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Goats housed in a kraal, Tanzania

Biosciences fund brings Tanzanian researcher one step closer to unravelling the genetic diversity of the Small East African goat

Goat production is among the foremost agricultural activities that sustain the livelihoods of millions smallholder farmers and pastoral and agro-pastoral communities in Tanzania. Majority of Tanzania goats (about 98%) are assumed to belong to the Small East African (SEA) breed, with very few belonging to other exotic dairy and meat goat breeds.

The Small East African goat breed is predominantly found throughout eastern Africa and parts of southern Africa. These goats have different tribal or local names and are mostly kept by pastoralists in the rural areas, agro-pastoralists and mixed (crops-livestock) farmers for meat. Their coat produces good quality leather. Some of the valuable characteristics of these goats are a tolerance to heartwater (an endemic tick-borne disease of ruminants), worms and other diseases commonly found in East Africa, such as mange. They are small (they range in weight between 20 and 45 kgs), agile and active goats whose colour ranges from pure white, pure brown to pure black with various intermixes of the three colors.


A young boy herds SEA goats in Tanzania

But different agroecological zones result in differentiations in the goats’ adaptive nature. SEA goats in Tanzania have not been fully characterized, and as a result, there is no breed- or strain-specific information on their genetic variability or uniqueness. Today, it is still unclear whether the indigenous goats of Tanzania are one breed (SEA) or if they fall under different strains or ecotypes. Additionally, the performance and adaptive attributes of the SEA goats kept in the country are still unknown.

Tanzanian farmers have made numerous efforts to crossbreed SEA goats in an attempt to improve their productivity, an activity that could prove more harmful than helpful if not checked. Crossbreeding by farmers without understanding the goat genetic resources could lead to loss of some of the unique features of these goats. On the other hand, understanding goat genetics has the potential to increase SEA goats’ milk and meat productivity and create sustainable development of goat farming in the country.


A woman milks an SEA goat belonging to the Pare Doe strain

Athumani Nguluma, a senior research officer at the Tanzania Livestock Research Institute (TALIRI), and a former Biosciences eastern and central Africa – International Livestock Research Institute (BecA-ILRI) Hub Africa Biosciences Challenge Fund (ABCF) fellow, is studying the genetic diversity of SEA goats in Tanzania. His goal is to better understand this important goat breed so that he can contribute to a clearer understanding of its population genetic structure and unique genetic features. This knowledge will be vital in designing SEA breed improvement and conservation programs, which could solve the low meat and milk productivity problem of the local goats that plagues Tanzanian farmers thereby considerably improving household income and bringing other socio-cultural benefits.

At TALIRI, Nguluma is working with the organization responsible for coordinating research in Tanzania including small ruminant research, which is where Nguluma was exposed to previous research on SEA goats and his interest was piqued. While studying for his PhD, he worked on the characterization of SEA goats, but due to insufficient funding, his assessed only a few subpopulations of the breed and identified only a few microsatellite markers of the breed’s genome.

Receiving the ABCF fellowship broadened Nguluma’s research from what he had initially hoped to do. His study, which has been ongoing for a year, is focused on assessing the diversity of goats in the major agro-ecological zones of Tanzania. His research methods include on-farm collection of goat blood samples and a cross-sectional research design through farmer interviews to gather information about the goats breeds in the country and their production environment. So far, he has obtained phenotypic and maternal genetic variation data of goats from 11 out of 26 regions in the country.

Nguluma appreciates the role of the BecA-ILRI Hub in equipping him with the skills to do this work. ‘Before coming to BecA-ILRI Hub my knowledge and skills on molecular genetics and genomics was low. I have since been exposed to state-of-the-art molecular labs and the technical knowhow in molecular research. I have also gained modern bioinformatics skills and access to important software for my research.’


The Tanzanian Ujiji Doe strain from the SEA breed

The next steps in his research include data analysis, report writing and publishing his findings. He will also conduct a comparative genomic study of the country’s goat populations to better understand the uniqueness of particular breeds. Later he will carry out whole sequencing of their genetic code so he can develop markers for improvement to boost their productivity. 

While at BecA-ILRI Hub, he was supervised by Roger Pelle. At TALIRI, he’s supervised by S. W. Chenyambuga and Zabron Nziku from TALIRI.

