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 12 Replies 16
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
Thank you @anne-njoroge
February 15, 2021
This is very interesting .Thank you @sandra-garces
February 11, 2021
Thank you @marckenis
February 1, 2021
In Kenya, 63% of women contribute to labor for weeding and 52% for harvesting as reported by Kassie in 2014. Recent paper by Hugo De Groote, women had more knowledge about fall armyworm, since they are more involved in farming management especially during vegetative stages where damage is more visible. See here : https://www.sciencedirect.com/science/article/abs/pii/S0305750X13002374# https://www.researchgate.net/publication/338500902_Spread_and_impact_of_fall_armyworm_Spodoptera_frugiperda_JE_Smith_in_maize_production_areas_of_Kenya
January 21, 2021
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
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