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69th SWCS International Annual Conference “Making Waves in Conservation: Our Life on Land and Its Impact on Water” July 27-30, 2014 Lombard, IL
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Cover crop mixture
diversity, biomass
production and
weed suppression
Angela TranUniversity of Nebraska-Lincoln
OutlineThe motivationThe question
The methodologyThe outcome
THE MOTIVATIONWhy study diverse cover crop mixtures?
Photo by Tom Stromme of The Bismarck Tribune.
Increasing interest in the use of diverse cover crop mixtures.
Cover crop research mainly on monocultures.
Photo from Practical Farmers of Iowa.
Cover crop mixture research mainly on bi-cultures.
Photo from The Ohio State University Extension.
Little research on diverse, multi-species cover crop mixtures.
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No.
pos
sible
com
bina
tions
No. species
Possible combinations of nspecies.
Missing fundamental information about cover crop mixtures.
How are mixtures different from monocultures?
Why?
How do I design my cover crop mixture?
THE QUESTIONWhat is it that we want to know?
What is the effect of diversity
on performance?
Diversity
Perfo
rman
ce
Diversity
Perfo
rman
ce
?
Diversity
Perfo
rman
ce
?
Diversity
Perfo
rman
ce
?
Defining performance• Biomass production• Weed suppression
Diversity
Perfo
rman
ce
Defining diversity• No. species
• No. functional groups
Diversity
Perfo
rman
ce
Species
Functional groups
THE METHODOLOGYHow did we approach answering our research question?
No. Species Species Functional Groups
1 No Cover 0 02 Barley (Spring) 1 13 Oats (Spring) 1 14 Wheat (Spring) 1 15 Austrian Winter Pea 1 16 Mammoth Red Clover 1 17 Yellow Blossom Sweetclover 1 18 Radish 1 19 Rapeseed 1 1
10 Turnip 1 1
No. Species Species Functional Groups
1 No Cover 0 02 Barley (Spring) 1 13 Oats (Spring) 1 14 Wheat (Spring) 1 15 Austrian Winter Pea 1 16 Mammoth Red Clover 1 17 Yellow Blossom Sweetclover 1 18 Radish 1 19 Rapeseed 1 1
10 Turnip 1 1
Cover crop treatments (#1-10)No. Species Species Functional
Groups1 No Cover 0 02 Barley 1 13 Oats 1 14 Wheat* 1 15 Austrian Winter Pea 1 16 Mammoth Red Clover 1 17 Yellow Blossom Sweetclover 1 18 Radish 1 19 Rapeseed 1 1
10 Turnip 1 1
No. Species Species Functional Groups
1 No Cover 0 02 Barley 1 13 Oats 1 14 Wheat* 1 15 Austrian Winter Pea 1 16 Mammoth Red Clover 1 17 Yellow Blossom Sweetclover 1 18 Radish 1 19 Rapeseed 1 1
10 Turnip 1 1
No. Species Species Functional Groups
1 No Cover 0 02 Barley 1 13 Oats 1 14 Wheat* 1 15 Austrian Winter Pea 1 16 Mammoth Red Clover 1 17 Yellow Blossom Sweetclover 1 18 Radish 1 19 Rapeseed 1 110 Turnip 1 1
*spring variety
No. Species Species Functional Groups
11 Grass Mix (Barley, Oats, Wheat) 3 112 Legume Mix (Peas, Red Clover, Sweetclover) 3 113 Brassica Mix (Radish, Rapeseed, Turnip) 3 114 Grass Mix + Legume Mix 6 215 Grass Mix + Brassica Mix 6 216 Legume Mix + Brassica Mix 6 217 Grass Mix + Legume Mix + Brassica Mix 9 318 Barley, Peas, Radish 3 319 Oats, Red Clover, Rapeseed 3 320 Wheat, Sweetclover, Turnip 3 3
Cover crop treatments (#11-20)No. Species Species Functional
