The Dakota Lakes Research Farm is operated by South Dakota State University, but the land and other fixed facilities are owned by a nonprofit corporation established by area farmers. This group works with the manager in prioritizing research projects and planning capital improvements. The manager's salary and the base wages of the 3 full time employees is paid by the University which also contributes sufficient 0 and M moneys to turn on the lights and heat the building. The remaining funds to operate the program come from grants (primarily from check off funds) and profits on the production enterprises at the station. The goal is to make as much money as possible on the production enterprises and spend all of this money on research projects, facility improvements, and equipment purchases and upgrades. Land rent is paid to the Corporation but most of this money not used to pay property taxes and insurance costs returns in facility improvements.
The Dakota Lakes operation consists of 3 quarters (480 acres) of land at the main station and about 400 acres of land at two sites located west of the Missouri River. All of this land is farmed without tillage. Distance between sites exceeds 70 miles. The station hosts numerous small plot studies by scientists from the main University campus but all of our work (both on and off-station) is done "production scale". This means that field size equipment is utilized with all harvest results being weighed in a 300 bu. weigh cart.
We make no pretense at having all the answers for producers interested in no-till. We do believe that our approach of designing no-till systems based on fundamental agronomic principles rather than as a modification of existing systems will be valuable. Our confidence
in this philosophy is strengthened by the successes experienced in our production enterprise and by producers throughout the world with widely varied environments and operations.
The comprehensive nature of the systems approach to no-till requires substantial cooperation across disciplines and agencies in transferring technology to the end user. A project to address this need was initiated in May of 1997. This project is a cooperative effort between the NRCS, private industry, Ducks Unlimited, The South Dakota Department of Environment and Natural Resources. The South Dakota No-Till Association, and the South Dakota State University Cooperative Extension Service, and the South Dakota Ag. Experiment Station.
The scope of this project covers technology transfer approaches ranging from creating local expertise teams to developing information resources on the World Wide Web. Jason Miller from the NRCS has been stationed at the Dakota Lakes Research Farm to serve as the
coordinator for the two-year trial period of this approach.
Different farming systems use varying levels of Tillage, Technology, and Cultural Practices.
II. The impact of no-till on weeds, diseases, and insects.
A. Weeds
1. Some weed types are favored by tillage, and inhibited by lack of disturbance. This is especially true for broad leaf weeds with large seeds and only slightly less applicable for grassy weeds with large seeds.
B. Insects
1. Most insects which are harmful to crops are not affected either directly or indirectly by tillage method.
2. A few harmful insects are indirectly affected by tillage in terms of how it impacts the habitat they need for winter survival, etc.
3. Almost all insect problems blamed on use of high residue systems can be traced to failures in sanitation or rotation practices.
C. Diseases
1. Plant diseases require three factors to be present in order for plant health to be affected. Those factors are a susceptible host, a pathogenic organism, and a suitable environment for infection to occur. Tillage method is only important in how it affects these factors.
2. Some diseases are tillage neutral in that tillage plays no role in the cycle of the disease. An example would be leaf and stem rusts of wheat.
3. Some diseases are reduced due to the environment created by use of high residue techniques. Diseases caused by dry soils or by soil splash to leaves are examples.
4. Several diseases can be favored by systems which leave residues on the soil surface.
a. Many of these diseases can be dealt with by using adequate rotational intervals and proper sanitation techniques.
b. In some cases it may be cost effective to use fungicides if effective, labeled, products are available to obtain shorter rotation intervals.
III Sanitation
1. Mowing field borders
2. Spot spraying patches.
D. Probiotic Vs Antibiotic or Antiseptic; Utilize biological methods rather than physical methods to lower population of harmful organisms.
c) Earthworms and other soil fauna are predators.
d) Biological activity is much more rapid under full canopy conditions
IV. Competition.
3. Proper intensity reduces risk.
4. Proper intensity will depend on:
3) Opportunity to utilize more efficient sprinklers with lower operating pressure.
Profitability: Risk versus Return
VI. Each producer must determine system which works best for him.
VI. Mistakes will occur
Crops other than small grains can be successfully and profitably produced all areas of the Great Plains. Adding diversity to present rotations by growing alternative crops can have positive ecological benefit while at the same time improving the potential profitability of most operations. High residue systems benefit most from inclusion of alternative crops and in many cases use of these systems is necessary to assure adequate moisture is available to grow them. Combining high residue systems with alternative crops increases management requirements but also provides the greatest potential for increasing returns by spreading workload, optimizing efficient utilization of water; and reducing weed, disease, and insect concerns.
