• Share
  • Email
  • Embed
  • Like
  • Save
  • Private Content

Loading…

Flash Player 9 (or above) is needed to view presentations.
We have detected that you do not have it on your computer. To install it, go here.

Like this presentation? Why not share!

Presenting data to growers

on

  • 150 views

 

Statistics

Views

Total Views
150
Views on SlideShare
150
Embed Views
0

Actions

Likes
0
Downloads
1
Comments
0

0 Embeds 0

No embeds

Accessibility

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment
  • Note how yield continues to increase with N rate at very high N rates in conventional tillage, but yield in no-till tops out at about 170 lb/acre.
  • At most locations, the organic matter levels served to change the productivity level of the experiment, but did little to change the relative response to N within the productivity. Protein responses (not shown) also support this.
  • First, choose the region of the state where the field is located. When you do, the productivity of low, medium and high are defined. Next, choose the productivity for the farm from the 3 options. When this is chosen, the program is selecting the appropriate gross N rate table from a series of hidden tables working behind the scenes and hidden from view. These tables can be accessed in the new SF-712 Fertilizing Hard Red Spring Wheat and Durum circular if you want.
  • Next, arrow up or down to choose a wheat price that is reflective of what the grower may sell the crop for. Then select the N cost. When either of these options is changed, you can watch the change in the green box and in the sky-blue box at the bottom of the site. Next, type in the Nitrogen analysis (nitrate-N, lb/acre) from the soil test. When you do, the Nitrogen recommendation changes automatically in the sky-blue box. Next, choose the previous crop. If the crop does not contribute N to the wheat crop, select the no nitrogen supplying crop and nothing changes. If you select an annual legume, sugarbeet leaf or alfalfa/sweet clover option, the N credit is displayed in the green box directly underneath and the credit is automatically subtracted from the sky-blue box. Next choose the tillage system. If choosing conventional till, nothing changes. If choosing 5 years or less no-till, 20 lb N is added (to compensate for slow mineralization of residues during soil system change). If the field has been in CONTINUOUS no-till for over 5 years, 50 lb N is subtracted in the sky-blue box. No-till is defined as pure no-till with just a slit for the seed and also one-pass shallow (the seeding pass 3 inches or less) seeding. One pass seeding with a deep-combination tool is conventional till. Also, growers that no-till for a couple years and go back to conventional during certain crops, then no-till again go back to year one the year after conventional till. Finally, if the organic matter is greater than 5.9%, enter that number in the pink box. A credit will be displayed in the sky-blue box. No credits are offered for organic matter 5.9% or less.

Presenting data to growers Presenting data to growers Presentation Transcript

  • Presenting Data to Growers Dave Franzen NDSU Extension Soil Specialist, Fargo
  • Our Purpose- Conduct applied research relevant to grower needs and present results in an understandable manner. When a need for change is evident, present results in a transformational manner.
  •  
  • Presentation of data is strongest when strong data has been generated.
  • Nitrogen rate example- Mission is to see if N rate affects soybean yield-
    • Nitrogen rate example-
    • Mission is to see if N rate affects
    • soybean yield-
    • Site locations must be low in residual N.
    • If sites are high in residual N, it would
    • be better not to conduct the study.
    • Weed control example-
    • Glyphosate control of lambsquarter.
    • Site should be screened a year ahead
    • for lambsquarter pressure. If
    • pressure is low, look for another site.
  • Number of sites should be related to impact of the study- Demonstration on spray drift effects- one or two sites probably enough. Review P recommendations for corn- need many sites over several years.
  • Make sure that all relevant background data is taken- If conducting an N trial and you have a low response to N even though residual N to 2 feet is low, taking soil samples to 4 feet to discover previously unseen deep N would be a good practice.
  • So, You have good data You have lots of good data You are really excited about this data How should you present it?
  • First- Remember the objectives of the study and relate the data to the objectives. Example- Objective- determine what effect different levels of field pea in beef cattle rations have on daily gain. Data should clearly emphasize these effects. Any other data should be minimized, or not presented.
  • % pea in ration Methane per animal Moos per day Water intake Feed intake per day Average Daily Gain Cost of feed None 25 120 20 8 11 $5.00 10 27 110 22 8.5 11.5 $5.40 20 28 105 23 8.7 11.8 $5.80 30 30 95 24 8.8 11.9 $6.20
  • The data you present should be relevant to your audience EPA? Water commission? Economic Analysis? Animal psychologist? % pea in ration Methane per animal Moos per day Water intake Feed intake per day Average Daily Gain Cost of feed None 25 100 20 8 11 $5.00 10 27 110 22 8.5 11.5 $5.40 20 28 105 19 8.7 11.8 $5.80 30 30 95 23 8.8 11.9 $6.20
  • Your killer slide to growers should be- % Pea In ration Average Daily Gain None 11.0 10 11.5 20 11.7 30 11.8
  • Treatment Plant N 5-leaf % 100 kernel weight Plants/m 2 Test weight Moisture at harvest Cob weight/20 plants Yield, Bu/acre Check 3.5 100 g 10 56 18 1.2 110 50 lb N 4.0 102 g 10.5 56.5 17 1.5 140 100 lb N 4.5 101 g 9.8 56.2 16 1.4 180
  • Treatment, N rate, lb/acre Yield, bu/acre Check 110 50 140 100 180
  •  
  •  
  •  
  •  
  • Most grower do not understand statistics (Figures lie, liars figure). They will not believe these differences are not real. Better to state-
  • There were no differences between the performance of products A, B and C on crop yield. The average yield for the treatments was about 90 bu/acre.
  • These differences are insignificant. What should we say?
  • Displaying the data in this manner makes it easier to make a non-significant difference point. Don’t fall into the trap of saying “there appears to be a trend’..
  • 2009 Carrington, ave. 2 sites, post-anthesis application for protein enhancement. Schatz Faller yields over 100 bu/acre Slide courtesy of Greg Endres
  • Do not underestimate the power of the computer screen.
  • 1 2
  • 3 4 5 6 7 8
  • Don’t be embarrassed about success. Celebrate it and challenge growers with it-
  • Spring wheat yields with N rate, Fortuna, 2009 N rate, lb/a Yield, bu/a 0 60 50 80 100 102 Be excited about the yields, not apologetic!!!! Challenge growers to do better!
  • Summary- -Do your homework and set up relevant experiments -Generate appropriate amounts of meaningful data -Display only the data the audience has the greatest interest in -Use charts and figures to illustrate trends if data are many -Use statistics as your bedrock and don’t disregard them when it’s inconvenient
  • Summary- -Challenge growers and don’t be apologetic if your yields are greater than theirs.