African Journal of
Plant Science

  • Abbreviation: Afr. J. Plant Sci.
  • Language: English
  • ISSN: 1996-0824
  • DOI: 10.5897/AJPS
  • Start Year: 2007
  • Published Articles: 761

Full Length Research Paper

Occurrence, distribution and severity of finger millet blast caused by Magnaporthe oryzae in Kenya

Margaret Odeph
  • Margaret Odeph
  • Institute for Biotechnology Research, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
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Wycliffe Wanjala Luasi
  • Wycliffe Wanjala Luasi
  • Department of Biochemistry, Microbiology and Biotechnology, Kenyatta University, Nairobi, Kenya.
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Agnes Kavoo
  • Agnes Kavoo
  • Department of Horticulture, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
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Cecilia Mweu
  • Cecilia Mweu
  • Institute for Biotechnology Research, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
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Matthew Ngugi
  • Matthew Ngugi
  • Department of Horticulture, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
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Fredah Maina
  • Fredah Maina
  • Kenya Agricultural and Livestock Research Organization, Nairobi, Kenya.
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Naomi Nzilani
  • Naomi Nzilani
  • Department of Horticulture, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
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Wilton Mwema Mbinda
  • Wilton Mwema Mbinda
  • Department of Biochemistry and Biotechnology, Pwani University, Kilifi, Kenya.
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Desta Bekele
  • Desta Bekele
  • Ethiopian Institute of Agricultural Research, Assosa Agricultural Research Center, Assosa, Ethiopia.
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Girma Abera
  • Girma Abera
  • School of Plant and Horticulture Science, College of Agriculture, Hawassa University, Hawassa, Ethiopia.
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Amsalu Gobena
  • Amsalu Gobena
  • School of Plant and Horticulture Science, College of Agriculture, Hawassa University, Hawassa, Ethiopia.
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  •  Received: 30 January 2020
  •  Accepted: 03 April 2020
  •  Published: 30 April 2020


Finger millet is a food crop that provides nutritional security and is climatically resilient for farming and agricultural diversification. However, its quality and yield remain low due to biotic and abiotic factors, the greatest of which is blast disease caused by Magnaporthe oryzae. We surveyed the occurrence, distribution and severity of finger millet blast in five counties, namely, Busia, Bungoma, Kisii, Machakos and Makueni, in Kenya. Blast disease occurrence was determined by observing disease symptoms of different plant parts on each farm, and symptoms were recorded as either present or absent. Severity was evaluated based on the disease symptoms on plant fingers, leaves and necks and generally at the whole farm scale. Distribution was assessed based on the number of farms sampled for blast per county, and global positioning systems coordinates were recorded. Blast occurrence was 100%, with a uniform distribution pattern on all the farms surveyed across all the counties. Busia County had the highest disease severity at 82.3%, while Makueni had the lowest severity at 61%. Pearson’s correlation test revealed no statistically significant correlation between blast severity and plant parts infected (p< 0.05), with Busia (74.2%) having the highest number of plants showing symptoms of blast on fingers, followed by Bungoma (57.1%), Makueni (57%), Machakos (56%) and Kisii, 53.3%. This study reveals that finger millet blast is rampant in all the counties surveyed and is widely distributed in Kenya. This information is helpful in understanding the geographical distribution, occurrence and severity of M. oryzae.


Key words: Finger millet blast, occurrence, severity, distribution, Magnaporthe oryzae.



