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Drs. Chevonne Carlow and Sarah Drs. Chevonne Carlow and Sarah

Drs. Chevonne Carlow and Sarah - PowerPoint Presentation

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Drs. Chevonne Carlow and Sarah - PPT Presentation

Jandricic OMAFRA Testing New Products How Do Y ou Know it REALLY worked Let you be SURE about new products techniques for YOUR farm Research Trials Require PLANNING and ID: 810827

research data collect crop data research crop collect design experimental block treatment develop field plots question interpreting project graph

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Slide1

Drs. Chevonne Carlow and Sarah Jandricic, OMAFRA

Testing New Products: How Do You Know it REALLY worked???

Slide2

Let you be SURE about new products / techniques for YOUR farm

Research Trials…

Require

PLANNING

and

COMITTMENT to not waste your efforts Extra time, labour, money

Slide3

Why Trial

Biostimulants

?

Biostimulants

/ Fertilizers

Biopesticides / Chemical pesticidesRegistered byCFIAHealth CanadaData neededCompositionProduct safetyQuality control proceduresCompositionProduct safety

Quality control procedures

Environmental

t

oxicity

Efficacy against specific pests

Data generated

In house

Often

independent

Time to market

Relatively quick

Very slow

Slide4

10 Basic Steps in a Research ProjectIdentify your research question and objective.Develop a research hypothesis.Decide what you will measure and what data you will collect

.Develop an experimental design.Choose the location and map out your field plots.

Implement

the project.

Make observations and keep records throughout the season.Collect research data.Analyze the data.Interpret the data and draw conclusions.

Outline

Source: SARE Grant Learning Centre

Slide5

10 Basic Steps in a Research ProjectIdentify your research question and objective.Develop a research hypothesis.Decide what you will measure and what data you will collect

.Develop an experimental design.Choose the location and map out

your field plots.

Implement

the project.Make observations and keep records throughout the season.Collect research data.Analyze the data.Interpret the data and draw conclusions.

Outline

Source: SARE Grant Learning Centre

Slide6

Identifying your QuestionThe most important part of any experiment!Don’t expect one project to answer all of your questions

BUTDo expect one project to lead to many more questions!

Slide7

Identifying your QuestionI would like to see if ________ will help to ________ in ________.

Slide8

Identifying your QuestionI would like to see if ________ will help to ________ in ________.BioStimulants

Crop XVariety YField Z

Propagation

Improve profits

Slide9

Identifying your GoalsExample Hypotheses:“Biostimulant X will increase yields by an average of at least 5% compared to my current production practices.“Biostimulant Y will

increase the percentage of fruit given top grade over my current methods”“Biostimulant Z will increase biomass of my cover crop and improve soil N levels, reducing the amount of fertilizer needed

.”

I would like to see if ________ will

help to ______ __ in ________.Improve ProfitsGeneral Question:Narrow Down SPECIFIC Hypothesis– more measurable

Biostimulants

Crop X

Slide10

10 Basic Steps in a Research ProjectIdentify your research question and objective.Develop a research hypothesis.Decide what you will measure and what data you will collect

.Develop an experimental design.Choose the location and map out your field plots.

Implement

the project.

Make observations and keep records throughout the season.Collect research data.Analyze the data.Interpret the data and draw conclusions.

Outline

Source: SARE Grant Learning Centre

Slide11

Getting Started: Data CollectionDecide what data to collect BEFORE you set up your experiment

Does it answer your QUESTION?How many samples will you need to collect to SEE A DIFFERENCE

Informs

layout, size of plots, labour, TIME

Slide12

Getting Started: Data Collection

Research Question:Examples of Measurements:

Quantitative

Quantitative

Qualitative

QualitativeBiostimulant X improves crop YPlant biomassYieldRating ScalePhoto analysisDecide what data to collect BEFORE you set up your experimentDoes it answer your QUESTION?How many samples will you need to collect to SEE A DIFFERENCEInforms layout, size of plots, labour, TIMEMost InformativeMost time consuming

Least Informative

Least time consuming

Slide13

Collecting Data: A Note on Bias Do you see what you expected? Does it influence how you take data? Or how you interpret the results?

Too much focus on what you expect to see,

can cause you to miss interesting results!

Slide14

Identify your research question and objective.Develop a research hypothesis.Decide what you will measure and what data you will collect.Develop an experimental design

.Define treatmentsVariables

Replication

Blocking

RandomizationChoose the location and map out your field plots.Implement the project.Make observations and keep records throughout the season.Collect research data.

