Interpreting Yield Data
Weather data summary for the 2005-growing season
Performance summary – Standard trials (insecticide applied)
Regional PLH Trial
Alfalfa Variety Trial - South Charleston, Ohio – 2003 Seeding
Alfalfa Variety Trial – Wooster, Ohio – 2003 Seeding
Alfalfa Variety Trial – North Baltimore, Ohio – 2004 Seeding
Alfalfa Variety Trial – Jackson, Ohio –2004 Seeding
Alfalfa Variety Trial –, South Charleston, Ohio – 2005 Seeding
Potato Leafhopper Resistant Trial – South Charleston, Ohio – 2004 Seeding
Potato Leafhopper Resistant Trial – Jackson, Ohio – 2004 Seeding
Red Clover Variety Trial - S.
Charleston, Ohio - 2000 Seeding.
Orchardgrass Variety Trial – South Charleston, Ohio – 2003 Seeding
Annual Ryegrass Variety Trial – South Charleston, Ohio – 2004 Seeding
Annual Ryegrass Variety Trial – South Charleston, Ohio – 2005 Fall Seeding
Tall Fescue Variety Trial – Jackson, Ohio – 2004 Seeding
Perennial Ryegrass Variety Trial – South Charleston, Ohio –2005 Seeding
Address of Marketers
Download files of yield data for
All Yield Trials - PDF for Printing
Alfalfa Yield Trials - Excel
Grass Yield Trial - Excel
Forage Variety Trials in Other States
2005 Ohio Forage Performance Trials
Interpreting Yield Data
Details of establishment and management of each
test are listed in footnotes below the tables. Least significant differences
(LSD) are listed at the bottom of all but the Performance Summary tables. Differences between
varieties are significant only if they are equal to or greater than the LSD
value. If a given variety out yields another variety by as much or more than the
LSD value, then we are 95% sure that the yield difference is real, with only a
5% probability that the difference is due to chance alone. For example, if
variety X is 0.50 ton/acre higher in yield than variety Y, then this difference
is statistically significant if the LSD is 0.50 or less. If the LSD is 0.51 or
greater, then we are less confident that variety X really is higher yielding
than variety Y under the conditions of the test.
The CV value or coefficient of variation, listed at the
bottom of each table is used as a measure of the precision of the experiment.
Lower CV values will generally relate to lower experimental error in the trial.
Uncontrollable or unmeasurable variations in soil fertility, soil drainage, and
other environmental factors contribute to greater experimental error and higher
Results reported here should be representative of what
might occur throughout the state but would be most applicable under
environmental and management conditions similar to those of the tests. The
relative yields of all forage legume varieties are affected by crop management
and by environmental factors including soil type, winter conditions, soil
moisture conditions, diseases, and insects.