International Journal of
Livestock Production

  • Abbreviation: Int. J. Livest. Prod.
  • Language: English
  • ISSN: 2141-2448
  • DOI: 10.5897/IJLP
  • Start Year: 2009
  • Published Articles: 263

Review

Suboptimum reproductive performance among dairy herds in Uganda

Godfrey Bigirwa
  • Godfrey Bigirwa
  • College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, Uganda.
  • Google Scholar
James Okwee Acai
  • James Okwee Acai
  • College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, Uganda.
  • Google Scholar
Paul Bogere
  • Paul Bogere
  • College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, Uganda.
  • Google Scholar
Seok Ki Im
  • Seok Ki Im
  • International Agricultural Development and Cooperation Center, Chonbuk National University, Jeonju 54896, Korea.
  • Google Scholar
Hyun Kim
  • Hyun Kim
  • TNT Research Co., Ltd, Jeonju 54810, Korea.
  • Google Scholar
Dae-Jin Kwon
  • Dae-Jin Kwon
  • International Agricultural Development and Cooperation Center, Chonbuk National University, Jeonju 54896, Korea.
  • Google Scholar
Hak-Kyo Lee
  • Hak-Kyo Lee
  • International Agricultural Development and Cooperation Center, Chonbuk National University, Jeonju 54896, Korea.
  • Google Scholar
Ki-Duk Song
  • Ki-Duk Song
  • International Agricultural Development and Cooperation Center, Chonbuk National University, Jeonju 54896, Korea.
  • Google Scholar


  •  Received: 06 September 2018
  •  Accepted: 21 November 2018
  •  Published: 30 April 2019

 ABSTRACT

Suboptimum reproductive performance affects the overall profitability of dairy herds. In order to manage this condition, there is need to clearly understand the different forms in which it presents, as well as its possible risk factors under the Ugandan context. This review study was conducted to highlight the different forms of suboptimum reproductive performances among Ugandan dairy herds through literatures from previous studies. At the same time, underscores the coexistence of risk factors of suboptimum reproductive performance among the same dairy herds in Uganda. In Uganda, dairy cattle experienced pathological postpartum cycling patterns, delayed calving to first service intervals, long calving intervals, low pregnancy rates and high abortion rates. Inadequate nutrition, management errors and infectious genital diseases such brucellosis and bovine viral diarrhea were common in these herds. There is need to undertake studies that link the different forms of suboptimum reproductive performance and their possible risk factors.

Key words: Suboptimum reproductive performance, postpartum pathological anestrous, infectious genital diseases.

 


 INTRODUCTION

Dairy production is the single largest agricultural sector in the world. The sector  accounts for 14% of global agricultural trade, with milk being the most traded agricultural product (Wang and Li, 2008). In Uganda, the dairy industry is estimated to contribute about 50% of the total output from the livestock subsector (Ekou, 2014). Efforts to improve dairy production in the country have been enhanced through introduction of Holstein Friesians as the main temperate dairy breed (Galukande, 2010).  However, the dairy sector in Uganda is still facing many challenges, including low dairy herd productivity (Kabirizi et al., 2006).

Dairy herd productivity is mostly determined by the cow’s reproductive performance as it influences the efficiency of milk production and the number of calves produced  in  the  cow’s  lifetime  (Plaizier   et  al.,  1997).  

Among the reproductive performance measures, that is, age at first calving, number of service per-conception, calving to first service interval (CSI), calving interval (CI) and pregnancy rates are the commonly used indices on most dairy farms. Suboptimum dairy cow reproductive performance is typified by low pregnancy rate, increased number of service per conception, delayed postpartum intervals to first oestrus, and long calving intervals, among others (Esslemont, 1992). As a result, suboptimum reproductive performance leads to fewer calves born during the productive lifetime of the cow, a high involuntary culling rate, veterinary costs, all of which erodes the profitability of the dairy enterprise. Numerous factors such as inadequate nutrition, infectious genital diseases, environmental stressors, as well as cow-based factors including breed, parity and level of milk production, have been associated with occurrence of suboptimum reproductive performance among dairy cattle.

