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Agronomic,	
  Economic,	
  and	
  Environmental	
  Performance	
  
Characteris7cs	
  of	
  Conven7onal	
  and	
  More	
  Diverse	
  	
  
Cropping	
  Systems	
  in	
  the	
  U.S.	
  Corn	
  Belt	
  
Matt Liebman
Iowa State University
Special	
  thanks	
  to:	
  
•  C.	
  Chase	
  
•  A.	
  Davis	
  
•  R.	
  Gómez	
  
•  A.	
  Heggenstaller	
  
•  J.	
  Hill	
  
•  N.	
  Hunt	
  
•  D.	
  James	
  
•  A.	
  Johanns	
  
•  L.	
  Leandro	
  
•  F.	
  Menalled	
  
•  D.	
  Sundberg	
  
•  P.	
  Westerman	
  
•  C.	
  Williams	
  
Iowa	
  produces	
  huge	
  amounts	
  of	
  corn,	
  soybean,	
  
hogs,	
  caLle,	
  eggs,	
  and	
  ethanol.	
  
But	
  there	
  are	
  important	
  challenges	
  
to	
  long-­‐term	
  producOvity,	
  profitability,	
  and	
  
environmental	
  quality.	
  
•  Soil	
  erosion	
  
•  Water	
  quality	
  effects	
  of	
  nutrient	
  emissions	
  
•  VolaOlity	
  in	
  producOon	
  costs	
  and	
  crop	
  prices	
  
•  Herbicide	
  resistant	
  weeds	
  
•  Outbreaks	
  of	
  crop	
  and	
  animal	
  diseases	
  
2011 Wright County, Iowa
0 1.42 2.84 4.26
miles
Land Cover Categories
Dby decreasing acreage-
AGRICULTURE
Corn
Soybeans
Grassland Herbaceous
Alfalfa
Other Hay/Non Alfalfa
Oats
Winter Wheat
Sweet Corn
Sod/Grass Seed
Fallow/Idle Cropland
Dbl Crop WinWht/Soybeans
Rye
Clover/Wildflowers
Switchgrass
NON-AGRICULTURE*
Developed/Open Space
Woody Wetlands
Deciduous Forest
Developed/Low Intensity
Herbaceous Wetlands
Open Water
Produced by CropScape - http://nassgeodata.gmu.edu/CropScape * Only top 6 non-agriculturecategroies are listed.
Iowa	
  agriculture	
  lacks	
  diversity	
  
Corn	
  and	
  soybean:	
  63%	
  of	
  total	
  IA	
  land	
  area,	
  82%	
  of	
  cropland	
  
Wright	
  County,	
  2011	
  
583	
  sq.	
  miles	
  	
  
(1,509	
  sq.	
  km.)	
  
Yellow	
  =	
  corn	
  
Green	
  =	
  soybean	
  
USDA-­‐NASS	
  Cropland	
  Data	
  Layer	
  
Haield	
  et	
  al.,	
  2009,	
  JSWC	
  
Alfalfa	
  and	
  other	
  hay	
  crops	
  
Small	
  grains	
  
Yield	
  reducOon	
  for	
  major	
  crops	
  grown	
  in	
  
shortened	
  rotaOons	
  or	
  monoculture	
  	
  
Crop Yield decline
Barley (Hordeum vulgare) 11-19%
Corn (Zea mays) 7-36%
Oilseed rape (Brassica napus) 3-25%
Potato (Solanum tuberosum) 10-30%
Rice (aerobic) (Oryza sativa) 19-54%
Soybean (Glycine max) 8-20%
Sugarcane (Saccharum spp.) 3-50%
Sweet potato (Ipomoea batatas) 21-57%
Wheat (Triticum aestivum) 9-20%
BenneL	
  	
  et	
  al.	
  (2012)	
  Biological	
  Reviews	
  87:	
  52-­‐71	
  
Can	
  cropping	
  system	
  diversificaOon	
  and	
  crop-­‐livestock	
  
integraOon:	
  
•	
  reduce	
  requirements	
  for	
  purchased	
  inputs?	
  