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Researcher using skills gained at BecA-ILRI Hub to hasten adoption of improved Brachiaria grass varieties in Tanzania

With an area of 885,800 km2 and a population of 58,458,191 people, Tanzania is one of the largest and most populous countries in Africa. Crop and livestock farming is the main source of livelihood for most Tanzanians. The country’s large livestock population includes 25 million cattle, 16.7 million goats, and eight million sheep.

The main source of feeds for livestock in Tanzania is natural pastures, which are found in the country’s vast rangelands. But these feed sources are often of poor quality and insufficient, especially in the dry seasons. Additionally, conversion of natural pasture into crop production and non-agricultural use areas, and the degradation of pasture due to overgrazing and poor management have reduced the feed available to the country’s livestock.

One step towards addressing the shortage of quality animal feeds in Tanzania is by establishing the available alternative feed resources. Walter Mangesho, a senior livestock research officer at the Tanzania Livestock Research Institute (TALIRI) and a former Africa Biosciences Challenge Fund (ABCF) fellow at the Biosciences eastern and central Africa-International Livestock Research Institute (BecA-ILRI) Hub, is assessing the Brachiaria grass ecotypes in Tanzania and their morphological and genetic characterizations.


Mangesho collects morphological data (measuring culm thickness) of one Brachiaria ecotype. Standing is TALIRI Tanga field research assistant Salvatory Kavishe recording data

In addition to establishing the types of Brachiaria grasses in the country; Mangesho’s research aims to improve selected Brachiaria grass cultivars, which have high biomass production potential, are nutritive to livestock and resilient to climate change. His goal is to avail the improved Brachiaria varieties to smallholder farmers in Tanzania who will use them as feed to improve the productivity of their animals. ‘I am determined to work towards solving the major livestock challenges in Tanzania, which include a shortage of quality feeds,’ he said

His research, which started in Dodoma, has so far identified and collected 142 Brachiaria ecotypes from 10 regions of Tanzania. These ecotypes are now maintained in a field at TALIRI in Tanga, Tanzania. All the ecotypes were characterized for morphological characteristics and genetic diversity. A subset of the ecotypes with superior phenotypes have been selected and are currently being multiplied for further evaluation.

‘While at the BecA-ILRI Hub, I worked with a team of highly-qualified researchers, mentors and trainers who helped me in molecular biology and genomics research that I had no prior experience with. They strengthened my morphological data collection skills,’ Mangesho remembers of his time as an ABCF fellow at BecA-ILRI Hub.


Mangesho trains on DNA extraction at BecA-ILRI Hub

He was supervised by BecA-ILRI Hub’s Sita Ghimire, Cathrine Ziyomo and Nasser Yao. Jonas Kizima from TALIRI and Angelo Mwilawa from Ministry of Livestock and Fisheries, Tanzania also supervised his genomic and morphological data collection while at the hub.

‘I hope to start multi-location trials in December 2020, once the Brachiaria cultivars are ready,’ remarks Mangesho about his next plans for the near future.

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Africa Biosciences Challenge Fund fellow conducts inventive goat genetic diversity research in DR Congo

Goats are among the most common farm animals in developing countries. Africa is home to about 35% of the world’s goat population (FAO 2016). They play an important socio-economic, nutritional and cultural role in rural households. An important indicator of goats’ adaptation to environmental conditions is their reproductive efficiency.

DR Congo has three major agro-ecological zones: the alluvial basin in the northeast and the central part; savannah in the central, western and the southeast; and the high-altitude volcanic mountains in the east of the country. More than 4,082,624 indigenous goats are spread throughout these agro-ecological zones.


Herd of goats

In the Democratic Republic of Congo, goats are the second most domesticated species after chicken. Goats make up between 30% and 60% of the country’s total livestock numbers. The country hosts three major breeds: the small goat, dwarf goat and Kasai goat. Congolese goat farmers raise and breed goats for meat production and commercial transactions, contributing up to 72% of households’ income in rural areas in the country. The productivity of African’s indigenous goats is low, and little is documented on the genetic diversity, production system and distribution of goats in DR Congo.