In Uganda, several studies have reported the occurrence of suboptimal reproductive performance among dairy herds (Mugisha et al., 2014; Ongubo et al., 2015).  In the same dairy herds, the existence of possible risk factors including management errors, poor nutrition, infectious genital diseases and heat stress, has also been documented. However, fewer studies have established the associations between the risks factors of suboptimum reproductive performance and its occurrence among dairy herds in Uganda. Based on this background, the different forms of sub-optimum reproductive performances were reviewed among dairy herds in Uganda. Belatedly, the risk factors associated with suboptimum reproductive performance are highlighted, with a view of guiding future studies aimed at linking these factors and the occurrence of reproductive disorders among dairy herds in Uganda.

FORMS OF SUBOPTIMUM REPRODUCTIVE PERFORMANCE AMONG DAIRY HERDS IN UGANDA

Worldwide, suboptimum reproductive performance has been recognized as a major production bottleneck among dairy herds. As a result, several researchers have reported different indicators of reproductive inefficiency in dairy herds. In this review, published data was used to document the major indicators of dairy reproductive inefficiency under Ugandan conditions.

Pathological postpartum cycling patterns

In practice, it is recommended for dairy producers to set a voluntary waiting period (VWP) of 60 to 65 days after calving during which a cow is not bred even when it comes on heat. This is meant to allow the reproductive system of a cow to achieve full recovery from the previous calving. Immediately after VWP, cows are required to be bred on the subsequent heat so as to conceive within 80 to 85 days after calving (Dayyani et al., 2013). This is based on the fact that the goal of cow-calf operations is to obtain one calf per cow per year, given that the gestation length is 280 days. 

Pathological postpartum cyclicity is a functional disorder characterized by failure of a postpartum cow to resume ovarian function, ovulate and establish pregnancy within 80 to 85 days after calving. At farm level, cows with this condition have long calving to first service intervals, extended calving intervals, low submission rates, low pregnancy and calving rates (Lucy, 2001). The inability to meet the optimal dairy reproduction performance targets, compromises the overall profitability of the farming business. Although the causes of this condition include congenital defects, physiological disturbances/imbalances, management errors and infectious agents, the underlying feature is the deviations in hormones that regulate reproductive activities among affected animals. Among dairy farms, pathological postpartum anestrus tends to affect individual animals or a particular sub-group of animals in the herd. The main forms of pathological postpartum anestrus include: sub estrus, true anestrus, ovulatory defects and cystic ovarian disease (COD) (Max, 2010).

In Uganda, a study (Kanyima et al., 2014)revealed that up to 81.4% of dairy cows in peri-urban Kampala resumed cyclicity within 60 days post calving. However, only 23.7% of the daily cows maintained cyclicity and were therefore the only ones that could achieve the recommended 365-day calving interval. In this study, poor nutrition as well as management errors such as manual extraction of after-births were associated with occurrence of pathological postpartum cyclicity patterns. Therefore, proper husbandry practices especially management of postpartum dairy cows need to be emphasized through training of farmers at household levels.

Long calving intervals

Calving interval (CI) refers to the number of days between successive parturitions (calvings). Several studies have examined the economics of maintaining a regular CI on milk production and overall dairy profitability. In these studies, the need to review all major dairy herd management practices as well as costs of producing milk are highly emphasized before deciding the length of CI to adopt (Arbel et al., 2001). Under normal circumstances, the acceptable CI is when a dairy cow calves after every 12 months.

