37.5 | ||||
Four times | 25 | 83.3 | 5 | 16.7 | ||||
Others | 24 | 52.2 | 22 | 47.8 | ||||
Do you disinfect your barn? | No | 12 | 70.6 | 5 | 29.4 | 0.24 | 0.7 | |
Yes | 105 | 63.3 | 61 | 36.7 | ||||
Do you separate your calves from adult cows? | No | 86 | 69.9 | 37 | 30.1 | 5.70 | 1 | 0.017 |
Yes | 31 | 51.7 | 29 | 48.3 | ||||
Did sick calf/calves receive modern treatment? | Yes | 94 | 68.6 | 43 | 31.4 | 0.60 | 1 | 0.8 |
No | 24 | 51 | 23 | 49 | ||||
Do you practice navel treatment and disinfection? | No | 103 | 64.8 | 56 | 35.2 | 0.27 | 1 | 0.6 |
Yes | 14 | 58.3 | 10 | 41.7 | ||||
Do your animals get regular treatment such as antibiotic therapy? | No | 78 | 67.2 | 38 | 32.8 | 1.39 | 1 | 0.2 |
Yes | 39 | 58.2 | 28 | 41.8 | ||||
Do you vaccinate your cows regularly? | No | 29 | 69.1 | 13 | 30.9 | 0.61 | 1 | 0.5 |
Yes | 88 | 62.4 | 53 | 37.6 | ||||
Do you have foot bath at farm gate? | Yes | 7 | 100 | 0 | 0 | 3.63 | 1 | 0.09 |
No | 110 | 62.5 | 66 | 37.5 | ||||
Have you got any form of training on dairying? | Yes | 99 | 63.9 | 56 | 36.1 | 0.03 | 1 | |
No | 18 | 64.3 | 10 | 35.7 | ||||
Do you feed first colostrum to your calves? | Yes | 117 | 63.9 | 66 | 30.1 | — | 1 | — |
No | 0 | 0 | 0 | 0 | ||||
At what time do you feed first colostrum? | Less than 6 h | 117 | 63.9 | 66 | 30.1 | — | 1 | — |
Greater than 6 h | 0 | 0 | 0 | 0 | ||||
How many liters of colostrum do you feed your calves? | Less than 3 L | 79 | 67.5 | 38 | 32.5 | 1.39 | 1 | 0.2 |
Greater or equal to 3 L | 38 | 57.6 | 28 | 42.4 |
3.2. FGD
To complement the household surveys with further supporting evidences, we incorporated four FGD assessments. Most FGD participants stated that they experienced calf morbidity and mortality. Although some participants argued calf morbidity and mortality mainly occur during rainy seasons, the FGD participants concluded that they appear throughout the year regardless of the seasons. FGD participants also suggested that most cases of calf morbidity and mortality occur mainly in one-week-aged calves. FGD participants stated that they do not have any clues on the risk factors and probable causes of calf morbidity and mortality, but considerable farmers believe that poor hygiene could be a potential risk factor. Watery diarrhea, coughing, poor appetite, and swelling around the umbilicus were reported to be the most commonly observed clinical signs during the FGD approach.
3.3. KIIs
We also included 17 key informants in our study. The professions of the key informants were veterinarians (64.7%), AI technicians (23.5%), and others (11.8%) including animal production experts. All the key informants have experienced calf morbidity during their service delivery and supervision activities. Similarly, the majority (88.2%) of the key informants have faced calf mortality in their working areas. Almost half of the key informants (47.1%) specified that the occurrence of calf morbidity and mortality does not depend on the season. On the other hand, 29.4% and 23.5% of the key informants explained that the occurrence of calf morbidity and mortality occurs during winter/dry season and summer/wet season, respectively. All of the key informants supposed that greater than 90% of the calves faced morbidity and mortality within less than 1 week. All key informants explained that the most risk factors of calf morbidity and mortality were poor hygienic and sanitation practices, poor drainage systems, and inappropriate location of the farms. According to the key informants, the main causes of calf morbidity and mortality were calf diarrhea, pneumonia, and nutritional deficiency.
3.4. Participatory Epidemiology
The findings of participatory epidemiology were summarized as follows:
3.4.1. Simple Ranking
Using simple ranking approach, calf diarrhea, nutritional disorder, pneumonia, calf blindness, epilepsy, and naval ill were the top most prevalent diseases and causes of mortality in dairy farms in Northwestern areas while lack veterinary services and limitations of drug supply; in appropriate site selection; lack of drainage; insufficient space of farms (to accommodate large herd size with no space for excising); and lack of water supply were the major challenges of dairy farms in the study area. However, diarrhea, manges (ectoparasites), pneumonia, naval disease, and blindness were the most common health problems of calves in Central zone, mainly Axum area; shortage of feed, poor animal health service, limitation of farming spaces, poor AI service, lack of market linkage, and shortage of water supply were prioritized as top challenges in dairy farms.