•	
  maintain	
  or	
  improve	
  producOvity	
  and	
  profitability?	
  	
  
•	
  suppress	
  weeds	
  effecOvely?	
  	
  
•	
  reduce	
  suscepObility	
  to	
  diseases?	
  
•	
  improve	
  environmental	
  performance	
  characterisOcs?	
  	
  
Iowa	
  State	
  University	
  Marsden	
  Farm,	
  Boone	
  Co.,	
  IA	
  
Iowa	
  State	
  University	
  Marsden	
  Farm,	
  Boone	
  Co.,	
  IA	
  
2-­‐year	
  rotaOon:	
  corn-­‐soybean	
  	
  
3-­‐year	
  rotaOon:	
  corn-­‐soybean-­‐oat/red	
  clover	
  	
  
4-­‐year	
  rotaOon:	
  corn-­‐soybean-­‐oat/alfalfa-­‐alfalfa	
  
36	
  plots,	
  60’	
  x	
  275’	
  each	
  
all	
  phases	
  of	
  each	
  rotaOon	
  present	
  every	
  year	
  
2001	
  and	
  2002:	
  base-­‐line	
  sampling	
  
2003-­‐2005:	
  start-­‐up	
  period	
  
2006-­‐present:	
  mature	
  period	
  
Management	
  pracOces	
  
2-­‐year	
  rota7on	
   3-­‐year	
  and	
  4-­‐year	
  rota7ons	
  
Manure	
   None	
   7	
  tons/acre	
  before	
  corn	
  
Mineral	
  N	
  
fer7lizer	
  
100	
  lbs	
  N/acre	
  at	
  
planOng	
  plus	
  
sidedress	
  
None	
  at	
  planOng,	
  but	
  with	
  
sidedress	
  opOon	
  
Herbicides	
   Broadcast	
  in	
  corn	
  
and	
  soybean	
  phases	
  
Banded	
  with	
  interrow	
  
culOvaOon	
  in	
  corn	
  and	
  
soybean	
  phases	
  
Tillage	
   Chisel	
  plow	
  aker	
  
corn	
  
Moldboard	
  plow	
  aker	
  clover	
  
and	
  alfalfa,	
  chisel	
  plow	
  aker	
  
corn	
  
Mean	
  annual	
  mineral	
  N	
  ferOlizer	
  	
  
and	
  herbicide	
  use,	
  2006-­‐2014	
  
N	
  fer7lizer	
   Herbicides	
  
2-­‐year	
   3-­‐year	
   4-­‐year	
   2-­‐year	
   3-­‐year	
   4-­‐year	
  
lb	
  N/acre	
   lb	
  a.i./acre	
  
Corn	
   147	
   23	
   20	
   1.41	
   0.06	
   0.06	
  
Soybean	
   2	
   2	
   2	
   1.49	
   0.12	
   0.12	
  
Oat	
   -­‐-­‐	
   2	
   2	
   -­‐-­‐	
   0	
   0	
  
Alfalfa	
   -­‐-­‐	
   -­‐-­‐	
   2	
   -­‐-­‐	
   -­‐-­‐	
   0	
  
RotaOon	
  av.	
  	
   74	
   9	
   6	
   1.45	
   0.06	
   0.05	
  
ReducOon	
   -­‐88%	
   -­‐92%	
   -­‐96%	
   -­‐97%	
  
Fossil	
  energy	
  use,	
  2006-­‐2011	
  
Johanns et al., 2012	
  
Rota7on	
  
2-­‐year	
   3-­‐year	
   4-­‐year	
  
Fossil	
  energy	
  inputs	
  	
  
(barrels	
  of	
  oil	
  equivalent/acre)	
  
0.61	
  a	
   0.24	
  b	
   0.26	
  b	
  
Fossil	
  energy	
  inputs	
  	
  
(gal.	
  of	
  diesel	
  fuel	
  equivalent/acre)	
  