From the literature reviewed (Table 1), there was a wide variation in the calving intervals among breeds and production systems in Uganda. Several studies have reported CI  ranging  from 13 to 36.5 months among dairy small holder dairy farming systems in Central Uganda (Mugisha et al., 2014; Nakiganda et al., 2006). In the same central Uganda region, Mugisha et al. (2014)reported an average calving interval of 14.4 months among dairy herds . However, a study by Kugonza et al. (2011)reported a shorter CI among Ankole cattle in Western Uganda, which could be attributed to their adaptation to the environment and having no postpartum lactation stress. The calving intervals among dairy cattle in Uganda were comparable to those reported in other sub-Saharan African counties especially Kenya and Ethiopia. Nevertheless, all studies reveal extended calving intervals among the breeds and production systems in Uganda. As earlier noted, the calving to conception interval should not exceed 80 to 85 days if a farmer is to realize a 12 months calving interval. Therefore, interventions aimed at shortening the calving to first service interval (CSI) will enable a dairy farmer to achieve an optimum calving interval.

 

 

Low pregnancy rates

Pregnancy rates are universally regarded as the most important measures of breeding efficiency used to monitor reproductive performance among dairy herds (Chebel et al., 2004). This is in view of the fact that this parameter is easy to measure and less biased compared to CI, which requires the data of two subsequent calving. Pregnancy rate measures the percentage of cows eligible to be bred that actually get pregnant in a given time.

In Uganda, fewer studies on pregnancy rates among dairy cattle herds have been conducted. This is mainly due to the fact that fewer farmers keep breeding records. Besides, natural mating is the mostly practiced breeding method which makes it impossible to know exactly when the cows were mated. A survey on the use artificial insemination (AI) among dairy herds in peri-urban Kampala reported low pregnancy rates (Eklundh, 2013). The reported low pregnancy rates were based on farmers’ responses,  recorded  breeding repeats and pregnancy wastages. On the other hand, controlled breeding experiments, as shown in Table 2, recorded higher pregnancy rates.  De Vries (2006)observed that in order to achieve a high pregnancy rate of at least 25%, at least, both 65% service rate and 35% conception rate should be realized. Management interventions aimed at minimizing heat and environmental stress, adequate nutrition and control of infectious diseases are important to ensure the high pregnancy rates. Correspondingly, good animal management practices such as adequate nutrition and deworming reported in the Ugandan experimental breeding program (Cumming et al., 1994), could explain the attained higher pregnancy rates.

 

 

High abortion rates

In dairy cattle operations, abortion is defined as expulsion  of the fetus between the age of 42 days and approximately 260 days’ of gestation (Hovingh, 2009). Abortions cause significant morbidity and mortality as well as heavy financial losses to the affected dairy herds. The effects of abortions include low pregnancy and low calving rates, reduced milk production and pre-mature culling, ultimately reducing overall dairy herd productivity (Hovingh, 2009). In view of the significant effects of this reproductive disorder, the abortion rate is commonly used to monitor reproductive performance among dairy herds. There are numerous causes of abortion among dairy cattle herds which include infectious agents (bacteria, viruses, protozoa, and fungi), toxic agents, heat stress, and genetic abnormalities. It should be noted that  most dairy herds suffer an abortion rate of 1 to 5%; and this is often considered normal (Lucchese et al., 2016). However, if the abortion rate increases to above 5%, then the manager should begin to make efforts to investigate the cause. In Uganda, a herd level abortion rate of 30 to 35% has been reported among urban and peri-urban dairy farms (Benon et al., 2015). Furthermore, a study by Magona et al. (2009)revealed that the abortion rate was 5.4 to 23% among zero-grazed and pastoral systems in Uganda. This abortion rate is far beyond the recommended tolerable level and there is therefore a need to investigate the causes and come up with intervention strategies to address this challenge.

RISK FACTORS OF SUBOPTIMUM REPRODUCTIVE PERFORMANCE AMONG DAIRY HERDS IN UGANDA

To address the challenge posed by suboptimum reproductive performance in dairy herds, it is important to establish its plausible risk factors. Based on published data, a number of risk factors linked to different contributors of suboptimum reproductive performance in Ugandan dairy herds were highlighted.

