Display name Geoffrey Anyanda First name Geoffrey Last name Anyanda email@example.com Role Researcher Country Kenya Organisation CIMMYT-Kenya Area of Research Socio-economics and Impact Assessment Describe your research
Direct estimation of maize yield loss caused by fall armyworm using six CIMMYT genotypes in artificial and on natural infestation in major maize growing agro ecologies in Kenya. In addition, i conducted a trial on the life table of the fall armyworm in controlled conditions using the same genotypes as natural diet for the larvae as well as for the fecundity studies.
ORCID iD Google Scholar Link Member since July 15, 2020 Topics posted 8 Replies 10
Can socio-economic and agro-ecological data be used to estimate food insecurity levels across house-holds in SSA as a function of exposure to FAW invasion risk, and vulnerability and lack of coping strategies among the exposed populations ?
December 10, 2020
Hello Steve This argument remains valid, especially with the sudden arrival of a dramatic invasive pest like FAW. The discussion can only be settled through a rigorous comparison of field trials with farmer estimates, preferably both with individual farmers and through community surveys.
January 8, 2021
The potential impact on the budding private seed sector in many countries in SSA further drag on attainment of the 2030 Agenda for Sustainable Development Goals, particularly of zero hunger, no poverty. Maize is attacked by FAW at virtually all the phenological stages of the maize thereby causing severe losses when the whorl is destroyed. At the later phenological stages larvae also feeds on the tassels, burrow into the cobs and destroy the kernels, as well as expose the cob to infection by microorganisms including the mycotoxin producing fungi. Such cobs are 100% lost as they become non-harvestable. Damage to maize seed production fields does not only affect the availability of seed to farmers in the following growing seasons but also becomes an additional barrier to the economic viability of the emerging private seed sector. A typical example would be on international trade , following establishment of FAW in Africa, the EU instigated emergency measures requiring strict phytosanitary controls in exporting countries to reduce the risk of the pest reaching Europe. I hope this answers your question.
January 8, 2021
Hello @berice-imbayi thank you for your question.
- Yes its possible to estimate yield loss caused by FAW in regions where regional statistics are unavailable . See this paper https://www.researchgate.net/publication/338500902_Spread_and_impact_of_fall_armyworm_Spodoptera_frugiperda_JE_Smith_in_maize_production_areas_of_Kenya.
- In open field screening its not easy to have good control plots since pest occurrences are infrequent. Its would be advisable to collect all pests during harvesting and calculate the population density of each the pests. The population density would clearly show which pest had an impact on the yield. When choosing site location, FAW hotspots would be recommended.
- The action threshold level can be calculated by fitting regression equation Y = a + bx between the FAW population density and benefit cost ratio .Pest density corresponding to unit benefit cost ratio would be the economic injury level and the economic threshold levels set at 75% of EIL .Weekly economic injury levels can also be calculated from a formula : E = C/PDK, where C is the cost per hectare of an insecticide application, P is the market price of maize, D is the loss in yield per hectare at 100% infestation, and K is the reduction in pest attack achieved by control.
December 17, 2020
Hello Steve Thank for this question. Well a range of studies have estimated yield loss caused by FAW in Africa. Kumela et al. (2018) reported a yield loss of 47% in Kenya based on farmers perceptions. A recent study in Kenya reported 34% yield loss caused by FAW in the long rains of 2017 and 32% in both the short rains of 2017 and long rains of 2018 using community surveys (De Groote et al., 2020). Actual experimental yield loss are usually very infrequent due to pest occurrences and also establishing good control plots as you mentioned. However, CIMMYT-Kenya is currently working on the first Country-wide yield loss assessment caused by FAW. This results are expected to be out by the end of the year.
December 11, 2020
Can augmentative releases of T. remus and T. chilonis in Africa effectively control the damage caused by FAW as compared to the full control ? In latin Latin America T. remus in maize fields showed 90% parasitism.
December 8, 2020
The assessment of yield loss associated to FAW is crucial for sustainable management option in Nepal. Extension of knowledge on the identification of this pest is Key. Thank you for sharing this @ruchita-bhattarai .
December 7, 2020
Hello Pearson To my knowledge this is the first time, monitoring network comprising of radar, pheromone traps, machine learning and decision support apps have been established in SSA. This is impressive work, it provides a baseline for adoption and a more realistic development of digital monitoring in SSA.
December 1, 2020
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