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@ARTICLE{Mohammed:1032539,
author = {Mohammed, Gihan and Siebers, Nina and Merbach, Ines and
Seidel, Sabine J. and Herbst, Michael},
title = {{S}imulation of soil phosphorus dynamics and crop yield for
organic and mineral fertilization treatments at two
long-term field sites},
journal = {The science of the total environment},
volume = {957},
issn = {0048-9697},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2024-06327},
pages = {177517 -},
year = {2024},
abstract = {The efficacy of phosphorus (P) based fertilizers is
frequently compromised by soil dynamics that render much
ofthe applied P unavailable for crops. This study aimed to:
(i) validate a new P model's prediction of plant-availableP;
(ii) analyze the effects of organic versus mineral
fertilization on P availability and crop yield; and (iii)
examinetemporal changes in P pools under various
fertilization regimes. Data were collected from two
long-term fieldtrials, Dikopshof and Bad Lauchst¨adt, in
Germany, using organic (FYM), mineral (MIN), a combination
of organicand mineral (MIX) fertilizers, and unfertilized
treatments. The AgroC model, incorporating a new P
module,accurately predicted P dynamics in cropped plots. At
both sites, MIX presented the highest yield, P removal,
totalP and available soil P. After 120 years of repeated P
fertilization, simulations at Dikopshof revealed a positive
Pbalance in MIN (11.1 $\%$ with observed 13 $\%)$ and in MIX
(15 $\%$ with observed 15 $\%),$ but negative in FYM (-
$4.9\%$ with observed - 5 $\%).$ However, at Bad
Lauchst¨adt, the P balance was negative in all treatments
except in MIN(+1.04 $\%),$ indicating P depletion. Among
crops, cereals showed the most variated yields, with P-use
efficiencyranging from 50 $\%$ to 99 $\%,$ while sugar beet
presented the highest P-use efficiency (up to 122 $\%).$ The
lowest Papplication rates exhibited, FYM treatment, the
highest P-use efficiency for all crops. Model pools were
successfullylinked to field-measured soil P fractions using
CAL and DGT methods, providing initial predictions ofvarious
soil P fractions across different fertilization strategies.},
cin = {IBG-3},
ddc = {610},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {2173 - Agro-biogeosystems: controls, feedbacks and impact
(POF4-217)},
pid = {G:(DE-HGF)POF4-2173},
typ = {PUB:(DE-HGF)16},
doi = {10.1016/j.scitotenv.2024.177517},
url = {https://juser.fz-juelich.de/record/1032539},
}