Advances in Animal and Veterinary Sciences

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AAVS_8_10_1100-1108

 

 

Research Article

 

Assessment of Reproductive Efficiency and Herd Dynamics of Local Cattle Breeds in Benadir Region, Somalia

 

Hassan Mohamed Hassan1, Abdirahman Bare Dubad2*, Muscub Mohamed Muse3, Abdulkadir Mumin Ali3, Burhan Said Ali3

1Faculty of Veterinary Medicine and Animal Husbandry, Somali National University, Somalia; 2Faculty of Veterinary Medicine and Animal Husbandry, Somali National University, Somalia; 3Faculty of Veterinary Medicine and Animal Husbandry, Somali National University, Somalia.

 

Abstract | Reproductive performance is one of the most important economic traits in beef or dairy production. The majority (60%) of Somalis are pastoral nomads and engage livestock production for livelihood, employment and income. Recurrent droughts and diseases are discouraging the pastoral production systems and forcing some pastoralists and diaspora to adopt small scale dairy production. Measuring the reproductive efficiency of dairy production in Somalia is paramount and deemed necessary. Therefore, an assessment was launched to assess factors that affect reproductive performance and understand the breeding regularity of local cattle breeds in Benadir region. This study was cross sectional and took place from Feb. 2018 to Feb. 2019. The study used both qualitative and quantitative data collection methods. A total of 100 respondents were interviewed to collect qualitative data while a total of 2916 cattle were examined to gather quantitative data. The overall estimated means for age at puberty (AP), age at first calving (AFC) and calving interval (CI) was: 37.9 months, 49.2 months, and 19.15 months respectively. The percentage of cows weaned live calf was 57.6%. The average milk yield of local breeds is estimated to be 8 liters per day with average lactation period of 7.7 months. In calves, the average birth weight, weaning weight, maturity weight was 15.22 kg, 156.3 kg, and 310.28 kg respectively. The fertility rate was also measured and it was found that the average conception rate to be 18%, a general fertility of 53.85% , a dystocia rate of 5.6%. Heredity, nutritional stress and diseases appeared to be the main problems causing low reproductive efficiency in the study area. Other challenges in cattle production in the area were low inputs and poor facilities. Therefore, it is recommendable that short trainings and appropriate technology transfer in delivering animal husbandry practice and basic veterinary services to small holder farmers in Benadir region.

 

Keywords | Dairy, Maturity, Fertility, Herd composition, Wieght

 

Received | March 26, 2020; Accepted | July 15, 2020; Published | August 10, 2020

*Correspondence | Abdirahman Bare Dubad, Faculty of Veterinary Medicine and Animal Husbandry, Somali National University, Somalia; Email: baredubad@snu.edu.so

Citation | Hassan HM, Dubad AB, Muse MM, Ali AM, Ali BS (2020). Assessment of reproductive efficiency and herd dynamics of local cattle breeds in Benadir Region, Somalia. Adv. Anim. Vet. Sci. 8(10): 1100-1108.

DOI | http://dx.doi.org/10.17582/journal.aavs/2020/8.10.1100.1108

ISSN (Online) | 2307-8316; ISSN (Print) | 2309-3331

Copyright © 2020 Hassan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

INTRODUCTION

 

More than 60% of the Somali populations in the federal republic of Somalia are nomads and engage livestock production for their livelihoods, employment and income. Pastoral communities are low income societies who mainly depend on subsistence livestock production and are economically marginalized while Livestock sector contributes 80% of export earnings and more than 40% of the GDP of the country (Hasaan MH and Adan JA, 2001).

 

Livestock is the backbone of Somalia’s economy (MLFR, 1981). In 1989 estimates of the livestock resources of Somalia were 20 Million of Goats, 14 Million of Sheep, Seven Million of Camels and Five Million of Cattle . Mogadishu as the capital city of Somalia has attracted small scale dairy farmers due to the demand for dairy products due to the population increases. (MLFR, 1981).

 

Owing to the climatic characteristics of Somalia, Cattle are the most vulnerable species of farm animals reared in Somalia. The stifling challenges of cattle rearing is due to seasonal shortage of water and pasture resulting from recurrent and prolonged droughts, range degradation, lack of established animal feed industries in Somalia. Unlike camel that strive in the arid and semi-arid areas; cattle herds may not be able travel long distance for the search of good quality pasture and water forcing cattle herders stay adjacent to permanent water points during dry seasons and droughts where land degradations are evident (FAO and World Bank, 2004). With these challenges in mind the cattle production is increasing in Benaadir region, where diaspora and business men are investing heavily in the sector. The new dairy farms are mainly using both exotic and indigenous breeds although most farmers keep indigenous breeds for meat and milk. And this paper will focus and measure the productivity of the indigenous cattle and asses’ factors that affect productivity and efficiency of local cattle breeds in the area.

