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001032539 0247_ $$2datacite_doi$$a10.34734/FZJ-2024-06327
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001032539 1001_ $$0P:(DE-Juel1)191292$$aMohammed, Gihan$$b0$$eCorresponding author$$ufzj
001032539 245__ $$aSimulation of soil phosphorus dynamics and crop yield for organic and mineral fertilization treatments at two long-term field sites
001032539 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2024
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001032539 520__ $$aThe 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.
001032539 536__ $$0G:(DE-HGF)POF4-2173$$a2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217)$$cPOF4-217$$fPOF IV$$x0
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001032539 7001_ $$0P:(DE-Juel1)164361$$aSiebers, Nina$$b1$$ufzj
001032539 7001_ $$0P:(DE-HGF)0$$aMerbach, Ines$$b2
001032539 7001_ $$0P:(DE-HGF)0$$aSeidel, Sabine J.$$b3
001032539 7001_ $$0P:(DE-Juel1)129469$$aHerbst, Michael$$b4$$ufzj
001032539 773__ $$0PERI:(DE-600)1498726-0$$a10.1016/j.scitotenv.2024.177517$$gVol. 957, p. 177517 -$$p177517 -$$tThe science of the total environment$$v957$$x0048-9697$$y2024
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