Crop transformation and diversification are an ideal mechanism  for  transforming  agriculture  from   a  stable system to a more useful system. At present, the area under   which  some  cereal  crops  such  as  finger  millet
[Eleusinecoracana (L.)Gaertn.] are cultivated is rapidly declining; yet this crop plays a significant role in meeting both the dietary and economic needs of most subsistence farmers living in arid and semiarid areas in sub-Saharan Africa and Asia (Babu, 2011). In addition, this traditional food crop acts as an important plant genetic resource for agriculture that provides a resource for food-security deprived farmers living in such areas (Lata, 2015). Fingermillet is an excellent source of minerals and nutrients such as methionine, iron and calcium (Patro et al., 2018)that are especially useful to expectant women, nursing mothers and children(Manyasa et al., 2019). Despite its importance as a staple crop, finger millet production is still low compared with that of other cereals. Globally, the production of finger millet accounts for a minimal 30.73 million tonnesof millet; 37% of which is produced by India. Among other small millets, finger millet production only accounts for 11%. In India, finger millet production accounts for an estimated 81% of millet production with an annual production turnover of approximately 2.78 tons (Babu, 2011; Sakamma et al., 2018). Among the main finger millet growing regions in India, Karnataka State is the leading producer of finger millet, but this production only accounts for 58% of the global production. Despite this scenario, only a few Indians are aware of its health benefits and nutritional value (Chandra et al., 2016). In East Africa, cultivation of this crop accounts for more than 50% of the area of small millet, which only reflects a 25% increase over 30 years within the region. This expansion,though minimal, is due to increased domestic demand, improved regional trade and increased market prices in comparison to those of other cereals (Manyasa et al., 2019). Studies in East Africa have shown that finger millet is grown on over 800,000 ha; 470,000 ha in Uganda, 350,000 ha in Tanzania, and 77,890 ha in Kenya (Mwema et al., 2013). In Kenya, this crop is mainly grown in low input subsistence systems on 0.5 to 1 ha farms, with western regions being the highest producers of this crop. Having been replaced by maize in the 20th century finger millet is perceived more like the “poor–man-crop” or ‘birdseedthus it is not a priority crop for most of the farmers (Handschuch and Wollni, 2016).
Finger millet crop production and productivity are impeded by both abiotic and biotic factors such as drought, high temperatures, nutrient stress, declines in land fertility, high labor requirements for weeding and low-yielding disease-susceptible varieties (Saha et al., 2016). Insects also damage this grain only slightly due to the minute size of the seed, but birds and striga weed pose significant threats(Mgonja et al., 2007). However, worldwide, blast disease caused by M. oryzaeis the major biotic constraint that affects finger millet production and productivity, leading to low grain quality and poor yields. The disease was first reported in Asia more than 3,000 years ago, and it has now spread to several countries across  the  globe.  This  disease  is  highly  adaptable  to different environmental conditions, such as irrigated lowlands, rain-fed uplands or even deep water rice paddies (Srivastava et al., 2014). Substantialyield losses have frequently occurred due to this blast fungus since it infects different parts of the plants. Extensive damage to the aerial parts of plants, especially the panicle, leading to withered or blasted finger, neck and head portions of the crop have been observed. This greatly lowers the positive agronomic traits exhibited by thecropeventually causing losses of  between 28-36% whereas in endemic areas this could rise up-to 80-90% (Ramakrishnan et al., 2016)
This situation is worsened by the fact that M. oryzae is able to produce mycelia on infected living leaves or survive in dead plant debris in the soil for a long time. In addition,preexisting environmental conditions, such as high mean temperatures with relatively high humidity and damp leaves exacerbate this situation. Additionally, the presence of infected related weed hosts such as Eleusine indica, E. africana, Digitariaspp., Setaria spp. and Doctylocterium spp. may act as disease reservoirs for the next crop thus intensifying disease spread (Gashaw et al., 2014).On top of this, high amount of nitrogen content either in the plant or soil as a result of nitrogenous fertilizer application increases blast incidence thus predisposes the crop to blast infection.Disease incidence and severity are more intense during heavy rainy seasons and highly humid months than during the hot dry seasons (Onyango, 2016). Blast disease management involves practices such as plant quarantine, pathogen inoculum elimination and implementation of good agricultural practices that include intercropping, rotating crops, implementing good farm hygiene, understanding and fighting virulence mechanisms of pathogens, using biological control methods and using biotechnological techniques to improve plant performance. Chemical control methods are also employed but may be too expensive for poor farmers(Shittu, 2018).
Since the identification of blast disease in 1933 in Kenya, information on finger millet blast pathogen diversity and characteristics in East Africa has remained insufficient (Takan et al., 2012). Currently in Kenya, most of the studies have not provided a quantitative measurement of finger millet blast occurrence, distribution and severity, although blast disease has been established as the greatest constraint on finger millet production. These disease assessment techniques would be critical in determining the geographical distribution and disease status throughout the country to prioritize research. This study was therefore carried out with the aim of determining the occurrence, distribution and severity of finger millet blast caused by M. oryzae in five counties in Kenya. This knowledge will be a good resource for the determination of effective and sustainable disease management strategies, blast epidemiology and varietal selection procedures against blast for different geographic regions in Kenya.



