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    The cocoa yield gap in Ghana: a quantification and an analysis of factors that could narrow the gap

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    Journal Article (4.747Mb)
    Date
    2022-08
    Author
    Asante, P.A.
    Rahn, E.
    Zuidema, P.A.
    Rozendaal, D.M.A.
    van der Baan, M.E.G.
    Laderach, P.
    Asare, R.
    Cryer, N.
    Anten, N.P.R.
    Type
    Journal Article
    Review Status
    Peer Review
    Target Audience
    Scientists
    Metadata
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    Abstract/Description
    CONTEXT Global cocoa production is largely concentrated in West Africa where over 70% of cocoa is produced. Here, cocoa farming is largely a rain-fed, low-input system with low average yields, which are expected to decline with climate change. With increasing demand, there is a need to evaluate opportunities to increase production whilst avoiding deforestation and expansion to croplands. Thus, it is important to know how much additional cocoa can be produced on existing farmland, and what factors determine this potential for increased yield. OBJECTIVE The objective was to quantify the cocoa yield gap in Ghana and identify the factors that can contribute to narrowing the gap. METHODS We calculated the cocoa yield gap as the difference between potential yield (i. water-limited potential(Yw) quantified using a crop model, ii. attainable yield in high-input systems(YE), iii. attainable yield in low-input systems(YF)) and actual farmer yield. Both absolute and relative yield gaps were calculated. We then related each yield gap (absolute & relative) as a function of environment and management variables using mixed-effects models. RESULTS AND CONCLUSIONS There were considerable yield gaps on all cocoa farms. Maximum water-limited yield gaps (YGW) were very large with a mean absolute gap of 4577 kg/ha representing 86% of Yw. Attainable yield gap in high-input (YGE) was lower with mean absolute gap of 1930 kg/ha representing 73% of YE. The yield gap in low-input (YGF) was even lower with mean absolute gap of 469 kg/ha representing 42% of YF. Mixed-effects models showed that, absolute YGW were larger at sites with higher precipitation in the minor wet and minimum temperature in the minor dry season explaining 22% of the variability in YGW. These same factors and cocoa planting density explained 28% of variability in absolute YGE. Regardless of climate, absolute YGF and relative YGW, YGE and YGF were reduced by increasing cocoa planting density and application of fungicide against black pod. The models explained 25% of the variability in absolute YGF, and 33%, 33% and 25% in relative YGW, YGE and YGF respectively. In conclusion, climate determined absolute YGW in Ghana whilst absolute YGE were determined by both climate and management. In contrast, absolute YGF and relative YGW, YGE and YGF can be reduced by agronomic management practices. SIGNIFICANCE Our study is one of the first to quantify cocoa yield gaps in West Africa and shows that these can be closed by improved agronomic practices.
    https://dx.doi.org/10.1016/j.agsy.2022.103473
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/7744
    IITA Authors ORCID
    Richard Asarehttps://orcid.org/0000-0001-6798-7821
    Digital Object Identifier (DOI)
    https://dx.doi.org/10.1016/j.agsy.2022.103473
    Research Themes
    Natural Resource Management
    IITA Subjects
    Agronomy; Biodiversity; Climate Change; Cocoa; Disease Control; Farming Systems; Livelihoods; Plant Breeding; Plant Production
    Agrovoc Terms
    Cocoa; Theobroma Cacao; Yields; Spacing; Ghana
    Regions
    Africa; West Africa
    Countries
    Ghana
    Hubs
    Headquarters and Western Africa Hub
    Journals
    Agricultural Systems
    Collections
    • Journal and Journal Articles4835
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