3.4.2. Pairwise Ranking
Pairwise assessment result indicated that diarrhea, nutritional disorder, pneumonia, calf blindness, epilepsy, and naval ill were the top ranked six causes of calf morbidity and mortality in Northwestern Tigray (Figure 2), while diarrhea, naval disease, pneumonia, ectoparasites, and blindness syndrome were common health problems in Central zone.

3.4.3. Proportional Piling
Using a proportional piling approach, we provided 100 beans (equivalent to 100 calves) to the participants to assign the morbidity and mortality rates among newborn calves. Accordingly, the overall prevalence of calf morbidity and mortality were estimated to be 75.5% and 55.9%, respectively. With regard to occurrence of the diseases among different zones, the average morbidity rates were 82% in Northwestern zone (Figure 3) and 79% in Central zone (Figure 4), while the mortality rates were estimated to be 69.8% in Northwestern zone and 42% in Central zone of region, respectively. Moreover, proportional piling method was employed to estimate the average morbidity rates calves by age and recorded as follows: 66.2 in one-week-old calves; 14.8% in 1- to 2-week-old; 7.6% in 2 to 4-week-old; 5.1% in 4 to 12–week-old; 3.8% in 12 to 24-week-old; and 2.7% in and 24 to 52-week-old calves. Average proportional piling results of mortality rates by age were 86.8%, 70.9%, 51.5%, 46.7%, 50%, and 12.5% of less than 1 week, 1-2 weeks, 2–4 weeks, 4–12 weeks, 12–24 weeks, and 24–52 weeks, respectively.


3.4.4. Matrix Scoring
Thirty beans were provided to participants to identify the indicators of calf diarrhea, paralysis or nutritional disorder, pneumonia, navel infection, and calf epilepsy. The corresponding results revealed that coughing and weight loss were 100% indicators for pneumonia and calf diarrhea, respectively. About 90% of calf diarrhea and 10% of navel infection showed watery, greenish, or profuse diarrhea. The participants were also indicated that recumbence was an indicator for nutritional disorder at 66.7%, and 33.3% of calf epilepsy. And, 100% of navel infection showed swelling and abscess/pus around the umbilicus. About 86.7% of pneumonia and 13.3% of calf diarrhea cases showed nasal discharges. Lacrimation was an indicator for pneumonia at 80%, nutritional disorder at 13.3%, and calf diarrhea at 6.7%.
3.4.5. Seasonal Calendars
Further, 30 beans were set to assess the seasonal pattern of calf morbidity and mortality rates using proportional piling approach. Accordingly, calf morbidity was estimated to occur in autumn, winter, spring, and summer with average rates of 20.8%, 21.8%, 24.7%, and 30%, respectively. In Northwestern zone, calf morbidity occurred in autumn, winter, spring, and summer seasons with average rates of 20%, 22%, 28% and 30%, respectively, while 27%, 21.6%, 21.4%, and 30% occurred in autumn, winter, spring, and summer seasons with average rates of 20%, 22%, 28%, and 30%, respectively, in Central zone (Figure 5).

3.5. Personal Observation
During the personal observation, most dairy farms have stagnated liquid wastes in their compound. This suggests the farms to have poor drainage setups. Besides, the farms are characterized to have poor hygiene and sanitation practices. Most importantly, the significant farms were concentrated in locations with dense human settlements and in close proximity to open livestock markets, which could lead to spillover infection to human residents (zoonosis) and dairy cows (reverse zoonosis). Likewise, our personal observation revealed that some farms were found closer to municipal abattoirs, where the abattoirs themselves do not have secure fences (pet proof).
4. Discussion
The present study revealed that calf morbidity and mortality were among the serious challenge for dairying in the study area. About 69.4% and 63.9% of the questionnaire respondents had experienced calf morbidity and mortality, respectively, during the preceding 5 years. These proportions were higher than previously reported studies in Ethiopia [44]. This might be due the difference in study design, agro-ecological settings, management practices, as well as availability infrastructure and service in the study areas.
