Development of Mathematical Models for Use in Management of Irrigation, Fertilization and Run-off from Ornamental Greenhouse Production. - PowerPoint PPT Presentation

About This Presentation
Title:

Development of Mathematical Models for Use in Management of Irrigation, Fertilization and Run-off from Ornamental Greenhouse Production.

Description:

Development of Mathematical Models for Use in Management of Irrigation, Fertilization and Runoff fro – PowerPoint PPT presentation

Number of Views:164
Avg rating:3.0/5.0
Slides: 51
Provided by: heiner9
Category:

less

Transcript and Presenter's Notes

Title: Development of Mathematical Models for Use in Management of Irrigation, Fertilization and Run-off from Ornamental Greenhouse Production.


1
Development of Mathematical Models for Use in
Management of Irrigation, Fertilization and
Run-off from Ornamental Greenhouse Production.
  • Prof. Heiner Lieth
  • Environmental Horticulture, University of
    California, Davis

2
Approach
  • Models can package quantitative scientific
    information
  • to make calculation (optimization)
  • to gain understanding
  • direct use in managing greenhouse crop
    production systems
  • Project will result in a model to simulate the
    growth and development of a greenhouse crop in
    relation to root zone variables
  • moisture content
  • concentrations of various ions
  • dissolved oxygen concentration
  • Model system
  • Greenhouse cut-flower rose (the most extensively
    produced greenhouse cut-flower crop).

3
Collaborators on Rose modeling research
  • Scientists from elsewhere
  • Michael Raviv, Moshe Silberbush, Israel Enrique
    Eymar, Spain Hak Ki Shin, Wan Soon Kim, S.
    Korea Pushpendra Chauhan, India
  • Post doctoral researchers
  • LinYing Li, Loren Oki
  • Graduate students
  • Soo Hyung Kim, Loren Oki, Ling Sun, Melody Meyer,
    Carola Gonzalez-Kessler, Robby Flannery, Neil
    Mattson
  • Undergraduate students
  • Jennifer Griset, Julie Hooper, Kimberly Layne,
    Jackie Bergquist, Nancy Sweet, and others
  • High school students
  • Pam Ng, Stella Chun, Hattie Brown, Rochelle Lee
    and others

4
Rose shoot/crop model
  • Objective of the research project
  • develop a model to help us better understand rose
    crop physiology and crop productivity
  • simulate rose crop growth and development in
    relation to the variables that determine
    production
  • Particular focus root-zone variables.

5
Our rose modeling project
  • Strategy Modular approach start at the
    physiological level and work up to crop systems
    level

6
Our rose modeling project
  • Strategy Modular approach start at the
    physiological level and work up to crop systems
    level
  • The approach deal with various submodels for the
    processes/physiological mechanisms
  • Model for rose leaf photosynthesis
  • Model for dry matter partitioning
  • Model for shoot growth
  • Model for rose shoot development

7
Model for rose shoot development
  • occurrence of sequence of events over time
  • e.g. leaf unfolding and flowering stages

8
Model for rose shoot development
  • Code Event
  • CT Cutting/pinching (harvesting) leading to the
    breaking of the bud
  • BB Bud Break (break10 mm long)
  • Ln Unfolding of leaf number n (n1,2,3...)
  • VB Flower bud is first visible to the naked eye
    (Visible Bud)
  • LL Unfolding of the Last Leaf
  • HV Shoot becomes harvestable (reflexed sepals,
    petals unfurling)

Basically we track how long a shoot spends in
each phase. (e.g. phase from VB to HV is denoted
as VBHB)
9
Modeling crop development
  • Temperature drives shoot development
  • Thermal units or heat units can be used to
    represent the plants sense of time
  • Thermal units Sum of all degrees of
    temperature above some base temperature

10
Graphical view of model
  • Provides a time-table for when each event occurs

Accumulated thermal units (integral of T-Tb)
11
Phases of Rose Development
  • Cultivar CTBB BBL1 L1VB VBLL LLHV
  • 'Cara Mia' 209 95 165 83 202
  • 'Royalty 201 77 174 66 263
  • 'Sonia' 194 93 160 85 172
  • units C day

Implication we can fine-tune the timing of
holiday crops
12
Rose Shoot model
  • Carbon budget model
  • main compartments Lleaf, Sstem,
    Freproductive, Clabile carbon pool, Bbase
  • input variables IIrradiance, Ttemperature,
    CO2CO2 concentration
  • rates Tup, Tdown CHO import/export rate,
    PSYNphotosynthesis rate, RG, RM growth and
    maint. respiration rate
  • shoot (canopy) architecture iinternode number,
    Lileaf i, Iilight, ...

