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@ARTICLE{OwusuDanquah:884768,
author = {Owusu Danquah, Eric and Beletse, Yacob and Stirzaker,
Richard and Smith, Christopher and Yeboah, Stephen and
Oteng-Darko, Patricia and Frimpong, Felix and Ennin, Stella
Ama},
title = {{M}onitoring and {M}odelling {A}nalysis of {M}aize ({Z}ea
mays {L}.) {Y}ield {G}ap in {S}mallholder {F}arming in
{G}hana},
journal = {Agriculture},
volume = {10},
number = {9},
issn = {2077-0472},
address = {Basel},
publisher = {MDPI AG},
reportid = {FZJ-2020-03244},
pages = {420 -},
year = {2020},
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.},
cin = {IBG-2},
ddc = {570},
cid = {I:(DE-Juel1)IBG-2-20101118},
pnm = {582 - Plant Science (POF3-582)},
pid = {G:(DE-HGF)POF3-582},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000578205100001},
doi = {10.3390/agriculture10090420},
url = {https://juser.fz-juelich.de/record/884768},
}