According to the questionnaire survey, calf diarrhea was the primary cause of both morbidity and mortality, accounting for 43.8% and 33.3%, respectively. This finding aligns with the reports of Ahmedin and Assen [35], Tesfaye et al. [44], and Alemu et al. [45]. However, our finding was lower than that of reported by Abebe et al. [46], but it was higher than the reports of Tesfaye et al. [44] and Megersa et al. [24]. The difference might be due to varying farming practices. The higher prevalence of diarrhea in our study may be linked to poorer hygiene, sanitation, and colostrum feeding habits on the farms. For example, the respondents believe that colostrum can harm young calves. Qualitative results such as FGDs, KII, and participatory epidemiology, and qualitative studies revealed that nutritional disorders, navel ill, and pneumonia were other leading causes of morbidity and mortality which required comprehensive investigation and targeted intervention. Particularly, both quantitative and qualitative studies were the same in identifying diarrhea as the primary cause of morbidity and mortality. Similar results were reported from different areas of the country in identifying diarrhea as the primary cause of morbidity and mortality. Similarly, this was reported from different areas of the country by other authors: Ahmedin and Assen [35], Tesfaye et al. [44], Alemu et al. [45], Abebe et al. [46], and Megersa et al. [24] though the specific rates for each cause varied. Diarrhea and pneumonia were the blamed causes as reported by Wudu et al. [15], Fentie et al. [33], Ferede [25], Asmare and Kiros [47], and Dagne et al. [48]. Nutritional disorders also pose a significant health threat to dairy farms, necessitating a comprehensive investigation and targeted intervention. Indeed, Mohammed et al. [49] reported on most of these disease conditions that most of these disease conditions were also identified as major health problems in dairy farms, next to diarrhea. Pneumonia was identified as a cause of both morbidity and mortality, although at a lower rate than reported by Ahmedin and Assen [35], Alemu et al. [45], and Abebe et al. [46]. Furthermore, our personal observations confirmed that most farms were established in flat areas leading to poor drainage systems and stagnated liquid wastes in their compounds and were characterized to have poor hygiene and sanitation practices. It is obvious that poor hygiene and sanitation can lead to calf morbidities and mortalities in farms. Significant farms were also found concentrated in locations with dense human settlements and in close proximity to open livestock markets and municipal abattoirs, which could lead to spillover infection to human residents (zoonosis) and dairy cows (reverse zoonosis). This suggests the farms were established for short-term plans without careful consideration of expansion plans (master plans) of the respective towns.
Although it was statistically insignificant (p > 0.05) in the household survey, all key informants claimed that more than 90% of the cases of morbidity and mortality occur in less than one-week-aged calves. Similarly, FGD participants also suggested that most cases of calf morbidity and mortality occur mainly in the first week after birth. Results of participatory epidemiology are also similar to findings of KII and FGD that large numbers of cases occur in one-week-aged calves, followed by 1-2 weeks aged. Similar findings on calf morbidity and mortality at the early ages have been reported from different studies in Ethiopian such as Wudu et al. [15], Tesfaye et al. [44], Abebe et al. [46], Ferede et al. [25], and Mohammed et al. [49], as well as other studies conducted in Sweden [19] and Norway [50]. These early-age morbidity and mortality rates could be linked to poor calf management practices, including inadequate farm sanitation, insufficient colostrum feeding, and failure to vaccinate dams. Most importantly, farmers who attended the participatory epidemiology and FGD assessments claimed that most diseased calves did not respond to conventional antibiotic therapies. Furthermore, seasonal pattern assessment toward the occurrence of calf morbidity and mortality was also evaluated. The results showed that both calf morbidity and mortality had no significant difference (p > 0.05) across the seasons of the year. The findings of the FGD and KII results were also confirmed that calf morbidity and mortality had no distinct seasonal pattern.
Among the hypothesized risk factors, study zones/districts, sex of dairy owners, type of breeds, and health problems of dams were significantly associated (p < 0.05) with calf morbidity and mortality. Northwestern zone experienced 2.48 times higher calf morbidity and mortality rates than those of Central zone. This could also be explained by the level of animal health intervention and awareness creation efforts by governmental and nongovernmental entities or agroecological characteristics of the areas. Regarding the sex of dairy farm owners, male owners experienced twice higher calf morbidity and mortality rates than female farm owners. This could be attributed to women’s generally better adherence to hygiene and sanitation practices on farms compared to men. Females are highly effective and efficient as primary contributors to livestock husbandry practices. Similar finding was reported by Belay and Mekibib [51] that calf mortality rates were significantly lower on female-managed farms. With regard to breed types, crossbred calves were significantly more susceptible to morbidity and mortality compared to local breed calves. Alemu et al. [45] had reported similar findings, that local breeds exhibit greater tolerance to infections compared to crossbred calves. Calves born to dams having health problems were more at risks of morbidity and mortality. Yitagesu et al. [52] reported a similar finding that calves born to dams experiencing health complications, such as dystocia, were significantly associated with morbidity and mortality.
