Welcome to the International Institute of Tropical Agriculture Research Repository
What would you like to view today?
Selected shade tree species improved cocoa yields in low-input agroforestry systems in Ghana
View/ Open
Date
2022-10Author
Asitoakor, B.K.
Vaast, P.
Raebild, A.
Ravn, H.P.
Eziah, V.Y.
Owusu, K.
Mensah, E.O.
Asare, R.
Type
Review Status
Peer ReviewTarget Audience
Scientists
Metadata
Show full item recordAbstract/Description
CONTEXT Cocoa agroforestry systems differ in the diversity of shade tree species composition. Though cocoa benefits from shade, there is a lack of species-specific information on shade trees that enhance soil fertility and yield. OBJECTIVE We examined how soil characteristics and cocoa yield were affected by eight commonly retained forest tree species, compared with unshaded control plots over a 3-year period. METHODS Using 74 circular plots from 10 cocoa farms in the Western region of Ghana, we sampled soils from two random points within each plot. Soil nutrients at the beginning and end of the study were analyzed, and yield was expressed as number of harvested pods and dry weight of beans per hectare. RESULTS AND CONCLUSIONS Levels of soil K and Ca were below recommended values. Although soil available phosphorus (P) was higher in control plots than under shade trees, yield around shade trees were higher than on unshaded plots. Cocoa yield differences between shade tree species and control plots were significant only in the major crop season, but not in the minor crop season. Cocoa yields under Cedrela odorata, Khaya ivorensis, Terminalia superba and Milicia excelsa were significantly higher than on control plots. Hence, the inclusion of specific shade tree species in cocoa agroforestry systems is important to maintain high yields in cocoa systems with low inputs. SIGNIFICANCE To our knowledge, this study presents one of the first attempt to assess the impacts of specific shade tree species on soil characteristics and cocoa yield.
https://dx.doi.org/10.1016/j.agsy.2022.103476
Multi standard citation
Permanent link to this item
https://hdl.handle.net/20.500.12478/7737IITA Authors ORCID
Richard Asarehttps://orcid.org/0000-0001-6798-7821
Digital Object Identifier (DOI)
https://dx.doi.org/10.1016/j.agsy.2022.103476