Study area and survey methodology
A survey of finger millet blast disease was conducted in the five counties of Busia, Bungoma, Kisii, Machakos and Makueni in Kenya in May 2018 and February and June 2019. These counties represent some of the main finger millet growing areas. The location of each farm was recorded using a GPS device.
Sampling and survey methodology
Purposeful sampling was adopted, and both symptomatic and asymptomatic plants were collected. Finger millet crops were physically examined for the presence of diamond-shaped lesions on the leaves and neck, while a rusty brown appearance was observed on the finger. The finger millet samples collected included leaf, finger and neck, which were then stored in brown sugar bags to avoid contamination. Three plants were collected per farm: 1 asymptomatic plant and 2 severely infected plants at random. The number of farms sampled per county depended on the availability of finger millet.
Disease intensity was evaluated on the basis of occurrence, distribution and severity. Disease occurrence was based on the presence or absence of disease on the farms surveyed. Disease severity was based on the symptoms of blast on the plant parts (finger, leaf and neck) as well as disease symptoms spread on the whole farm. Disease severity data were recorded and scored as less severe (0-25%) = 1, moderately severe (30-60%) = 2 and very severe (70% and above) = 3. The identity of the M. oryzaewas determined using PCR. GPS data were used to determine farm locations and disease density per county.
Data analysis
Survey data were analyzed using the Pearson product-moment correlation coefficient with SPSS version 25 software (IBM Corp, NY, USA) to assess the extent of the statistical relationship between the linearly related variables using the following equation:


Farming practices
Finger millet farming practices across the five counties were somewhat similar. The crop was grown for subsistence where low-input cropping systems were utilized. The farms were mostly managed by female farmers,  with   the   highest  number  of  farmers  in  Kisii (77%), Busia (65%), Bungoma (61.5%) and Machakos, and Makuenihad the least number of farmers at 50% (Table 1).
Soil fertility was enhanced on most of the farms surveyed by farm yard manure with Busia and Machakos having the highest fertility at 90%, Bungoma and Makueniat85% and Kisiiwith the lowest fertility at 80%. A few farmers, however, used compost manure and inorganic fertilizers as well (Table 1). According to farmer interviews, organic fertilizers were applied prior to crop planting to avoid scorching. KisiiCounty had the highest percentage (92%) of farmers using seeds carried forward from the previous harvest, followed by that of Bungoma (Table 1). Machakos County had zero percentage carryover of seeds because the farms were undergoing a pilot research program from International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), so the seeds were supplied by the organization. The fields surveyed varied in size, but the majority of farms with finger millet crops were less than an acre (0.404 ha), as was observed during sampling.
Intercropping finger millet with other crops was a key cultural practice among the farmers in all the counties visited. The predominant crops used in intercropping were cereals such as maize, beans and cowpeas; fruits such as mangoes, oranges, guavas and pawpaw; and tubers such as cassava and sweet potatoes. Makueni County was the farm with the most intercropping at90% of the farms being intercropped with cereals, and Busia and Bungomahad the next highest about of farms with intercropping at 85%. Machakos had the least number of farms with intercropping at 60%. Farms intercropped with fruits were mainly in Makueni with 85% implementing intercropping and Machakos with 80% implementing intercropping and no intercropping in Kisii, Bungoma and Busia (Table 1). Farmers across the counties agreed thatthe reason for growing finger millet was mainly for food with 90% of the farmers in Kisii and Bungoma counties in agreement and 85% of the farmers in Machakos, Busia and Makueni in agreement. In addition, some farms in Busia, Bungoma and Kisii grew this crop for cultural reasons at 30, 10 and 10% of the farms, respectively (Table 1). With regard to soil fertility practices, farm yard manure application was the key method used by the farmers. Busia and Machakos had 90% of the farms using this method, followed by those in Makueni and Bungoma at 85% and Kisii at 80%. Inorganic fertilizer application was not a common practice across the counties with 10% of farms using inorganic fertilizer in Makueni and Kisii and 5% inMachakos, Bungoma and Kisii (Table 1).
Finger millet waste was fed to livestock, burnt, left on the farm to dry or placed in cowsheds. In Busia, 80% of the farmers fed waste to the animals; inBungoma, Kisii and Machakos 75% of the farmers implemented this practice; and in Makueni, 70% of thefarmers in Makueni implemented this practice. The amount of water burned in decreasing order per county was as follows: Kisii 18%, Bungoma and Makueni 10%, Busia and Machakos 5%. Most farmers across the counties also laid the waste in the livestock shed as follows: Busia 10%, Bungoma 10%, Machakos 10%, and Makueni 10%, while Kisii Countyhad the least number of farmers using this method. Most farmers across the counties left the waste on the farms to dry as a last resort. The percentage values of the farms using this method were as follows: Busia 5%, Bungoma 5%, Kisii 5% and Makueni 10%, and Machakos 10% (Table 1).
Blast disease occurrence and distribution
Finger millet blast disease occurred on all the farms visited in Busia, Machakos, Makueni, Bungoma and Kisii, representing a 100% disease occurrence on all the farms visited (Table 2). Finger millet blast disease was sampled from two main agroe-cological zones (western and eastern) represented by Bungoma, Busia, Kisii, Machakos and Makueni counties as shown in the spatial analytical map (Figure 1). According to the results of the surveyed areas, finger millet blast disease was distributed across all the counties surveyed. However, the density of disease distribution varied across the counties. In Busia and Bungoma counties, the farms were closely distributed; consequently, the disease distribution followed the same pattern. In Machakos and Makueni, the farms were far apart, and as a result, the disease also tended to follow a spatial distribution pattern. Although in Kisii County, the farms were fairly far apart, blast disease was present at a high density.