 

MATERIALS AND METHODS

 

Study area

Benadir is an administrative region in south-eastern Somalia, Banadir is interwoven with capital city of Mogadishu, Somalia’s capital is the smallest administrative region when compared to states. Benadir’s population is estimated 3 million and it consist of seventeen districts. Benadir region and the it is surrounding is known as the dairy corridor of Somalia. As it harbored the breeding center of Somalia before the collapse of the former regimes.

 

Benadir map

 

Study design

This study was cross sectional and took place from Feb. 2018 to Feb. 2019. There was one principle researcher and four research assistants who mainly collected data from the small scale dairy farmers in Banadir region of Somalia. The study used both qualitative and quantitative data and 100 respondents were interviewed. The 100 respondents interviewed had A total number of 2916 cattle that were examined for their body weights, herd composition, fertility, conception rate.

 

Study population

Cattle herds in Benadir region of somalia were the target population of this study. A sample of 100 farmers were administered to questionnaires. And a total of 2916 cattle were also studied to collect quantitative data like weights.

 

Sample size

The Slovan’s statistical formula was used to calculate the desired sample size as follows:

 

N=134, e= 5%, 0.05, n=?

 

Solution

n= N/ (1+ (N*e^2)); n= 134/ (1+ (134*0.05^2)); n= 134/ (1+ (134*0.0025)); n=134/ (1+ (0.335)); n=134/1.335; n=100.

 

Sampling procedure

In this study, villages were selected purposively. The selections of the villages were based on the resident’s background of livestock keeping therefore those villages that had substantial number of livestock keepers were selected. The respondents were selected randomly from the selected villages, with help of village administrator’s small holder dairy farmers list were used to retrieve names of dairy farmers and their location and they were then but into a bowl and randomly picked 100 respondents.

 

Data collection tool

The researchers collected primary data using questionnaires; the selection of this instrument is guided by the time available to conduct this research, research questions and objectives of this study.

 

The researchers used weight band and scale to collect qualitative data such as the weight of animal, the weaning weight. However, data such as the birth weight was based on respondents records, recall and memory.

 

Data analysis and management

The data was collected and systematically organized in a manner that facilitated to present the data, so the researchers used quantitative data analysis in this study. To analyze the data, the researchers used descriptive statistics to describe the variables in this study. The data collected was organized, summarized, statistically treated and drafted in Statistical Package for Social Sciences (SPSS 23rd version). The researchers analyzed the data using descriptive statistical techniques.

 

RESULTS AND DISCUSSION

 

Introduction

General information about the respondents

A total of 100 respondents dully filled in the questionnaires, using experienced cattleman owned herds in Benadir, Somalia. Gender

 

 

Data in Figure 1 shows that 63% of the respondents of this study were male while 37% of the respondents were female. Based on data gathered, the majority of the respondents of this study were male.

 

Type of livestock production systems

In Figure 2 the data indicates that most of the respondents (75%) practiced semi- intensive while 25% of the respondents practiced extensive production system. Generally, majority of livestock keepers in Banadir region uses Sem-intensive production system in which they release their cattle earlier in the morning to scavenge in the city.

 

 

Purpose of production

The data in Table 1 indicates that, most of the respondents (99%), in this study reared cattle for milk production while (1% reared cattle for beef). The main purpose of keeping livestock in urban and peri-urban areas is for milk production and this is similar to study made in Burkino faso that reported the main purpose for livestock keeping is for milk. The traditional system in Benaadir areas, where lactating animal is brought to the urban-peri urban areas to milk them and sent back into extensive pastoral systems. unlike system of production in Burkinofaso, where modern production keeps animal in the urban and peri-uban regardless of it is production status. (Hamadou and Sanon, 2006; Kamuanga et al., 2008; Francis and Tylor, 2013).

 

 

 

Table 1: Type of feeds used.

 

Type of feed used Percentage of respondents
Straw and concentrate 67
Concentrate feed 12
Grass 15
All 6

 

Breed type

As shown in Figure 3, majority of the respondents reared local breeds (99%), except one responder who had mixed breeds (1%). These shows that small scale dairy farmers in Banadir region stock local breeds for dairy.

 

 

Type of roughage used for dry season

In Table 1 shows that most of the respondents (67%) used roughage as straw and concentrate together and 12% used only concentrate as animal feeds. While those who used grass for feeding were (15%) and those used combinations of all ingredients were (6%).

 

Heat detection use and breeding technique

The result in Figure 4 shows that most of respondent used expert eyes or observations to detect heat were (85%) and second largest respondent (11%) used teaser bulls, while (4%) don’t bother detecting heat were.

 

 

While the breeding technique of majority of respondent (98%) were natural mating (bulls) in their breeding. Those using artificial insemination (AI) were too low (2%).


Challenges

In Table 2 shows that 35% of the respondents indicated that diseases were the major challenges in small scale production in Banadir region, it is followed by nutrition and shortages of feed in which 33% of the respondent noted as major constraints in small scale production in Banadir region. Heredity (14%) and poor facility (4%) were also mentioned as the challenges in dairy production in the study area. However, 10% of the respondents noted that all the challenges in the table were all contributing the challenges in diary production,

 

Table 2: Challenges faced by small scale diary producers in Banadir region.

