predicting grain yield potential using corn hybrids having improved drought tolerance

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Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance Eric C. Miller Jeremiah L. Mullock, Jacob T. Bushong, and William R. Raun NUE Conference Sioux Falls, SD August 5 th , 2014

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Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance. Eric C. Miller Jeremiah L. Mullock , Jacob T. Bushong , and William R. Raun NUE Conference Sioux Falls, SD August 5 th , 2014. Drought. - PowerPoint PPT Presentation

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Page 1: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

Predicting Grain Yield Potential Using Corn

Hybrids Having Improved Drought Tolerance

Eric C. Miller

Jeremiah L. Mullock, Jacob T. Bushong, and William R. Raun

NUE ConferenceSioux Falls, SD

August 5th, 2014

Page 2: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

Drought

The 2012 drought, 597 counties in 14 states primary natural disaster areas (USDA,

2013). $14 billion in crop insurance indemnity

payments (Congressional Budget Office, 2013).

Page 3: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

Drought effects on corn

Figure adapted from Nielsen, 2007

Page 4: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

Cold shock protein B gene ◦ Called ‘cspB’◦ Bacillus subtilis bacterium

Cold shock proteins accumulate Act as RNA chaperones Bind and unfold tangled RNA molecules to

promote normal function (Castiglioni et al., 2008)

Transgenic trait/GMO

http://www.lhsc.on.ca/_images/Genetics/centraldogma.jpg

Page 5: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

Express native drought tolerant traits using marker assisted selection (Butzen and Schussler, 2009)

Conventional breeding

Page 6: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

YP0 (kg ha-1) = 1291exp[(NDVIFP/Cumulative GDD)*2649.9]◦ GDD = [(TMax+Tmin/2)–Tbase

◦ 10 oC and 30 oC are threshold values

RI = NDVIN-Rich/NDVIFarmerPractice

YPN (Mg ha-1) = YP0*RI

N Rate (kg ha-1) = YPN-YP0*0.0125/NUE

OSU grain yield prediction approach

Page 7: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

Objective

Evaluate grain yield potential ◦ Drought tolerant and less drought tolerant

corn hybrids ◦ Irrigated and rainfed production systems

Page 8: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

Experiment sites

LCB Efaw Established in 2013 and has continued in 2014

3 replicates 4 row plots, 6.1 m long Soils:

◦ Efaw Norge: Fine-silty, mixed, active, thermic Udic

Paleustolls◦ Lake Carl Blackwell (LCB)

Port: Fine-silty, mixed, superactive, thermic Cumulic Haplustolls, Oscar: Fine-silty, mixed, superactive, thermic, Typic Natrustalfs

Page 9: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

Genetics ◦ Drought tolerant

Pioneer P1498: Optimum AQUAmax Monsanto 63-55: Droughtgard

◦ Less drought tolerant Pioneer P1395 Monsanto 62-09

Environment x Management

Experimental design: GxExM

Photo Courtesy of Jacob Bushong

◦ Rainfed production system Preplant N rates

0, 67, and 134 kg ha-1

Seeding rate 53,800 seeds ha-1

◦ Irrigated production system Preplant N rates

0, 101, and 202 kg ha-1

Seeding rate 75,650 seeds ha-1

Page 10: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

Data collection

NDVI collected with Trimble GreenSeeker optical sensor◦ V8 and V10

Grain yield (kg ha-1)◦ Center two rows per plot◦ Adjusted to 155 g kg-1 moisture

http://web.extension.illinois.edu/nwiardc/eb270/20121015_6040.html

Page 11: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

Main effects and interactions for normalized difference vegetative index (NDVI660) and grain yield at Efaw and Lake Carl Blackwell (LCB), 2013.

Efaw LCBNDVI:

V8NDVI:V10

Grain Yield

NDVI:V8

NDVI:V10

Grain Yield

----------------- Pr > F -----------------Irrigation 0.012 0.003 0.002 0.001 0.059 0.001

Hybrid 0.004 0.025 0.297 0.001 0.014 0.292

N Rate 0.091 0.021 0.722 0.001 0.002 0.017

Irrigation x Hybrid 0.314 0.054 0.529 0.612 0.939 0.705

Irrigation x N Rate 0.435 0.033 0.503 0.045 0.520 0.027

Hybrid x N Rate 0.952 0.346 0.795 0.840 0.226 0.684

Irrigation x Hybrid x N Rate

0.095 0.058 0.084 0.006 0.168 0.548

Analysis of variance

Page 12: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

0 0.00025 0.0005 0.00075 0.001 0.001250

2500

5000

7500

10000

12500

15000

17500

20000

f(x) = 1291 exp( 2649.9 x )

