crop yield effects of controlled drainage, soil drainage class, … · 2019-09-24 · effect of...

1
Site Description and Data The field was located at the Davis Purdue Agricultural Center in eastern Indiana. Corn was grown in 2005-2010 and then a corn and soybean rotation 2011-2017. The field had two controlled (NW,SE) and two free (SW,NE) draining quadrants. SE, 3.7 ha SW, 3.5 ha NW, 3.5 ha NE, 3.6 ha FD FD CD CD Water control structure Crop Yield Effects of Controlled Drainage, Soil Drainage Class, and Elevation Amanda Locker 1 , Jane Frankenberger 1 , Laura Bowling 2 , Eileen Kladivko 2 Controlled drainage has the potential to increase crop yields by raising the outlet elevation during the growing season. However, published yield effects have been mixed. The objective of this study is to evaluate how soil type or elevation may drive the impact of controlled drainage on crop yields over a multi-year period. Introduction This material is based upon work that is supported by the National Institute of Food and Agriculture, U.S. Department of Agriculture, under award number 2015-68007-23193, “Managing Water for Increased Resiliency of Drained Agricultural Landscapes” transformingdrainage.org 1 Agricultural and Biological Engineering, 2 Agronomy, Purdue University Methods Yield Analysis by Elevation Results References: Cooke, R., & Verma, S. (2012). Performance of drainage water management systems in Illinois, United States. Journal of Soil and Water Conservation, 67(6), 453-464. Crabbé, P., Lapen, D. R., Clark, H., Sunohara, M., & Liu, Y. (2012). Economic benefits of controlled tile drainage: Watershed evaluation of beneficial management practices, South Nation river basin, Ontario. Water Quality Research Journal, 47(1), 30-41. Drury, C. F., Tan, C. S., Reynolds, W. D., Welacky, T. W., Oloya, T. O., & Gaynor, J. D. (2009). Managing tile drainage, subirrigation, and nitrogen fertilization to enhance crop yields and reduce nitrate loss. Journal of Environmental Quality, 38(3), 1193-1204. Ghane, E., Fausey, N. R., Shedekar, V. S., Piepho, H. P., Shang, Y., & Brown, L. C. (2012). Crop yield evaluation under controlled drainage in Ohio, United States. Journal of Soil and Water Conservation, 67(6), 465-473. Helmers, M., Christianson, R., Brenneman, G., Lockett, D., & Pederson, C. (2012). Water table, drainage, and yield response to drainage water management in southeast Iowa. Journal of Soil and Water Conservation, 67(6), 495-501. Defining Wet, Normal, Dry Years Yield Analysis by Soil Type Statistical Analysis LiDAR-based elevation from IndianaMap Framework data was used to calculate the average elevation for each cell (The southeast quadrant was divided to accommodate for the two water control structures). Yield Data Yield data were cleaned in SMS Advanced Software and were clipped to the four quadrants, removing end rows. A grid of 10 by 10 meter cells was created for the field. The grid allowed for a numbering system of columns (i) and rows (j) for each cell. For each year the average of all the yield points within each cell was calculated. Monthly precipitation data for May-August from the on-site weather station was compared to the 30-year average(1981-2010) for the on-farm NOAA weather station to determine a wet, dry, or normal year by ±100 millimeters. Majority soil type for each cell Yearly Wetness Classification 2010 Yield (MT ha -1 ) Controlled Free 1 9 34,1 i , j 1 24 15 31 17 34,17 i , j Crop Yield by Treatment Corn Yield by Soil Drainage Class & Wetness Classification Location Crop Yield Impact Reference Iowa corn & soybean no effect Increase 2 Decrease(corn) 3 Schott et al. 2017 1 Jaynes 2012 2 Helmers et al. 2012 3 Illinois corn & soybean no effect Cooke & Verma 2012 Ohio corn & soybean no effect 1 increase 2 Fausey 2005 1 Ghane et al. 2012 2 Canada corn & soybean no effect 1,2 Increase 3,4 Drury et al. 2009 1 Tan et al. 1998 2 Sunohara et al. 2014 3 Crabbe et al. 2012 4 North Carolina corn & soybean increase Poole et al. 2013 Sweden cereals increase Wesstrom and Messing 2007 Blount (somewhat poorly drained) Condit (poorly drained) Pewamo (very poorly drained) Soil type was analyzed by using an order 1 soil map of the field. The majority soil type in each of the yield cells was assigned to the entire cell for analysis. The yield response equation to be estimated was = 0 + β + + ε account for temporal effect over the years, known as compound symmetry The spatial correlation was contained in ε by assuming the following spatial covariance structure 2 exp{ / } A t-test was used to analyze crop yield and treatment by year. Controlled drainage significantly increased corn yield in 7 out of 9 years. Controlled drainage significantly increased soybean yield in 3 out of 4 years. Means within years or for the average with a different letter are significantly different ρ-value is 0.05 a a aa Soybean Yield (Mg ha -1 ) a b a b a b a b a a Corn Yield (Mg ha -1 ) Dry Normal Wet VP P SWP VP P SWP VP P SWP a b a b a b a b aa a a a a a a a a Corn Yield (Mg ha -1 ) Normal Wet Dry <30cm 30-60 >60cm a b a b a a a a a a a a a a a b Corn Yield (Mg ha -1 ) a b a b a b a b a b a b a b a b Controlled drainage significantly increased corn yield in the very poorly and poorly drained soils during dry years, and the somewhat poorly and very poorly drained soils during wet years. Corn Yield by Elevation & Wetness Classification Means within wetness classification with a different letter are significantly different ρ-value is 0.05 a a <30cm 30-60 >60cm <30cm 30-60 >60cm Controlled drainage significantly increased corn yield in the <30 cm and >60 cm elevation ranges during dry years. Indiana Office of Information Technology. IndianaMap Framework Data. 2012. raster digital data. Available from: www.indianamap.org Jaynes, D. B. (2012). Changes in yield and nitrate losses from using drainage water management in central Iowa, United States. Journal of Soil and Water Conservation, 67(6), 485-494. Poole, C. A., Skaggs, R. W., Cheschier, G. M., Youssef, M. A., & Crozier, C. R. (2013). Effects of drainage water management on crop yields in North Carolina. Journal of Soil and Water Conservation, 68(6), 429-437. Schott, L., Lagzdins, A., Daigh, A. L. M., Craft, K., Pederson, C., Brenneman, G., & Helmers, M. J. (2017). Drainage water management effects over five years on water tables, drainage, and yields in southeast Iowa. Journal of Soil and Water Conservation, 72(3), 251-259. Tan, C. S., Drury, C. F., Soultani, M., Van Wesenbeeck, I. J., Ng, H. Y. F., Gaynor, J. D., & Welacky , T. W. (1998). Effect of controlled drainage and tillage on soil structure and tile drainage nitrate loss at the field scale. Water Science and Technology, 38(4-5), 103-110. Wesström, I., & Messing, I. (2007). Effects of controlled drainage on N and P losses and N dynamics in a loamy sand with spring crops. Agricultural Water Management, 87(3), 229-240.