 

Challenges Percentage of respondents
Disease 35
Water and food shortage/low input 33
Heredity/breed 14
Poor facilities 8
All 10

 

Herd size and herd composition

The data in Table 3 above shows the herd composition of the farms surveyed, 43.2% are cows, 21.09% heifers, 23% calves and 12.54% bulls and 0.2% steers.

 

Reproductive parameters

In Table 4 above shows shows that the average mean of age at puberty in this study was 37.9 month, the age at first calving from the data gathered in Table 4 also illustrates that the mean age at first calving was 49.32. This study also reveals the mean of calving interval and days open of local breeds in Benadir to be 19.15 months and 98.8 days respectively.

 

Table 3: Herd size and herd composition.

 

Herd composition Total Mean Percentage
Cows 1262 12.62 43.2%
Heifers 615 6.15 21.1%
Calves 672 6.72 23%
Bulls 366 3.66 12.5%
Steers 7 0.07 0.2%
Total herd 2916 29.16  

 

Table 4: Reproductive parameters.

 

Parameter Mean
Age at puberty (month) 37.9
Age at first calving(month) 49.32
Calving interval(month) 19.15
Days open(days) 98.4
Milk yield (litters) 8
Lactation length(months) 7.7
Birth weight(kg) 15.22
Weaning weight(kg) 156.3
Mature weight(kg) 310.28
Conception rate 1.8
General fertility (%) 53.85
Average of cow weaned life calf (%) 57.6
Dystocia rate (%) 5.6
Body condition score 3.25

 

The data in Table 4 gain shows that the averages mean of milk production and lactation length of the local cattle breeds to be 8 litters and 7.7 month of lactating period.

 

 

As the result in Table 4 shows, the average general fertility and conception rate were 53.85 and 1.8 respectively. It is also evident that the mean birth weight, weaning weight and mature weight was found to be 15.22, 156.3 and 310.28 kg respectively. The result in Table 4 shows that the average percentage and mean of cows weaned life calf in were 57.6%, The average percentage of dystocia showed in this study was 5.6%.

 

Discussion

 

Dairy production in Somalia is at it is juvenile stage and has not been utilized properly. It is similar to developing countries where dairy producers struggle to achieve peak production. Dairy farming is mainly practiced around Banadir region due to the high demand for milk in the capital city of Somalia Mogadishu. Therefore, this study assess reproductive efficiency and herd dynamics of local cattle breeds in benadir region, Somalia.

 

In this study 63% of the respondents of this study were male while 37% of the respondents were female. The gender parity in livestock production exists in all African countries, and it is an indication that livestock production and ownership is dominated by men. A similar report was made by (Esenu, 2005), in Uganda who reported 76% of the livestock owners interviewed were male while 34 were women. Essenu further reported that male child involved livestock production more than the girl child and this is a way of grooming the male child to inherit livestock and land and this resonates what really exists in Somalia. The same has been reported from Zambia that men eclipse women on the ownership of valuable livestock and bars women from benefiting and decision making (Mupawaenda et al., 2009).

 

In this study it is indicated that most of the respondents (75%) practiced semi- intensive while 25% of the respondents practiced extensive production system. Generally, livestock keepers in urban areas adopt intensive farming due to poor land security and feed resources. This rhyme with what was found in Burkino faso by (Regina et al., 2016), who reported that livestock in urban and peri-urban are intensive and the purpose of keeping is mainly for dairy. (Francis and Tylor, 2013), also reported that livestock production in urban and peri-urban areas is costly and needs high input in feeding, housing and health care. This is true in the vicinity of Benaadir and livestock keepers evade the high cost of input by adopting semi-intensive livestock keeping where cattle and goats are released to scavenge discarded food products in town.

 

Majority of the respondents of this study reared local breeds (99%), except one responder who had mixed breeds (1%). This is similar to what was reported by: (Regina et al., 2016) in that the major breeds kept in urban and peri urban areas of Augodugu is the local breeds (Zebu) and still practice transhumance production. And the producers are deemed to be the original livestock keepers who moved to the urban centers. The small scale dairy farmers who keep indigenous breed have poor productivity that is associated to the poor breed, poor housing and management systems (Hamadou and Sanon, 2006; Ndambi et al., 2008).

 

The study also shows that most of the respondents (67%) used roughage as straw and concentrate together and 12% used only concentrate as animal feeds. While those who used grass for feeding were (15%) and those used combinations of all ingredients were (6%). This is close to what was reported by (Chalchissa et al., 2014) that livestock fed in urban and peri-urban areas mainly comprises of wheat straw and Tef, (Chalchissa et al., 2014). A similar study reported that farmers resort to crop residue as animal feed due to shortage of land space, climate change, and rangeland degradation. This omitted the option of producing and feeding with good quality of hay.