25.4	
  a	
   10.2	
  b	
   10.8	
  b	
  
Major categories of fossil energy inputs were nitrogen
fertilizer, gas for drying corn, and tractor fuel.
Diversity à lower energy inputs
Crop	
   2-­‐year	
   3-­‐year	
   4-­‐year	
  
Corn	
  (bu/acre)	
   188	
  b	
   194	
  ab	
   197	
  a	
  
Soybean	
  (bu/acre)	
   47	
  c	
   52	
  b	
   55	
  a	
  
Oat	
  (bu/acre)	
   -­‐-­‐-­‐	
   93	
  b	
   97	
  a	
  
Alfalfa	
  (tons/acre)	
   -­‐-­‐-­‐	
   -­‐-­‐-­‐	
   4.1	
  
Mean	
  Yields,	
  2006-­‐2014	
  
Sources:	
  Liebman	
  et	
  al.,	
  2008;	
  Gómez	
  et	
  al.,	
  2012;	
  Davis	
  et	
  al.,	
  2012.	
  
Mean	
  weed	
  biomass	
  in	
  2006-­‐2014	
  was	
  low	
  in	
  
corn	
  and	
  soybean	
  phases	
  of	
  each	
  system.	
  Weed	
  
growth	
  was	
  greater	
  in	
  oat	
  and	
  alfalfa	
  phases.	
  
2-­‐year	
  rota7on	
   3-­‐year	
  rota7on	
   4-­‐year	
  rota7on	
  
Crop	
  phase	
   lb/acre	
  
Corn	
   2	
  a	
   7	
  a	
   5	
  a	
  
Soybean	
   1	
  b	
   7	
  a	
   3	
  ab	
  
Oat/legume	
   -­‐-­‐-­‐	
   65	
  a	
   33	
  a	
  
Alfalfa	
   -­‐-­‐-­‐	
   -­‐-­‐-­‐	
   45	
  
Within	
  rows,	
  means	
  followed	
  by	
  different	
  leLers	
  are	
  significantly	
  different.	
  
Labor	
  and	
  economics,	
  2008-­‐2014	
  
RotaOon	
  
2-­‐year	
   3-­‐year	
   4-­‐year	
  
Labor	
  inputs	
  (hr/acre)	
   0.7	
  c	
   1.1	
  	
  b	
   1.4	
  a	
  
Gross	
  returns	
  ($/acre)	
   725	
  a	
   638	
  b	
   675	
  ab	
  
Costs	
  of	
  producOon,	
  
including	
  labor	
  ($/acre)	
  
341	
  a	
   229	
  c	
   262	
  b	
  
Profits	
  (returns	
  to	
  land	
  
and	
  management,	
  $/acre)	
  
384	
  a	
   409	
  a	
   413	
  a	
  
Diversity	
  à	
  greater	
  labor	
  requirements,	
  lower	
  gross	
  
returns,	
  lower	
  costs,	
  similar	
  profits	
  
EsOmated	
  Sheet	
  and	
  Rill	
  Erosion	
  (RUSLE2)	
  
Tons	
  per	
  acre	
  per	
  year	
  
2-­‐year	
  rotaOon:	
  1.36	
  
3-­‐year	
  rotaOon:	
  1.08	
  (-­‐21%)	
  
4-­‐year	
  rotaOon:	
  0.88	
  (-­‐35%)	
  
Soil	
  Quality	
  Indicators	
  in	
  Corn	
  
(0-­‐20	
  cm)	
  
Rota7on	
  
Par7culate	
  organic	
  
maYer	
  carbon	
  
Microbial	
  
biomass	
  
carbon	
  
Poten7ally	
  
mineralizable	
  
nitrogen	
  
mg	
  POM-­‐C	
  cm-­‐3	
  soil	
   μg	
  C	
  g-­‐1	
  soil	
   mg	
  PMN	
  cm-­‐3	
  soil	
  
2-­‐year	
   1.86	
  b	
   312.6	
  c	
   30.8	
  b	
  
3-­‐year	
   2.44	
  a	
  	
   388.7	
  b	
   42.1	
  a	
  
4-­‐year	
   2.38	
  a	
   472.2	
  a	
   38.3	
  a	
  
Sources:	
  Lazicki	
  et	
  al.,	
  in	
  review;	
  King,	
  2014.	
  