Groups11 Grass Mix (Barley, Oats, Wheat) 3 112 Legume Mix (Peas, Red Clover, Sweetclover) 3 113 Brassica Mix (Radish, Rapeseed, Turnip) 3 114 Grass Mix + Legume Mix 6 215 Grass Mix + Brassica Mix 6 216 Legume Mix + Brassica Mix 6 217 Grass Mix + Legume Mix + Brassica Mix 9 318 Barley, Peas, Radish 3 319 Oats, Red Clover, Rapeseed 3 320 Wheat, Sweetclover, Turnip 3 3
No. Species Species Functional Groups
11 Grass Mix (Barley, Oats, Wheat) 3 112 Legume Mix (Peas, Red Clover, Sweetclover) 3 113 Brassica Mix (Radish, Rapeseed, Turnip) 3 114 Grass Mix + Legume Mix 6 215 Grass Mix + Brassica Mix 6 216 Legume Mix + Brassica Mix 6 217 Grass Mix + Legume Mix + Brassica Mix 9 318 Barley, Peas, Radish 3 319 Oats, Red Clover, Rapeseed 3 320 Wheat, Sweetclover, Turnip 3 3
No. Species Species Functional Groups
11 Grass Mix (Barley, Oats, Wheat) 3 112 Legume Mix (Peas, Red Clover, Sweetclover) 3 113 Brassica Mix (Radish, Rapeseed, Turnip) 3 114 Grass Mix + Legume Mix 6 215 Grass Mix + Brassica Mix 6 216 Legume Mix + Brassica Mix 6 217 Grass Mix + Legume Mix + Brassica Mix 9 318 Barley, Peas, Radish 3 319 Oats, Red Clover, Rapeseed 3 320 Wheat, Sweetclover, Turnip 3 3
No. Species Species Functional Groups
11 Grass Mix (Barley, Oats, Wheat) 3 112 Legume Mix (Peas, Red Clover, Sweetclover) 3 113 Brassica Mix (Radish, Rapeseed, Turnip) 3 114 Grass Mix + Legume Mix 6 215 Grass Mix + Brassica Mix 6 216 Legume Mix + Brassica Mix 6 217 Grass Mix + Legume Mix + Brassica Mix 9 318 Barley, Peas, Radish 3 319 Oats, Red Clover, Rapeseed 3 320 Wheat, Sweetclover, Turnip 3 3
Cover crops broadcasted…
After small grains harvest (3)
Into maturing soybeans (3)
Into maturing corn (2) or after seed corn
harvest (1)
Across nine fields at six farms.
Sampling and measurements
Species specific cover crop and weed biomass sampled before fall frosts . Plant tissue dried to a constant weight at 65°F.
Cover crop and weed biomass sampled before fall frosts.
THE OUTCOMEWhat have we found so far?
Cover crop establishment highly variable across sites.
Only one site with substantialcover crop growth.
Hooper, NE (harvested wheat field)Cover crops seeded 8/31/13.
Plant biomass sampled 10/31/13.
Biomass productionData has many possible narratives.
An ecological narrative• Pre-existing framework
• ↑ diversity, ↑ productivity
An agronomic narrative• More relevant to agricultural management?
• < diverse systems can be just as productive as > diverse systems
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
Barley Oats WheatPea Red Clover SweetcloverRadish Rapeseed Turnip
Error bars (±SEM).
Cov
er c
rop
biom
ass (
g/m
2 ) Cover crop biom
ass (lb/A)
Treatment No.
An ecological narrative
Tilman, D. 2001. Functional Diversity. p. 109-120 in S. A. Levin (ed.) Encyclopedia of biodiversity. Academic Press: San Diego, CA.
Tilman, D., J. Knops, D. Wedin, P. Reich, M. Ritchie, E. Siemann. 1997. The Influence of Functional Diversity and Composition on Ecosystem Processes. Science 277: 1300-1302.
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Cov
er c
rop
biom
ass (
g/m
2 ) Cover crop biom
ass (lb/A)
No. functional groupsNo. species
Data fit to rectangular hyperbola (Y = I*X/[1+(I/A)*X]). Error bars (±SEM).
