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Region 5 Rice Seed Count Project 2019: Enhancing Seed Count Data for Improved Accuracy

The Region 5 Rice Seed Count Project 2019 aims to enhance seed count data through innovative methods for more accurate determinations. The proposal introduces new seed count instructions and tolerance factors for mechanical rice seed counting. Statistical analysis findings, calibration procedures, and conclusions are presented.

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Region 5 Rice Seed Count Project 2019: Enhancing Seed Count Data for Improved Accuracy

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  1. Region 5 Rice Seed Count Project 2019 AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA v30MAY2019

  2. Participants & Stat. Analysis* Total value of donated testing services was ~$6,500. CE Points awarded to participants.

  3. Region 5 Rice Seed Count Project 2019

  4. Region 5 Rice Seed Count Project 2019 “Cajun Double Cropping” Rice + Crawfish OR Rice + Rice

  5. Seed Counter Types “Low Tech” “High Tech”

  6. “Mid Tech” Seedburo 801 Count-A-Pak The Old Mill International Marketing Design Data Technologies Contador

  7. Rice Seed Count – Current Practices

  8. PURPOSE OF PROPOSAL 26: • Proposed as a “tentative” rule proposal to trial the use of new method and obtain more seed count data to determine most appropriate tolerance factor (We will discuss why “tentative” later.) • Add future rice mechanical seed count instructions to Section 12 of the AOSA Rules • Add future rice seed count tolerance factor to Section 14.9 Table 14P of the AOSA Rules NOTE: AOSA Rules currently have a mechanical seed count method and tolerance factor for soybeans, corn, wheat, and field beans.

  9. Note: Tolerances used for comparing BOTH mechanical and non-mechanical seed count methods.

  10. Rice Seed Count Project - Method • Project statistical design by Sabry Elias, PhD (OSU) and Riad Baalbaki, PhD (CDFA) • Labs selected based on experience conducting mechanical & non-mechanical seed counts • Labs were each sent 200 gr samples each of long grain, medium grain, and short grain commercial rice seed lots • Labs conducted a purity exam on all samples prior to conducting seed counts

  11. Rice Seed Count Project - Method • Labs calibrated and verified the mechanical seed counter following the AOSA Rules Section 12.2 using a 1,000 rice seed calibration sample • Labs created and mechanically counted four 100gr replicates, four 50gr replicates, and four 25gr replicates of each of the three samples • Labs also conducted a non-mechanical count (i.e. hand count) on four replicates of 200 seeds for each of the three samples

  12. Rice Seed Count Project - Findings • Based upon the data and statistical analysis, it was determined the tolerance factor would be 2.5% • After the referee was concluded, 50commercial seed lots with seed count claims were checked and the following compliance rates were determined, with various tolerances being applied • 2.5% tolerance = 58% out of tolerance • 3.0% tolerance = 46% out of tolerance • 4.0% tolerance = 24% out of tolerance • 5.0% tolerance = 12% out of tolerance

  13. Rice Seed Count Project - Questions • Do commercial seed lots have a larger variation of seed sizes than what was found in the samples used for this referee? • Would a mechanical seed count provide a more accurate and consistent seed per pound determination since a larger sample size would be counted? • Other factors and variables to consider?

  14. Rice Seed Count Project - Conclusions • The 2.5% tolerance factor appears to be too strict to be implemented • More mechanical seed count data needed from commercial seed lots with labeled seed count claims • More mechanical seed count referee testing with multiple labs and multiple commercial seed lots

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