Soil	
  managed	
  with	
  longer	
  rota@ons	
  has	
  more	
  POM-­‐C,	
  	
  
microbial	
  biomass,	
  and	
  PMN.	
  
Herbicide-­‐related	
  aquaOc	
  ecotoxicity	
  was	
  two	
  orders	
  of	
  	
  
magnitude	
  lower	
  in	
  the	
  more	
  diverse	
  rotaOons.	
  
10
10
2
10
3
10
4
10
5
2006 2007 2008 2009 2010 2011
2-year 3-year 4-year
Toxicitypotential(ComparativeToxicUnits)
Year
Davis	
  et	
  al.,	
  2012	
  
Serendipitous	
  results	
  from	
  	
  
a	
  long-­‐term	
  systems	
  study	
  
•  Caused	
  by	
  a	
  soilborne	
  fungus	
  -­‐	
  Fusarium	
  
virguliforme	
  
•  Root	
  infecOon	
  causes	
  root	
  rot	
  and	
  poor	
  
root	
  vigor	
  	
  
•  Leaf	
  symptoms	
  caused	
  by	
  fungal	
  toxins	
  
moved	
  from	
  roots	
  to	
  leaves	
  
•  Disease	
  favored	
  by	
  cool,	
  wet	
  weather	
  
•  Yield	
  losses	
  can	
  be	
  severe	
  
Sudden	
  Death	
  Syndrome	
  	
  
RotaOon	
  effects	
  on	
  soybean	
  in	
  2010	
  during	
  SDS	
  epidemic:	
  	
  
Longer	
  rotaOons	
  were	
  healthier	
  
3-­‐year	
  rota7on	
   2-­‐year	
  rota7on	
  
Measurements	
  by	
  L.	
  Leandro,	
  ISU	
  Plant	
  Pathology	
  &	
  Microbiology	
  
Photo	
  courtesy	
  of	
  L.	
  Miller	
  
Mean	
  SDS	
  incidence	
  and	
  severity,	
  2010-­‐2014,	
  	
  
as	
  affected	
  by	
  rotaOon	
  system	
  
Rota@on	
  effects	
  were	
  highly	
  significant	
  (p<0.001)	
  
Source:	
  L.	
  Leandro,	
  ISU	
  
0
10
20
30
40
50
2-year 3-year 4-year
Incidence
Severity
SDSincidneceorseverity,%
Rotation system
Insights	
  from	
  combining	
  empirical	
  
measurements	
  and	
  modeling	
  analyses	
  
in	
  a	
  systems	
  science	
  approach	
  
InvesOgaOng	
  weed	
  dynamics	
  with	
  
a	
  pulse-­‐chase	
  approach	
  
7m
7m
18m
84m
Background	
  seed	
  bank	
  densiOes	
  	
  
determined	
  in	
  2002	
  
	
  
Weed	
  seeds	
  applied	
  in	
  Nov.	
  2002:	
  
2000	
  giant	
  foxtail	
  m-­‐2	
  +	
  	
  
500	
  velvetleaf	
  m-­‐2	
  	
  
	
  
ResulOng	
  seed	
  and	
  plant	
  densiOes	
  	
  
measured	
  for	
  four	
  years	
  
Velvetleaf Giant foxtail
-2500
-2000
-1500
-1000
-500
0
500
Changeinseeddensity(no.m-2)
2-yr 3-yr 4-yr
Rotation length
Giant foxtail
-500
-400
-300
-200
-100
0
100
Changeinseeddensity(no.m-2)
2-yr 3-yr 4-yr
Rotation length
Velvetleaf
Changes in Viable Seed Density
2002-2006
* * * * *
a
c
b a
b
ab
Liebman et al., 2008
Gryllus pennsylvanicus
Dominant weed seed predators
in central IA crop fields
Peromyscus maniculatus
High	
  rates	
  of	
  weed	
  seed	
  removal	
  
observed	
  under	
  field	
  condiOons	
  	
  
March-­‐November,	
  mean	
  loss	
  in	
  two	
  days:	
  	
