Precision fertigation for improved apple orchard productivity Nigel - - PowerPoint PPT Presentation

precision fertigation for improved apple orchard
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Precision fertigation for improved apple orchard productivity Nigel - - PowerPoint PPT Presentation

Precision fertigation for improved apple orchard productivity Nigel Swarts 1 , Marcus Hardie 1 Steve Green 2 , Brent Clothier 2, Ian Goodwin 3 , Eileen Perry 3 Dugald Close 1 1 Tasmanian Institute of Agriculture, University of Tasmania 2 Institute


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Nigel Swarts1, Marcus Hardie1 Steve Green2, Brent Clothier2, Ian Goodwin3, Eileen Perry3 Dugald Close1

1Tasmanian Institute of Agriculture, University of Tasmania 2 Institute of Plant and Food Research, New Zealand 3 Department of Economic Development, Jobs, Transport

and Resources

Precision fertigation for improved apple orchard productivity

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Current situation: Guidelines for fertigation are generic and don’t fully consider total N flux and impacts of rates and timing

  • f application

Aim: Optimal N nutrition in apple orchards through fertigation Major outcome: Protocols for precision fertigation in apple

  • rchards that account for tree uptake, utilisation and fruit

quality, crop, leaf and pruning removal and nutrient flux

Project Overview

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Trial Establishment

‘Galaxy’ at Lucaston Park Orchards, Tasmania

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Aug Sep Oct Nov Dec Jan Feb Mar Apr

2015 Harvest Pre- harvest fertigation Post- harvest fertigation Monthly leaf N sampling

Irrigation starts Irrigation stops

Experimental Design

  • Irrigation treatments applied when grower irrigates: high (3.9L/hr),

medium (2.3L/hr) and low (1.6L/hr)

  • Split N treatments applied as Ca(NO3)2 (4 reps per treatment)
  • ON
  • 25%N Pre harvest and 25%N Post harvest
  • 50% N Pre harvest and 50% N Post Harvest
  • 50% N Post harvest
  • 100%N Post harvest.
  • Ratios are based on a percentage of annual N application of 60kg/N/ha.

Jul Jun May Apr

Post- harvest fertigation 2014 Pruning wood N sampling

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Leaves Fruit (Harvest)

Leaf and Fruit N content

  • Pre-harvest fertigation significantly increased leaf and fruit N
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Background colour Flesh firmness

Fruit Quality

  • Pre-harvest N fertigation significantly influenced fruit colour (3 indices)
  • No significant influence of fertigation on firmness
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0.0 10.0 20.0 30.0 Sep12 Jan13 May13 Sep13 Jan14 May14 Sep14 Jan15 May15

Tree water use (l/day)

500 1000 1500 2000 2500 3000 Sep14 Nov14 Jan15 Mar15 May15

water use (L/tree)

Irrigation Total ET = Etg + ETc Effective Rain

Orchard water use efficiency

Yearly tree water use Cumulative water use over a season Seasonal drainage

5 10 15 20 25 30 35 1/11/2012 1/11/2013 1/11/2014 High Medium

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Growing season Irrigation (L per tree) Fertigation N (kg/tree) Yield (kg / tree) Drainage loss (L /tree) nitrate loss (kg-N/tree) 2013-14 1335 0.014 39 424.35 0.015 2014-15 567 0.014 33 447.75 0.016 Growing season Water Inputs ε1 (L/kg fruit) Water Outputs ε2 (L/kg fruit) Nitrogen Inputs ε3 (kg fruit /kg N) Nitrogen Outputs ε4 (kg fruit /kg N) 2013-14 34.2 10.9 2820 2543 2014-15 17.2 13.6 2386 2056

Average inputs and outputs of apple growing at Lucaston

‘Eco-efficiency’ of apple orcharding

‘activities that create economic value while reducing ecological impact and resource use’ These simple metrics, on a year by year basis, will enable us to assess the impact of different irrigation and fertigation strategies on the eco-efficiency of orchard production Additional factors to consider: season N recycling, crop removal, mineralised N etc

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N15 Trial: Nitrogen recycling

Treatments:

  • Zero N15 control
  • Pre-harvest N15 (60g/tree) only
  • Pre-harvest N15 (60g/tree) plus

post-harvest N15 (60g/tree)

  • Post-harvest N15 (60g/tree) only.

Questions

  • What is the importance of N

remobilisation versus N uptake by roots for new shoot growth and when does this occur?

  • Can the quantity of N stored be

influenced by timing and application rate of N fertigation?

  • When is uptake most efficient?
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PIPS II: Building on fertigation research

  • Sub-project 1: Building a multi-season N budget for optimised

fertiliser management

  • Use 15N to trace the fate of N over multiple seasons
  • Quantify the relative contributions and timing of all N sources
  • Quantify total N loss above and below ground
  • Determine the uptake of N, P and K under foliar and

fertigation treatments and influence on fruit quality

  • Sub-project 2: A nationwide decision support tool to guide on-

farm irrigation and nutrient management

  • Develop a grower/adviser focused decision support tool for

irrigation and nutrient management – using SPASMO

  • Will include: point-source application of water and nutrients

via a line of drippers or sprinklers, 3D tree-canopy module with leaf processes linked to local microclimate and orchard specifics

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Acknowledgements

  • Andrew and Matt Griggs as grower collaborators
  • Agronomists Peter Morrison, Andrew Hall and Nigel Bartels for industry

collaboration

  • Dr Sally Bound for advice
  • Garth Oliver, Justin Direen and Steve Paterson for technical support
  • This project is part of the Apple and Pear industry Productivity Irrigation Pests

and Soils (PIPS) flagship program and funded by HIA using the apple and pear industry levy, Voluntary contributions from Plant and Food Research NZ and matched funds from the Australian Government.