Inadequate nutrition

Nutrition plays a significant role in dairy cattle reproductive performance. Nutrition influences reproductive performance by altering the concentrations of hormones and metabolites at all levels that regulate reproduction, that is, the hypothalamus-pituitary-ovarian axis. In particular, nutrition modulates the generation of hypothalamic gonadotropin releasing hormone (GnRH) pulse that is responsible for luteinizing hormone (LH) pulsatility and eventual ovulation. Inadequate dairy cow nutrition, especially low energy intake, precipitates a state where energy demand for lactation and maintenance exceeds dietary intake. Affected cows have low plasma glucose, reduced LH pulse and impaired ovarian function, leading to suboptimum reproductive performance. Consequently, proper nutrition has been reported to advance puberty, reduce postpartum anestrus period and improve conception and pregnancy rates.

Several studies have reported poor nutrition among dairy herds in Uganda (Kiggundu et al., 2014; Nakiganda et al., 2006). This has been attributed to the fact that most dairy herds depend entirely on rain-fed natural feeds and pastures, with a few engaging in fodder production and conservation. As a result, the dairy animals are unable to meet the nutritional needs which translate into low milk production and reproductive performance. A study revealed that about 30.7% of dairy cows in Uganda suffered pre-partum negative energy balance (Dickson et al., 2014). The same study reported that 18.8% of the dairy cows in Uganda had postpartum subclinical ketosis. Negative energy balance and subclinical ketosis have been reported as major causes of high incidences of postpartum diseases as well as suboptimal dairy reproductive performance. Furthermore, feed scarcity due to drought (Nakiganda et al., 2006), insufficient feed sources (Kiggundu et al., 2014), suggest that dairy cows in Uganda do not get enough nutrients to meet their production and reproduction potential.

Dairy farm and herd management errors 

Dairy farm and herd management errors are caused by poor workmanship by the managers and cattle handlers themselves. These errors include failure to keep records, misidentification of animals, poor heat detection, and poor management especially during the post parturient interval (Mugisha et al., 2014). It is important to note that studies on management causes of sub-optimum reproductive performance especially general husbandry practices have been the most emphasized in Uganda.  Kanyima et al. (2014)reported management errors that include calving in unhygienic environments, manual extraction of cow placentae shortly after calving and traditional practices of managing obstetrical cases among dairy farmers in peri-urban Kampala. These practices predispose to post parturient disorders such as endometritis, metritis and retained afterbirth, all which adversely affect reproductive performance of dairy cows. Poor record keeping has also been reported among dairy farms. This is attributed to the fact that most farmers are illiterate, while others find record-keeping as laborious, time consuming and meaningless. Failure to keep records lead to misidentification of animals, inability to follow up herd performance and inefficiency in making decisions. Moreover, a study by Mugisha et al. (2014)reported record keeping as a key factor that determined the success of heat detection and artificial breeding services among dairy farms in central Uganda.

Infectious genital diseases

Suboptimum reproductive performance caused by infectious  genital  diseases  remains  a serious challenge among dairy herds (Campero et al., 2003). The prevalence of these infections varies across herds and production systems. Brucellosis, BVD, IBR, Trichomoniasis and Vibriosis are known to be among the most important infectious genital conditions in many parts of the world. These conditions cause several reproductive disorders that include embryonic death, repeat breeding, abortions, stillbirth and uterine infections. In Uganda, several studies (Table 3) have reported the existence of infectious genital diseases among dairy herds. However, there are wide variations in occurrences of these diseases in different parts of the country. Of all the infectious genital diseases, Brucellosis has been the mostly studied with several researchers reporting prevalence ranging from 0 to 100% among dairy herds in Uganda. On the other hand, BVD sero-prevalence of 39% was reported among dairy herds in urban and peri-urban Kampala (Jönsson, 2013). Although the prevalence of IBR has not been reported in Uganda, several studies in other African countries have reported more than 50% prevalence among cattle herds. A recent study  reported a herd prevalence of up to 81.8% among the major milk sheds in Ethiopia (Sibhat et al., 2018). Other studies have reported IBR prevalence levels of up to 74.47% in South Africa (Njiro et al., 2011), and 69% among cattle herds in Ghana (Adu-Addai et al., 2012). The fact that most African countries have similar agro-ecological conditions and farming systems suggests that these diseases may be significant in Uganda as well. It should be noted that fewer studies have been conducted to associate the prevalence of infectious genital  diseases and occurrence of suboptimum reproductive performance conditions in Uganda. However, a study by Magona et al. (2009)reported high incidence of abortion rates among Brucella sero-positive dairy cattle herds in Uganda. Other infectious genital diseases like Trichomonisis and Vibriosis have not been studied in Uganda.