  
Velvetleaf	
  (Abu@lon	
  theophras@):	
  36%	
  	
  
Giant	
  foxtail	
  (Setaria	
  faberi):	
  56%	
  	
  
(Heggenstaller	
  et	
  al.	
  2006)	
  
	
  
November-­‐April,	
  mean	
  cumulaOve	
  loss:	
  
Velvetleaf	
  (Abu@lon	
  theophras@):	
  77%	
  	
  
Giant	
  foxtail	
  (Setaria	
  faberi):	
  74%	
  	
  
(Williams	
  et	
  al.	
  2009)	
  
Spring
Seedbank
New Seeds
Reproductive
Adults
Seedlings
Seedling
Recruitment
Fe
Seed
Mortality
Seedling
recruitment
Seedling
survival
Seed
production
New seed
survival
Seedbank survival
Modeling	
  analyses	
  to	
  invesOgate	
  the	
  effects	
  of	
  	
  
weed	
  seed	
  predators	
  on	
  weed	
  populaOon	
  dynamics	
  
0
2000
4000
6000
8000Seeddensity(no.m-2to20cmdepth)
0 5 10 15 20 25
Year
Simulated Giant Foxtail Seed Density
No Predation
4-yr rotation
2-yr rotation
0
2000
4000
6000
8000
Seeddensity(no.m-2to20cmdepth)
0 5 10 15 20 25
Year
Simulated Seed Densities
Giant Foxtail in 4-year Rotation
20% predation
15% predation
10% predation
5% predation
0% predation
Cropping	
  system	
  diversificaOon	
  and	
  crop-­‐livestock	
  integraOon	
  can	
  comprise	
  a	
  viable	
  
strategy	
  for	
  reducing	
  reliance	
  on	
  purchased	
  inputs,	
  suppressing	
  weeds	
  and	
  certain	
  
diseases,	
  improving	
  soil	
  quality,	
  and	
  maintaining	
  yields	
  and	
  profits.	
  	
  
Davis	
  et	
  al.	
  2012.	
  PLoS	
  ONE	
  doi:
10.1371/journal.pone.0047149	
  
	
  
Ecological	
  processes,	
  such	
  as	
  seed	
  predaOon,	
  play	
  an	
  important	
  role	
  
in	
  low-­‐external-­‐input	
  systems.	
  	
  
Davis	
  et	
  al.	
  2012.	
  PLoS	
  ONE	
  doi:
10.1371/journal.pone.0047149	
  
	
  

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Long-Term Agricultural Research: A Means to Achieve Resilient Agricultural Production for the 21st Century and Beyond - Liebman