It is not the intent of this paper to be a comprehensive guide to rotational planning. There are, however, a couple of tools that have been helpful in our work at Dakota Lakes that make the process of evaluating rotational more straightforward in the initial phases. The first is an intensity rating. Rotational Intensity can be evaluated by assigning a value of 1 to cool-season and short-season crops and to crops used for green fallow. Examples would be all small grains, canola, pulses, millet, etc. A value of 2 is assigned to full-season crops grown during the warm part of the summer. Examples would be corn, forage sorghum, 'safflower, sunflower, edible beans, etc. Fallow receives a value of 0. Average the intensity value for each crop in the rotation. For instance a wheat-fallow rotation produces a value of 1 plus 0 divided by 2 equals 0.5. Continuous wheat, wheat-canola, etc. give values of 1.O. Wheat-Corn-Pea produces intensity of 1.33. Intensity values of no-till systems should be 0.5 to 1.5 points higher than those used with tillage depending on the tillage that was used and soil moisture holding capacity parameters.
The other tool being developed to a rotational planning is a Diversity Index. This index attempts to quantify diversity in rotations in as simple manner as possible. Like the intensity rating it designed to be used in preliminary planning only. More careful scrutiny of
promising rotations is suggested. There are two steps used in determining the Diversity Index. The first involves determining the average interval between crop types in the rotation. Crops used in the rotation are classified into one of four types (cool-season grass, cool-season broadleaf, warm-season grass, and warm-season broadleaf. Determine the number of years between each cool-season grass and the one that preceded it in the rotation. If it was the same crop (i.e. wheat both times) use the number of years as its interval. If the preceding crop was of a different crop (i.e. oats or barley) add 0.5 to the number of years. Do the same thing for the warm-season grass crops (corn, millet, forage sorghum, sorghum, etc.). Perform the same operation for the broadleaf crops disregarding the difference between warm and cool-season types. In other words use the interval between the crop of interest and the last broadleaf crop of either type. This is done since many of the broadleaf crops share diseases in common. Just as with the grass crops, remember to add the 0.5 if the preceding broadleaf was not the same crop. Average these numbers across the rotation. Fallow is treated as another crop type. Some examples are: Wheat-Fallow (1 + 1 = 2 divided by 2 years in the rotation produces and interval average of 1.0); Wheat-Corn-Pea (2+2+2=6 divided by 3 equals 2); Wheat-Barley-Canola (1.5 + 0.5 +2 = 4 divided by 3 equals 1.33); Wheat-Wheat-Canola ( 1+0+2=3 divided by 3 equals 1.0); Wheat-Canola-Millet (2+2+2=6 divided by 3 equals 2.0).
Once the interval average has been determined, the Diversity Index for a rotation is obtained by adjusting the interval average to account for some work-load spreading, weed ,and disease concerns. If both a grass a d a broadleaf crop are used in the rotation add
0.5. If both a fall and spring seeded crop are used n the rotation add 0.5. If both cool and warm-season crops are used add 0.5.
Adjust for broadleaf intervals by averaging the following scores for each broadleaf interval in the rotation: if the broadleaf to broadleaf interval is 2 years assign a 0; use 0.5 is for each broadleaf-broadleaf interval of 3 years or more; use a -0.5 for an interval of 1 year; for back to back broadleaf sequences use -1.0. Examples include rotations like wheat-canola or corn-soybean with interval averages of 1 receiving a deduction of 0.5. Wheat-corn-pea and similar rotations receive no deduction or bonus. Wheat-wheat-corn-sunflower receives a bonus of 0.5. More complex rotations like wheat-sunflower-wheat-corn-pea require that the scores from the sunflower-pea (interval = 2 years, score =0) and the pea-sunflower (interval = 1 year, score 0.5) segments be averaged to produce the -0.25 deduction for this rotation.
