SeedCalc7 was developed by seed quality statistician to assist
in calculation of purity/impurity levels in seed lots with the
ability to set the confidence level and determine the amount of
risk that is associated with different sampling/testing
schemes. This Microsoft Excel program is available at the
International Seed Testing Association Statistics committee
website (http://seedtest.org/en/content---1--1143.html).
In the table below are various number of seeds that are tested
in genetic or trait purity testing (growouts, electrophoresis,
insecticide trait) with different number of deviants for the
testing and the calculated purity level and the upper bound
limit at a 95% level. In our example, a 95% confidence level
that means that the purity level will be below the upper bound
limit 95% of the time.
Number
of Seeds |
Number
of deviants |
Calculated Purity % |
Upper
Bound Limit |
50 |
0 |
100 |
5.82 |
100 |
0 |
100 |
2.95 |
50 |
1 |
98 |
9.14 |
100 |
1 |
99 |
4.66 |
100 |
2 |
98 |
6.16 |
100 |
5 |
95 |
10.23 |
90 |
0 |
100 |
3.27 |
90 |
3 |
96.7 |
8.39 |
180 |
7 |
96.1 |
7.18 |
For example, if
50 seed electrophoresis test resulted with 0 offtypes or selfs,
the calculated purity level would be 100% with a upper bound
level of 5.82% impurity. With 1 deviant in 50 seeds, the purity
level is 98% with an upper bound level of 9.14% impurity. If an
additional 50 seeds are tested and 0 deviants (total tested =
100, 1 deviant), the purity level is 99% with an upper bound
level of 4.66% impurity.
By using sequential sampling, a testing plan can be devised to
maximize information and costs while testing genetic purity to a
confidence level and quality standard that your company is
comfortable in providing to your customer. If you would like
additional information, please contact Kalyn at
kalyn.brixdavis@sgs.com.