On-Farm Network Research Reports

The On-Farm Network is growing, and so is access to trial results!  Single site research reports have been organized in the database below, providing detailed information at the farm level, packaged in an easy-to-read single page document.

HOW IT WORKS:

Filter the reports in the database table below by clicking the desired Crop, Year, Trial Type, and/or Major Region.  Within the database table, click on any column header to sort the table.  To view a single site report, select the Trial ID to open the single site research report in a new tab.

In the database table below, trials with significant yield differences are highlighted green in the yield difference column. On each single site report, significance is indicated by a ‘yes/no’ in the overall yield results table.

A trial that does not meet the trial requirements, eg. field history, is not included in the overall average for yield difference.

IMPORTANT INFORMATION:

There are two statistical tests that are used to analyze On-Farm Network data:

  • Paired t-tests
  • Analysis of variance (ANOVA)

The following information will help interpret results from both types of tests.

Coefficient of Variation (CV): This is the statistical measure of random variation in a trial.  The lower the value, the less variable the data.

Confidence Level: For our trials, we use a 95% confidence level. In statistics, the confidence level indicates how certain we are of the outcome of our statistical analysis.

P-value: While a confidence level tells us how certain we are of the results we get from statistical analysis, the P-value indicates if the results are statistically significant. The P-value is a probability that is calculated through the statistical analysis process. A P-value less than 0.05 indicates a statistically significant result, but a P-value greater than 0.05 indicates the results are not significant.

Interpreting Significance: So, if our statistical analysis indicates a significant yield difference, what does that actually mean? A significant yield response (where the P-value is < 0.05) means that we are 95% sure the yield difference resulted from the treatment. Alternatively, if our statistical analysis indicates there is no significant yield difference (where the P-value is > 0.05), then we are 95% certain that the treatment had no effect on yield.

Why are statistics important? Why does significance matter? Why can’t we just look at differences in yield between treated and untreated strips to determine the effect of a treatment?

Variability in yield is expected from strip to strip across an on-farm trial due to the variability that occurs across a field. So, when we get yields from each of our trial strips at the end of the season, the question is whether those yield differences are simply a result of variability in the field, or, if the yield difference is a result of the treatment/management practice investigated in the trial. We can answer that question using statistics. If the results are statistically significant, we can say that the yield difference between treatments or management practices tested in the trial was caused by the treatment or management practice. If the result is not significant, then any yield difference is likely a result of variability within the field and not a result of the treatment or management practice.

Interpreting Results – An Example: In a soybean double inoculant trial, we test the effect of double vs. single inoculant on soybean yield. Let’s say, for example, the average yield difference between double and single inoculated soybeans for one trial was 1.5 bu/ac. This yield difference will be indicated as significant or not significant. If the yield difference is statistically significant, we can say we are 95% certain that the 1.5 bu/ac increase in yield is a result of the double inoculant treatment. But, if the 1.5 bu/ac yield difference is not significant, then the double inoculant had no effect on yield compared to single inoculant and the 1.5 bu/ac yield difference simply resulted from natural variability across the trial area.

MPSG does not endorse the use of products tested in the On-Farm Network.  Although trials are conducted at multiple sites under varying conditions, your individual results may vary.  Contents of these research publications can only be reproduced with the permission of MPSG.

 