I
Adjust for workload spreading benefits by determining the largest proportion of the seeded acreage which shares ideal seeding time and deducting this number. Determining ideal seeding times requires local knowledge since some crops (spring wheat and canola for instance) will share seeding times in some environments and not in others. Examples would include deducting 1.0 when evaluating rotations such as spring wheat-barley, spring wheat-pea, continuous corn, and spring wheat-barley-canola since all crops need to be seeded in the same time frame in many environments. Wheat-fallow would also receive a deduction of 1.0 since all of the acres to be seeded must be drilled at one time. Rotations such as spring wheat-millet-canola in the same environment would face a deduction of
0.67. Corn-soybean, wheat-corn-fallow, wheat-soybean, wheat millet, etc. would receive a deduction of 0.5. Deductions of 0.4 would be made for a rotation like corn-soybean-corn-soybean-wheat. Wheat-millet-flax receives a deduction of 0.33 as would similar rotations. In a rotation like spring wheat-winter wheat-corn-soybean the deduction falls to 0.25.
A further deduction is made for harvest interference or where harvest of one segment interferes with seeding of another. Use of deductions for harvest and seeding-harvest conflicts (just as for seeding time conflicts) need to be made based on local knowledge. The deduction used is one-half the proportion of the acreage seeded for harvest in which conflict occurs. In most cases this value will be one-half of the value obtained for seeding conflicts. For instance, in a wheat-soybean rotation where the seeding interference deduction would be -0.5 the deduction for harvest conflict would be -0.25. In some instances, seeding will conflict but harvest will not (early maturing barley and late maturing peas share seeding times but not harvest times). If this was the case a barley-pea rotation would have a seeding deduction of 1.0 and a harvest deduction of 0.25 (one-half of 0.5). In some instances conflicts will occur between seeding one crop and harvesting another. An example would be winter wheat and millet. Millet harvest conflicts with winter wheat
seeding in some environments. Consequently, in a winter wheat-millet rotation the total deduction for harvest and seeding harvest interference is 0.5. This is derived by adding the harvest interference of 0.25 (one-half of 0.5) and the potential seeding-harvest interference of 0.25. In a winter wheat-corn-millet-fallow rotation the total deduction would be 0.33 since both the seeding and harvest-seeding interference affect only 1/3 of the seeded acreage. Rotations with high Diversity Index Values (greater than 2.5) will provide the most workload spreading and present the least disease and weed risk They will produce the most return only if they also have proper intensity, and adapted crop types are used. In some environments it may be difficult to obtain ideal levels of both diversity and intensity due to a lack of adapted crop types. In the early stages of no-till producers often have success with rotations which have proper intensity but lack of diversity. Part of this is due to the fact that the land being used has not had a history of many of the crops being used (especially the broadleaf crops) so disease and weed problems have not yet developed. Another factor is that the producer's machinery is sized for a tilled system
