Modelling the optimal phosphate fertiliser and soil management strategy for crops
Modelling the optimal phosphate fertiliser and soil management strategy for crops
Aims: the readily available global rock phosphate (P) reserves may be depleted within the next 50-130 years warranting careful use of this finite resource. We develop a model that allows us to assess a range of P fertiliser and soil management strategies for Barley in order to find which one maximises plant P uptake under certain climate conditions.
Methods: our model describes the development of the P and water profiles within the soil. Current cultivation techniques such as ploughing and reduced till gradient are simulated along with fertiliser options to feed the top soil or the soil right below the seed.
Results: our model was able to fit data from two barley field trials, achieving a good fit at early growth stages but a poor fit at late growth stages, where the model underestimated plant P uptake. A well-mixed soil (inverted and 25 cm ploughing) is important for optimal plant P uptake and provides the best environment for the root system.
Conclusions: the model is sensitive to the initial state of P and its distribution within the soil profile; experimental parameters which are sparsely measured. The combination of modelling and experimental data provides useful agricultural predictions for site specific locations
mathematical modelling, phosphate, fertiliser strategy, barley field study, soil buffer power
1-15
Heppell, J.
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Payvandi, S.
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Talboys, P.
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Zygalakis, K.C.
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Fliege, Jörg
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Langton, D.
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Sylvester-Bradley, R.
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Walker, R.
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Jones, D. L.
aa75a0d9-20c3-4c0e-a986-10bb4185321d
Roose, Tiina
3581ab5b-71e1-4897-8d88-59f13f3bccfe
Heppell, J.
39c5f33d-249f-4e52-9f28-0e7db5116f16
Payvandi, S.
4137c4e4-3cb6-4b9a-9635-f17f03e19d18
Talboys, P.
ef5654c5-df63-4cde-a552-a996b652908d
Zygalakis, K.C.
a330d719-2ccb-49bd-8cd8-d06b1e6daca6
Fliege, Jörg
54978787-a271-4f70-8494-3c701c893d98
Langton, D.
762a47c7-d587-4e37-b526-68d3cc636c90
Sylvester-Bradley, R.
bd0ccc5f-43be-4340-8ca5-6962fee42309
Walker, R.
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Jones, D. L.
aa75a0d9-20c3-4c0e-a986-10bb4185321d
Roose, Tiina
3581ab5b-71e1-4897-8d88-59f13f3bccfe
Heppell, J., Payvandi, S., Talboys, P., Zygalakis, K.C., Fliege, Jörg, Langton, D., Sylvester-Bradley, R., Walker, R., Jones, D. L. and Roose, Tiina
(2015)
Modelling the optimal phosphate fertiliser and soil management strategy for crops.
Plant and Soil, .
(doi:10.1007/s11104-015-2543-0).
Abstract
Aims: the readily available global rock phosphate (P) reserves may be depleted within the next 50-130 years warranting careful use of this finite resource. We develop a model that allows us to assess a range of P fertiliser and soil management strategies for Barley in order to find which one maximises plant P uptake under certain climate conditions.
Methods: our model describes the development of the P and water profiles within the soil. Current cultivation techniques such as ploughing and reduced till gradient are simulated along with fertiliser options to feed the top soil or the soil right below the seed.
Results: our model was able to fit data from two barley field trials, achieving a good fit at early growth stages but a poor fit at late growth stages, where the model underestimated plant P uptake. A well-mixed soil (inverted and 25 cm ploughing) is important for optimal plant P uptake and provides the best environment for the root system.
Conclusions: the model is sensitive to the initial state of P and its distribution within the soil profile; experimental parameters which are sparsely measured. The combination of modelling and experimental data provides useful agricultural predictions for site specific locations
Text
Heppell et al 2015 Plant and Soil Accepted Minor.docx
- Accepted Manuscript
Text
Heppell et al 2015 Plant and Soil Accepted Final.pdf
- Accepted Manuscript
More information
Accepted/In Press date: 29 May 2015
e-pub ahead of print date: 13 July 2015
Keywords:
mathematical modelling, phosphate, fertiliser strategy, barley field study, soil buffer power
Organisations:
Bioengineering Group
Identifiers
Local EPrints ID: 376786
URI: http://eprints.soton.ac.uk/id/eprint/376786
PURE UUID: fb10646c-5670-441e-a451-3e1beb1bfc99
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Date deposited: 11 May 2015 12:55
Last modified: 15 Mar 2024 03:31
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Contributors
Author:
J. Heppell
Author:
S. Payvandi
Author:
P. Talboys
Author:
K.C. Zygalakis
Author:
D. Langton
Author:
R. Sylvester-Bradley
Author:
R. Walker
Author:
D. L. Jones
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