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The Effects of Spring Tillage on Crop Emergence and Soil Moisture

 
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 Experimental procedure | Results and discussion | Conclusions and recommendations

Abstract
In the spring of 1991, the Alberta Farm Machinery Research Centre completed a research project on the effect of pre-seeding tillage on crop emergence. The project was initiated because of a request from Alberta Agriculture's Provincial Farm Machinery Specialist, Murray Green. The objective of the project was to determine the effects of tillage depth and secondary tillage operations on crop emergence. A secondary objective was to determine how tillage affected soil moisture, soil particle size and crop emergence.

While some trends were apparent from the soil moisture, particle size and trash results, no statistically significant relationship between experimental factors resulted.

Introduction
While numerous papers have been written on tillage and soil conservation practices, little specific research on tillage effects has been done successfully in Southern Alberta. Most of the research into the tillage area has concentrated on no-till applications. Generally, results from no-till experiments follow that of Johnson, Lowery and Daniel (1982). No-till farming practices appear to be the most drought resistant and the best moisture conservation tool available to farmers.

The amount of moisture remaining in the soil after conventional tillage practices has, for the most part, not been addressed. Early spring tillage continues to be used in most farming practices to control weeds and prepare a seedbed for seeding operation. However, Lindwald (1984) stated that water is the factor limiting plant growth in the semi-arid regions of Canada. While weed control and seedbed preparation is required, moisture loss in the soil should be limited where possible. In areas where soil moisture is the limiting plant growth factor, wind erosion is normally an additional problem. Boyer (1983) indicated that residue management is very effective in controlling both soil temperature and crop emergence and concluded that maximum moisture loss occurs with conventional tillage.

Based on comments from researchers and literature in the tillage area, a project examining tillage depth and secondary tillage interaction was developed. It should, however, be noted that the primary reason for tillage is still weed control. To examine the soil moisture retained after tillage may not be examining the real effects of tillage practices or addressing all the issues.

Experimental Procedure

Statistical design
Chisel plow depth and secondary tillage operations were the two factors of the experiment. Chisel plow factor levels included 102 mm (4 in) tillage depth, 51 mm (2 in) tillage depth and 0 mm or no chisel plow tillage. No tillage, harrows, packers and a harrow packer combination made up levels of the secondary tillage factor.

The three levels of tillage depth and the four levels of secondary tillage resulted in a 3 x 4 full factorial split block design experiment. The split block design was made of three blocks containing 12 plots each. Blocks were used to eliminate random effects due to differences in initial field moisture content.

Plot layout
Plots were 8.53 m (28 ft) in width by 30.48 m (100 ft) in length. Figure 1 illustrates the 36 plot lay out. A 2.74 m (9 ft) tool bar was used to apply the tillage treatments to the plots. Twelve John Deere heavy duty cultivator shanks were mounted with 22.86 cm (9 in) spacing between shanks in four rows on the tool bar. The shanks were fitted with 30.48 cm (12 in) cultivator sweeps. John Deere specifications indicated a trip force of 658 kg (1450 lbs) on the shanks. Three row tine harrows and spiral packers were mounted on the back of the tool bar.

Three tillage passes at 8 km/h (5 mph) on each plot resulted in 8.23 m (27 ft) width of worked plot. A 2.14 m (7 ft) Cereal Implements 2300 Hoe Drill was used to seed three strips in each plot. After seeding, plots were 6.4 m (21 ft) wide. Laura spring wheat was seeded at 84.08 kg/ha (75 lb/ac) and 29-25-0 fertilizer was applied at 84.08 kg/ha (75 lbs/ac).

Plot outline


.
Plot Number
Treatments
cultivator depth (in)
Secondary Tillage
1
0
None
2
0
Harrows
3
0
Packers
4
0
Harrow & Packers
5
2
None
6
2
Harrows
7
2
Packers
8
2
Harrow & Packers
9
4
None
10
4
Harrows
11
4
Packers
12
4
Harrow & Packers
Figure 1. Plot layout

Results and Discussion

Soil moisture
Surface soil moisture content was measured using a 102 mm (4 in) core sampler with a 19 mm (0.75 in) diameter. The oven drying technique was used to determine soil moisture content. Three random samples were taken in each plot. Each day 108 soil moisture samples were taken over the plot. Soil moisture was determined prior to tillage and at 24 hour intervals up to seeding (Graphs 1, 2 and 3). Seeding took place 13 days after tillage of the plots. The same trends occurred in each plot over the 13 day sample period, with increased soil moisture content after precipitation.