The distribution of diseased plants followed a uniform pattern on the farms visited across all the counties surveyed. However, in some farms that were intercropped with large fruit trees, more blast symptoms were observed than  those  on  other  farms.  In  addition, farms that were on the windward side had more blast symptoms than those that were on the leeward side. Regarding the plant parts infected, the fingers were more infected than the leaves and neck. The number of farms surveyed varied among the counties, with Busia having the highest number of farms sampled (>200), followed by Bungoma (13) and Kisii (13), Makueni (10) and Machakos (5) (Table 2).
Blast severity
Busiacounty recorded the highest finger millet blast severity (82.3%), based on the symptoms of the whole farm, followed by Bungoma and Machakos (67 and 66%, respectively), while Makueni had the lowest severity (61%) (Supplementary Material 1 and Figure 2). In terms of infected plant parts, Busia County also had the highest
 severity of infected fingers at 74.2%, neck at 37.7% and leaves at 17.1% (Supplementary material 1 and Figure 2). Pearson’s correlation test revealed a statistically significant correlation of whole farm finger millet blast disease symptoms between the counties surveyed (Table 3). A significant association (p< 0.01) existed between blast severity on a whole farm and severity on plant parts infected in the different counties surveyed. The whole farm blast severity symptoms were significantly higher in Busia than in Makueni. The blast disease symptoms were most severe in Busia but decreased across the counties with 67% in Bungoma, 66% in Machakos,  62.5%  in Kisii  and  61%  in  Makueni  (Supplementary Material 1).
Pearson’s correlation test also showed that blast severity was significantly associated with plant parts infected (p< 0.05) (Supplementary material 1). The blast disease symptoms on fingers decreased in severity across the counties, with Busia (74.2%) having the highest number of plants showing symptoms of blast on fingers, followed by Bungoma (57.1%) andMakueni (57%), Machakos (56%) and Kisii 53.3%. Within BusiaCounty, in comparison to other counties, Teso South sub-county had more farms with plants showing blast symptoms on fingers at 80%, Bunyalaat77.5% and Nambale at 66.7% (Table 2). In Bungoma,  Kanduyi  sub-county had the highest number of plants with blast symptoms on fingers (72%), Kabuchai (70%) and Webuye west (60%). In Kisii County, Nyaribarichache subcounty had the highest number of plants with blast symptoms on fingers at 66.7%, Bomachogechache at 62% and Bobasi at 60%. In MachakosCounty, Mwalasub-county had 66% of its plants with blast symptoms on the finger. In Makueni County, the Kibwezi East and Mbooni East sub-counties had the highest percentages, with 70% of plants showing symptoms of blast on fingers, Kibwezi West and Nzaui with 60%, Makueni with 56.7% and Kilome with 50% (Supplementary material 1).
Generally, there was a positive correlation among blast symptom severity on the whole farm and blast symptoms on the fingers of the crop on all the farms surveyed. On farms with higher blast disease symptoms on the whole farm, the fingers of the crop also showed a higher level of infection (0°08’50.2’’N 34001’56.4’’E Bunyala sub-county 90% severity on the whole farm and 80% severity on the fingers) compared with those on farms with lower percentages (0°54'09.4”S 34°53'08.2”EBobasi 40% severity on the whole farm and 40% severity on the fingers) (Supplementary material 1). The Pearson correlation tests further revealed a positive correlation (p<0.05) between finger blast severity and neck blast severity (Table 3). Plants with higher severity on the finger than on the other parts also had higher severity on the neck (Supplementary material 1). However, there was no correlation between severity on finger and severity on leaf.
There was a significant difference (p<0.01) in neck blast severity across the different counties surveyed. Similarly, there was a significant statistical correlation of neck blast severity with the different counties surveyed (Table3). Neck blast symptom severity decreased across the counties. Busia had the highest severity at 37.7%, Makueniat15%, Kisiiat14.6%, and Bungomaat13.6% and Machakosat 12% (Supplementary material 1). However, there was variation in the severity within the different sub-counties. Teso south had the highestseverityat40%, Bunyalaat37.7% and Nambale at 31.7% in Busia county. In Bungoma, Kabuchai sub-county had the highest at18.3%, Kanduyi at 16% and Webuye West at 11%. In Kisii, the Nyaribarichache subcounty had the highest neck severity, at 15%, BomachogeChacheat11% and Bobasiat9%. Mwala sub-county in Machakos had a severity of 12%. In Makueni, Mboonieast had the highest neck blast symptom severity at 50%,withNzauiat21%, Kibwezieast at 15%, Kibwezi west and Kilomeat10% each and Makueniat4.7% (Table 2). No significant correlation was found between neck blast symptom severity and leaf blast symptom severity.