 

The result in this study shows that most of respondent used expert eyes or observations to detect heat were (85%) and second largest respondent (11%) used teaser bulls, while (4%) don’t bother detecting heat were. As the study suggests the heat detection techniques is unsatisfactory and this is similar to other study that reported the heat detection tool used was mainly visual which is unsatisfactory (Belihu, 2002), as another study also reported that animals to be anestrus proofed to cycling normally with use of progesterone test (Alemselam, 2016). Therefore, poor estrus detection technique contributes to the poor productivity of cattle farmers in Benadir region, While the breeding technique use by the majority of respondent (98%) were natural mating (bulls) in their breeding. Those using artificial insemination (AI) were too low (2%). This is contrary to a study conducted in Ethiopia which reported breeding techniques practiced as follows: Natural mating 26%, AI 34% and mixed 39%. The reason why natural mating is still high is due to lack of AI technicians, poor conception rate due to improper semen handling, breeding dalliance and poor animal nutrition, poor body condition, carelessness, reproductive health problems (Alemselam, 2016).

 

As per the study, 35% of the respondents indicated that diseases were the major challenges in small scale production in Banadir region, it is followed by nutrition and shortages of feed in which 33% of the respondent noted as major constraints in small scale production in Banadir region. Heredity (14%) and poor facility (4%) were also mentioned as the challenges in dairy production in the study area. However, 10% of the respondents noted that all the challenges in the table were all contributing the challenges in diary production, nutritional stress and diseases appeared to be the main problems causing low reproductive in efficiency in the study area. Other challenges in cattle production in the area were low inputs and poor facilities . This is close to what reported from somali region of ethioipia, the report indicates that The major challenges faced by dairy farmers was feeding shortage (23.1%), water scarcity (15.4%), drought 11.54% and disease 10% (Zewdie, 2016). Another research conducted in Kenya reported that diseases, inadequate feed resources, high prices of animal feeds, low fertility and poor infrastructure are the major challenges in small scale dairy producers in nairobi county (Milcah, 2018).

 

The herd composition of the farms surveyed, were 43.2% are cows, 21.09% heifers, 23% calves and 12.54% bulls and 0.2% steers. This is close to what was reported from study conducted in western kenya dairy farmers that reported that 36.4% and 15% of the animals were lactating cows and heifers respectively. (Omondi et al., 2014). Another study reported that dairy farmers practicing low intenisive farming have 57% cows, 28% hiefers 2% calves, 2% bul calves and 11% bulls (Stall et al., 2001). Heifers 21% percentage in the herd which was unusual to the normal composition requirement (10%) and through a probe question it was found out that the herdsmen usualy send dry animals to market and sell or to pastoral areas to reduce their cost of production interm of food, veterinary service and space. The percentage of calves in the surveyed herds were 23% compared to bulls which have 50% chances of being born. This study also indicates that the mean of herd composition in and around Benaadir was 12.62, 6.15, 6.72, 3.66 and 0.07 for cows, Heifers, Calves, Bulls and Steers respectivly,these results are contrary to what was found by (Yahaya et al., 2018) in Nigeria who reported a mean herd composition of 3, 1.5, 0, 1, 1,1.5, 1.5 for Males, Females, Heifers, Cow Calve, Bull Calve, Breeding Cow and Breeding Bull respectively. This reduction is due to breeding system, lack of replacement heifers, low fertility, limitation of land , scarcity of feed resource and other envirnmemtal factors. (Stall et al., 2001).

 

Age at puberty

The result of age at first conception shows that the average mean of age at puberty in this study was 37.9 month that is higher than 27 months that claimed (Nuraddis et al., 2017) who studied reproductive traits of crossbreed cattle under ethopian condition, This is also longer than the 24.3 month cross breed age at puberty (zebu*holestain) in Jimma town, Oromia State, Ethiopia reported (Duguma et al., 2012).

 

As narrated from the interviewed managers, the main factor that deleys the puberty is nutrition defficiency as the aniamls may not have access enough feed thoughtout different seasons, specially in the winter (jiilal) and in droughts. Disease is also another factor that hinders favorable conditions for reaching puberty. During the dry seasons herds have access to fed bulk materials or other farm residue, which are highly undigestible and low in nutritive value. The phenomena might be influenced by the season of calving and birth weghts.

 

Age at first calving

The result of the age at first calving from the data gathered in Table 4 illustrates that the mean age at first calving was 49.32. This mean is similar to other study that reported 48.8 Sihiwal breed in Pakistan, 49.4 White Fulani breed in Nigeria,49.5 Sudan Fulani breed in Mali,50 Horro and Haryana breed in Ethiopia and India respectively (Ahmad and Ahmad, 1974; Knudsen and Sohael, 1970; Wilson, 1985; McDowell, 1971; Kumar et al., 1979).