Graph 4 outlines the average soil moisture data relating to tillage depth. After precipitation, any trends relating to soil moisture were less apparent. However, at a tillage depth of 102 mm (4 in), soil moisture content fell more rapidly than on plots tilled to a depth of zero or 51 mm (2 in) after the precipitation period.

Four levels of the secondary tillage factor were applied to the plots. Graph 5 illustrates the soil moisture with respect to the secondary tillage levels. Soil moisture decreased with warm, dry weather and increased with precipitation. No correlation between soil moisture content and secondary tillage was apparent.

Graph 6 shows the soil moisture data separated by blocks. No correlation between soil moisture content and block is apparent.

Since no correlation between soil moisture content and experimental factors occurred, soil moisture was graphed using differences between plot moisture just prior to the precipitation period and plot moisture before tillage. Precipitation occurred four days after tillage operations.

Graph 7 describes change in soil moisture related to tillage depth. A relationship between soil moisture and tillage depth appears to exist. The deeper the tillage, the greater the moisture loss. Plots which were not tilled gained soil moisture, while those tilled to depths of 51 mm (2 in) and 102 mm (4 in) lost 0.2 and 1.0 % moisture content, respectively.

Graph 8 compares the change in plot soil moisture content to before tillage moisture. Plots tilled to a 102 mm (4 in) depth experienced greater moisture loss than others plots. The steep slope of the plotted line illustrates a more rapid moisture loss with the 102 mm (4 in) tillage. Any differences between the no-till group and the group tilled at 51 mm (2 in) are less obvious.

Graph 9 reflects the change in soil moisture content related to tillage depth. No correlation is apparent.

Moisture data was also analyzed with respect to tillage depth, excluding any plots which received secondary tillage treatments (Graph 10). Results indicated tilled plots lost more moisture than plots which were not tilled. There was no significant difference between those tilled to 51 mm (2 in) or 102 mm (4 in) in depth. However, no-till plots appeared to retain more moisture than tilled plots.


Graph 1. Soil Moisture Data - Plots 1 to 4.


Graph 2. Soil Moisture Data - Plots 5 to 8.


Graph 3. Soil Moisture Data - Plots 9 to 12.


Graph 4. Soil Moisture Data vs Tillage Depth.


Graph 5. Soil Moisture Data vs SecondaryTillage Treatment.


Graph 6. Soil Moisture Data vs Block.


Graph 7. Soil Moisture Depletion vs Tillage Depth.


Graph 8. Change in Soil Moisture vs Tillage Depth.


Graph 9. Change in Soil Moisture vs Secondary Tillage Treatment.


Graph 10. Change in Soil Moisture vs Tillage Depth (Excluding 2nd Treatment).

An analysis of variance was performed on the soil moisture data (Table 1). Since variations in the results because of the block design were considered random effects, the analysis was performed with the interactions of the blocks and the factors in the error term. All interactions, including the blocks, were non-significant at a P-value above 10%. P-values above 10% indicated little or no relation between the experiment factors and soil moisture content.

Table 1. ANOVA of soil moisture content
Source of Variation
DF
Sum of Squares
Mean Square
F
P-Value
Treatment
11
35.067
3.188
0.774
>0.10
Blocks
2
7.845
3.922
0.953
>0.10
Depth (3)
2
11.012
5.506
1.337
>0.10
Tillage (4)
3
0.877
0.292
0.071
>0.10
Error
22
90.584
4.117
Total
35
133.496
.
Residue cover
Nine random residue cover samples were taken prior to tillage. Residue cover was determined by weighing 0.25 m² (2.291 ft²) samples of laying and standing stubble. Samples were cut, bagged and weighed. Before tillage, average stubble density was 2687.511 kg/ha (2390 lb/ac) with a standard deviation of 875.09 kg/ha (780.84 lb/ac). The coefficient of variation between the samples was 32%. Three random 0.25 m² (2.291 ft²) samples were taken from each plot after tillage. (Table 2 and Graph 11). Samples included both trash laying on the surface and standing stubble.