The occurrence of finger millet on all the  farms  surveyed across different counties suggests that blast disease is highly prevalent in the main finger millet growing areas in Kenya. This scenario is consistent with the results of earlier studies by Oduori (2008)and Gashaw et al. (2014), who revealed that the disease was highly prevalent in Busia, Teso and Kisii districts, causing 10-80% yield losses in both Kenya and Uganda. Similarly,Owere (2013)showed that finger millet blast in Uganda is endemic to all finger millet growing areas with the disease severity being higher in some areas than in others depending on weather conditions.Zhang et al. (2016)have equally shown that blast disease is highly prevalent in areas where host plants are cultivated worldwide. Over 85 countries in both developing and developed nations have reported the incidence of blast especially on finger millet and rice: the key hosts for M. oryzae. Although the disease is widespread in all finger millet growing areas, farmers still have limited knowledge about it, thus posing a great challenge to management of the disease.
We observed that finger millet blast distribution varied from farm to farm and county to county. Based on these results, finger millet blast distribution was clustered into two main categories, densely and sparsely distributed. In the western agroe-cological zone (Busia, Bungoma and Kisii counties), the disease distribution was denser than that in the eastern zone (Machakos and Makueni counties), which exhibited a relatively sparse distribution. This observation could be attributed to the different farm management practices and agroclimatic conditions prevalent on the farms and/or counties. Onyango (2016)revealed that appropriate ecological requirements including adequate rainfall that is well distributed all through the year play a significant role in profiling blast disease distribution. Machakos and Makuenicounties are semiarid regions and thus receive lower annual rainfall amounts (830 and 834 mm, respectively) and have lower humidity levels than those inBusia (1691 mm), Bungoma (1628 mm) and Kisii (1922 mm). High rainfall conditions with higher humidity levels are favorable conditions for blast fungi survival. Another possibility for the increased blast disease distribution within the western agro-ecological zone could be related to the origin of the finger millet pathogen. M. oryzae populations that colonize finger millet and rice in sub-Saharan Africa have shown unique patterns of genetic diversity, mating-type distribution, fertility status and host compatibility. This pattern emulates the different histories and patterns of cultivation of these crops within East Africa (Takan et al., 2012).Shittu (2018)also confirmed that thefrequency of occurrence of M. oryzae isolates possessing the transposable DNA elements such as grhelement varied significantly due to difference in lineage. The study further revealed that the presence of these elements among the rice blasts isolates corresponded to gene flow between rice and other M. oryzae hosts. This has provided  good  knowledge  in  the  understanding  of  the population dynamic patterns of M. oryzae from different hosts. This is supported by earlier studies on the genetics of finger millet blast fungus which revealed a repetitive DNA element grasshopper (grh) only in populations of M. oryzae from finger millet in Japan, Nepal and India as well as some in West African countries (Viji et al., 2000; Tanaka et al., 2007). However, PCR analysis showed that some indigenous blast populations did not have this element and were unique from the Asian blast populations. The M. oryzae isolates that had the grh element were recent introductions, and most of the pathogen population in East Africa lacked the grh repeat element (Takan et al., 2012;Shittu, 2018). There is thus a high likelihood that the blast pathogen could have been an introduction through the western route possibly through cross-border transfer of finger millet seeds given that finger millet originated from Uganda and that Busia is a border point. This scenario could explain why Busia tends to have a higher disease distribution compared to that of the remaining regions. The presence of certain haplotypes in various locations within Kenya and Uganda further confirms that pathogen movement is highly likely linked to environmental human impacts (Lenne et al., 2007).Furthermore, the disease spread within the western region of Kenya could have occurred through the purchasing of seeds from the market and borrowing from neighbors.
Our results on blast disease severity also revealed that there were variations from farm to farm and county to county due to the different farm management practices and geographical and environmental conditions prevalent in each county. As with the blast disease distribution, severity also followed a similar trend, and the western agro-ecological zones had more farms with severe infections compared with those in the eastern zone. The surveyed farms in Busia County are between altitudes of approximately 1000-1300 m above sea level, with a mean temperature of 22°C. Thiscounty is a humid lower midland zone with well-drained soils that are suitable for agriculture. M. oryzae infestation tends to be more severe in this area because of high humidity conditions. Furthermore, because of the proximity of Busia to Uganda, there is the possibility of cross-border infection(Onziga, 2015). Bungoma (1200-1400 m above sea level) and Kisii (1500-1800 mabove sea level)have similar agroclimatic conditions to those of Busia County. Bungoma and Busia counties are within close proximity, so the chances of farmers sharing diseased seeds are higher. KisiiCounty may be further away, but the climatic conditions of Kisii, Bungoma and Busiaare similar. Besides Kisii county experiences cloudy skies with frequent rains and drizzles: conditions that allow dew accumulation on leaves for a longer period. Such conditions increase blast incidence thus predisposes the plant to blast infection. All three counties experience high humidity, which is a favorable condition for blast fungus to   thrive.   Moreover,   the   tropical   climate   favors  the accumulation of blast spores in the air throughout the year which favors continuous disease development (Onyango, 2016).
Machakos (1000-1600 m above sea level) and Makueni (1200-1600 m above sea level) counties are both semiarid regions experiencing low rainfall with low humidity. The extent of disease severity within the farms in these two counties was not substantially different from that in Kisii and Bungoma. In addition to climatic conditions, farm management practices also contributed to disease spread. Most finger millet farms in these two counties had large fruit trees surrounding the farms or near the finger millet farms. Such trees reduce the much needed light intensity and instead increase humidity within the farms, creating favorable microclimatic conditions for the blast pathogen. Whereas the essence of intercropping is to maximize supplementary resource utilization including canopy and root architecture, nutrient fixation and resource sharing on the other hand these can be at the detriment of the plant(Daryanto et al., 2020)as observed by the presence of the large fruit trees present in the finger millet farms.  According to Gashaw et al. (2014), presence of microclimatic conditions such as increased humidity due to large tree canopies in the farms predisposes the finger millet plants to blast infection. In addition, most of the farms were on the windward side so that when the wind blows, it facilitates the spread of the pathogen spores thus exposing more plants to blast infection.
Good farm management practice is a gateway to a good harvest and reduced disease infection rates(Meena et al., 2017). Some farmers, especially in Kisii, Makueni and Bungoma, employed appropriate management practices, such as proper spacing, crops rotation, enhancing soil fertility a few months before planting with organic fertilizer and timely weeding. On such farms, there was notably lower disease severity at the whole farm level. There is thus a need to train farmers on finger millet farm proper management techniques to minimize the severity of disease.