13
Rose Crop Simulation model
  • Population of flowering rose shoots proposed
  • various shoot ages (bud break dates)
  • various positions in the canopy (vertically)
  • shoot model is then used for each class of shoots
    to form crop model

14
Prior to Floriculture Initiative funding
  • Workshop sponsored by Roses Incorporated focused
    on needed research related to modeling effort and
    benefits to growers
  • Resulted in the following grower recommendations
    for where to focus in the modeling research

15
Rose Crop Simulation model
16
Rose Crop Simulation model
17
Rose Crop Simulation model
lamp light
CO2
Day Temp
Night Temp
The rose grower funding was known to be
inadequate to accomplish all this research.
The rose grower funding was known to be
inadequate to accomplish all this research. At
start of Initiative funding we had a
grower-guided project which could be used as a
basis for research into issues related to
irrigation and fertilization, such as run-off and
TMDL.
productivity
flower head size
foliage quality
?
RFR
potential flower head size
soil water potential
NO3
NH4
K
PO4
Micros
18
Focus of Initiative-funded research
  • Focus on model development specifically for
  • Cut-flower rose production, especially
    hydroponics
  • Nutrient uptake and nutrient content of effluent

19
Why we need this research
  • Hydroponic rose production
  • Roses grow in containers
  • In coconut coir or some other substrate
  • Plastic containers may have drainage holes or
    special reservoir with overflow
  • Automated drip system irrigation
  • Numerous irrigations per day
  • Drainage is channeled into reservoir for
    recirculation or to be discarded.

20
Focus of Initiative-funded research
  • Focus on model development specifically for
  • Cut-flower rose production, especially
    hydroponics
  • Nutrient uptake and nutrient content of effluent

Why we need this research
  • So we need to know how much of each nutrient the
    roses have removed from the irrigation solution
    to be able to
  • Reuse it (optimizing it)
  • Minimize environmental impacts

21
Focus of Initiative-funded research
  • Focus on model development specifically for
  • Cut-flower rose production, especially
    hydroponics
  • Nutrient uptake and nutrient content of effluent
  • Goal
  • Develop tools based on models, that growers can
    use in production management
  • Help growers reduce fertilizer in waste water
    (run-off)
  • Optimization of fertigation program by
    calculating what plants have removed from
    solution.
  • Leverage funds to attract additional resources to
    multiply funding to get additional research done!

22
Remainder of presentation
  • Highlight three of the areas of the project
  • Example of developing grower tool
  • Development of grower tool for rose production
    timing
  • Example of research to improve our understanding
  • Oxygen in the root zone
  • Example of simulation model of nutrients in rose
    production
  • Simulation of N and K in rose crop production

23
Development of grower tool for rose production
timing
  • Based on model for rose shoot development
    (presented earlier in the talk)
  • Prediction of occurrence of sequence of
    events/stages such as leaf unfolding and flower
    development stages

24
Observable stages of development
25
Phases of Rose Development
  • Cultivar CTBB BBL1 L1VB VBLL LLHV
  • 'Cara Mia' 209 95 165 83 202
  • 'Royalty' 201 77 174 66 263
  • 'Sonia' 194 93 160 85 172
  • units C day

Implication this can be used in timing rose
crops for holidays Software was developed to
help growers make use of this model
26
Software to make use of this information
  • Used as follows (1) load program

27
Click on File and load parameter data
28
Select the variety of rose
29
Enter the greenhouse conditions (average day and
night temperature,)
Select the stage that is fixed and put in the
date corresponding to it.
30
Example Valentines Day calculation
  • Select a target harvest date for the Valentines
    day cut
  • Put in expected temperatures in greenhouse
  • Calculation shows the previous cut or pinch needs
    to occur on 12/22/2002, Bud break will occur
    12/30 and Visible Bud will be on 1/16/03.

