dc.contributor.author | Ojung’a, Berryl Atieno | |
dc.contributor.author | Mutavi, Irene Nzisa | |
dc.contributor.author | Masika, Denis | |
dc.date.accessioned | 2023-11-15T18:11:42Z | |
dc.date.available | 2023-11-15T18:11:42Z | |
dc.date.issued | 2023-09-15 | |
dc.identifier.issn | 2707-4293 (print) | |
dc.identifier.issn | 2707-4307(electronic) | |
dc.identifier.uri | https://repository.maseno.ac.ke/handle/123456789/5852 | |
dc.description | https://doi.org/10.37284/eajab.6.1.1436 | en_US |
dc.description.abstract | Dykes minimise flood risks among riparian communities. In Nyando basin,
Kenya, dykes were constructed to minimise flood impacts on human activities in
the riparian plains. The dyke characteristics could change the rate of silting. In
spite of these dynamics, some farmers now use fertilisers as a new way of coping
with nutrient deficiency. Several researches have been done in Kenya on the
effects of floods on human activities; however, there is no clear link between dyke
characteristics like period of existence, length and height and their influence on
food crop production. The dykes in Nyando have reduced floods in the region;
however, it is not clearly understood how the dyke characteristics influence the
food crop. Therefore, the purpose of this study was to examine the influence of
dyke characteristics on food crop production. Planning Theory was used.
Descriptive cross-sectional research design applied. The target population stood
at 34,460 households. At least 384 Household heads were recruited via simple
random sampling and a questionnaire administered, while purposive sampling was
useful in identifying relevant experts in the field of study. Primary data was
obtained by interviewing key informants and focused group discussions. Other
tools include observation and photography. Secondary data was obtained from
publications and print media, and SPSS was utilised in data analysis. Qualitative
data was analysed by coding and organisation of data into themes and sub-themes
where generalisation was made. The results from the multiple coefficients of
determination (R2
) indicated that 45.4% (R2 = .454, p = .039) of the variation in
the general crop yield was explainable by the combined change in Dyke
Characteristics. The dykes’ characteristics significantly influenced crop
production. | en_US |
dc.publisher | EAST AFRICAN NATURE & SCIENCE ORGANIZATION | en_US |
dc.subject | Floods, Food Crop Production, Climate Change Adaptation, Rivers, and Agriculture. | en_US |
dc.title | Influence of Dykes’ Characteristics on Food Crop Production in Lower River Nyando Basin, Kenya | en_US |
dc.type | Article | en_US |