 

Calving interval and days open (month)

This study reveals the mean of calving interval and days open of local breeds in Benadir were 19.15 months and 98.8 days respectively. This calving interval is more than the 14 months interval reported by (Matsoukas and Fairchild, 1975) The mean of Calving interval in the present study is more in accordance with 14.6 months reported in Arsi breed in Ethiopia (Gabriel et al., 1983), but its lower than 24 months in local cows in Chacha Town in Amhara region. The prolonged calving interval may come from age of dam, genetic, forage resource and season of calving, (Mulugeta and Belayeneh, 2013) the average days open revealed in this study is close to 116 days as reported by (Kumar et al., 2014) the researcher claimed that longer open days is caused by housing and location, heredity, lactation length also has significant role to days open.

 

Daily milk production and lactation length

The data in this study, shows that the averages mean of milk production and lactation length of the local cattle breeds were 8 litters and 7.7 month of lactating period. The average result in this table is close to 7.01, 5.55 and 3.50 liters per cow, first, second and third lactation stage respectively overall average of mean was 8.4 while lactation length was 9.1 month, as reported by Duguma et al., 2012, thus the low milk production by the local breeds is associated by undeveloped feed resources, poor safety of animal, genetic factor problem (Duguma et al., 2012). Another study reveals lower milk production per day 1.5 litter and lactation length of 8.4 month in local breeds of Alefa and Quara districts, Ethiopia, thus poor value in reproductive performance carried by management factors such as poor feeding program, rough housing, poor health care (Abera et al., 2018).

 

General fertility and conception rate

In this study, the average general fertility and conception rate were 53.85 and 1.8 respectively. The mean of conception rate in this study is less than 2.1 of Local Cows in and around Mekelle, (Niraj et al., 2014) Ethiopia, this mean average is also less than 2.2 conception rate in local cows of Gondar city of Ethiopia (Kumar et al., 2014) the variation could be the different system of management, time of mating and location of farm.

 

Weight of cattle (birth, weaning and mature)

The result in this paper, showed that the mean birth weight, weaning weight and mature weight was found to be 15.22, 156.3 and 310.28 kg respectively. This mean of birth and weaning weight presented in the study are less than 33.5 and 178.9 kg of zebu cattle in southern Mexico (Segura et al., 2017). While the mean of mature weight in this study is also less then 406.95 of Nellore breed raised in the Northeast region of Brazil. This is due to genetic of zebu, tropical environment and poor nutrition (Lôbo1 et al., 2003). Genetic and enviromental are the main factors affecting weight of animals (birth, weaning and mature weights) and body condition of animal.

 

Average of cow weaned life calf

The result in in this study shows that the average percentage and mean of cows weaned life calf in were 57.6%, this is less than 93.6% of beef cow in United States that were born live and survived to weaning. It is also evident that the herds studied were having less than 60% of the cow weaned live calf. The fact shows that there are problems related to reproductive cycles that hinder the profitability of the herds. These might be due to disease, poor nutritional management and/or environmental stress and perhaps is because of local breeds genetically inheritance. Mortality rate in herd were high and relatively small numbers weaned calves appeared malnourished and light body weight that is associated with scarcity of feeding resource as respondents said. (United States Department of Agriculture, 2010).

 

Dystocia rate

The average percentage of dystocia showed in this study was 5.6%. this is shorter than to what was reported by Alemselam, from ethiopia, who reported dystocia rate of 11.6%. He also associated the high rate of dystocia with illiteracy, poor health management and genetic factors deemed to be the causes of this condition (Alemselam et al., 2015).

 

CONCLUSION AND RECOMMENDATION

 

This study was the first of it is kind conducted in Benadir region to explore the reproductive efficiency on local cattle breeds in Somali and thus concludes that small holder dairy farmers’ productivity is low and poor due to feed shortages, poor genetics of herds and poor dairy farm management.

 

Therefore, it is recommendable that short trainings and appropriate technology transfer in delivering animal husbandry practice and basic veterinary services to pastoral communities in general and to the small holder farmers in Benaadir.

 

Acknowledgement

 

I wish to sincerely express my heartfelt gratitude to everyone who assisted us to complete this research report. My primary obligation is to the parents, brothers, friends who really help gave their moral support to work and finish this study strongly (May Allah forgive them and reward them Janna) and Somali National University in particular the Faculty of Veterinary Medicine and Animal Husbandry which provided the appropriate space and resource to finish this study, so that we can do research in academic manner. The researchers appreciate the participants of this studies who spare their preciouses time to provide information

 

Authors Contribution

 

Hassan MH: conception of the research problem, literature review, research desing, data collection and drafting the manuscript.

Dubad AB: literature review, research design, data collection, analysis and corresponding to publishers and editing the manuscript.

Muscab MM: Literature review, research design, data analysis and revising the manuscript.

Abdulkadir MA: literature review, research desing, data collection, handling and data entry.

Burhan SA: Literature review, research design, data analysis and revising the manuscript.

 

Conflict of interest

 

The authors have declared no conflict of interest.