|
Rotation |
Diver. Index |
Inter Ave |
Warm-Cool |
Wntr-Spr |
Grs-Blf |
Blf bns |
Seed Intr |
Harv Intr |
Seed/Harv. Inter. |
|
|
WW-Corn-Fw |
2.25 |
2 |
0.5 |
0.5 |
0 |
0 |
-0.5 |
-0.25 |
0 |
|
|
WW-Corn-Flax |
3.01 |
2 |
0.5 |
0.5 |
0.5 |
0 |
-0.33 |
-0.17 |
0 |
|
|
WW-Fallow |
-0.5 |
1 |
0 |
0 |
0 |
0 |
-1 |
-0.5 |
0 |
|
|
Corn-Soybean |
0.00 |
1 |
0 |
0 |
0.5 |
-0.5 |
-0.5 |
-0.5 |
0 |
|
|
Corn-Soybean-S. Wheat |
2.51 |
2 |
0.5 |
0 |
0.5 |
0 |
-0.33 |
-0.17 |
0 |
|
|
Corn-Soybean-W. Wheat |
3.01 |
2 |
0.5 |
0.5 |
0.5 |
0 |
-0.33 |
-0.17 |
0 |
|
|
S Wheat-W.Wheat-Corn-Soybean |
3.63 |
2 |
0.5 |
0.5 |
0.5 |
0.5 |
-0.25 |
-0.13 |
0 |
Lyman County Rotation Study Profitability of Dryland Rotations
|
Rotation |
Profit/a in 1995 |
Total Profit in 1995 |
Profit/a in 1994 |
Total Profit in 1994 |
Average Profit 1994-1995 |
|
|
ww-fallow |
$16.84 |
$33,680.00 |
$(29.50) |
$(59,000.00) |
$(12,660.00) |
|
|
ww-gflow |
$(0.57) |
$(1,150.00) |
$(13.50) |
$(27,000.00) |
$(14,075.00) |
|
|
ww-lentil |
$(14.09) |
$(28,170.00) |
$29.50 |
$59,000.00 |
$15,415.00 |
|
|
ww-flax |
$17.03 |
$34,050.00 |
$(18.50) |
$(37,000.00) |
$(1,475.00) |
|
|
ww-corn-fw |
$37.75 |
$113,240.00 |
$9.00 |
$27,000.00 |
$70,120.00 |
|
|
ww-corn-flax |
$34.73 |
$104,190.00 |
$8.50 |
$25,500.00 |
$64,845.00 |
|
|
ww-corn-pea |
$21.92 |
$65,760.00 |
$20.50 |
$61,500.00 |
$63,630.00 |
|
|
ww-corn-lentil |
$14.57 |
$43,700.00 |
$25.50 |
$76,500.00 |
$60,100.00 |
|
|
sw-ww-corn-sb |
$(3.99) |
$(15,960.00) |
$16.00 |
$64,000.00 |
$24,020.00 |
|
|
sw-ww-sb-corn |
$(1.44) |
$(5,740.00) |
$26.50 |
$106,000.00 |
$50,130.00 |
|
|
sw-ww-sb-pea |
$4.01 |
$16,030.00 |
$3.50 |
$14,000.00 |
$15,015.00 |
|
|
sw-corn-flax |
$(40.02) |
$(120,070.00) |
$11.00 |
$33,000.00 |
$(43,535.00) |
|
|
sw-corn-sbean |
$(43.11) |
$(129,330.00) |
$13.50 |
$40,500.00 |
$(44,415.00) |
|
|
ww-sbean-flax |
$9.80 |
$29,400.00 |
$(73.50) |
$(220,500.00) |
$(95,550.00) |
|
|
corn-soybean |
$(40.34) |
$(80,670.00) |
$- |
$- |
$(40,335.00) |
Diversity and Intensity Impacts on Profitability 1994 and 1995
|
Rotation |
Intensity Rating |
Diversity Index |
Total Profit in 1994 |
Total Profit in 1995 |
Average Profit 1994-1995 |
||
|
ww-fallow |
0.5 |
(0.50) |
$(59,000.00) |
$33,680.00 |
$(12,660.00) |
||
|
ww-gflow |
1.0 |
0.25 |
$(27,000.00) |
($1,150.00) |
$(14,075.00) |
||
|
ww-lentil |
1.0 |
0.75 |
$59,000.00 |
($28,170.00) |
$15,415.00 |
||
|
ww-flax |
1.0 |
0.75 |
$(37,000.00) |
$34,050.00 |
$(1,475.00) |
||
|
ww-corn-fw |
1.0 |
2.25 |
$27,000.00 |
$113,240.00 |
$70,120.00 |
||
|
ww-corn-flax |
1.33 |
3.00 |
$25,500.00 |
$104,190.00 |
$64,845.00 |
||
|
ww-corn-pea |
1.33 |
3.00 |
$61,500.00 |
$65,760.00 |
$63,630.00 |
||
|
ww-corn-lentil |
1.33 |
3.00 |
$76,500.00 |
$43,700.00 |
$60,100.00 |
||
|
sw-ww-corn-sb |
1.5 |
3.67 |
$64,000.00 |
($15,960.00) |
$24,020.00 |
||
|
sw-ww-sb-corn |
1.5 |
3.67 |
$106,000.00 |
($5,740.00) |
$50,130.00 |
||
|
sw-ww-sb-pea |
1.5 |
3.38 |
$14,000.00 |
$16,030.00 |
$15,015.00 |
||
|
sw-corn-flax |
1.33 |
2.00 |
$33,000.00 |
($120,070.00) |
$(43,535.00) |
||
|
sw-corn-sbean |
1.67 |
2.50 |
$40,500.00 |
($129,330.00) |
$(44,415.00) |
||
|
ww-sbean-flax |
1.33 |
1.58 |
$(220,500.00) |
$29,400.00 |
$(95,550.00) |
||
|
corn-soybean |
2.0 |
0.25 |
$- |
($80,670.00) |
$(40,335.00) |