Finger millet blast caused by M. oryzae occurred throughout the counties in this study; thus, this pathogen is widely distributed in Kenya at high severity levels. However, both the distribution pattern and severity differed across the counties surveyed. The majority of farmers were not aware that blast infection is a disease. Thus, there is an urgent need to increase farmers’ awareness about blast disease. In addition, the development of an integrated disease management strategy that includes resistant varieties and good agronomic practices is needed to safeguard the livelihood of subsistence farmers in Kenya. We are currently performing genetic diversity of the fungi and the finger millet grown in the study areas to relate our results.


The authors have not declared any conflict of interests.



This research work was financed by the National Research Fund, Kenya (NRF). Special thanks to technical team and colleagues Institute for Biotechnology Research (IBR) and Botany Departments, JKUAT, Nairobi, Kenya.



Babu TK (2011). Epidemiology , virulence diversity and host-plant resistance in blast [ Magnaporthe grisea ( Hebert ) Barr .] of finger millet [Eleusine coracana ( L .) Gaertn .]. Acharya N.G Ranga Agricultural University, Rajendranagar, Hyderabad, India.


Chandra D, Chandra S, Pallavi, Sharma A (2016). Review of Finger millet (Eleusine coracana (L.) Gaertn): A power house of health benefiting nutrients. Food Science and Human Wellness5(3):149-155.


Daryanto S, Fu B, Zhao W, Wang S, Jacinthe P, Wang L (2020). Ecosystem service provision of grain legume and cereal intercropping in Africa. Agricultural Systems178.


Gashaw G, Alemu T, Tesfaye K (2014). Evaluation of disease incidence and severity and yield loss of finger millet varieties and mycelial growth inhibition of Pyricularia grisea isolates using biological antagonists and fungicides in vitro condition. Journal of Applied Bioscience 73: 5883-5901.


Handschuch C, Wollni M (2016). Improved production systems for traditional food crops: the case of finger millet in western Kenya. Food Security8(4):783-797.


Lata C (2015). Advances in omics for enhancing abiotic stress tolerance in millets. Proceedings of the Indian National Science Academy81(2):397-417.


Lenne JM, Takan J, Kaloki P, Wanyera N, Okwadi J, Muthumeenakshi S, Sreenivasaprasad S (2007). Finger millet blast disease management A key entry point for fighting East Africa. Outlook on Agriculture36(2):101-108.


Manyasa EO, Tongoona P, Shanahan P, Githiri S, Ojulong H, Njoroge SMC (2019). Exploiting Genetic Diversity for Blast Disease Resistance Sources in Finger Millet (Eleusine coracana). Plant Health Progress20(3):180-186.


