cotton research oklahoma state university. exp. 439, altus ok 1972-2006

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Cotton Research Oklahoma State University

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Page 1: Cotton Research Oklahoma State University. Exp. 439, Altus OK 1972-2006

Cotton Research Cotton Research Oklahoma State UniversityOklahoma State University

Page 2: Cotton Research Oklahoma State University. Exp. 439, Altus OK 1972-2006

Exp. 439, Altus OK 1972-2006Exp. 439, Altus OK 1972-2006

Exp. 439

0

200

400

600

800

1000

1200

1400

1600

1800

2000

1970 1975 1980 1985 1990 1995 2000 2005 2010

Year

Yie

ld,

lb/a

c

0

135 kg n/ha

*

Page 3: Cotton Research Oklahoma State University. Exp. 439, Altus OK 1972-2006

Exp. 439, Altus OK 1972-2006Exp. 439, Altus OK 1972-2006

RI by rate

0

0.5

1

1.5

2

2.5

3

1972 1978 1983 1988 1993 1999 2004

RI

45

90

135

180

225

Page 4: Cotton Research Oklahoma State University. Exp. 439, Altus OK 1972-2006

Exp. 439, Altus OK 1972-2006Exp. 439, Altus OK 1972-2006

0

0.5

1

1.5

2

2.5

3

1972 1978 1983 1988 1993 1999 2004

RI

averaged over N-rates

average RI

Page 5: Cotton Research Oklahoma State University. Exp. 439, Altus OK 1972-2006

N Rate Algorithm TrialN Rate Algorithm Trial

• Location: Lake Carl Blackwell• Plot Size: 20 x 10’• Alley width: 5’• Total area: 95 x 150• Planting Date: May 15, 2006• Harvest Date: October 9, 2006• Fertilizer P applied preplant and

incorporated, 30 lb P2O5/ac as 0-46-0• Tillage: 2 disc’s preplant followed by a rolling

coulter

• Location: Lake Carl Blackwell• Plot Size: 20 x 10’• Alley width: 5’• Total area: 95 x 150• Planting Date: May 15, 2006• Harvest Date: October 9, 2006• Fertilizer P applied preplant and

incorporated, 30 lb P2O5/ac as 0-46-0• Tillage: 2 disc’s preplant followed by a rolling

coulter

Page 6: Cotton Research Oklahoma State University. Exp. 439, Altus OK 1972-2006

Treatment StructureTreatment Structure

TRT Preplant N Rate Topdress N Rate Growth Stage PIX

1 0 0 - As needed

2 50 0 - As needed

3 100 0 - As needed

4 150 0 - As needed

5 200 0 - As needed

6 50 50 Early square As needed

7 50 100 Early square As needed

8 50 150 Early square As needed

9 0 100 Early square As needed

10 0 150 Early square As needed

11 0 200 Early square As needed

12 0 SBNRC Early square As needed

13 50 SBNRC Early square As needed

14 50 0 + PIX

15 200 0 No PIX

Page 7: Cotton Research Oklahoma State University. Exp. 439, Altus OK 1972-2006

1

9

5

3

82131171151012143645

15

3

12

914213104576111283

8714151364110911212

144152711915810613

1

9

5

3

82131171151012143645

15

3

12

914213104576111283

8714151364110911212

144152711915810613

I

IV

II

III

Cotton TrialLake Carl Blackwell

Plot Size : 20’ x 10’Alley Width : 5’Total Area : 95’ x 150’

N

W E

S

Page 8: Cotton Research Oklahoma State University. Exp. 439, Altus OK 1972-2006

N Rate Algorithm TrialN Rate Algorithm Trial

• Variety: Monsanto NG3273B2RF • The Cotton Variety was NexGen

3273B2RF.  It is a stacked trait variety with Roundup-Ready Flex (allows for multiple applications of Round-up throughout the growing season) and Bollgard 2 (newest Bt product for cotton).  NexGen cotton varieties are stripper varieties

• Variety: Monsanto NG3273B2RF • The Cotton Variety was NexGen

3273B2RF.  It is a stacked trait variety with Roundup-Ready Flex (allows for multiple applications of Round-up throughout the growing season) and Bollgard 2 (newest Bt product for cotton).  NexGen cotton varieties are stripper varieties