 

References

 

  • Ahmad Z, Ahmad MZ (1974). Effect of age at first calving on length of first lactation length period and calving interval in Sahiwal cows. Agric. Pak. pp. 45-48.
  • Alemselam (2016). Monitoring and improving reproductive performance of crossbred dairy cattle in Tigray Region, Ethiopia.
  • Alemselam B, Harlow C, Gidey G, Tegegne D, Tadesse D, Gidena G, Tadesse R, Simon (2015). SP - 94,EP - 101 Assessment of Reproductive Performance and Problems in Crossbred (Holstein Friesian X Zebu) Dairy Cattle in and Around Mekelle, Tigray, Ethiopia VL - 3. https://doi.org/10.11648/j.avs.20150303.14. Anim. Vet. Sci.
  • Abera BA, Wondifraw Z (2018). Reproductive and productive performance of indigenous dairy cows under smallholder farmers management system in north. https://doi.org/10.4172/2332-2608.1000261
  • Belihu (2002). Analyses of dairy cattle breeding practices in selected areas of Ethiopia. Open Access Libr. J., 2(3): Pages.
  • Beyene B, Hundie D, Gobena G (2015). Assessment on dairy production system and its constraints in horoguduru Wollega Zone, Western Ethiopia. Star J., pp. 215-221. https://doi.org/10.4314/star.v4i2.28
  • Bockline Omedo Bebe BO, Udo HMJ, Rowlands GJ, Thorpec W (2003). Smallholder dairy systems in the Kenya highlands: Breed preferences and breeding practices. Livest. Prod. Sci., 82(2-3): 117-127. https://doi.org/10.1016/S0301-6226(03)00029-0
  • Chalchissa G, Mekasha Y, Urge M (2014). Feed resources quality and feeding practices in urban and peri-urban dairy production of Southern Ethiopia. Trop. Subtrop. Agroecosyst., pp. 539-546.
  • Correa JCS, Monforte JGM, Lopez JRA, Segura VM (2017). Season and parity number influence the conception rate of zebu breed cows in South-eastern Mexico. Livest. Res. Rural Dev., pp. 1.
  • Dákay I, Márton D, Keller K, Fördös A, Török M, Szabó F (2006). Study on the age at first calving and the longevity of beef cows. Cent. Eur. Agric., 3: 377-388.
  • Development MO (1988). National account aggregates. Mogdishu.
  • Duguma B, Janssens GPJ (2016). Assessment of feed resources, feeding practices and coping strategies to feed scarcity by smallholder urban dairy producers in Jimma town, Ethiopia. Springer Plus. https://doi.org/10.1186/s40064-016-2417-9
  • Duguma B, Kechero Y, Janssens GPJ (2012). Productive and reproductive performance of zebu x holstein-friesiancrossbred dairy cows in Jimma Town, Oromia, Ethiopia. Oramia State.
  • Elmi AA (1991). Livestock production in somalia with special emphasis on camels. Nomadic Peop., pp. 87-103.
  • Esenu NB (2005). Gender relation in livestock production and ownership: implication for household food security in the testo farming system. Uganda.
  • European Union, World Bank, and FAO (2004). Somalia towards a livestock sector strategy. 04/001 ic–som.
  • Extension (2012). Retrieved 2018, from extension.org: https://articles.extension.org/pages/16517/calving-interval
  • FAO, World Bank (2004). Somalia toward a livestock sector strategy final report no 04/001 IC-SOM.
  • Francis, Tylor (2013). Sustainable Urban Agriculture and Food Planning. Pages: 40-58 eBook ISBN9781315646039. https://doi.org/10.4324/9781315646039
  • Gabriel HK, John CM, Mohamed YK, Getachew W, Frank MA, Jeffrey D (1983). Crossbred dairy cattle productivity in Arsi Region, Ethiopia. ILCA Res., No. 11.
  • Gebremichael D, Belay B, Tegegne A (2015). Assessment of breeding practice of dairy cattle in central zone of tigray, Northern Ethiopia. J. Biol. Agric. Healthc., pp. 2224-3208.
  • Gutie´rrez J, Alvarez I, Ferna´ndez I, Royob L, D´ıez J, Goyache F (2002). G enetic relationships between calving date, calving interval, age at first calving and type traits in beef cattle. Livest. Prod. Sci. 78(3): 215-222. https://doi.org/10.1016/S0301-6226(02)00100-8
  • Hailu A, Abate M (2016). Community breeding practice and the challenges in dairy cattle management in North Gondar, Ethiopia. Int. J. Environ. Agric. Res. (IJOEAR). ISSN:[2454-1850]. 2(4): 76-83.
  • Hamadou S, Sanon (2006). SynthèseBibliographique Sur Les FilièresLaitières au Burkina-Faso. ISRA-BAME, Réseau de Rechercheetd’Echangesur les PolitiquesLaitières, 03.
