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Development of Cotton N Fertilization Algorithms, Southern USA Kevin Bronson Brenda Tubana Brian Arnall

Development of Cotton N Fertilization Algorithms, Southern USA

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Development of Cotton N Fertilization Algorithms, Southern USA. Kevin Bronson Brenda Tubana Brian Arnall. Improved Strategies for Nitrogen Management in Subsurface Drip Irrigated Cotton. Kevin F. Bronson, Adi Malapati Jason Nusz , Jeff Johnson. - PowerPoint PPT Presentation

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Page 1: Development of Cotton N Fertilization Algorithms, Southern USA

Development of Cotton N Fertilization Algorithms, Southern USA

Kevin BronsonBrenda Tubana

Brian Arnall

Page 2: Development of Cotton N Fertilization Algorithms, Southern USA

Kevin F. Bronson, Adi Malapati Jason Nusz, Jeff Johnson

Texas A & M AgriLife Res, and Texas Tech Univ. Lubbock, TX

Improved Strategies for Nitrogen Management in Subsurface Drip Irrigated

Cotton

Page 3: Development of Cotton N Fertilization Algorithms, Southern USA

Treatments • Soil test based N mgt (STB) 32-0-0 injected early square to mid bloom

for 2.5 bale/ac yield goal (125 lb N/ac – 0-24 in soil test NO3-N – irrigation water NO3)

• 0.5 X Soil test based (0.5 STB)

• 1.5 X Soil test based (1.5 STB)

• Zero-N (1 plot/station/rep)

• Reflectance-based mgt 1: initially 0.5 STB N rate, N injection rate adjusted upwards to STB rate when NDVI REF1 is statistically < NDVI REF1.

• Reflectance-based mgt 2 : initially STB N rate, N injection rate adjusted upwards to 1.5 STB rate when NDVI REF2 is statistically < NDVI 1.5 STB.

Page 4: Development of Cotton N Fertilization Algorithms, Southern USA

First open boll biomass, N accumulation, N fertilizer recovery efficiency, seed and lint yields as affected by nitrogen management, Lubbock, TX, 2007.

N treatment N fertilizer injecteda

Total N uptake

Recovery efficiency Biomass Seed yield Lint

yield

---- lb N/ac ----- % --------------- lb/ac --------------

1.5*STB 120 - - - 2379 a 1347 a  

Refl- strategy 2 90 131 a* 62 a 7666 a 2253 a 1330 a  

STB 80 128 a 65 a 7704 a 2241 a 1326 a  

Refl.strategy 1 62 120 a 72 a 7561 a 2350 a 1372 a  

0.5*STB 40 - - - 2270 a 1365 a  

Zero-N 0 76 - 5362 1692 1062  a Injected from 11 July to 11 August*Means in a column followed by the same letter are not significantly different at P = 0.05

Page 5: Development of Cotton N Fertilization Algorithms, Southern USA

N treatment N fertilizer injected1

Total N uptake

Recovery efficiency Biomass Seed

yieldLint yield

--------- lb N/ac ------ % --------------- lb/ac -------------

1.5*STB 94 138 a 75 a 7993 a 2553 a 1532 a  

Refl.strategy 2 62 - - - 2572 a 1586 a  

STB 62 130 a 101 a 7546 a 2455 a 1495 a  

Refl.strategy 1 46 110 b 94 a 6587 b 2542 a 1538 a  

0.5*STB 31 - - - 2129 b 1283 b  

Zero-N 0 67 - 4968 1640 1006  

First open boll biomass, N accumulation, N fertilizer recovery efficiency, seed and lint yields as affected by nitrogen management, Lubbock, TX, 2008.

a Injected from 26 June to 16 July and 5 to 8 August*Means in a column followed by the same letter are not significantly different at P = 0.05

Page 6: Development of Cotton N Fertilization Algorithms, Southern USA

N treatmentN

fertilizer injected1

Total N uptake

Recovery Efficiency

Biomass

Seed yield

Lint yield

---------- lb N/ac ------- % --------------- lb/ac

-------------

1.5*STB 72 124 a 47 a 7761 a 2526 a 1527 a

Refl.strategy 2 48 - - - 2487 ab 1509 a

STB 48 114 a 49 a 7670 a 2471 ab 1522 a

Refl.strategy 1 24 109 a 77a 8058 a 2581 a 1610 a

0.5*STB 24 - - - 2326 b 1487 a

Zero-N 0 90 - 6962 2029 1336

First open boll biomass, N accumulation, N fertilizer recovery efficiency, seed and lint yields as affected by nitrogen management, Lubbock, TX, 2009

Page 7: Development of Cotton N Fertilization Algorithms, Southern USA

Summary of three years of Refl. Strategy 1 N fertilizer management in SDI cotton, Lubbock, TX, 2007-2009