Page 9: Cotton Research Oklahoma State University. Exp. 439, Altus OK 1972-2006

LCB Cotton 5-2-06NH4-N NO3-N K P pHppm ppm ppm ppm5.725 7.075 146 26 6.69

Page 10: Cotton Research Oklahoma State University. Exp. 439, Altus OK 1972-2006

Square growth mid-pointJuly 6, 2006

y = 384.13x - 42.44R2 = 0.136

0

50

100

150

200

250

300

350

400

0.20 0.30 0.40 0.50 0.60 0.70 0.80

NDVI

Lin

t yi

eld

, lb

/ac

Page 11: Cotton Research Oklahoma State University. Exp. 439, Altus OK 1972-2006

Candle white bloom July 10, 2006

y = 467.89x - 74.293R2 = 0.1811

0

50

100

150

200

250

300

350

400

0.20 0.30 0.40 0.50 0.60 0.70 0.80

NDVI

Lin

t yi

eld

, lb

/ac

Page 12: Cotton Research Oklahoma State University. Exp. 439, Altus OK 1972-2006

7-19 Flowering 5-7 days July 19, 2006

y = 642.16x - 265.15R2 = 0.3616

0

50

100

150

200

250

300

350

400

0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90

NDVI

Lin

t yi

eld

, lb

/ac

Page 13: Cotton Research Oklahoma State University. Exp. 439, Altus OK 1972-2006

7-21 Boll (un developed cotyledon) July 21, 2006

y = 622.37x - 229.01R2 = 0.3414

0

50

100

150

200

250

300

350

400

0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90

NDVI

Lin

t yi

eld

, lb

/ac

Page 14: Cotton Research Oklahoma State University. Exp. 439, Altus OK 1972-2006

8-3 Well defined black layerAugust 3, 2006

y = 622.37x - 229.01R2 = 0.3414

0

50

100

150

200

250

300

350

400

0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90

NDVI

Lin

t yi

eld

, lb

/ac

Page 15: Cotton Research Oklahoma State University. Exp. 439, Altus OK 1972-2006

If too much N has been applied what are the visible indicators?If too much N has been applied what are the visible indicators?

• Delayed maturity• Compared to zero-N plots • Leaf N will be higher in the over-

fertilized plots

• Delayed maturity• Compared to zero-N plots • Leaf N will be higher in the over-

fertilized plots

Page 16: Cotton Research Oklahoma State University. Exp. 439, Altus OK 1972-2006

If not enough N has been applied, and more is needed mid-season,what should we look for?

If not enough N has been applied, and more is needed mid-season,what should we look for?

• Leaf N < 90-95 % of over-fertilized plots or strips.

• New fruits can shed• Developing bolls will be smaller

• Leaf N < 90-95 % of over-fertilized plots or strips.

• New fruits can shed• Developing bolls will be smaller

Page 17: Cotton Research Oklahoma State University. Exp. 439, Altus OK 1972-2006

What to do?What to do?

• Zero-N Strip

• Farmer Practice

• Nitrogen Rich Strip

• N management in Texas and Oklahoma is too N rich.

• Zero-N Strip

• Farmer Practice

• Nitrogen Rich Strip

• N management in Texas and Oklahoma is too N rich.

ENVIRONMENT ?

Page 18: Cotton Research Oklahoma State University. Exp. 439, Altus OK 1972-2006

• Improved Mid-Season N Management• Can we estimate RI in cotton similar to

wheat and corn?• Can we estimate yield potential and use a

YP0 * RI algorithm approach?

• The Ramp Calibration Strip should help us to define optimum N rates and to avoid excessive vegetative growth

• Improved Mid-Season N Management• Can we estimate RI in cotton similar to

wheat and corn?• Can we estimate yield potential and use a

YP0 * RI algorithm approach?

• The Ramp Calibration Strip should help us to define optimum N rates and to avoid excessive vegetative growth

Page 19: Cotton Research Oklahoma State University. Exp. 439, Altus OK 1972-2006

N ManagementN Management

• Preplant Soil Test 0-24”• Dryland: 30-50 lb N/acre• Irrigated: 60 lb N/bale of yield goal• Mid-season N (June, 1st square)• Use of N Rich and 0-N (visual)• Last N Applied (peak bloom)

• Preplant Soil Test 0-24”• Dryland: 30-50 lb N/acre• Irrigated: 60 lb N/bale of yield goal• Mid-season N (June, 1st square)• Use of N Rich and 0-N (visual)• Last N Applied (peak bloom)

Page 20: Cotton Research Oklahoma State University. Exp. 439, Altus OK 1972-2006

Sensor Based N AlgorithmSensor Based N Algorithm

• On-off based on vegetative Green optimum and coverage threshold

• On-off decision of “if/then, and/or” for N or growth regulator

• To start, these decision tools need to be simple (yes/no). Management zones, (high-med-low) approaches can come later.

• On-off based on vegetative Green optimum and coverage threshold

• On-off decision of “if/then, and/or” for N or growth regulator

• To start, these decision tools need to be simple (yes/no). Management zones, (high-med-low) approaches can come later.