No correlation between tillage depth or secondary tillage to stubble amount is apparent. No correlation was attributed to the small sample size and the large variation in the initial trash density of the field. In addition, both standing and laying stubble were collected. Tests done where standing stubble was only collected may have caused more variations in the stubble density. Due to the number of samples taken and variation in initial field stubble measurements, an analysis of variance was not performed on the data.

Table 2. Residue Cover
Before Tillage

    Average Concentration = 2687.51 Kg/Ha
    Standard Deviation = 879.05 Kg/Ha
    Coefficient Of Variation = 32.56%
After Tillage
Tillage Depth
Secondary Tillage
Stubble Density
mm
in
kg/ha
0
0
None
2106
0
0
Harrows
1671
0
0
Packers
874
0
0
Harrows & Packers
998
51
2
None
3189
51
2
Harrows
1675
51
2
Packers
3448
51
2
Harrows & Packers
943
102
4
None
2427
102
4
Harrows
2571
102
4
Packers
2258
102
4
Harrows & Packers
977
.

Graph 11. Residue Cover.

Soil particle size
Soil particle size samples were taken 24 hours after the tillage operations. A 30 kg (66 lb) sample of soil was taken from the top 102 mm (4 in) of each plot of the first block. Samples were placed in Canadian standard sieve numbers 3.5, 6, 8, 12, 16 and 20. Soil remaining on each sieve and passing through all sieves was weighed. Sieves were shook for 30 seconds in a mechanical shaker. Samples were weighed and percentages of soil in each sieve determined (Table 3).

Table 3. Soil Particle Analysis.
Depth
Secondary Tillage
Percentage of Total in Sieve (%)
Sieve Size (mm)
mmin
5.60 - +
3.35 - 5.60
2.36 - 3.35
1.70 - 2.36
1.18 - 1.70
0.85 - 1.18
0.00 - -.85
00None
18.83
15.39
12.30
11.35
15.19
14.53
12.43
00Harrow
18.94
15.03
11.93
11.09
15.51
14.83
12.66
00Packer
18.62
15.35
12.30
11.28
13.19
13.18
16.08
00Har. + Pac.
20.23
14.76
11.72
10.80
13.54
12.69
16.27
512None
17.18
15.32
12.58
11.66
13.22
16.02
14.03
512Harrow
19.95
15.29
11.97
10.99
14.78
13.84
13.19
512Packer
20.38
14.76
11.53
10.57
16.85
12.43
13.50
512Har. + Pac.
17.17
15.72
12.59
11.58
13.23
16.39
13.32
1024None
18.61
14.63
11.56
11.34
18.05
12.99
12.82
1024Harrow
16.10
14.73
11.84
12.32
20.12
12.26
12.64
1024Packer
18.33
15.61
12.53
11.44
11.96
13.96
16.18
1024Har. + Pac.
20.50
16.27
13.09
12.02
12.06
12.87
13.19
.
Only one sample was taken from the first twelve plots. Based on the small sample size, the analysis of variance was only applied to the different sieve sizes with the depth of tillage and secondary tillage being considered in the error term. ANOVA results indicated a significant difference in the mass percentage of contents of the sieves. Table 4 illustrates the ANOVA results. The significant difference in sieve sizes is evident in the results. Graphs 12, 13, and 14 illustrate the trends among the samples. An increase in percentages of soil particles in sieves occurred with the 5.6 and 1.18 mm sieves. No relationship between the experiment factors and particle distribution was apparent.

Table 4. ANOVA of soil particle size.
Source of Variation
DF
Sum of Squares
Mean Square
F
P-Value
Treatment
11
0.00
0.000
Blocks (7)
6
412.649
68.775
31.970
<0.005
Error
66
141.982
2.151
Total
83
554.631
.