  • Hammoud M, El-Zarkouny, Oudah E (1985-2002). Effect of sire, age at first calving, season and year of calving and parity on reproductive performance of Friesian cows under semiarid conditions in Egypt. Arch. Zoot., pp. 1. https://doi.org/10.3168/jds.S0022-0302(06)72102-6
  • Hare E, Norman H, Wright J (2006). Trends in calving ages and calving intervals for dairy cattle breeds in the United States. Am. Dairy Sci. Assoc., pp. 1.
  • Hasaan MH, Adan JA (2001). Assessment of beef performance in pastoral production system. SNU. Archive. Livestock production. 75 P 8-12
  • Hassan HM, Mahdi MA, Mohamed NS (2003). Integrated livestock and range development as periority in somalia.
  • Hassan MH, Mahdi MA (2001). A preleminary survay on food security situation in central regions of Somalia.
  • Hinojosa A, Franco A, Bolio I (1980). Genetic and environmental factors affecting calving interval in a commercial beef herd in a semi-humid tropical environment. Trop Anim. Prod., pp. 1.
  • Ibrahim N, Seid A (2017). Review on Reproductive Performance of Crossbred Dairy Cattle in Ethiopia. J. Reprod. Infert., pp. 88-94.
  • Kamuanga MJB Somda J, Sanon Y Kagoné H (2008). Livestock and regional market in the Sahel and West Africa: Potentials and challenges.
  • Knudsen PN, Sohael AS (1970). A study of the performance of a mixed Friesian/zebu herd in a tropical environment. Trop. Agric., pp. 189-203.
  • Kumar N, Abadi Y, Gebrekidan B, Hag Y (2014). Productive and reproductive performance of local cows under farmer’s management in and around mekelle, Ethiopia. https://doi.org/10.9790/2380-07532124
  • Kumar N, Eshetie A, Others. (2014). Productive performance of indigenous and HF crossbred dairy cows in Gondar, Ethiopia. IOSR J. Agric. Vet. Sci. (IOSR-JAVS), pp. 56-61. https://doi.org/10.9790/2380-07155661
  • Kumar S, Bhat PN (1979). Reproductive performance of Hariana cattle. Indian J. Anim. Sci., 49: 1001-1008.
  • Lasley JF (1978). Genetics of livestock improvement. United State.
  • Lôbo, RN, Filho RM (2003). Estimates of genetic parameters for weights and maturingtraits derived by growth functions in nellore cattle.
  • Matsoukas J, Fairchild TP (1975). Effects of various factors on reproductive efficiency 1,2. J. Dairy Sci., pp. 540–544. https://doi.org/10.3168/jds.S0022-0302(75)84604-2
  • McDowell RE (1971). Feasibility of commerical dairying with cattle indigenous to the tropics. Cornell Int. Agric. Dev. Bull., pp. 21.
  • Mekonnin AB, Christopher RH, Goitom G, Desalew T, Gidena D, Tadesse G, Simon CR (2015). Assessment of reproductive performance and problems in crossbred (Holstein friesian x Zebu) dairy cattle in and around mekelle, Tigray, Ethiopia. Anim. Vet. Sci. pp. 94-101. https://doi.org/10.11648/j.avs.20150303.14
  • Milcah Wambui Wamugunda (2018). Challenges and opportunities for farmers in dairy farming agribusiness in ruai area- (nairobi county) http://erepo.usiu.ac.ke/bitstream/handle/11732/4379/MILCAH%20WAMBUI%20WAMUGUNDA%20MBA%202019.pdf?sequence=1andisAllowed=y.
  • MLFR (1981). Livestock census of somalia.
  • Mollah MFK, Gofur MR, Asaduzzaman KM, Bhuiyan MMU (2015). Conception Rate of Non-descript Zebu Cows and its Attributing Factors in Bangladesh. Res. J. Vet., 8: 42-51. https://doi.org/10.3923/rjvs.2015.42.51
  • Mrcvs RL (2009). National animal disease information service. Retrieved 2018, from http://www.nadis.org.uk: http://www.nadis.org.uk/bulletins/fertility-in-dairy-herds/part-8-measuring-fertility-benchmarking-your-farm.aspx
  • Mukasa-Mugerwa. (1989). A review of reproductive performance of female Bos indicus (zebu) cattle. ILCA Monograph 6.
  • Mulugeta A, Belayeneh A (2013). Reproductive and lactation performances of dairy cows in Chacha Town and nearby selected kebeles, North Shoa Zone, Amhara Region, Ethiopia. World J. Agric. Sci., 1(1): 008-017.
  • Mupawaenda AC, Chawatama S, Muvavarirwa P (2009). Gender issues in livestock production: A case study of Zimbabwe. Trop Anim. Health Prod., 41(7): 1017-1021. https://doi.org/10.1007/s11250-008-9268-5
  • Naab FZ, Dinye RD, Kasanga RK (2013). Urbanisation and its impact on agricultural lands in growing cities in developing countries: a case study of tamale in Ghana. Modern Soc. Sci. J. 2: 256-287.
  • Ndambi OA, Isaac T, Pougue H. B. Torsten H. (2008). Milk production amongst Fulani grazers in the Western Highlands of Cameroon: Constraints and development perspectives. Livest. Res. Rural Dev., pp. 20.
