Integrating Probable Fieldwork Days into Nutrient Management Plans

33
Integrating Probable Field Work Days into Nutrient Management Plans John Lory, Ray Massey and Pat Guinan University of Missouri

description

http://www.extension.org/67619 Weather conditions impact land application of manure. Wet soils hinder equipment from accessing fields. Regulations prohibit application on frozen or snow cover soils. Uncertain soil and atmospheric conditions can cause the best plans to fail. Nutrient management plans that are expected to succeed might fail given any particular year’s weather. Incorporating fieldwork days information into nutrient management plans can make them more robust to uncertain weather conditions. The USDA publishes the number of fieldwork days for different crop reporting districts within states. These data are from field reporters who provide their opinion on the number of days that were available for farmers to conduct fieldwork such as disking, planting and harvesting. USDA Fieldwork Days data cover the growing season (approximately April to December). Estimates of fieldwork days do not exist for the non-growing season (approximately December to April). However, certain states have agricultural weather station networks that collect soil temperature and other critical information that can be used to estimate the number of fieldwork days that exist for manure application within regulatory limits. This project integrates fieldwork days from the USDA Fieldwork Days data with the Missouri Agricultural Weather Station Network winter soil temperature and precipitation data for the corresponding crop reporting district. This compiled database gives a complete year of fieldwork day estimates. The data are used in a model that allows nutrient management planners to incorporate climatological impacts into their land application plans. Users specify their equipment complement and size, quantity of manure, and desired beginning and ending dates. The model reports output in a cumulative distribution function that estimates the probability of completing fieldwork within the specified parameters and a sensitivity table of ending dates.

Transcript of Integrating Probable Fieldwork Days into Nutrient Management Plans

Page 1: Integrating Probable Fieldwork Days into Nutrient Management Plans

Integrating ProbableField Work Days into Nutrient Management PlansJohn Lory, Ray Massey and Pat GuinanUniversity of Missouri

Page 2: Integrating Probable Fieldwork Days into Nutrient Management Plans

Feasibility of plansAre we doing our job?

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Fieldwork Days Database

April through November USDA data – ▪ Reporters’ opinion of soil conditions allowing

equipment into the field▪ Reported as “days per week”▪ Over 30 years of data▪ http

://www.nass.usda.gov/Statistics_by_State/Missouri/Publications/Crop_Progress_and_Condition/

Probability tool originally developed for Missouri. Work to expand to IA, IL, and KS.

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NW Missouri Field Workdays

Mar

27

Apr 1

0

Apr 2

4

May

08

May

22

Jun

05

Jun

19

Jul 0

3

Jul 1

7

Jul 3

1

Aug

14

Aug

28

Sep

11

Sep

25

Oct 0

9

Oct 2

3

Nov 0

6

Nov 2

00

1

2

3

4

5

6

7

Days p

er

week

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NC Missouri Field Workdays

Mar

27

Apr 1

0

Apr 2

4

May

08

May

22

Jun

05

Jun

19

Jul 0

3

Jul 1

7

Jul 3

1

Aug

14

Aug

28

Sep

11

Sep

25

Oct 0

9

Oct 2

3

Nov 0

6

Nov 2

00

1

2

3

4

5

6

7

Days p

er

week

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NE Missouri Field Workdays

Mar

27

Apr 1

0

Apr 2

4

May

08

May

22

Jun

05

Jun

19

Jul 0

3

Jul 1

7

Jul 3

1

Aug

14

Aug

28

Sep

11

Sep

25

Oct 0

9

Oct 2

3

Nov 0

6

Nov 2

00

1

2

3

4

5

6

7

Days p

er

week

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WC Missouri Field Workdays

Mar

27

Apr 1

0

Apr 2

4

May

08

May

22

Jun

05

Jun

19

Jul 0

3

Jul 1

7

Jul 3

1

Aug

14

Aug

28

Sep

11

Sep

25

Oct 0

9

Oct 2

3

Nov 0

6

Nov 2

00

1

2

3

4

5

6

7

Days p

er

week

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C Missouri Field Workdays

Mar

27

Apr 1

0

Apr 2

4

May

08

May

22

Jun

05

Jun

19

Jul 0

3

Jul 1

7

Jul 3

1

Aug

14

Aug

28

Sep

11

Sep

25

Oct 0

9

Oct 2

3

Nov 0

6

Nov 2

00

1

2

3

4

5

6

7

Days p

er

week

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EC Missouri Field Workdays

Mar

27

Apr 1

0

Apr 2

4

May

08

May

22

Jun

05

Jun

19

Jul 0

3

Jul 1

7

Jul 3

1

Aug

14

Aug

28

Sep

11

Sep

25

Oct 0

9

Oct 2

3

Nov 0

6

Nov 2

00

1

2

3

4

5

6

7

Days p

er

week

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SW Missouri Field Workdays

Mar

27

Apr 1

0

Apr 2

4

May

08

May

22

Jun

05

Jun

19

Jul 0

3

Jul 1

7

Jul 3

1

Aug

14

Aug

28

Sep

11

Sep

25

Oct 0

9

Oct 2

3

Nov 0

6

Nov 2

00

1

2

3

4

5

6

7

Days p

er

week

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SC Missouri Field Workdays

Mar

27

Apr 1

0

Apr 2

4

May

08

May

22

Jun

05

Jun

19

Jul 0

3

Jul 1

7

Jul 3

1

Aug

14

Aug

28

Sep

11

Sep

25

Oct 0

9

Oct 2

3

Nov 0

6

Nov 2

00

1

2

3

4

5

6

7

Days p

er

week

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SE Missouri Field Workdays

Mar

27

Apr 1

0

Apr 2

4

May

08

May

22

Jun

05

Jun

19

Jul 0

3

Jul 1

7

Jul 3

1

Aug

14

Aug

28

Sep

11

Sep

25

Oct 0

9

Oct 2

3

Nov 0

6

Nov 2

00

1

2

3

4

5

6

7

Days p

er

week

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Key Inputs for Hours Needed – Spreaders & Tankers