Units 2007 2008 2009

0-24 inch NO3 lb /ac 17 30 18

Starter N fertilizer lb N/ac 0 10 22

Irrigation NO3 lb N/ac 20 30 22

Injected fertilizer lb N/ac 62 46 24

Recovery efficiency % 72 94 77

Lint yield lb /ac 1372 1538 1610

Page 8: Development of Cotton N Fertilization Algorithms, Southern USA

Summary of three years of soil test based strategy for N fertilizer management in SDI cotton, Lubbock, TX, 2007-2009

Units 2007 2008 2009

0-24 inch NO3 lb /ac 24 35 21

Starter N fertilizer lb N/ac 0 10 22

Irrigation NO3 lb N/ac 20 30 22

Injected fertilizer lb N/ac 80 62 48

Recovery efficiency % 65 101 49

Lint yield lb /ac 1326 1495 1522

Page 9: Development of Cotton N Fertilization Algorithms, Southern USA

Conclusions

• Recovery efficiency of daily injection of N between early square and mid bloom was 62 to 94 %.

• Reflectance-based N management strategy1 saved 22, 26, and 50 % N compared to soil test based management during 2007, 2008, and 2009, respectively.

• EONRs ranged from 22 to 68 lb N/ac for lint.

Page 10: Development of Cotton N Fertilization Algorithms, Southern USA

LSU

Page 11: Development of Cotton N Fertilization Algorithms, Southern USA

• 2009– NDVI and Yield best correlated at later stage. 4

weeks after first bloom – RI NDVI and RI yield best correlated at 2 weeks

after first bloom• Tested 08 algorithm

Page 12: Development of Cotton N Fertilization Algorithms, Southern USA

Table 1. Lint grain yield and optimal nitrogen rates estimated using linear-plateau model and sensor-based N decision tool

Site N Response Trial* Sensor-Based, Split N Rate†

lbs/ac Lint Yield‡

lbs/ac Total N Rate

lbs/ac Lint Yield

lbs/ac Commerce silty clay loam 110 1257 120 (45-75) 1045 Sharkey clay 112 902 98 (0-98) 802 Gigger silt loam 90 1220 64 (45-19) 1056

*N response trial – constituted the plots that received step-wise increment of N from 0 to 150 lbs/ac. † N rate – optimal N rate estimated by non-linear regression analysis (linear-plateau model). ‡ Lint Yield – maximum yield that can be attained with the corresponding optimal N rate. Table 2. Lint yield applied with commonly-applied flat N rate and rates recommended

by sensor-based N decision tool . Site Scheme N Application Rate

lbs/ac Lint Yield

lbs/ac Split Rate Total

Sharkey clay‡ Flat 0-60 60 540 Sensor 0-98 98 802 Commerce silty clay loam Flat 45-45 90 1143 Sensor 45-75 120 1045 Gigger silt loam Flat 45-45 91 1182 Sensor 45-16 64 1056 ‡ - N was not applied at planting.

Page 13: Development of Cotton N Fertilization Algorithms, Southern USA

Ok State

• 4 years of Data– Stillwater and Altus

• NDVI and Cumulative GDD’s • First White Flower• Environment

Page 14: Development of Cotton N Fertilization Algorithms, Southern USA

Yield Prediction

0.0003 0.0004 0.0005 0.0006 0.0007 0.0008 0.0009 0.00100

500

1000

1500

2000

2500

3000

f(x) = 174.120525260041 exp( 3668.12834211478 x )R² = 0.508564742494368

f(x) = 20.7567448124509 exp( 4818.43614872994 x )R² = 0.824581137299074

LCB

Page 15: Development of Cotton N Fertilization Algorithms, Southern USA

YP Models

0.0003 0.0004 0.0005 0.0006 0.00070

500

1000

1500

2000

2500

f(x) = 231.579600000001 exp( 3668.09999999999 x )

f(x) = 174.120525260042 exp( 3668.12834211477 x )R² = 0.508564742494366

South West

INSEY (NDVI / Cum GDD)

Lint

Yie

ld K

g ha

0.0004 0.0005 0.0006 0.0007 0.0008 0.00090

500

1000

1500

2000

2500

f(x) = 29.31852 exp( 4725.79999999999 x )

f(x) = 22.043707195574 exp( 4725.78765123985 x )R² = 0.811253945853535

North Central

INSEY (NDVI / Cum GDD)

Lint

Yie

ld K

g ha

Page 16: Development of Cotton N Fertilization Algorithms, Southern USA

Response Index

0.80 0.90 1.00 1.10 1.20 1.30 1.40 1.50 1.600.0

0.5

1.0

1.5

2.0

2.5

3.0

LCBAltus

RI NDVI

RI H

arve

st

Page 17: Development of Cotton N Fertilization Algorithms, Southern USA

2010

• Continue Catch-up and YP trials (long-term).• SBNRC trts. • Altus

– 30 lb pre 62 lbs applied (42-96)– 60 lb pre 26 lbs applied (17-42)

• LCB – 0 lb pre 28 lbs applied ( 17-45)– 40 lb pre 16 lbs applied (4-27)

Page 18: Development of Cotton N Fertilization Algorithms, Southern USA

Thank you