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Page 1: Crop Yield Effects of Controlled Drainage, Soil Drainage Class, … · 2019-09-24 · Effect of controlled drainage and tillage on soil structure and tile drainage nitrate loss at

Site Description and DataThe field was located at the Davis Purdue Agricultural Center in eastern Indiana.

Corn was grown in 2005-2010 and then a corn and soybean rotation 2011-2017.

The field had two controlled (NW,SE) and two free (SW,NE) draining quadrants.

SE, 3.7 haSW, 3.5 ha

NW, 3.5 ha NE, 3.6 ha

FD

FD

CD

CD

Water control structure

Crop Yield Effects of Controlled Drainage, Soil Drainage Class, and ElevationAmanda Locker1, Jane Frankenberger1, Laura Bowling2, Eileen Kladivko2

Controlled drainage has the potential to increase crop yields by raising the outlet elevation during the growing season. However, published yield effects have been mixed.

The objective of this study is to evaluate how soil type or elevation may drive the impact of controlled drainage on crop yields over a multi-year period.

Introduction

This material is based upon work that is supported by the National Institute of Food and Agriculture, U.S. Department of Agriculture, under award number 2015-68007-23193,

“Managing Water for Increased Resiliency of Drained Agricultural Landscapes” transformingdrainage.org

1Agricultural and Biological Engineering, 2 Agronomy, Purdue University

Methods

Yield Analysis by Elevation

Results

References:Cooke, R., & Verma, S. (2012). Performance of drainage water management systems in Illinois, United States. Journal of Soil and Water Conservation, 67(6), 453-464. Crabbé, P., Lapen, D. R., Clark, H., Sunohara, M., & Liu, Y. (2012). Economic benefits of controlled tile drainage: Watershed evaluation of beneficial management practices, South Nation river basin, Ontario. Water Quality Research Journal, 47(1), 30-41.Drury, C. F., Tan, C. S., Reynolds, W. D., Welacky, T. W., Oloya, T. O., & Gaynor, J. D. (2009). Managing tile drainage, subirrigation, and nitrogen fertilization to enhance crop yields and reduce nitrate loss. Journal of Environmental Quality, 38(3), 1193-1204. Ghane, E., Fausey, N. R., Shedekar, V. S., Piepho, H. P., Shang, Y., & Brown, L. C. (2012). Crop yield evaluation under controlled drainage in Ohio, United States. Journal of Soil and Water Conservation, 67(6), 465-473. Helmers, M., Christianson, R., Brenneman, G., Lockett, D., & Pederson, C. (2012). Water table, drainage, and yield response to drainage water management in southeast Iowa. Journal of Soil and Water Conservation, 67(6), 495-501.

Defining Wet, Normal, Dry Years

Yield Analysis by Soil Type

Statistical Analysis

• LiDAR-based elevation from IndianaMapFramework data was used to calculate the average elevation for each cell (The southeast quadrant was divided to accommodate for the two water control structures).

Yield Data• Yield data were cleaned in

SMS Advanced Software and were clipped to the four quadrants, removing end rows.