Equipment Inputs to Estimate Application Time Capacity of spreader/tanker Application width Application travel speed Applicator discharge rate

Travel time Infield travel time Road travel time

Applicator load time

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Key Inputs for Hours Needed – Spreaders & Tankers

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Key Inputs for Hours Needed – Spreaders & Tankers

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Poultry Litter Example

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Key Inputs for Hours Needed – Spreaders & Tankers

Equipment Inputs to Estimate Application Time Capacity of spreader/tanker Application width Application travel speed Applicator discharge rate

Travel time Infield travel time Road travel time

Applicator load time

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Tanker-Injection: Corn

4,800 Grow-Finish Operation Generates enough manure to provide N for 400 acres of

corn. Application rate 175 lbs N/A (4,375 gal/A) Fields average 1 mile from barn

Land Application Equipment 6000 gallon tanker 15-foot swath injector Travel speeds:

▪ Road: 10 mph▪ In field, not applying: 7 mph▪ In field, applying: 3.4 mph (requires 450 gal/min discharge rate)▪ Loading time: 10 minutes/load

Application time estimate: 200 hours Application efficiency estimate: 0.36

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Tanker-Injection: Corn

Scenario 1 Northwest Missouri Apply in April Run tanker up to 12 hours per day, 6 days per week

Need 200 hours

Analysis Mean:

130 hours fieldwork in April

12 % probability of success00.10.20.30.40.50.60.70.80.91

0 50 100 150 200 250 300

Pro

bab

lity

of C

om

ple

tion

Hours Available

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00.10.20.30.40.50.60.70.80.91

0 100 200 300 400 500 600

Pro

bab

lity

of C

om

ple

tion

Hours Available

Tanker-Injection: Corn

Solution 1 (need 200 hrs): Expand application to May (Apply April to June 2 (2 months))

Mean: 305 hours fieldwork in April-May

87% probability of success

April-May

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00.10.20.30.40.50.60.70.80.91

0 50 100 150 200 250 300

Pro

bab

lity

of C

om

ple

tion

Hours Available

Tanker-Injection: Corn

Solution 2: Increase tank size to 7200 gal. Get a nurse tank

(road time goes to zero) Need 130 hours

Mean: 130 hours fieldwork in April

53% probability of success

April

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00.10.20.30.40.50.60.70.80.91

0 100 200 300 400 500 600

Pro

bab

lity

of C

om

ple

tion

Hours Available

Tanker-Injection: Corn

Solution 3: Increase tank size to 7200 gal. Get a nurse tank

(road time goes to zero) Apply April to June 2 (2 months) Need 130 hours

Mean: 305 hours fieldwork in April plus May

April 1 – June 296% chance of success

April - May

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00.10.20.30.40.50.60.70.80.91

0 50 100 150 200 250 300

Pro

bab

lity

of C

om

ple

tion

Hours Available

Tanker-Injection: Corn

Solution 4: Increase tank size to 7200 gal. Get a nurse tank

(road time goes to zero) Move 33% of application to fall

Need 130 hours.

86 hours April71 % chance of success

44 hours from Nov. 18 -3080% chance of success in Nov.

April

00.10.20.30.40.50.60.70.80.91

0 20 40 60 80 100

Pro

bab

lity

of C

om

ple

tion

Hours Available

Nov. 18-30

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Tanker Injection:Sensitivity to 20% change

Field Dis-

tance (-)

Swath Width

(+)

Tanker size (+)

Road Travel Speed

(+)

Field Travel Speed

(+)

165

170

175

180

185

190

195

200

205

Base20% change

Hou

rs t

o c

over

40

0 a

cre

s

Field distance: 1.0 to 0.8 miles Tanker size: 6000 to 7200 gal. Field travel speed: 7.0 to 8.4 mphSwath width: 15 to 18 feet Road travel speed: 10 to 12 mph

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Looking to the future Expand to other states Integrate into nutrient management reporting

software Quantitative approach for April - November

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Fieldwork Days December to April

Not covered by the Fieldwork database Factors to consider

Soil temperature below 32oF (frozen soils) Snow cover Precipitation Saturated soils

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Probability of Frozen Soils

Jan-

01

Jan-

25

Feb-

18

Mar

-13

Apr-0

6

Apr-3

0

May

-24

Jun-

17

Jul-1

1

Aug-

04

Aug-

28

Sep-

21

Oct-1

5

Nov-0

8

Dec-0

2

Dec-2

60

0.10.20.30.40.50.60.70.80.9

1

Albany South Farm Lamar

Fra

cti

on

of

days s

oils a

re <

3

2oF o

n t

hat

day o

f t

he

year

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Days with 2-inch Soil Temperature Under Bare Conditions Greater than 32oF(December 1 to April 1: 120 days possible)

30 40 50 60 70 80 90 100 110 1200.0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1.0

Lamar Novelty South Farm

Pro

bab

ilit

y o

f su

ccess

Days wanted

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EditorialCritical to

integrate the concept of risk into nutrient management decisions.

http://swine.missouri.edu/swine/PDFM.xls

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Questions?