An agronomic narrative
Less concerned with averages.
More concerned with instances.
Are there instances where less diverse systems produce more than
more diverse systems?
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Cov
er c
rop
biom
ass (
g/m
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ass (lb/A)
No. functional groupsNo. species
Species diversity confounded with functional diversity.
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Grasses Legumes Brassicas
1 species 3 species
Cov
er c
rop
biom
ass (
g/m
2 ) Cover crop biom
ass (lb/A)
Functional group
Error bars (±SEM); p-value <0.10.
NS
NS
NS
Monocultures and 3-way mixes within the same functional
group performed the same.
On average.
Not in every instance.
Error bars (±SEM); p-value <0.01.
Cov
er c
rop
biom
ass (
g/m
2 ) Cover crop biom
ass (lb/A)
-----------NS-----------
Functional groupGrasses Legumes Brassicas
A
B
B
B
A
BB B
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100
200
300
400
500Barley Oats WheatPea Red Clover SweetcloverRadish Rapeseed Turnip
With regard to species diversity alone, monocultures can
outperform mixtures.
What about with regard to functional diversity?
B
A
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1 3
No. species = 3; p-value <0.01.
Cov
er c
rop
biom
ass (
g/m
2 ) Cover crop biom
ass (lb/A)
No. functional groups
Increasing functional diversity increased biomass production.
On average.
Not in every instance.
1 3
No. functional groups
-------------------NS-------------------
No. species = 3; p-value <0.01.
B
C
A
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500Barley Oats WheatPea Red Clover SweetcloverRadish Rapeseed Turnip
Cov
er c
rop
biom
ass (
g/m
2 ) Cover crop biom
ass (lb/A)
Biomass production
Possible narratives
Ecological—↑ diversity, ↑ productivityThe narrative of averages
Agronomic— < diverse systems can be just as productive as > diverse systems
The narrative of instances
Weed SuppressionData range limitations prevented
evaluation of the relationship between mixture diversity and weed suppression
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Wee
d b
iom
ass
(g/m
2 )
Cover crop biomass (g/m2)
No cover
Legume only covers
All other covers
Looking ForwardBeyond biomassNutrient cycling
Faunal biodiversity
Adding functional groupsWarm season grasses, legumes,
broadleaves
QUESTIONS/COMMENTS
Cover crop mixture diversity, biomass production and weed suppression
EXTRA SLIDES
Cover crop mixture diversity, biomass production and weed suppression
Biomass production
On the mechanisms behind diversity-productivity relationship
Suggested mechanisms include the idea that one species enhances the success of another.
For this project, however, mechanism may be a simple artifact of the relationship between
seeding rate and biomass.
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Biom
ass
pote
ntia
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Seeding rate
Radish as an exampleRecommended broadcast rate*: 8-14 lb/A
Selected rate for this project: 15 lb/AWith ≈ 25,000 seeds/lb, that is seeding ≈ 9 seeds/ft2.
*Clark, A. (ed.) 2007. Managing cover crops profitably. 3rd ed. SARE Program, College Park, MD.
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8 18
Barley Pea Radish
Cov
er c
rop
biom
ass (
g/m
2 ) Cover crop biom
ass (lb/A)
Treatment No.
Could more diverse systems be more economical ways to get more biomass?
Seeding datesLocation Field Type Seeding Date
Keene, NE Wheat stubble 7/19/13
Marquette, NE Barley stubble 8/10/13
Hooper, NE Wheat stubble (disked) 8/31/13
Mead, NE Soybean (R5) 9/10/13
Hooper, NE Soybean (R7) 9/12/13
Marquette, NE Soybean (R6) 9/14/13
Hooper, NE Corn 9/12/13
Waterloo, NE Corn stubble (disked) 9/19/13
Bladen, NE Corn 9/20/13
Seeding ratesSpecies
Full broadcast rate (lb/A)
Suggested * Selected
Barley 80-125 150
Oats 110-140 150
Wheat 60-150 150
Austrian winter pea 90-100 100
Red clover 10-12 15
Yellow blossom sweetclover 10-20 15
Radish 10-20 15
Rapeseed 8-14 15
Turnip 10-12** 15*Clark, A. (ed.) 2007. Managing cover crops profitably. 3rd ed. SARE Program, College Park, MD.