Analyze the data.Interpret the data and draw conclusions.Outline

Are your results

REAL

or just due to

CHANCE

???

Slide15

Experimental Design –Treatments

Treatment

=

What you’re applying to the crop;

COMPARISONS

of interestDifferent Biostimulant productsDifferent rates of BiostimulantsDifferent Biostimulant regimes

Slide16

Selecting Treatments: Keep the Trial ManageablePaired comparison (2 TREATMENTS only) E.g. Something NEW vs a CONTROL

Experimental Design -

Treatments

Paired comparison

Biostimulant

XControlPlots/Rows

Slide17

Selecting Treatments: Keep the Trial ManageablePaired comparison (TWO TREATMENTS) E.g. Something NEW vs a CONTROL

Experimental Designs -

Treatments

Paired comparison

Biostimulant

XControlWhat you’re already doing!Keep ALL other management practices (VARIABLES) the same

:

- Tillage

Irrigation

Pesticide applications

Plots/Rows

Slide18

Why re-invent the wheel?Use other sources to narrow it downData on a SIMILAR crop? Region?Independent studies?Neighbours?Talk to company reps – want to ensure your success!

Choosing a Product

Slide19

Remember, these are LIVE organisms!Quality control is importantFRESH product (check expiry date!)Proper STORAGEProper APPLICATION

A BIG Variable –

Product Quality

Slide20

Remember, these are LIVE organisms!Quality control is importantTesting?????

A BIG Variable –

Product Quality

Slide21

Identify your research question and objective.Develop a research hypothesis.Decide what you will measure and what data you will collect.Develop an experimental design

.Define treatmentsVariables

Replication

Blocking

RandomizationChoose the location and map out your field plots.Implement the project.Make observations and keep records throughout the season.Collect research data.

Analyze the data.Interpret the data and draw conclusions.Outline

Are your results

REAL

or just due to

CHANCE

???

Slide22

WHY Replicate?

lets you figure out if what you see is caused by:

NATURAL VARIATION

or your TREATMENT

= Number of times the treatment is in the fieldExperimental Design: Replication

Slide23

HOW MANY TIMES SHOULD YOU REPLICATE?MORE IS BETTER IDEAL: 3-5 replicates per treatment

Experimental Design:

Replication

SIZE MATTERS

E.g. Corn:

Each plot needs to yield 1000 lbs of harvested material- Will depend on equipment sizeBLOCK 1BLOCK 2

BLOCK 3

Slide24

Assigning treatments to plots WITHOUT BIAS- Also helps reduce variation (noise)

Experimental Design:

Randomization

BLOCK 1

BLOCK 2

BLOCK 3

Slide25

BlockingIs your Field perfectly uniform? No? Then you need to blockHelps reduce “noise” (variability)Field conditions should be uniform WITHIN each block

Experimental Design:

Blocking

BLOCK 1

BLOCK 2

BLOCK 3

Wet part of field

All in shade

Slide26

Experimental Design:

Blocking

BLOCK 1

BLOCK 2

BLOCK 3

Examples of variation to block against:

Shade

Slope

Soil texture

Wetness

Ajacent

crops/wildlands

Blocking

Is your Field perfectly uniform? No? Then you need to block

Helps reduce “noise” (variability)

Field conditions should

be uniform WITHIN each block

Slide27

Helps Eliminate Sources of Variation:Requires pre-mapping of fieldTrick: lay out blocks 90 degrees to source of “noise”

Experimental Design:

Blocking

Slope = variation

Block position

Slide28

10 Basic Steps in a Research ProjectIdentify your research question and objective.Develop a research hypothesis.Decide what you will measure and what data you will collect.

Develop an experimental design.Choose the location and map out your field plots.

Implement

the project.

Make observations and keep records throughout the season.Collect research data.Analyze the data.Interpret the data and draw conclusions.