31
Remainder of presentation
  • Highlight three of the areas of the project
  • Example of developing grower tool
  • Development of grower tool for rose production
    timing
  • Example of research to improve our understanding
  • Oxygen in the root zone
  • Example of simulation model of nutrients in rose
    production
  • Simulation of N and K in rose crop production

32
Dissolved Oxygen Concentration in the
Rootzone(Research Assistant Robby Flannery)
  • Background
  • Roots need oxygen to stay alive and to be able to
  • absorb nutrients
  • absorb water
  • Roots need oxygen to obtain energy from
    carbohydrates generated through leaf
    photosynthesis
  • In our research we saw signs of oxygen
    deficiency, despite well-aerated medium

33
Dissolved Oxygen Concentration in the Rootzone
  • Recently we found new instrumentation to measure
    dissolved oxygen concentration in small samples
    and in-situ.
  • Allows measurement directly in the rootzone or in
    liquids
  • Instantaneous
  • Non-invasive non-consuming

34
Dissolved Oxygen Concentration in the Rootzone
  • Measurement of O2 in media in roses in hydroponic
    buckets

Fiber-optic line on O2 sensor probe
Temperature probe
35
Root zone conditions (with plant)
36
Focus on a number of root-zone variable
  • Model of dissolved oxygen will help us identify
    optimal irrigation practices
  • We are also modeling the effect of EC on stem
    elongation (Collaboration with Dr Loren Oki,
    funded by CAN)

37
Remainder of presentation
  • Highlight three of the areas of the project
  • Example of developing grower tool
  • Development of grower tool for rose production
    timing
  • Example of research to improve our understanding
  • Oxygen in the root zone
  • Example of simulation model of nutrients in rose
    production
  • Simulation of N and K in rose crop production

38
Simulation of N and K in rose production
  • Collaboration
  • Prof Moshe Silberbush, Israel (2001/2002)
  • Dr Wan Soon Kim, South Korea (past and future)
  • Mr Neil Mattson, UCDavis (current)
  • Objective
  • Develop submodel that describes how roses take
    nutrients out of the nutrient solution
  • 2001/2002 focus on nitrogen and potassium
  • Dr Silberbush worked with me at UCDavis on this
    project

39
Simulation of N and K in rose production
  • Study uptake of nitrogen (N) and potassium (K) in
    the nutrient solution

40
Simulation of N and K in rose production
  • Measured N and K in the solution in relation to
    biomass accumulation (roots and shoot)
  • Used ion-selective probes
  • Used lab techniques to verify results
  • Measured root growth

41
Simulation of N and K in rose production
  • Used results to develop a model
  • Assumptions
  • No interaction between N and K
  • Both N and K involve similar mechanisms for
    removal from solution
  • Assume growth is not limited by nutrients
  • The model

42
(No Transcript)
43
Simulation of N and K in rose production
44
Simulation of N and K in rose production
45
Simulation of N and K in rose production
In this simulation five shoots are simulated to
be on the plant these are harvested at 2-day
intervals. Note pattern of replenishment of
nutrient solution
46
Current work
  • Identification of temporary storage pools of N
    and K in the plant and how these are related
  • Three-dimensional visualization of the plant
  • Root growth in relation to root-zone variables
    (moisture, oxygen, nutrients,)
  • Combining all the various sub-models into the
    main model

47
Simulation software of multiple rose shoots
48
Success in leveraging funds
  • Modeling work by Lieth and Raviv resulted in
    further funding by BARD (350k /3 years) to focus
    on rose root respiration
  • Initiative funding helped convince ICFGA to
    continue supporting rose modeling research (10 -
    20k /year)
  • Run-off issues and existing rose modeling work
    led California Association of Nurserymen to
    support rose modeling research (10k - 15k
    /year)
  • Sabbatical professor salary (Prof Silberbush)
    multiplied my investment in him 10-fold (60k?)
  • Sabbatical government scientist salary (Dr. Hak
    Ki Shin) multiplied my investment in him 10-fold
    (60k?)

49
Success in leveraging funds
  • Collaborative proposal writing with Dr Wan Soon
    Kim (Korea) resulted in additional funds from
    outside the US into this program
  • 63k over next three years
  • Dr Kims funded program in Korea (his salary and
    research support there)
  • Gifts by industry due to high level of relevancy
    (15k over 3 years)

Continued Floriculture Initiative funding is
needed to assure future success in leveraging
funds from other organization, particularly from
outside the US.
50
For more info Professor Heiner Lieth Mail
Environmental Horticulture, University of
California, Davis, CA 95616 E-mail
JHLieth_at_UCDavis.edu Tel 530-752-7198 -- Fax
530-752-1819
Web page http//LIETH.ucdavis.edu
Write a Comment
User Comments (0)
About PowerShow.com