Modelling the optimal phosphate fertiliser and soil management strategy for crops James Heppell August 2014.

Slides:



Advertisements
Similar presentations
Nutrient Management: Planning and Trends
Advertisements

Agricultural modelling and assessments in a changing climate
Walloon Agricultural Research Centre Extending Crop Growth Monitoring System (CGMS) for mapping drought stress at regional scale D. Buffet, R. Oger Walloon.
© Crown copyright Met Office 2011 Climate impacts on UK wheat yields using regional model output Jemma Gornall 1, Pete Falloon 1, Kyungsuk Cho 2,, Richard.
A. What is it? B. Why is it important? C. How is it done?
New innovations to recycle phosphorus Liisa Pietola, Research Centre Hanninghof, Agronomic R&D Yara International ASA EU Strategy for Baltic Sea Region.
Nutrient management issues and initiatives 2013 Deer Industry Conference James Parsons.
Model based estimation of nitrogen fertilization recommendations using agrometeorological data K. Christian Kersebaum WMO Expert meeting Geneva 11/2004.
Nitrogen pollution mapping at the European level ELPEN meeting, Udine, Italy November 2002 Vincent Delaunay.
Optimizing Crop Management Practices with DSSAT. Our Goal With increasing population and climate change, the ability to maximize crop production is essential.
Conservation Effects Assessment Project (CEAP) Measuring the Environmental Benefits of Conservation Managing the Agricultural Landscape for Environmental.
P-saturated Ochre: Performance as a Fertiliser and Environmental Acceptability K.E. Dobbie, K.V. Heal and K.A. Smith School of GeoSciences, University.
ETS and the Arable industry Stuart Wright.
Sensitivity of water-optimal root depth to precipitation constant rain frequency, variable mean depth constant mean depth, variable frequency Multiple.
 Econometrics and Programming approaches › Historically these approaches have been at odds, but recent advances have started to close this gap  Advantages.
Modeling of Soil Nutrients – An Introduction to Logical Spreadsheeting Russell Yost Department of Tropical Plant and Soil Science, University of Hawai`i.
Using Adapt-N On-farm strip trials on Long Island, NY: Above: A = 93 lb N, G = 159 lb N Below: A = 132 lb N, G = 175 lb N AG AG Incorporating Local Weather.
Modeling Nitrogen Loading to the Groundwater in Response to Land Use Change By Dibyajyoti (Diby) Tripathy ABE 527 (Spring’ 04)
CGMS/WOFOST model principles
… putting the precision in ...
Leaving Certificate Agricultural Science
Application of seasonal climate forecasts to predict regional scale crop yields in South Africa Trevor Lumsden and Roland Schulze School of Bioresources.
OVERSEER® Nutrient Management Tool: Present and future perspectives Waikato Regional Council Presentation 25 October 2012 Philip Mladenov Chief Executive.
Vulnerability and Adaptation Assessments Hands-On Training Workshop Impact, Vulnerability and Adaptation Assessment for the Agriculture Sector – Part 2.
Precision farming Dr. ir. Sander H. van Delden (DeS) Lecturer HAS den Bosch Soil and fertilisation Soil, Nutrition & Water.
PALMS: Precision Agricultural-Landscape Modeling System Precision modeling to provide decision support for farmers PALMS is software designed to provide.
Soil Productivity and Conservation THE GMIS. Importance of Soil As the key resource in crop production It supports the physical, chemical, and biological.
A. What is it? B. Why is it important? C. How is it done?
Plant Nutrition from the Root Environment. The need to feed We have already made the point that what is taken out of the soil must be put back, and therefore.
CARBON SEQUESTRATION POTENTIAL IN SMALLHOLDER FARMING SYSTEMS IN NORTHERN GHANA Jawoo Koo 1, J.B. Naab 2, J.W. Jones 1, W.M. Bostick 1 and K.J. Boote 3.