Management practices such as early calf separation, infrequent barn cleaning, inadequate disinfection, insufficient colostrum feeding, and poor water source were identified as significant risk factors for calf morbidity and mortality in this study (p < 0.05). Moreover, farm owners who failed to separate calves immediately from their dams and not disinfect their barns experienced higher morbidity and mortality rates than farm owners who implemented separating of calves from the dams and disinfection practices. Previous studies reported similar results that calves stayed with their dams and kept in unclean barns were more susceptible to infections [15, 35, 51]. Regular barn disinfection can significantly reduce pathogen loads, minimizing the risk of morbidity and mortality [15].
In the present study, calves which received less than 3 L of colostrum daily were more likely to develop health issues. This was consistent with previous study that calves which did not receive 3–4 L of colostrum per day were highly susceptible to infections [51] due to the fact that colostrum is the sole source of immunoglobulins, essential for protecting neonatal calves from infectious diseases [53, 54]. As a result, inadequate colostrum feeding was significantly associated with increased calf morbidity and mortality [45]. While almost all dairy farm owners in the study area provided colostrum to their calves promptly after birth, the quantities provided were often less than the daily recommendations. Farmers had misperceptions about the quantity of colostrum who believed that large amount of colostrum is dangerous to newborn calves [53, 54]. This misperception was evident during FGDs and participatory appraisals.
Similarly, farmers used river water were more likely to experience calf diseases compared to those used tap water. Similar results were reported that providing surface water to calves significantly increases the risk of exposure to waterborne diseases [51]. Using contaminated water for drinking and cleaning milk utensils, udders, and teats poses a significant risk of microbial contamination, leading to the spread of waterborne diseases [55], because water sources are frequently contaminated with coliforms, E. coli, and other enteric bacteria, leading to the development of calf diarrhea [56]. Generally, the discrepancies observed in the hypothesized risk factors can be attributed to variations in breed, farm characteristics, agroecological conditions, farming objectives, and diverse management practices.
5. Conclusion
The study identified that calf morbidity and mortality are serious challenges for smallholder dairying. Source of water, breed type, health status of dams, frequency of barn disinfection, using separated calf housing, amount of colostrum feeding, and cleaning frequency of barns were the potential risk factors of calf morbidity and mortality. Calf diarrhea, nutritional disorder, pneumonia, and navel ill were the major causes of calf morbidity and mortality. Poor hygiene and sanitation practices were also common in the dairy farms; and most of the dairy farms were concentrated in locations with dense human settlements, livestock markets, and municipal slaughtering houses. In addition, our assessment showed that lack of veterinary services and limited drug supply, shortage of water supply, poor AI services, and space limitation for exercising animals were the major challenges of dairy farms in the study area. These suggest that continuous capacity building trainings are required to reduce the burden of calf morbidity and mortality. Improving water supply, and veterinary and AI services would be crucial for the success of the farms. Furthermore, the locations of the dairy farms should be reconsidered as per the criteria set by the ministry of urban development and housing, and at least 5 km far from dense human settlements, livestock markets, and slaughter houses.
Conflicts of Interest
The authors declare no conflicts of interest.
Author Contributions
Gebreyohans Gebru, Dawit Gebremichael, Gebregergs Tesfamaryam, and Angesom Hadush conceived the study; Gebreyohans Gebru, Dawit Gebremichael, Gebregergs Tesfamaryam, Angesom Hadush, and Gebremedhin Romha designed the study and developed the questionnaire; Gebreyohans Gebru, Dawit Gebremichael, Gebregergs Tesfamaryam, Angesom Hadush, Tsriti Gebremeskel, Kiros Kelkay, Moges Gebremichael, and Alem Beyene collected the data; Dawit Gebremichael analyzed the data; Angesom Hadush, Gebreyohans Gebru, and Gebremedhin Romha drafted the manuscript. All authors reviewed and approved the manuscript for publication.
Funding
The study was financially supported by Aksum University (project ID number: AKU/001/12).
Acknowledgments
The authors would like to thank Aksum University for funding this project. They would also like to acknowledge Mr. Hailemichael Teklay who produced the map of the study area.
Open Research
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon request.