Crop

Year

Trial Type

Major Region

NOTE: To view all columns, scroll left to right

Year Region Municipality Crop Trial Type Trial Detail Yield +/- Unit Trial ID
2019 Central De Salaberry Soybean Population 190K vs 160K vs 130K bu/ac 2019-SP06
2019 Central Montcalm Dry Bean Foliar Fungicide Cotegra vs. Untreated 6 lbs/ac 2019-DBF01
2019 Southwest Prairie Lakes Soybean Foliar Fungicide Priaxor vs. Untreated -0.37 bu/ac 2019-SF03
2019 Eastern Tache Soybean Row Spacing 15" vs 30" 0.3 bu/ac 2019-SRS09
2019 Northwest Swan Valley West Pea Foliar Fungicide Dyax vs. Untreated 2.3 bu/ac 2019-PF07
2019 Central De Salaberry Soybean Population 190K vs 160K vs 130K bu/ac 2019-SP05
2019 Northwest Dauphin Soybean Foliar Fungicide Priaxor vs. Untreated 0.7 bu/ac 2019-SF02
2019 Central Roland Soybean Row Spacing 7.5" vs 15" 1.6 bu/ac 2019-SRS08
2019 Southwest Two Borders Pea Foliar Fungicide Delaro x2 vs. Delaro x 1 4 bu/ac 2019-PF05
2019 Central Grey Soybean Population 190K vs 160K vs 130K bu/ac 2019-SP04
2019 Interlake St. Andrews Soybean Foliar Fungicide Priaxor vs. Untreated 1.2 bu/ac 2019-SF01
2019 Eastern De Salaberry Soybean Row Spacing 15" vs 30" 1.9 bu/ac 2019-SRS06
2019 Southwest Elton Pea Foliar Fungicide Headline EC vs Untreated 1.3 bu/ac 2019-PF04
2019 Central Morris Soybean Population 190K vs 160K vs 130K bu/ac 2019-SP03
2019 Eastern Brokenhead Soybean Biologicals Crop Aid Soil vs Untreated -1.7 bu/ac 2019-SB01
2019 Central Morris Soybean Row Spacing 15" vs 30" -0.4 bu/ac 2019-SRS05
2019 Central Louise Pea Foliar Fungicide Priaxor vs. Untreated 0.48 bu/ac 2019-PF03
2019 Northwest Dauphin Soybean Population 190K vs 160K vs 130K bu/ac 2019-SP02
2019 Northwest Dauphin Soybean Biologicals Active Flower® vs Untreated -0.4 bu/ac 2019-SB02
2019 Central Louise Soybean Row Spacing 7.5" vs 15" -0.97 bu/ac 2019-SRS04
2019 Interlake Rockwood Pea Foliar Fungicide Priaxor vs. Untreated 3.2 bu/ac 2019-PF02
2019 Eastern Brokenhead Soybean Population 190K vs 160K vs 130K bu/ac 2019-SP01
2019 Northwest Dauphin Soybean Seed Treatment EverGol Energy + Stress Shield vs. Untreated 0.1 bu/ac 2019-SST07
2019 Northwest Dauphin Soybean Double Inoculant Seed Applied vs. Seed Applied + In-furrow Inoculant -0.9 bu/ac 2019-S2IN04
2019 Interlake Bifrost-Riverton Soybean Row Spacing 10" vs 20" 0.3 bu/ac 2019-SRS03
2019 Central Rhineland Pea Foliar Fungicide Delaro vs. Untreated 1.4 bu/ac 2019-PF01
2019 Interlake Bifrost-Riverton Soybean Foliar Fungicide Priaxor vs. Untreated 0.0 bu/ac 2019-SF09
2019 Central Westlake-Gladstone Soybean Seed Treatment Cruiser Maxx Vibrance Beans vs. Untreated -0.5 bu/ac 2019-SST06
2019 Northwest Dauphin Soybean Double Inoculant Seed Applied vs. Seed Applied + In-furrow Inoculant -0.4 bu/ac 2019-S2IN03
2019 Interlake St. Andrews Soybean Row Spacing 15" vs 30" 0.0 bu/ac 2019-SRS02
2019 Central Rhineland Dry Bean Fertility 0lbs vs 40lbs vs 70lbs vs 140lbs N lbs/ac 2019-DBN03
2019 Interlake Bifrost-Riverton Soybean Foliar Fungicide Priaxor vs. Untreated -0.4 bu/ac 2019-SF08
2019 Eastern De Salaberry Soybean Seed Treatment EverGol Energy vs. Untreated 0.0 bu/ac 2019-SST05
2019 Southwest Grassland Soybean Double Inoculant Seed Applied vs. Seed Applied + In-furrow Inoculant 0.0 bu/ac 2019-S2IN02
2019 Eastern Springfield Soybean Population 190K vs 160K vs 130K bu/ac 2019-SP10
2019 Central Norfolk Treherne Dry Bean Fertility 0lbs vs 70lbs vs 140lbs N lbs/ac 2019-DBN01
2019 Eastern Brokenhead Soybean Foliar Fungicide Priaxor vs. Untreated 0.8 bu/ac 2019-SF07
2019 Central Morris Soybean Seed Treatment Cruiser Maxx Vibrance Beans vs. Untreated 1.2 bu/ac 2019-SST04
2019 Eastern Lac du Bonnet Soybean Single Inoculant Seed Applied Inoculant vs. Untreated 0.1 bu/ac 2019-S1IN05
2019 Eastern Hanover Soybean Population 190K vs 160K vs 130K bu/ac 2019-SP09
2019 Central Rhineland Dry Bean Single Inoculant BOS Peat Inoculant vs Untreated 2 lbs/ac 2019-DBI01
2019 Central Morris Soybean Foliar Fungicide Cotegra vs. Untreated 0.0 bu/ac 2019-SF06
2019 Central Morris Soybean Seed Treatment EverGol Energy vs. Untreated 1.9 bu/ac 2019-SST03
2019 Central Brokenhead Soybean Single Inoculant Seed Applied Inoculant vs. Untreated -0.7 bu/ac 2019-S1IN02
2019 Central Westlake-Gladstone Soybean Population 190K vs 160K vs 130K bu/ac 2019-SP07
2019 Central Portage la Prairie Dry Bean Foliar Fungicide Lance AG vs. Untreated 50 lbs/ac 2019-DBF02
2019 Southwest Two Borders Soybean Foliar Fungicide Cotegra vs. Untreated -1.1 bu/ac 2019-SF04
2019 Northwest Dauphin Soybean Seed Treatment Evergol, 1x Evergol Energy + Stress Shield, 1x Evergol Energy + Stress Shield + Headsup bu/ac 2019-SST02
2019 Northwest Livingston Pea Foliar Fungicide Cotegra vs. Untreated 1.3 bu/ac 2019-PF08
2018 Central Grey Soybean Seed Treatment EverGol Energy vs. Untreated -0.1 bu/ac 2018-SST01