 

 

 

 


 CONCLUSION

Suboptimum reproductive performances documented in dairy cattle throughout the world, are also observed among herds in Uganda. This is mainly based on farm information and the few highlighted studies. There is a need for further studies to establish and estimate reproductive parameters among dairy herds in Uganda. Such studies should incorporate in the risk factors of suboptimum reproductive performances. It is based on such findings that informed management interventions aimed at improving reproductive performance of dairy cattle in Uganda can be implemented.

 


 ACKNOWLEDGEMENTS

This work was supported by grants from  the Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry (IPET) funded by Ministry of Agriculture, Food and Rural Affairs (MAFRA;316084 - 03), Republic of Korea, the Cooperative Research Program    for    Agriculture   Science    and    Technology Development (Project No. PJ01361101), Rural Development Administration, Republic of Korea,and the Next-Generation BioGreen 21 Program (No. PJ01315101), Rural Development Administration, Republic of Korea.

 


 CONFLICT OF INTERESTS

The authors declare that they have no conflict of interest.

 



 REFERENCES

Adu-Addai B, Koney E, Addo P, Kaneene J, Mackenzie C, Agnew D (2012). Importance of infectious bovine reproductive diseases: An example from Ghana. Veterinary Record 171:47-47.
Crossref

 

Arbel R, Bigun Y, Ezra E, Sturman H, Hojman D (2001). The effect of extended calving intervals in high lactating cows on milk production and profitability. Journal of Dairy Science 84:600-608.
Crossref

 

Benon KM, Owiny DO, Båge, R, Nassuna-Musoke MG, Humblot, P, Magnusson U (2015). Managerial practices and factors influencing reproductive performance of dairy cows in urban/peri-urban areas of Kampala and Gulu, Uganda. Acta Veterinaria Scandinavica 57:35. Bernard F, Vincent C, Matthieu L, David RJ D (2005). Tuberculosis and brucellosis prevalence survey on dairy cattle in Mbarara milk basin (Uganda). Preventive Veterinary Medicine 67:267-281.

 

Campero CM, Moore D, Odeón AC, Cipolla AL, Odriozola E (2003). Aetiology of bovine abortion in Argentina. Veterinary Research Communications 27:359-369.
Crossref

 

Chebel RC, Santos JE, Reynolds JP, Cerri RL, Juchem SO, Overton M (2004). Factors affecting conception rate after artificial insemination and pregnancy loss in lactating dairy cows. Animal Reproduction Science 84:239-255.
Crossref

 

Cumming I, Friend A, Aguma C (1994). Use of indigenous breeds of cattle and their crosses in Uganda as recipients for imported Bos taurus embryos. Tropical Animal Health and Production 26:119-126.
Crossref

 

Dayyani N, Karkudi K, Bakhtiari H (2013). Reproductive performance definition in dairy cattle: affective factors. International Journal of Advanced Biological and Biomedical Research 1:1392-1396.

 

De Vries A (2006). Determinants of the cost of days open in dairy cattle. proceedings of the 11th international symposium on veterinary epidemiology and economics.