Patrick Baenyi, an Africa Biosciences Challenge Fund (ABCF) fellow from the Evangelical University in Africa, DR Congo, undertook a survey on 202 goat farmers in the country to identify typology, production management and critical traits considered in goat selection by farmers in three agro-ecological zones — South Kivu, Tshopo and Kinshasa. In his pioneering research, he collected phenotypic data and used phenotypic and molecular markers, that are the basis for animal genetic diversity studies, to characterize goat genetic resources.

The survey revealed that goats in the three zones were clustered into breed clusters, grouped into small goat and dwarf goat, mostly characterized by a black coat colour and curved horn. The clusters were further distinguished by their reproductive traits (i.e. the number of kids per gestation period, such as twins or triplets) and the total number of kids per goat’s lifespan.


Baenyi and a member of his team collect a blood sample from a goat in Tshopo, DR Congo

Baenyi’s study was an important first step towards goat breeding in the country and aids decision-making on goat genetics improvement in the country. Its findings suggest that molecular characterization by sequencing and genotyping should be considered by animal breeders to clarify the physical differences in goat breeds that were observed and to identify whether these differences are genetic or adapted from environmental influence. A good understanding of this genetic characterization is useful in designing effective strategies for managing, improving and conserving domesticated animal resources.

‘Working with the Biosciences eastern and central Africa-International Livestock Research Institute (BecA-ILRI) Hub reinforced my skills in conducting genetics research and showed me the value of collaborating with other researchers and sharing my findings with the public. I was also trained in bioinformatics and proposal writing and I have continued with the invaluable mentorship relationships that started during my time at the hub,’

says Baenyi.

He is currently working under the supervision of ILRI’s Roger Pelle and his and is studying for his PhD in animal genetics and breeding at the University of Nairobi.

Paul with his supervisors at Brachiaria experimental plots at Garoua, North region of Cameroon

Ko Awono promises to improve Brachiaria grass production and marketing to secure farmers’ livelihoods in Cameroon

Cameroon, like other African countries, relies on agriculture as a main economic activity with livestock employing at least 30% of the country’s rural population. The livestock sector in Cameroon is crucial to its economic growth, food and nutrition security, and job creation. Forages of African origin, such as Brachiaria have been instrumental in the transformation of the livestock sector in many parts of the world including tropical America, Australia and East Asia. But the potential of native forages to alleviate livestock feed shortage in Africa has been little explored.

In 2012, the Biosciences eastern and central Africa-International Livestock Research Institute (BecA-ILRI) Hub started the ‘Climate-smart Brachiaria Program’ in partnership with the National Agricultural Research Systems (NARS) and development partners in sub-Saharan Africa. This program aims to increase livestock productivity in the region by providing high-quality and climate-resilient Brachiaria grass.

Paul Ko Awono, an Africa Biosciences Challenge Fund (ABCF) fellow at BecA-ILRI Hub from the Institute of Agricultural Research for Development (IRAD) in Cameroon, is researching how to improve Brachiaria seed production technology in Africa. His study, which is supervised by Sita Ghimire and Kingsley Etchu from BecA-ILRI Hub and IRAD, involves collecting information about Brachiaria seed production systems in the North and Adamawa regions of Cameroon, evaluating agronomic performances of Brachiaria landraces and improved cultivars, and examining the quality of Brachiaria seeds produced by farmers in the country. In Cameroon, Brachiaria seed is often traded as a cash crop and is a source of income for many farmers.

So far, Ko Awono’s research has revealed that the size of the farmlands dedicated to Brachiaria production are smaller (0.25 to 0.5 ha) in the North region compared to those in the Adamawa region (1 to 15 ha). His research also shows that Brachiaria seed yield is low in both regions (≤ 300 kg/ha). Major constraints on Brachiaria production in both regions include weed infestation, wandering animals and lack of market for Brachiaria seeds. Additionally, he has found that Brachiaria landraces mature earlier and are better adapted to harsh environmental conditions than improved cultivars. His research has also uncovered that Brachiaria seeds samples produced by farmers in the two regions are of variable qualities (poor to excellent) and some seeds samples are superior for germination than the improved cultivars.


