Journal Article

FZJ-2020-03244

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Monitoring and Modelling Analysis of Maize (Zea mays L.) Yield Gap in Smallholder Farming in Ghana

Owusu Danquah, E. ; Beletse, Y. (Corresponding author) ; Stirzaker, R. ; Smith, C. ; Yeboah, S. ; Oteng-Darko, P. ; Frimpong, F.FZJ* ; Ennin, S. A.

2020
MDPI AG Basel

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Please use a persistent id in citations: http://hdl.handle.net/2128/26137  doi:10.3390/agriculture10090420

Abstract: Modelling and multiple linear regression were used to explore the reason for low maize yield in the Atebubu-Amantin and West Mamprusi Districts of Ghana, West Africa. The study evaluated maize yields on twenty farms against measures of soil fertility, agronomic attributes and soil water availability. Correlations between yield, soil fertility, rain, crop density, and weed biomass, were low, and no single factor could explain the low yields. A 50-year virtual experiment was then set up using the Agricultural Production Systems Simulator (APSIM) to explore the interactions between climate, crop management (sowing date and nitrogen fertilization) and rooting depth on grain yield and nitrate (NO3-N) dynamics. The analysis showed that a lack of optimal sowing dates that synchronize radiation, rainfall events and nitrogen (N) management with critical growth stages explained the low farm yields.

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Contributing Institute(s):

1. Pflanzenwissenschaften (IBG-2)

Research Program(s):

1. 582 - Plant Science (POF3-582) (POF3-582)

Appears in the scientific report 2020

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; ; ; Article Processing Charges ; Clarivate Analytics Master Journal List ; Current Contents - Agriculture, Biology and Environmental Sciences ; DOAJ Seal ; Essential Science Indicators ; Fees ; NCBI Molecular Biology Database ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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