Development of a Response Index for Corn

13
Development of a Response Index for Corn Robert Mullen Ohio State University

description

Development of a Response Index for Corn. Robert Mullen Ohio State University. Response Index. RI first proposed by Johnson and Raun, 2003 (inverse of sufficiency index) RI = Yield of N Rich / Yield of Check (0N) Direct measure of N response. Response Index. - PowerPoint PPT Presentation

Transcript of Development of a Response Index for Corn

Page 1: Development of a Response Index for Corn

Development of a Response Index for Corn

Development of a Response Index for Corn

Robert Mullen

Ohio State University

Robert Mullen

Ohio State University

Page 2: Development of a Response Index for Corn

Response IndexResponse Index

• RI first proposed by Johnson and Raun, 2003 (inverse of sufficiency index)

• RI = Yield of N Rich / Yield of Check (0N)– Direct measure of N response

• RI first proposed by Johnson and Raun, 2003 (inverse of sufficiency index)

• RI = Yield of N Rich / Yield of Check (0N)– Direct measure of N response

Page 3: Development of a Response Index for Corn

Response IndexResponse Index

• Can we reliably predict the response to applied N during the growing season?

• Environmentally and economically important– Less N subject to denitrification, leaching, and

runoff– Produce more with less inputs

• Is the relationship stable at different stages of growth?

• Can we reliably predict the response to applied N during the growing season?

• Environmentally and economically important– Less N subject to denitrification, leaching, and

runoff– Produce more with less inputs

• Is the relationship stable at different stages of growth?

Page 4: Development of a Response Index for Corn

Response IndexResponse Index

• In-season estimates of RI were used to identify RI at harvest for winter wheat

• In-season estimates of RI were used to identify RI at harvest for winter wheat

y = 0.99x - 0.01

r2 = 0.65

0

0.5

1

1.5

2

2.5

3

3.5

4

0 1 2 3 4

RI-NDVI

RI-

Har

vest

y = 0.99x - 0.01

r2 = 0.65

0

0.5

1

1.5

2

2.5

3

3.5

4

0 1 2 3 4

RI-NDVI

RI-

Har

vest

Page 5: Development of a Response Index for Corn

Response IndexResponse Index

• Would RI for corn work as well?

• Can RI be identified at early stages of growth (< V8)?

• Would RI for corn work as well?

• Can RI be identified at early stages of growth (< V8)?

Page 6: Development of a Response Index for Corn

Response IndexResponse Index

• Varvel et al., 1997– Used SPAD meters to identify N response at

various stages of growth• V6 – R3

• Relationship has been established between GNDVI and SPAD meter reading (Shanahan et al., 2003)

• Varvel et al., 1997– Used SPAD meters to identify N response at

various stages of growth• V6 – R3

• Relationship has been established between GNDVI and SPAD meter reading (Shanahan et al., 2003)

Page 7: Development of a Response Index for Corn

Can RI work for corn?Can RI work for corn?

• Varvel data shows that pseudo-RI can be determined at various stages of growth– Very little data for some stages of growth– Lack of response at most locations (especially

where corn followed soybeans)

• Varvel data shows that pseudo-RI can be determined at various stages of growth– Very little data for some stages of growth– Lack of response at most locations (especially

where corn followed soybeans)

Page 8: Development of a Response Index for Corn

Can RI be estimated at early stages of growth?

Can RI be estimated at early stages of growth?

• Red NDVI determined significant difference between N rate at V4

• Red NDVI determined significant difference between N rate at V4

N rate RNDVI RNDVI

0 0.209 0.204

60 0.234 0.249

120 0.247 0.239

180 0.263 0.244

Linear P=0.0149 P=0.0319

Page 9: Development of a Response Index for Corn

Can RI be estimated at early stages of growth?

Can RI be estimated at early stages of growth?

• Green and red NDVI determined differences between treatments at V6

• Green and red NDVI determined differences between treatments at V6

N rate RNDVI GNDVI

0 0.531 0.437

60 0.654 0.530

120 0.664 0.546

180 0.678 0.540

Linear P=0.0001 P=0.0001

Page 10: Development of a Response Index for Corn

DiscussionDiscussion

• Practicality of N rich strip– Production scale agriculture without

sophisticated sensors– Answer N loss questions and helps make N

application decisions

• Practicality of N rich strip– Production scale agriculture without

sophisticated sensors– Answer N loss questions and helps make N

application decisions

Page 11: Development of a Response Index for Corn

DiscussionDiscussion

• The earlier, the better– Determination of RI early in the season would

be better• Lack of high-clearance application equipment• Increase in application window

• The earlier, the better– Determination of RI early in the season would

be better• Lack of high-clearance application equipment• Increase in application window

Page 12: Development of a Response Index for Corn

Conclusions?Conclusions?

• Continue research to identify relationship between RI-NDVI and RI-Harvest for corn.

• “Calibrate” RI at various growth stages with N application rates if yield cannot be predicted accurately (this will be difficult).

• Encourage use of N rich strips in production fields to answer simple N application questions.

• Continue research to identify relationship between RI-NDVI and RI-Harvest for corn.

• “Calibrate” RI at various growth stages with N application rates if yield cannot be predicted accurately (this will be difficult).

• Encourage use of N rich strips in production fields to answer simple N application questions.

Page 13: Development of a Response Index for Corn

Questions?Questions?