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 maximis...

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Bibliographic Details
Published in:Plant and soil 2016-04, Vol.401 (1-2), p.135-149
Main Authors: Heppell, J, Payvandi, S, Talboys, P, Zygalakis, K. C, Fliege, J, Langton, D, Sylvester-Bradley, R, Walker, R, Jones, D. L, Roose, T
Format: Article
Language:English
Subjects:
Agricultural soils
Agrology
Barley
Biomedical and Life Sciences
climate
crops
developmental stages
Ecology
Fertilizers
field experimentation
Hordeum vulgare
Life Sciences
Mathematical models
Phosphates
Phosphorus
phosphorus fertilizers
Plant Physiology
Plant roots
Plant Sciences
plowing
prediction
Regular Article
rock phosphate
Root systems
Soil depth
soil profiles
Soil Science & Conservation
Soil sciences
Soil water
Tillage
topsoil
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Summary: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.
ISSN:0032-079X
1573-5036
DOI:10.1007/s11104-015-2543-0