**Björkman, T. 2009. Forage Turnips and Rape. Available at http://www.hort.cornell.edu/bjorkman/lab/covercrops/turnip.php (verified 3 Mar . 2013). Cornell University, Cornell, NY.
Liz Morrison, Corn and Soybean Digest (Jan. 1, 2011).
John Dietz, Hay & Forage Grower (Aug. 1, 2008).
Graze (May 1, 2013).
Cover Crop Cocktail Research Team, Penn State College of Agricultural Sciences (2013).This image cannot currently be displayed.
Andrew McGuire, Washington State University (April 17, 2013).
This image cannot currently be displayed.
This image cannot currently be displayed.
John Michaelson, Tennessee News Service (Jan. 20, 2014).
C
BB
AB
A
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0 1 3 6 9
Cov
er c
rop
biom
ass (
g/m
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ass (lb/A)
No. species
Error bars (±SEM); p-value <0.10.
C
B
AB
A
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0 1 2 3
Error bars (±SEM); p-value <0.01.
Cov
er c
rop
biom
ass (
g/m
2 ) Cover crop biom
ass (lb/A)
No. functional groups
D
C
B
A
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0 1 2 3
Error bars (±SEM); p-value <0.01 All three species included for addition of each functional group.
Cov
er c
rop
biom
ass (
g/m
2 ) Cover crop biom
ass (lb/A)
No. functional groups
0
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2 5 8 18
Barley Pea Radish
Treatment No.
Cov
er c
rop
biom
ass (
g/m
2 ) Cover crop biom
ass (lb/A)
0
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2 5 8 AVG(2,5,8) 18
Barley Pea Radish
Treatment No.
Cov
er c
rop
biom
ass (
g/m
2 ) Cover crop biom
ass (lb/A)
0
8
16
24
0
20
40
60
0 20 40 60 80 100 120Depth (in)
Dept
h (c
m)
Soil Nitrate (ppm)
No Cover9-Way Cocktail
p-value < 0.10 (*), <0.01 (**)
*
*
**
**
0
8
16
24
0
20
40
60
0 20 40 60 80 100 120Depth (in)
Dept
h (c
m)
Soil Nitrate (ppm)
No CoverGrass MixLegume MixBrassica Mix9-Way Cocktail
p-value < 0.10 (*), <0.01 (**)
*
**
**
**
0
8
16
24
0
20
40
60
0 4 8 12 16 20Depth (in)
Dept
h (c
m)
Soil Sulfate (ppm)
No CoverGrass MixLegume MixBrassica Mix9-Way Cocktail
p-value < 0.10 (*), <0.01 (**)
*
**
*
*
0
8
16
24
0
20
40
60
0 4 8 12 16 20Depth (in)
Dept
h (c
m)
Soil Ammonium (ppm)
No CoverGrass MixLegume MixBrassica Mix9-Way Cocktail
NS
p-value < 0.10 (*)
*
NS
*
0
8
16
24
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20
40
60
0 40 80 120 160 200 240Depth (in)
Dept
h (c
m)
Soil Phosphorus (ppm)
No CoverGrass MixLegume MixBrassica Mix9-Way Cocktail
p-value < 0.10 (*), <0.01 (**)
**
NS
NS
NS
0
8
16
24
0
20
40
60
0 200 400 600 800 1000Depth (in)
Dept
h (c
m)
Soil Potassium (ppm)
No CoverGrass MixLegume MixBrassica Mix9-Way Cocktail
p-value < 0.10 (*), <0.01 (**)
*
NS
*
*
This image cannot currently be displayed.
It makes little sense if you know what you are doing.
Diversification is protection against ignorance.
Photo by Ben Baker of Redux.