Container Plant Production Model

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Container Plant Production Model
Tom Yeager and Jeff Million Department of
Environmental Horticulture University of Florida,
IFAS
In collaboration with Joe Ritchie and McNair
Bostic Agricultural and Biological
Engineering University of Florida, IFAS Joe
Albano, USDA-ARS Ft. Pierce, Florida
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Simulate container plant production outputs based
on inputs Evaluate costs/benefits of
inputs relative to output Evaluate
environmental impact (outputs) relative
to inputs
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Provide base for others to spring from

• Other crop types
• Non-container system

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• Target users
• Policy/Research develop and evaluate BMPs for
  their economic and environmental impacts assist
  in developing regional water and fertilizer use
  policies
• Management irrigation scheduling, crop timing,
  fertilizer management, water resource planning
• Education governmental agencies, growers,
  extension agents, classroom

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CRF
CRF
N
CRF
N
Container drainage runoff
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Model subroutines Plant daily estimate of
leaf area growth daily estimate of dry matter
accumulation in roots and shoots
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Key components for plant subroutine
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Model subroutines Water balance daily
estimate of irrigation and rain inputs into
the container daily estimate of retention,
drainage and runoff of water daily
estimate of ET
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Key components for water subroutine
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Model subroutines Nutrient daily estimate
of nitrogen release from CRF daily
estimate of nitrogen uptake by plant
daily estimate of nitrogen loss in drainage
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Key components for nutrient subroutine
Under development
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• Information for model
• Literature data
• Research
• 1-gal Viburnum odoratissimum
• Plant growth and leaf area
• Irrigation capture (enhancement)
• Evapotranspiration
• Nutrient uptake
• Runoff data

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Example daily output
DATE LA LAI SW ET RAIN
IRR DR R_O EF TW RW TT SOL
TMIN TMAX (cm2) ..
(cm).. (g/plant) (day)
(MJ/m2) (oC) 2005285 272 0.54
5.052 0.365 0.00 1.00 1.00 1.00 1.00
2.07 0.69 19 7.5 21.3
28.3 2005286 273 0.55 4.686 0.397
0.00 1.00 0.64 0.86 1.00 2.09 0.75
39 8.2 21.3 27.3 2005287 276
0.55 4.655 0.894 0.00 1.00 0.61 0.84
1.00 2.11 0.92 57 18.6 17.9
29.6 2005288 280 0.56 4.157 0.897
0.03 1.00 0.14 0.68 1.00 2.14 1.08
76 18.7 16.4 30.3 2005289 284 0.57
4.155 0.896 0.00 1.00 0.11 0.65
1.00 2.18 1.24 93 18.9 14.4
30.3 2005290 289 0.58 4.156 0.889
0.03 1.00 0.14 0.68 1.00 2.22 1.39
110 18.7 15.1 29.3 2005291 295 0.59
4.163 0.904 0.00 1.01 0.12 0.65
1.01 2.27 1.54 128 18.8 15.2
30.1
.... 2006054 1909 3.82 4.025 0.381
2.18 2.27 3.43 1.55 2.27 23.92 8.64
1496 5.8 15.5 26.1 2006055 1927
3.85 4.671 0.924 0.00 2.27 1.89 0.85
2.27 24.25 8.73 1507 15.4 10.1
21.6 2006056 1939 3.88 4.128 0.533
0.00 2.27 1.35 0.63 2.27 24.48 8.69
1523 8.1 15.8 26.0 2006057 1956
3.91 4.519 0.942 4.73 2.27 6.47 2.87
2.27 24.79 8.81 1533 15.9 9.6
20.9 2006058 1969 3.94 4.110 1.156
0.00 2.27 1.33 0.63 2.27 25.02 9.10
1541 20.7 5.1 20.1 2006059 1983
3.97 3.895 1.064 0.00 2.27 1.12 0.54
2.27 25.29 9.33 1550 18.5 4.5
23.3 2006060 2001 4.00 3.988 1.236
0.07 2.27 1.28 0.61 2.27 25.62 9.58
1560 20.7 5.2 26.2 2006061 2023
4.05 3.815 1.232 0.00 2.27 1.04 0.51
2.27 26.05 9.71 1574 19.4 1 0.3 27.6
Example summary output (L/cont.)
DATE TotRain TotIrrig TotET TotDrain
TotRunoff 2006061 21.17 71.00
19.56 40.72 72.85
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Future
Experiments to refine and develop input
data Validate