Meena D, Chirag G, Patidar O, Ranvir S, Meena H, Vishwajit, Prakash G (2017). Management of Finger Millet based Cropping Systems for Sustainable Production. International Journal of Current Microbiology and Applied Sciences6(3):676-686.


Mgonja M, Lenné J, Manyasa E, Sreenivasaprasad S (2007). Finger Millet Blast Management in East Africa: Creating opportunities for improving production and utilization of finger millet. Proceedings of the First International Finger Millet Stakeholder Workshop, Projects R8030 & R8445 UK Department for International Development - Crop Protection Programme Held 13-14 September 2005 at Nairobi., 196 pp.


Mwema C, Orr A, Namazi S, Ongora D (2013). Harnessing Opportunities for Productivity Enhancement for Sorghum & Millets ( HOPE ): Baseline Survey, Tanzania. In ICRISAT-Socioeconomics Discussion Paper Series.


Oduori COA (2008). Breeding investigations of finger millet characterstics including blast disease and striga resistance in Western Kenya. PhD thesis, University of KwaZulu-Natal, South Africa.


Onyango AO (2016). Finger Millet : Food Security Crop in the Arid and Semi-Arid Lands (ASALs) of Kenya. World Environment6(2):62-70.


Onziga DI (2015). Characterizing the Genetic Diversity of Finger millet in Uganda. Makerere University.


Owere L (2013). Genetic studies on head architecture, adaptation and blast resistance of finger millet in Uganda. PhD thesis, University of KwaZulu Natal, South Africa.


Patro T, Meena A, Divya M, Anuradha N (2018). Evaluation of finger millet early and medium duration varieties against major diseases. International Journal of Chemical Studies6(3): 2184-2186.


Ramakrishnan M, Ceasar SA, Duraipandiyan V, Vinod KK, Kalpana K, Ignacimuthu S (2016). Tracing QTLs for Leaf Blast Resistance and Agronomic Performance of Finger Millet (Eleusine coracana ( L .) Gaertn .) Genotypes through Association Mapping and in silico Comparative Genomics Analyses. PLOS One 1-23.


Saha D, Gowda M, Arya L, Verma M, Bansal K (2016). Genetic and Genomic Resources of Small Millets. Critical Reviews in Plant Sciences35(1):56-79.


Sakamma S, Umesh K, Girish M, Ravi S, Satishkumar M, Bellundagi V (2018). Finger Millet (Eleusine coracana L. Gaertn.) Production System: Status, Potential, Constraints and Implications for Improving Small Farmer's Welfare. Journal of Agricultural Science10(1).


Shittu T (2018). Pathogen Magnaporthe oryzae in Eastern Africa Population Analysis of the Finger Millet Blast Pathogen Magnaporthe oryzae in Eastern Africa.PhD theis, Universityof Bedfordshire, United kinddom.


Srivastava D, Kumar D, Pandey P, Khan NA, Singh KN (2014). Morphological and Molecular Characterization of Pyricularia Oryzae Causing Blast Disease in Rice (Oryza Sativa) from North India. 4(7):1-9.


Takan JP, Chipili J, Muthumeenakshi S, Talbot NJ, Manyasa EO, Bandyopadhyay R, Sreenivasaprasad S (2012). Magnaporthe oryzae populations adapted to finger millet and rice exhibit distinctive patterns of genetic diversity, sexuality and host interaction. Molecular Biotechnology50(2):145-158.


Tanaka M, Nakayashiki H, Tosa Y, Mayama S (2007). The course of evolution of Magnaporthe oryzae Eleusine patho-type inferred from phylogenetic trees and structures of the flanking region of avirulence gene PWL1. Asilomar-Fungal Genetics Conference, 54.


Viji G, Gnanamanickam SS, Levy M (2000). DNA polymorphisms of isolates of Magnaporthe grisea from India that are pathogenic to finger millet and rice. Mycological Research104(2):161-167.


Zhang H, Zheng X, Zhang Z (2016). The Magnaporthe grisea species complex and plant pathogenesis. Molecular Plant Pathology17(6):796-804.