  • 1. . Agronomic,  Economic,  and  Environmental  Performance   Characteris7cs  of  Conven7onal  and  More  Diverse     Cropping  Systems  in  the  U.S.  Corn  Belt   Matt Liebman Iowa State University
  • 2. Special  thanks  to:   •  C.  Chase   •  A.  Davis   •  R.  Gómez   •  A.  Heggenstaller   •  J.  Hill   •  N.  Hunt   •  D.  James   •  A.  Johanns   •  L.  Leandro   •  F.  Menalled   •  D.  Sundberg   •  P.  Westerman   •  C.  Williams  
  • 3. Iowa  produces  huge  amounts  of  corn,  soybean,   hogs,  caLle,  eggs,  and  ethanol.  
  • 4. But  there  are  important  challenges   to  long-­‐term  producOvity,  profitability,  and   environmental  quality.   •  Soil  erosion   •  Water  quality  effects  of  nutrient  emissions   •  VolaOlity  in  producOon  costs  and  crop  prices   •  Herbicide  resistant  weeds   •  Outbreaks  of  crop  and  animal  diseases  
  • 5. 2011 Wright County, Iowa 0 1.42 2.84 4.26 miles Land Cover Categories Dby decreasing acreage- AGRICULTURE Corn Soybeans Grassland Herbaceous Alfalfa Other Hay/Non Alfalfa Oats Winter Wheat Sweet Corn Sod/Grass Seed Fallow/Idle Cropland Dbl Crop WinWht/Soybeans Rye Clover/Wildflowers Switchgrass NON-AGRICULTURE* Developed/Open Space Woody Wetlands Deciduous Forest Developed/Low Intensity Herbaceous Wetlands Open Water Produced by CropScape - http://nassgeodata.gmu.edu/CropScape * Only top 6 non-agriculturecategroies are listed. Iowa  agriculture  lacks  diversity   Corn  and  soybean:  63%  of  total  IA  land  area,  82%  of  cropland   Wright  County,  2011   583  sq.  miles     (1,509  sq.  km.)   Yellow  =  corn   Green  =  soybean   USDA-­‐NASS  Cropland  Data  Layer  
  • 6. Haield  et  al.,  2009,  JSWC   Alfalfa  and  other  hay  crops   Small  grains  
  • 7. Yield  reducOon  for  major  crops  grown  in   shortened  rotaOons  or  monoculture     Crop Yield decline Barley (Hordeum vulgare) 11-19% Corn (Zea mays) 7-36% Oilseed rape (Brassica napus) 3-25% Potato (Solanum tuberosum) 10-30% Rice (aerobic) (Oryza sativa) 19-54% Soybean (Glycine max) 8-20% Sugarcane (Saccharum spp.) 3-50% Sweet potato (Ipomoea batatas) 21-57% Wheat (Triticum aestivum) 9-20% BenneL    et  al.  (2012)  Biological  Reviews  87:  52-­‐71  
  • 8. Can  cropping  system  diversificaOon  and  crop-­‐livestock   integraOon:   •  reduce  requirements  for  purchased  inputs?   •  maintain  or  improve  producOvity  and  profitability?     •  suppress  weeds  effecOvely?     •  reduce  suscepObility  to  diseases?   •  improve  environmental  performance  characterisOcs?    
  • 9. Iowa  State  University  Marsden  Farm,  Boone  Co.,  IA  
  • 10. Iowa  State  University  Marsden  Farm,  Boone  Co.,  IA   2-­‐year  rotaOon:  corn-­‐soybean     3-­‐year  rotaOon:  corn-­‐soybean-­‐oat/red  clover     4-­‐year  rotaOon:  corn-­‐soybean-­‐oat/alfalfa-­‐alfalfa   36  plots,  60’  x  275’  each   all  phases  of  each  rotaOon  present  every  year   2001  and  2002:  base-­‐line  sampling   2003-­‐2005:  start-­‐up  period   2006-­‐present:  mature  period  
  • 11. Management  pracOces   2-­‐year  rota7on   3-­‐year  and  4-­‐year  rota7ons   Manure   None   7  tons/acre  before  corn   Mineral  N   fer7lizer   100  lbs  N/acre  at   planOng  plus   sidedress   None  at  planOng,  but  with   sidedress  opOon   Herbicides   Broadcast  in  corn   and  soybean  phases   Banded  with  interrow   culOvaOon  in  corn  and   soybean  phases   Tillage   Chisel  plow  aker   corn   Moldboard  plow  aker  clover   and  alfalfa,  chisel  plow  aker   corn  