 

Dickson T, Bigirwa G, Kanyima BM, Nakao T (2014). Negative Energy Balance in Transition Period and the Prevalence of Subclinical Ketosis in Early Lactation in Dairy Cattle in the Peri-Urban Kampala.

 

Egaru D, Zirintunda G, Ekou J (2013). Seroprevalence of brucellosis in cattle of Arapai Sub-County of Soroti, Uganda. Journal of Experimental Biology 1:6.

 

Eklundh C (2013). The use of artificial insemination in dairy farms in urban/peri-urban Kampala, Uganda.Swedish University of Agricultural Sciences, Faculty of Veterinary Medicine and Animal Science.

 

Ekou J (2014). Dairy production and marketing in Uganda: Current status, constraints and way forward. African Journal of Agricultural Research 9:881-888.

 

Esslemont R (1992). Measuring dairy herd fertility. The Veterinary Record 131:209-212.
Crossref

 

Galukande EG (2010). Comparison of production systems with purebred Ankole vs. Crossbred Ankole-Friesian animals on-farm using a combined cross-sectional and longitudinal approach (Kiruhura district of Uganda), Conference on International Research on Food Security, Natural Resource Management and Rural Development University of Hohenheim, Tropentag. October 7-9, 2008.

 

Hovingh E (2009). Abortions in Dairy Cattle I: Common Causes of Abortions. Virginia Cooperative Extension pp. 404-288.

 

Jönsson E (2013). Seroprevalence and risk factors for bovine brucellosis, salmonellosis and bovine viral diarrhea in urban and peri-urban areas of Kampala, Uganda.

 

Kabirizi J, Mpairwe D, Mutetikka D (2006). Improving dairy cattle productivity in smallholder farms in Uganda: Incorporating leguminous forages in farming systems. Uganda Journal of Agricultural Sciences 12:1-12.

 

Kanyima B, Båge R, Owiny D, Ntallaris T, Lindahl, J, Magnusson U Nassuna‐Musoke, M (2014). Husbandry Factors and the Resumption of Luteal Activity in Open and Zero‐Grazed Dairy Cows in Urban and Peri‐Urban Kampala, Uganda. Reproduction in Domestic Animals 49:673-678.
Crossref

 

Kiggundu M, Kabi F, Mette V, Nalubwama S, Odhong C (2014). Management and use of dairy cattle feed resources on smallholder certified organic pineapple farms in Central Uganda. Journal of Agriculture and Environment for International Development 108:207-225.

 

Kugonza D, Nabasirye M, Mpairwe D, Hanotte O, Okeyo A (2011). Productivity and morphology of Ankole cattle in three livestock production systems in Uganda. Animal Genetic Resources/Resources génétiques animales/Recursos genéticos animales 48:13-22.

 

Kwon D, Im S, Kim H, Lee H, Song K (2017). Estrus Synchronization and Pregnancy Rate Using Ovsynch Method in Uganda Dairy Farms. Journal of Embryo Transfer 32(3):159-163.
Crossref

 

Lucchese L, Benkirane A, Hakimi I, El Idrissi A, Natale A (2016). Seroprevalence study of the main causes of abortion in dairy cattle in Morocco. Veterinaria Italiana 52:3-19.

 

Lucy M (2001). Reproductive loss in high-producing dairy cattle: where will it end? Journal of Dairy Science 84:1277-1293.
Crossref

 

Magona J, Walubengo J, Galiwango T, Etoori A (2009). Seroprevalence and potential risk of bovine brucellosis in zerograzing and pastoral dairy systems in Uganda. Tropical Animal Health and Production 41:1765.
Crossref

 

Makita K, Fèvre EM, Waiswa C, Eisler MC, Thrusfield M, Welburn SC (2011). Herd prevalence of bovine brucellosis and analysis of risk factors in cattle in urban and peri-urban areas of the Kampala economic zone, Uganda. BMC Veterinary Research 7:60.
Crossref

 

Max A (2010). Anestrus in dairy cows. Życie Weterynaryjne 85:766-769.