• A grid of 10 by 10 meter cells was created for the field.

• The grid allowed for a numbering system of columns (i) and rows (j) for each cell.

• For each year the average of all the yield points within each cell was calculated.

Monthly precipitation data for May-August from the on-site weather station was compared to the 30-year average(1981-2010) for the on-farm NOAA weather station to determine a wet, dry, or normal year by ±100 millimeters.

Majority soil type for each cell

Yearly Wetness Classification

2010 Yield (MT ha-1 )ControlledFree

1 934,1

i , j1

24

15

31

17

34,17

i , j

Crop Yield by Treatment

Corn Yield by Soil Drainage Class & Wetness Classification

Location Crop Yield Impact Reference

Iowa corn &

soybean

no effectIncrease2

Decrease(corn) 3

Schott et al. 20171

Jaynes 20122

Helmers et al. 20123

Illinoiscorn &

soybean no effect Cooke & Verma 2012

Ohiocorn &

soybeanno effect1increase2 Fausey 20051

Ghane et al. 20122

Canadacorn &

soybeanno effect1,2

Increase3,4

Drury et al. 20091

Tan et al. 19982

Sunohara et al. 20143

Crabbe et al. 20124

NorthCarolina

corn &soybean increase Poole et al. 2013

Sweden cereals increaseWesstrom and Messing 2007

Blount (somewhat poorly drained)

Condit (poorly drained)Pewamo (very poorly drained)

• Soil type was analyzed by using an order 1 soil map of the field.

• The majority soil type in each of the yield cells was assigned to the entire cell for analysis.

• The yield response equation to be estimated was𝑦𝑦𝑦𝑦𝑦𝑦𝑦𝑦𝑦𝑦𝑖𝑖𝑖𝑖𝑖𝑖= 𝛽𝛽0 + 𝑋𝑋𝑖𝑖𝑖𝑖𝑖𝑖β + 𝑟𝑟𝑖𝑖𝑖𝑖 + ε𝑖𝑖𝑖𝑖𝑖𝑖

• 𝑟𝑟𝑖𝑖𝑖𝑖 account for temporal effect over the years, known as compound symmetry

• The spatial correlation was contained in ε𝑖𝑖𝑖𝑖𝑖𝑖 by assuming the following spatial covariance structure 𝜎𝜎2exp{−𝑦𝑦𝑖𝑖𝑖𝑖/𝜃𝜃}

• A t-test was used to analyze crop yield and treatment by year.

• Controlled drainage significantly increased corn yield in 7 out of 9 years.

• Controlled drainage significantly increased soybean yield in 3 out of 4 years.

Means within years or for the average with a different letter are significantly different ρ-value is 0.05

aaa a

Soyb

ean

Yiel

d (M

g ha

-1)

a b a b a b a b a a

Cor

n Yi

eld

(Mg

ha-1

)

Dry Normal Wet

VP P SWPVP P SWP VP P SWP

a b a b ab

a b

a a

a aa a

a a a a

Cor

n Yi

eld

(Mg

ha-1

)

Normal WetDry

<30cm 30-60 >60cm

a b a b a a aa

a a a a a a

a bC

orn

Yiel

d (M

g ha

-1)

a b a b

a b

a b a b

a b

a ba b

• Controlled drainage significantly increased corn yield in the very poorly and poorly drained soils during dry years, and the somewhat poorly and very poorly drained soils during wet years.

Corn Yield by Elevation & Wetness ClassificationMeans within wetness classification with a different letter are significantly different ρ-value is 0.05

a a

<30cm 30-60 >60cm <30cm 30-60 >60cm • Controlled drainage significantly increased corn yield in the <30 cm and >60 cm elevation ranges during dry years.

Indiana Office of Information Technology. IndianaMap Framework Data. 2012. raster digital data. Available from: www.indianamap.orgJaynes, D. B. (2012). Changes in yield and nitrate losses from using drainage water management in central Iowa, United States. Journal of Soil and Water Conservation, 67(6), 485-494. Poole, C. A., Skaggs, R. W., Cheschier, G. M., Youssef, M. A., & Crozier, C. R. (2013). Effects of drainage water management on crop yields in North Carolina. Journal of Soil and Water Conservation, 68(6), 429-437. Schott, L., Lagzdins, A., Daigh, A. L. M., Craft, K., Pederson, C., Brenneman, G., & Helmers, M. J. (2017). Drainage water management effects over five years on water tables, drainage, and yields in southeast Iowa. Journal of Soil and Water Conservation, 72(3), 251-259.Tan, C. S., Drury, C. F., Soultani, M., Van Wesenbeeck, I. J., Ng, H. Y. F., Gaynor, J. D., & Welacky, T. W. (1998). Effect of controlled drainage and tillage on soil structure and tile drainage nitrate loss at the field scale. Water Science and Technology, 38(4-5), 103-110.Wesström, I., & Messing, I. (2007). Effects of controlled drainage on N and P losses and N dynamics in a loamy sand with spring crops. Agricultural Water Management, 87(3), 229-240.