Data for: Spread and impact of fall armyworm (Spodoptera frugiperda J.E. Smith) in maize production areas of Kenya

Published: 31 March 2020| Version 1 | DOI: 10.17632/yhgyswdbtp.1
Contributors:
Hugo De Groote,
,
,

Description

Data were collected during a community survey in 2018. The survey was designed to mirror the maize lethal necrosis (MLN) survey of 2013 (De Groote et al., 2016). Thus, the same 121 communities that were interviewed in 2013 were targeted. These communities were randomly selected to represent the six main maize production areas in Kenya. The main purpose of the community survey was to assess farmer prioritization of various stresses and to measure the impact of these for the Stress Tolerant Maize for Africa (STMA) project. Prioritization is especially important due to the arrival of new pest problems, in particular the larger grain borer (LGB), MLN disease and the current fall armyworm (FAW). Data were collected through focus group discussions (FGDs). CIMMYT contracted Agri-Food Economics Africa, a research company based in Kenya, to undertake the study. Since the community survey dealt with biotic and abiotic stresses, it was important to have pictures that represented the various biotic stresses (insect pests and diseases) so that the farmers could recognize the specific pest that they were being asked about. In addition, the photos were important in helping to gauge farmers’ awareness of the fall armyworm. CIMMYT entomologists assisted in gathering these pictures and in refining the descriptions of the various stresses. The data contain the identification and location variables for the communities, including administrative units, GPS, agroecological zone. Next, observations on FAW are included, in particular when FAW was first observed, the number of farmers affected, the relative crop loss (%) of those affected and over all farmers, and this for the last three seasons. Finally, the number of male and female participants are included.   Variable name Variable label cid Community Identification number AEZ Agroecological zones, codes county County name subcounty District name division Division name location Location name village Village name Fawobsrve_1st_comm Year FAW first observed faw_obs_mar18_comm Was FAW observed during March 2018 planting season in this community? faw_obs_oct17_comm Was FAW observed during Oct 2017 planting season in this community? faw_obs_mar17_comm Was FAW observed during March 2017 planting season in this community? faw_affctd2018_comm Percentage of affected farmers in the community March 18 planting sea faw_ydrd2018_comm Yield reduction farmers affected March 18 planting season faw_affctd_oct2017_comm Percentage of affected farmers in the community October 2017 planting faw_affctd_march2017_comm Percentage of affected farmers in the community March 2017 planting s faw_ydrd_march2017_comm Yield reduction farmers affected March 2017 planting season faw_ydrd_oct2017_comm Yield reduction farmers affected October2017 planting season Yield_lossM2018 Yield loss March 2018 Yield_lossMoct2017 Yield loss Oct 2017 Yield_lossMarch2017 Yield loss March 2017 total_part Total number of participants

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