Graph 12. Soil particle distribution 0 depth.


Graph 13. Soil particle distribution 51 mm (2 in) depth.


Graph 14. Soil particle distribution 102 mm (4 in) depth.

Crop emergence
Four random 0.25 m² (2.691 ft²) crop emergence samples were taken on each plot. Samples were taken by counting the number of plants in the 0.25 m² (2.691 ft²) area (Table 5). Emergence samples were taken 15 days after seeding. Graph 12 illustrates the average crop emergence for the plots.

Table 5. Crop emergence results.
Depth
Secondary Tillage
Block Number
mmin
1
2
3
00None654648456243464651616149
00Harrow475040514944554337664551
00Packer615057474539614952525651
00Harrow + Packer365747514539595744436041
512None493436713436394255475034
512Harrow254556544076353762554842
512Packer504638535144545543415854
512Harrow + Packer444637544544615237725158
1024None324436624835413633553958
1024Harrow406555484348403854554042
1024Packer654732495231444551435045
1024Harrow + Packer436362606251615460274448
.

Graph 15. Average crop emergence.

The overall average plant count was 48.42 plants per 0.25 m² (2.691 ft²) sample. ANOVA results (Table 6) indicated no statistical significance among blocks or experimental factors related to crop emergence. No significance was probably due to the large amount of precipitation which brought all soil moisture contents and soil temperatures to approximately the same values.

Table 6. ANOVA of crop emergence.
Source of Variation
DF
Sum of Squares
Mean Square
F
P-Value
Treatments
11
303.440
27.585
1.934
>0.10
Blocks (3)
2
32.056
16.028
1.123
>0.10
Depth, D (3)
2
44.858
22.428
1.572
>0.10
Second, S (4)
3
80.422
26.807
1.879
>0.10
D, S
6
178.156
29.693
2.081
>0.10
Error
22
14.266
Total
35
649.350
.
Conclusions and Recommendations

No relationship between initial and final soil residue cover was apparent. Small sample numbers and large variations in initial residue levels contributed to no significant trends. In addition, both standing and laying stubble was used in the samples. In the future, laying and standing stubble should be separated and taken as two different samples.

When comparing crop emergence to experimental factors, no relationship was apparent. Precipitation on the plots was concluded as the main factor influencing no significant crop emergence results. If no rain fell, plots may have shown a significant difference in emergence.

Soil particle samples showed no significant difference among experimental factors. Difficulty in sampling and length of sampling time resulted in only 12 samples taken. A larger sample size may have resulted in more apparent trends among experimental factors. Statistical differences were found between sieve size, but the same trends occurred regardless of tillage depth or secondary tillage used. An increase in the percentage of total soil in the sieve occurred with the 5.6 mm and 1.18 mm sieves. Sampling techniques currently available for soil particle analysis are inconclusive and extremely time consuming. If future work into soil particle sizing is to be conducted, a new method of sample analysis should be addressed.

No statistically significant relationship was found between soil moisture and experimental factors. Since no relationship between soil moisture and experimental factors occurred, results were compared to pre-tillage moisture contents. When soil moisture was compared to pre-tillage moisture, relationships between moisture content and experimental factors existed. Deeper tillage caused greater moisture loss. Plots which were not tilled gained soil moisture. Those tilled to depths of 51 mm (2 in) and 102 mm (4 in) lost 0.2 and 1.0% moisture content, respectively. Moisture was also analyzed with tillage depth, excluding any plots which received secondary tillage treatments. Tilled plots lost more moisture than plots which were not tilled. There was no significant difference between those tilled to 51 mm (2 in) or 102 mm (4 in). However, no-till plots appeared to retain more moisture than tilled plots.

The Alberta Farm Machinery Research Centre (AFMRC) is at the forefront of machinery evaluations, applied and scientific research, and development of innovative agricultural technologies.

 
 
 
  For more information about the content of this document, contact Lawrence Papworth.
This document is maintained by George Ragan.
This information published to the web on February 19, 2002.
Last Reviewed/Revised on March 7, 2006.
 

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