Modeling experience of non- point pollution: CREAMS (R. Tumas) EPIC (A. Povilaitis and R.Tumas SWRRBWQ (A. Dumbrauskas and R. Tumas) AGNPS (Sileika and.
Quantifying the uncertainty in spatially- explicit land-use model predictions arising from the use of substituted climate data Mike Rivington, Keith Matthews.
TOTAL AND EXTRACTABLE PHOSPHORUS CONCENTRATIONS AT DIFFERENT DEPTHS IN A SOIL FERTILIZED WITH MANURE R. DA SILVA DÍAS 1, C. A. de ABREU 2, R. M. MESTAS.
Determining the Most Effective Growth Stage in Corn Production for Spectral Prediction of Grain Yield and Nitrogen Response Department of Plant and Soil.
What is Soil? T Webb HHS. What is Soil? - humus: biotic community - organic/biological materials - minerals - clays and silts - “dirt” * contains air.
Reverse N lookup, sensor based N rates using Weather improved INSEY Nicole Remondet Rationale Weather is an aspect of agricultural sciences that cannot.
Improving irrigation practice for growing vegetables on sandy soils Rohan Prince and Robert Deyl.
Water management Soil and Nutrients Pests and diseases.
DRAINMOD APPLICATION ABE 527 Computer Models in Environmental and Natural Resources.
Fertilizer Management
 A fertilizer or manure contains one or more of the essential elements e.g. Nitrogen, Potassium, Phosphorus, Calcium, Magnesium etc.  It is applied.
Casey Andrews SOIL 4213 April 22, 2009
“Use of Branch and Bound Algorithms for Greenhouse Climate Control” 7th International Conference – Haicta 2015 George Dimokas * Laboratory of Agricultural.
Dr. Joe T. Ritchie Symposium : Evaluation of Rice Model in Taiwan Authors : Tien-Yin Chou Hui-Yen Chen Institution : GIS Research Center, Feng Chia University,
CONTENTS: 1.Abstract. 2.Objective. 3.Block diagram. 4.Methodology. 5.Advantages and Disadvantages. 6.Applications. 7.Conclusion.
Soil erosion or degradation is a natural process. It becomes a problem when human activity causes it to occur much faster than under natural conditions.
Workshop on the Criteria to establish projections scenarios Sectoral projection guidance: Agriculture Mario Contaldi, TASK-GHG Ankara, March 2016.
Phosphorus Management for Sustainable Dairy Production International Conference: Steps to Sustainable Livestock John Bailey Sustainable Agri-Food Sciences.
Do Now 1.How many people are projected to be on earth by 2050? 2.In order to feed all these people, we must dramatically increase food production. What.
WAgriCo – UK update and overview Dr Jodie Whitehead 17 th July 2008 Insert image here.
Integrated Nutrient Management (Nutrient Management Plan ) A Series of Lecture By Mr. Allah Dad Khan.
MOTHER THERESA INST OF ENGG&TECH IRRIGATION OF WATER (DUTY&DELTA) PRESENTED BY.
Leaving Certificate Agricultural Science
Rasheed Gibson, Jesse Raike, Ethel Carrillo, Courtney Helmig
The Netherlands: manure policy and request for a derogation to the livestock manure limit of 170 kg N/ha per year for dr. ir. Cindy.
Sardar Patel Institute Of Technology
Unit Food supply, plant growth and productivity
Soil Erodibility Prof. Dr. EHSANULLAH. Soil Erodibility Prof. Dr. EHSANULLAH.
How High Should NUE Be, and Can Knowing Soil N Help Us Get There
Improving productivity in rice systems with better layouts
Partial Nutrient Balance at Farm plot level under Different Irrigation Water Management for Tomato production Muluye Gedfew1, Petra Schmitter2, Prossie.
Precision Nutrient Management: Grid-Sampling Basis
Test and evaluation of a soil salinity sensor incorporated with
Grassland P & K Advice Mark Plunkett Johnstown Castle, Wexford
Managing Irrigation Using the STAMP Irrigation Tool
Sustainable Agriculture
Potassium for wheat on sandplain soils
What is Soil? T Webb HHS.
Potassium deficiency in local soils – what do we know?
Grassland P & K Advice Mark Plunkett Johnstown Castle, Wexford
Presentation transcript:

Modelling the optimal phosphate fertiliser and soil management strategy for crops James Heppell August 2014

My Research The aim of my research is to model water and P uptake by crop roots and to optimise a sustainable environment for the future, given uncertain climate changes and demands from farming restrictions.

My Research The long term goal is to provide a guidance tool for farmers/ the agricultural industry as to how and when to fertilise crops. ? ? ? ?

Why is Phosphate Important?

The model enables analysis of different P fertiliser strategies on grain yield, for different environmental conditions Group Model Overview

Model Overview After P is applied, the model 1.Tracks the movement of P and water through the soil 2.Includes the binding reactions of P to soil particles 3.Calculates the depth-dependent uptake of water and P into a developing root system

Model Overview Our model is based on the one for nutrient and water uptake by plant roots from unsaturated soil (Roose and Fowler, 2004). We estimate the phosphate and water concentration levels within the soil down to a depth of 2m. We set soil parameters such as water permeability and buffer power, for known characteristics of the soil measured by Bangor University. Climate conditions are taken from weather station data and root structures are known from pot experiments. The model inputs include; initial water and P concentrations in the soil, climate data and the fertiliser and soil cultivation strategy.

Scenarios to Consider Cultivation FertiliserClimate A very wet climate Site specific climate Banded 5cmBroadcasted Plough at 25, 20 or 10 cm Inverted plough Min till gradientNo cultivation No fertiliser

Problem Definition Q1. What is the optimal fertiliser and soil management strategy for maximising plant P uptake? Q2. Does this strategy change for different climate conditions?

Experimental Data P profile for an Olsen index 2, 3 and 5 soil.

Experimental Data Field Trial set up: –Initial P level is 9-10 mg P/l (P1) –Winter Barley measured at GS39 (19 th May) –Varying fertilise amounts of Trisodium Phosphate (TSP) via incorporation or placing Incorporated Placed

Model Validation If we assume P index 2 (20 mg P/l) with exponential decay, similar results are obtained Total available P is only increased by 7% Incorporated Placed

Scenario Testing Results The best scenario for uptake is to mix the soil to a depth of 25 cm or Inverted plough. Placed fertiliser is better than incorporated by roughly 11%. Site Specific Climate

Scenario Testing Results The best scenario for uptake is to mix the soil to a depth of 25 cm or Inverted plough. Placed fertiliser is better than incorporated by roughly 11%. If the climate is particularly wet, average P uptake is increased by 2% across all scenarios, 6% for just incorporated. A very wet climate

Effect of Buffer Power Results for an initial P index 1 soil (10mg/l P constant), 90 kg/ha P 2 O 5 added to the top of the soil and then mixed down to 25 cm) The model is very sensitive to the buffer power. Therefore, to ensure accurate model predictions, a field-specific buffer power is required.

Effect of Soil Water Content Results for an initial P index 1 soil (10mg/l P constant), 90 kg/ha P 2 O 5 added to the top of the soil and then mixed down to 25 cm. The model is less sensitive to the volumetric soil water content However to further improve the accuracy of the model, the volumetric soil water content profile in depth is required.

Root Model Conclusions Have incorporated temperature-dependent root growth which allows modelling of the winter period. The model outputs depend entirely on the model inputs –buffer power –initial soil P and water profile to depth –site specific climate data Completed set of scenario testing –best method is to invert plough and place fertiliser (banded) Different cultivation techniques and practices can lead to differences in soil P and water profiles –To improve model prediction, more accurate site-specific data is needed

Thank you. Any Questions?