  • 12. Mean  annual  mineral  N  ferOlizer     and  herbicide  use,  2006-­‐2014   N  fer7lizer   Herbicides   2-­‐year   3-­‐year   4-­‐year   2-­‐year   3-­‐year   4-­‐year   lb  N/acre   lb  a.i./acre   Corn   147   23   20   1.41   0.06   0.06   Soybean   2   2   2   1.49   0.12   0.12   Oat   -­‐-­‐   2   2   -­‐-­‐   0   0   Alfalfa   -­‐-­‐   -­‐-­‐   2   -­‐-­‐   -­‐-­‐   0   RotaOon  av.     74   9   6   1.45   0.06   0.05   ReducOon   -­‐88%   -­‐92%   -­‐96%   -­‐97%  
  • 13. Fossil  energy  use,  2006-­‐2011   Johanns et al., 2012   Rota7on   2-­‐year   3-­‐year   4-­‐year   Fossil  energy  inputs     (barrels  of  oil  equivalent/acre)   0.61  a   0.24  b   0.26  b   Fossil  energy  inputs     (gal.  of  diesel  fuel  equivalent/acre)   25.4  a   10.2  b   10.8  b   Major categories of fossil energy inputs were nitrogen fertilizer, gas for drying corn, and tractor fuel. Diversity à lower energy inputs
  • 14. Crop   2-­‐year   3-­‐year   4-­‐year   Corn  (bu/acre)   188  b   194  ab   197  a   Soybean  (bu/acre)   47  c   52  b   55  a   Oat  (bu/acre)   -­‐-­‐-­‐   93  b   97  a   Alfalfa  (tons/acre)   -­‐-­‐-­‐   -­‐-­‐-­‐   4.1   Mean  Yields,  2006-­‐2014   Sources:  Liebman  et  al.,  2008;  Gómez  et  al.,  2012;  Davis  et  al.,  2012.  
  • 15. Mean  weed  biomass  in  2006-­‐2014  was  low  in   corn  and  soybean  phases  of  each  system.  Weed   growth  was  greater  in  oat  and  alfalfa  phases.   2-­‐year  rota7on   3-­‐year  rota7on   4-­‐year  rota7on   Crop  phase   lb/acre   Corn   2  a   7  a   5  a   Soybean   1  b   7  a   3  ab   Oat/legume   -­‐-­‐-­‐   65  a   33  a   Alfalfa   -­‐-­‐-­‐   -­‐-­‐-­‐   45   Within  rows,  means  followed  by  different  leLers  are  significantly  different.  
  • 16. Labor  and  economics,  2008-­‐2014   RotaOon   2-­‐year   3-­‐year   4-­‐year   Labor  inputs  (hr/acre)   0.7  c   1.1    b   1.4  a   Gross  returns  ($/acre)   725  a   638  b   675  ab   Costs  of  producOon,   including  labor  ($/acre)   341  a   229  c   262  b   Profits  (returns  to  land   and  management,  $/acre)   384  a   409  a   413  a   Diversity  à  greater  labor  requirements,  lower  gross   returns,  lower  costs,  similar  profits  
  • 17. EsOmated  Sheet  and  Rill  Erosion  (RUSLE2)   Tons  per  acre  per  year   2-­‐year  rotaOon:  1.36   3-­‐year  rotaOon:  1.08  (-­‐21%)   4-­‐year  rotaOon:  0.88  (-­‐35%)  
  • 18. Soil  Quality  Indicators  in  Corn   (0-­‐20  cm)   Rota7on   Par7culate  organic   maYer  carbon   Microbial   biomass   carbon   Poten7ally   mineralizable   nitrogen   mg  POM-­‐C  cm-­‐3  soil   μg  C  g-­‐1  soil   mg  PMN  cm-­‐3  soil   2-­‐year   1.86  b   312.6  c   30.8  b   3-­‐year   2.44  a     388.7  b   42.1  a   4-­‐year   2.38  a   472.2  a   38.3  a   Sources:  Lazicki  et  al.,  in  review;  King,  2014.   Soil  managed  with  longer  rota@ons  has  more  POM-­‐C,     microbial  biomass,  and  PMN.  
  • 19. Herbicide-­‐related  aquaOc  ecotoxicity  was  two  orders  of     magnitude  lower  in  the  more  diverse  rotaOons.   10 10 2 10 3 10 4 10 5 2006 2007 2008 2009 2010 2011 2-year 3-year 4-year Toxicitypotential(ComparativeToxicUnits) Year Davis  et  al.,  2012  
  • 20. Serendipitous  results  from     a  long-­‐term  systems  study  