Paul (middle) with his supervisors at Brachiaria experimental plots at Garoua, North Cameroon

Paul’s research revealed that the size of the farmlands dedicated to Brachiaria production by a farmer were smaller (0.25 to 0.5 ha) in the North region as compared to Adamawa region (1 to 15 ha). His research also indicated that Brachiaria seed yield was low in both regions (≤ 300 kg/ha) and the major constraints of Brachiaria production in both regions were weed infestation, wandering animals, and lack of market for Brachiaria seeds. Additionally, Brachiaria landraces were earlier in maturity and were better adapted to harsh environmental conditions than improved cultivars. His research also uncovered that Brachiaria seeds samples produced by farmers in North and Adamawa region were of variable qualities (poor to excellent) and some seeds samples were superior for germination than improved seeds.  

Ko Awono recognizes the role of the ABCF fellowship, which he received in 2019, has played in his work as a forage researcher. ‘It gave me several opportunities: I learnt how to write research proposals, set up agronomic trials, and collect, analyse, and interpret data.’ He also learned several techniques related to seed quality determination in the laboratory and greenhouse settings.  ‘The training and mentorship I received at BecA-ILRI Hub has played a key role in my work. It helped me to improve my scientific skills, which has made me a better researcher. ‘I am using the skills and knowledge I gained to help Cameroonian farmers increase the quality and quantity of Brachiaria seeds, which will improve their livestock production, incomes and livelihoods,’ he concludes.

How to make ICT work for agriculture in Africa

By Wokorach Godfrey, PhD student, Gulu University and research fellow at the Biosciences eastern and central Africa-International Livestock Research Institute (BecA-ILRI) Hub

Wokorach-AgshareAgricultural production is a key driver of economic growth for most of sub-Saharan Africa. It has the potential to boost economic development by improving food and nutritional security, providing employment to youth, promoting trade and generally improving livelihoods.

Agriculture under siege

However, this ‘goose that lays the golden eggs’ is plagued with challenges ranging from diseases, parasites, pests, drought, post-harvest losses and lack of access to markets. As such, many countries have experienced a decline, rather than increase in agricultural production and revenues associated with sale of agricultural products over the years.

Some of the problems can simply be addressed by educating farmers on good farming practices. Other challenges are solved through research and implementing of research findings. This requires transfer of knowledge, skills and technologies generated through research, to the farmers, often hampered by a disconnect between the farmer and the scientist.

Through the use of ICT, the distance between scientists globally is being bridged. The ability to share information and work collaboratively on virtual platforms has been made possible by online platforms specially designed to drive these conversations. Among such platforms that I have used are Agshare.Today and Yammer, which have been adapted to co-ordinate root and tuber crops, viruses and vectors research. The platforms connect scientists from different countries working on similar projects and enables them to share information they generate, get access to information they need, safely store research data and communicate their findings.

However, there is an urgent need to speed up the flow of information from researchers or extension workers to farmers and vice versa. A common platform that brings together farmers, scientists, extension officers, traders and other players in agriculture would narrow the existing gaps and potentially increase uptake of new technologies.

ICT to the rescue?

The relative affordability of mobile phones and the improving telecommunications networks in rural Africa have already resulted in evident economic benefits and mass social mobilization. The same technology availing access to vast databases by individuals seeking or sharing information on diverse topics like health, politics, news, markets and agriculture can be applied more effectively to get conversations going between farmers and scientists.

An agriculture-telecentre could facilitate information and knowledge sharing among farmers and the various groups of scientists and development specialists working to improve agricultural production. The platform could be used not only to transmit research findings, but also to receive information from farmers.

The existing technologies could be better applied to areas like disease and pest management, where detailed information such as number of affected plants, radius within which the problem occurs and severity of symptoms along with pictures from farmers, can support experts in assessing the severity of an outbreak and providing possible solutions. Additionally, extension services can relay information on where farmers can easily access the relevant agro-inputs like pesticides, fungicides and how to mix and apply these products.

I envision agriculture-telecentres being used as tools for surveillance of crop and livestock diseases, market information, weather patterns, and production trends of individual farmers. In this way, ICT can be used to overcome challenges associated with limited agricultural extension services, a scenario that is common in many rural areas of sub-Saharan Africa.

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