  • Negussie E, Brännäng E, Banjaw K, Rottmann OJ (2011). Reproductive performance of dairy cattle at Asella livestock farm, Arsi, Ethiopia. I: Indigenous cows versus their F1 crosses. J. Anim. Breed. Genet., pp. 1.
  • Niraj K, Yemane A, Berihu G, Yohannes HW (2014). Productive and Reproductive Performance of Local Cows under Farmer’s Management in and around Mekelle, Ethiopia IOSR J. Agric. Vet. Sci. (IOSR-JAVS) e-ISSN: 2319-2380, p-ISSN: 2319-2372. Volume 7, Issue 5 Ver. III (May. 2014), PP 21-24 HYPERLINK “http://www.iosrjournals.org” www.iosrjournals.org
  • Nuraddis I, Mohammed A (2017). SP - 88 EP - 94 Review on Reproductive Performance of Crossbred Dairy Cattle in Ethiopia. VL - 8 DO - 10.5829/idosi.jri.2017.88.94
  • Omondi, Wanjala, Njehia, Bernard (2014). Herd Characteristics on Smallholder Dairy Farms in Western Kenya. J. Anim. Sci. Adv. 4(8): 996-1003 https://doi.org/10.5455/jasa.20140827111904
  • Plasse D, Koger M, Warnick AC (1968). Reproductive behavior of bos indicus females in a subtropical environment. II. Calving intervals, intervals from first exposure to conception and intervals from parturition to conception. J. Anim. Sci., pp. 105-112. https://doi.org/10.2527/jas1968.271105x
  • Roessler R, Mpouam S, Muchemwa T, Schlecht E (2016). Emerging development pathways of urban livestock production in rapidly growing West Africa Cities. Sustainability, 1. https://doi.org/10.3390/su8111199
  • Segura-Correa, José C, Magaña-Monforte, Juan G, Aké-López, Jesús R, Victor M, Hinojosa-C, José A, Osorio-Arce, Mario M (2017). Breed and environmental effects on birth weight,weaning weight and calving interval of zebu cattle in Southeastern Mexico.
  • Seid NI (2017). Review on reproductive performance of crossbred dairy cattle in Ethiopia. J. Reprod. Infert., pp. 88-94.
  • Slama H, Wells ME, Adams GD, Morrison RD (1976). Factors affecting calving interval in dairy herds. J. Dairy Sci., pp. 1334–1339. https://doi.org/10.3168/jds.S0022-0302(76)84364-0
  • Spielman A, Jones IR (1939). The reproductive efficiency of dairy cattle. J. Dairy Sci., pp. 329-334. https://doi.org/10.3168/jds.S0022-0302(39)92891-2
  • Stall SJ, Owango M, Muruiki H, Kenyanjui M, Lukuyu BB, Njoroge L, Njubi D, Baltenweck I, Musembi F, Bwana O, Muruiki K, Gichugu G, Omore A, Thorpe W (2001). Dairy Systems characterization of greater Nairobi milk shed. SDP (Small holder project students of, Keith Javic-Class of 2003 , and and C. Nikki Conroy- Class of 2003. (1999-2001). field service home. Retrieved july sunday, 2018, from http://cal.vet.upenn.edu: http://cal.vet.upenn.edu/projects/fieldservice/Dairy/REPRO/REPPROG/EVALREPR.htm
  • Tada O, Muchenje V, Dzama K (2013). Reproductive efficiency and herd demography of Nguni cattle in village-owned and group-owned enterprises under low-input communal production systems. Springer Science+Business Media Dordrecht 2013, 1. https://doi.org/10.1007/s11250-013-0363-x
  • United States Department of Agriculture (2010). Mortality of calves and cattle on U.S. Beef Cow-calf Operations.
  • Vohjr AA, Otchere EO (1989). Reproductive performance of Zebu cattle under traditional agropastoral management in northern Nigeria. Anim. Reprod. Sci., pp. 191-203. https://doi.org/10.1016/0378-4320(89)90092-4
  • Werth LA, Azzam SM, Kinder JE (1996). Calving intervals in beef cows at 2, 3, and 4 years of age when breeding is not restricted after calving. J. Anim. Sci., 74(3): 593. https://doi.org/10.2527/1996.743593x
  • Wilson RT (1985). Livestock production in central Mali: Reproductive aspects of sedentary cows. Anim. Reprod. Sci., pp. 1-9. https://doi.org/10.1016/0378-4320(85)90036-3
  • Yagüea G, Goyache F, Others (2009). Bayesian estimates of genetic parameters for pre-conception traits, gestation length and calving interval in beef cattle. Anim. Reprod. Sci., pp. 72-80. https://doi.org/10.1016/j.anireprosci.2008.09.015
  • Yahaya DSG, Chia SS (2018). Assessment of herd size and structure of the savanah muturu on free range in relation to genetic improvement in the Benue trough of Nigeria. Negeria.
  • Zewdie A (2016). Small Scale dairy production System Challenges and prospects in fafen zone, Ethiopian Somali Regional State, Eastern Ethiopia V5. J. Anim. Prod. Adv.
  •