  • 21. •  Caused  by  a  soilborne  fungus  -­‐  Fusarium   virguliforme   •  Root  infecOon  causes  root  rot  and  poor   root  vigor     •  Leaf  symptoms  caused  by  fungal  toxins   moved  from  roots  to  leaves   •  Disease  favored  by  cool,  wet  weather   •  Yield  losses  can  be  severe   Sudden  Death  Syndrome    
  • 22. RotaOon  effects  on  soybean  in  2010  during  SDS  epidemic:     Longer  rotaOons  were  healthier   3-­‐year  rota7on   2-­‐year  rota7on   Measurements  by  L.  Leandro,  ISU  Plant  Pathology  &  Microbiology   Photo  courtesy  of  L.  Miller  
  • 23. Mean  SDS  incidence  and  severity,  2010-­‐2014,     as  affected  by  rotaOon  system   Rota@on  effects  were  highly  significant  (p<0.001)   Source:  L.  Leandro,  ISU   0 10 20 30 40 50 2-year 3-year 4-year Incidence Severity SDSincidneceorseverity,% Rotation system
  • 24. Insights  from  combining  empirical   measurements  and  modeling  analyses   in  a  systems  science  approach  
  • 25. InvesOgaOng  weed  dynamics  with   a  pulse-­‐chase  approach   7m 7m 18m 84m Background  seed  bank  densiOes     determined  in  2002     Weed  seeds  applied  in  Nov.  2002:   2000  giant  foxtail  m-­‐2  +     500  velvetleaf  m-­‐2       ResulOng  seed  and  plant  densiOes     measured  for  four  years   Velvetleaf Giant foxtail
  • 26. -2500 -2000 -1500 -1000 -500 0 500 Changeinseeddensity(no.m-2) 2-yr 3-yr 4-yr Rotation length Giant foxtail -500 -400 -300 -200 -100 0 100 Changeinseeddensity(no.m-2) 2-yr 3-yr 4-yr Rotation length Velvetleaf Changes in Viable Seed Density 2002-2006 * * * * * a c b a b ab Liebman et al., 2008
  • 27. Gryllus pennsylvanicus Dominant weed seed predators in central IA crop fields Peromyscus maniculatus
  • 28. High  rates  of  weed  seed  removal   observed  under  field  condiOons     March-­‐November,  mean  loss  in  two  days:     Velvetleaf  (Abu@lon  theophras@):  36%     Giant  foxtail  (Setaria  faberi):  56%     (Heggenstaller  et  al.  2006)     November-­‐April,  mean  cumulaOve  loss:   Velvetleaf  (Abu@lon  theophras@):  77%     Giant  foxtail  (Setaria  faberi):  74%     (Williams  et  al.  2009)  
  • 29. Spring Seedbank New Seeds Reproductive Adults Seedlings Seedling Recruitment Fe Seed Mortality Seedling recruitment Seedling survival Seed production New seed survival Seedbank survival Modeling  analyses  to  invesOgate  the  effects  of     weed  seed  predators  on  weed  populaOon  dynamics  
  • 30. 0 2000 4000 6000 8000Seeddensity(no.m-2to20cmdepth) 0 5 10 15 20 25 Year Simulated Giant Foxtail Seed Density No Predation 4-yr rotation 2-yr rotation
  • 31. 0 2000 4000 6000 8000 Seeddensity(no.m-2to20cmdepth) 0 5 10 15 20 25 Year Simulated Seed Densities Giant Foxtail in 4-year Rotation 20% predation 15% predation 10% predation 5% predation 0% predation
  • 32. Cropping  system  diversificaOon  and  crop-­‐livestock  integraOon  can  comprise  a  viable   strategy  for  reducing  reliance  on  purchased  inputs,  suppressing  weeds  and  certain   diseases,  improving  soil  quality,  and  maintaining  yields  and  profits.     Davis  et  al.  2012.  PLoS  ONE  doi: 10.1371/journal.pone.0047149    
  • 33. Ecological  processes,  such  as  seed  predaOon,  play  an  important  role   in  low-­‐external-­‐input  systems.     Davis  et  al.  2012.  PLoS  ONE  doi: 10.1371/journal.pone.0047149