Outline

Source: SARE Grant Learning Centre

Slide29

Interpreting your Data

Data “analysis” does NOT have to be overly complicated

Slide30

Interpreting your Data: GRAPH ITPhoto: U. FloridaSTEPS 1& 2

- Calculate AVERAGE within each treatment and STANDARD ERRORGRAPH (need to make a graph in Excel with separate SE bars for each treatment)

Slide31

Photo: U. FloridaSTEPS 1& 2- Calculate AVERAGE within each treatment and STANDARD ERRORGRAPH (need to make a graph in Excel with separate SE bars for each treatment)

Standard Error

The bigger the standard error, the

more variation

(noise)

around your treatment mean

Interpreting your Data:

GRAPH IT

Slide32

Photo: U. FloridaSTEPS 1& 2- Calculate AVERAGE within each treatment and STANDARD ERRORGRAPH (need to make a graph in Excel with separate SE bars for each treatment)

The bigger the standard error, the

more variation

(noise) in your treatment

Mean

is less representative of what’s likely to happen

Interpreting your Data:

GRAPH IT

Slide33

Photo: U. Florida

Interpreting your Data:

GRAPH IT

Slide34

Photo: U. FloridaResources:Ready-made spreadsheets for mean + SEswroc.cfans.umn.edu/farm-trials-worksheet YouTube tutorials for graph with separate standard error bars:Excel 2010:

youtube.com/watch?v=N1xwu8eSk7kExcel 2013+:

youtube.com/

watch?v

=AfAG61UWsWA

Interpreting your Data: GRAPH IT

Slide35

Interpreting your Data: ComparePhoto: U. FloridaSTEP 3:

COMPARE your dataA) Simple methods

Likely NOT significantly different:

i.e. NO treatment differences

Likely significantly different:

i.e. one treatment was better“Significant Difference" = results seen are most likely NOT due to chance or natural variation

Slide36

Photo: U. FloridaSTEP 3: COMPARE your data

A) Simple methods (but may conclude differences are there when they are notB) More Involved, i.e.

use

statistical tests

(can be more sure that results mean something)Time to run a t-test!

Takes into account means, degree of overlap Calculates how certain we can be that there is a significant difference

Interpreting your Data:

Compare

Slide37

T-test: WHY WE HAVE GOOD BEER

Statistics: not just for dorks

William Sealy

Gosset

– inventor of the t-test and why Guinness is successful

Slide38

10 Basic Steps in a Research ProjectIdentify your research question and objective.Develop a research hypothesis.Decide what you will measure and what data you will collect.

Develop an experimental design.Choose the location and map out your field plots.

Implement

the project.

Make observations and keep records throughout the season.Collect research data.Analyze the data.Interpret the data and draw conclusions.

Outline

Source: SARE Grant Learning Centre

Slide39

Photo: U. FloridaSTEP 4: Do an ECONOMIC analysis

Interpreting your Data:

The Big Picture

Biostimulant

Trial

GoalEffectsBenefitsConsiderationsReduce crop susceptibility to stress

Quantifiable

Fewer losses

($)

Lower IPM costs

($)

Market expansion

($)

Cost

of Product

($)

Cost of Application

($)

Non- Quantifiable:

Greater piece

of mind

Sustainability

Cost

p

er

crop

? Per row?

P

er

b

ushel? Cost of being wrong???

Slide40

Crop

Week

1

10 20 30 40 50

Crop 1

1,289,741 (

incl

, 2", 4" and 6" and 8")

Crop 2

58,104 (4” - 26,588) (6” – 31,516)

Crop 3

32,025

Crop 4

27,967 (

incl

4” and 6”)

Crop 5

15,329

Crop 6

7,757 (incl. 8” and 10”)

Crop 7

22,151

Crop 8

72,440 (incl. 4” and 6”)

Crop 9

29,782

Greenhouse Example

Slide41

Biocontrol costs by crop

Slide42

Crop 2

Slide43

So you didn’t see much difference…..Effects of most Biostimulants are likely more subtle than things like changing pesticides or varying NPKLikely require MULTI-YEAR trials; pool data

Managing Expectations

Slide44

When Good Research Goes BadWelcome to research!Can you still reach a conclusion? The take away:Did you try to do too much?Does it give you guidelines for what “not to do”?

Slide45

YOUR OMAFRA crop specialistIan MacDonald, OMFRA Applied Research Coordinatorian.mcdonald@ontario.cahttps://www.sare.org/Learning-Center/Bulletins/How-to-Conduct-Research-on-Your-Farm-or-Ranch/Text-VersionVideo Series, Conducting on Farm Research, Univ. of Nebraska CropWatch:https://www.youtube.com/playlist?list=PLdssrgg38jJ2Qaf3heqE_ne6ecce-j7ud

Resources