 

Miller R, Nakavuma J, Ssajjakambwe P, Vudriko P, Musisi N, Kaneene J (2016). The prevalence of brucellosis in cattle, goats and humans in rural Uganda: A comparative study. Transboundary and emerging diseases 63(6):197-210.
Crossref

 

Mugisha A, Kayiizi V, Owiny D, Mburu J (2014). Breeding services and the factors influencing their use on smallholder dairy farms in Central Uganda. Veterinary Medicine International 2014. Volume 2014, Article ID 169380, pp. 1-7.
Crossref

 

Mugizi DR, Boqvist S, Nasinyama GW, Waiswa C, Ikwap K, Rock K, Lindahl E, Magnusson U, Erume J (2015). Prevalence of and factors associated with Brucella sero-positivity in cattle in urban and peri-urban Gulu and Soroti towns of Uganda. Journal of Veterinary Medical Science 77:557-564.
Crossref

 

Mwebe R, Nakavuma J, Moriyón I (2011). Brucellosis seroprevalence in livestock in Uganda from 1998 to 2008: A retrospective study. Tropical Animal Health and Production 43:603-608.
Crossref

 

Nakiganda A, Mcleod A, Bua A, Phipps R, Upton M, Taylor N (2006). Farmers' constraints, objectives and achievements in smallholder dairy systems in Uganda. Livestock Research for Rural Development 18:2006.

 

Njiro S, Kidanemariam A, Tsotetsi A, Katsande T, Mnisi M, Lubisi B, Potts A, Baloyi F, Moyo G, Mpofu J (2011). A study of some infectious causes of reproductive disorders in cattle owned by resource-poor farmers in Gauteng Province, South Africa. Journal of the South African Veterinary Association 82:213-218.
Crossref

 

Ocaido M, Otim C, Okuna N, Erume J, Ssekitto C, Wafula, R, Kakaire D, Walubengo J, Monrad J (2005). Socio-economic and livestock disease survey of agro-pastoral communities in Serere County, Soroti District, Uganda. Livestock Research for Rural Development 17 p.

 

Oloffs A, Baumann M, Afema J, Nakavuma J (1998). Experiences with a strategy to investigate bovine brucellosis in a rural area in Southwest Uganda. Revue D Elevage et de Medicine Veterinaire Des Pays Tropicaux 51:101-105.

 

Ongubo M, Rachuonyo H, Lusweti F, Kios D, Kitilit J, Musee K, Tonui W, Lokwaleput I, Oliech G (2015). Factors affecting conception rates in cattle following embryo transfer. Uganda Journal of Agricultural Sciences 16:19-27.
Crossref

 

Plaizier J, King G, Dekkers J, Lissemore K (1997). Estimation of economic values of indices for reproductive performance in dairy herds using computer simulation. Journal of Dairy Science 80:2775-2783.
Crossref

 

Sibhat B, Ayelet G, Skjerve E, Gebremedhin EZ, Asmare K (2018). Bovine herpesvirus-1 in three major milk sheds of Ethiopia: Serostatus and association with reproductive disorders in dairy cattle. Preventive Veterinary Medicine 150:126-132.
Crossref

 

Wang Y, Li S (2008). Worldwide trends in dairy production and consumption and calcium intake: is promoting consumption of dairy products a sustainable solution for inadequate calcium intake? Food and Nutrition Bulletin 29:172-185.
Crossref

 

Wolff C, Boqvist S, Ståhl K, Masembe C, Sternberg-Lewerin S (2017). Biosecurity aspects of cattle production in Western Uganda, and associations with seroprevalence of brucellosis, salmonellosis and bovine viral diarrhoea. BMC Veterinary Research 13:382.
Crossref

 




          */?>