DT: Irrigated DT: Rainfed Non-DT: Irrigated Non-DT: Rainfed

NDVI660/cumulative GDD

Gra

in Y

ield

(kg

ha-1

)Potential grain yield : V8-V10

= Current YP0 equation

Page 13: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

0 5000 10000 15000 20000 25000 300000

5000

10000

15000

20000

25000

f(x) = 0.2019 x + 3091.9R² = 1

DT: Irrigated DT: Rainfed Non-DT: IrrigatedNon-DT: Rainfed

Potential Grain Yield (kg ha-1)

Actu

al G

rain

Yie

ld (

kg

ha-1

)

Potential and actual yield: V8-V10

Page 14: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

Efaw

- Irr

igat

ed

Efaw

- Rai

nfed

LCB

- Irrig

ated

LCB

- Rai

nfed

0

2000

4000

6000

8000

10000

Pioneer P1498Dekalb 63-55Pioneer P1395Dekalb 62-09

Gra

in Y

ield

(kg

ha-1

)

Non-drought tolerant

Grain yield by hybrid

Drought tolerant

Page 15: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

Single degree of freedom contrasts and differences of the means for grain yield (kg ha-1) at Efaw and LCB, 2013.

Efaw LCB

P > F Diff. P > F Diff.

Drought tolerant vs. Less drought tolerant 0.416 -485 0.928 84

Monsanto vs. Pioneer 0.110 994 0.065 832

Droughtgard vs. AQUAmax 0.116 1380 0.139 916

Hybrid grain yield differences

Page 16: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

Few differences existed between DT and non-DT corn hybrids when predicting potential grain yield

Clear differences were detected between irrigated and rainfed production systems

Potential grain yield was over-predicted

Conclusions

Page 17: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

Questions?

Page 18: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

Evaluation of the Trimble Experimental Sensor

Eric C. Miller

Jeremiah L. Mullock, Jacob T. Bushong, and William R. Raun

NUE ConferenceSioux Falls, SD

August 5th, 2014

Page 19: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

AppearanceGreenSeeker

Trimble Experimental Sensor

Page 20: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

Sensor footprint – 36” high

36”

¾”GreenSeeker

30”

15”Trimble Experimental

Sensor

Page 21: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

Recon or Nomad vxHpc - hyperterminal program

◦ Reflectance of red and NIR bands individually Microsoft Access

data query◦ Calculate NDVI◦ Plot averages

Data storage and processing

Page 22: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

How does NDVI660 collected with the Trimble Experimental Sensor relate to GreenSeeker NDVI660?

Data collection◦ 2013 and 2014◦ Wheat

Feekes 3 to 9◦ Corn

V6 to V12

Research question

Photo Courtesy of Jeremiah Mullock

Page 23: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

0.0 0.2 0.4 0.6 0.8 1.00.0

0.2

0.4

0.6

0.8

1.0

f(x) = 1.05714692095578 x + 0.0066996118103R² = 0.934602262135474

Trimble Experimental Sensor NDVI

Gre

en

Seeker

Sen

sor

ND

VI

Slope = 1 Intercept = 0

= Corn = Wheat

Relationship with GreenSeeker: All Data

Page 24: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

0.0 0.2 0.4 0.6 0.8 1.00.0

0.2

0.4

0.6

0.8

1.0

f(x) = 0.953085467093017 x + 0.03408259568074R² = 0.954205548125265

Trimble Experimental Sensor NDVI

Gre

en

Seeker

Sen

sor

ND

VI

Slope = 1 Intercept = 0

= Wheat

Relationship with GreenSeeker: Wheat Data

Page 25: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

0.0 0.2 0.4 0.6 0.8 1.00.0

0.2

0.4

0.6

0.8

1.0

f(x) = 1.20690974373061 x − 0.012978391207896R² = 0.973514008235173

Trimble Experimental Sensor NDVI

Gre

en

Seeker

Sen

sor

ND

VI

Slope = 1 Intercept = 0

= Corn

Relationship with GreenSeeker: Corn Data

Page 26: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

Overall, good relationship between the GreenSeeker and Trimble experimental sensor

Clear differences between crops◦ Possible need for a calibration for corn to utilize

current algorithms◦ Further evaluation of high biomass corn data

Conclusions

Page 27: Predicting Grain Yield Potential Using Corn Hybrids Having Improved Drought Tolerance

Questions?