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Scots Pine Seedlings Growth Dynamics Data Reveals Properties for the Future Proof of Seed Coat Color Grading Conjecture

Author

Listed:
  • Arthur Novikov

    (Mechanical Department, Voronezh State University of Forestry and Technologies named after G.F. Morozov, 8, Timiryazeva, Voronezh 394087, Russia)

  • Vladan Ivetić

    (Faculty of Forestry, University of Belgrade, Kneza Višeslava 1, Belgrade 11030, Serbia)

  • Tatyana Novikova

    (Mechanical Department, Voronezh State University of Forestry and Technologies named after G.F. Morozov, 8, Timiryazeva, Voronezh 394087, Russia)

  • Evgeniy Petrishchev

    (Mechanical Department, Voronezh State University of Forestry and Technologies named after G.F. Morozov, 8, Timiryazeva, Voronezh 394087, Russia)

Abstract

Seed coat color grading conjecture is also known as Pravdin’s conjecture. To verify the conjecture, we established a long-term field experiment. This data set included unique empirical data of Scots pine ( Pinus sylvestris L.) container-grown seedlings produced from different seed color grades, outplanted on a post fire site in the Voronezh region, Russia. Variables were provided for 10 rows of 90 samples in each row. These data contribute to our understanding of seed germination and seedlings growth dynamics from size and color gradings of seeds. This structure is the future basis of the Forest Reproductive Material Library (FRMLib) and will be used for assisted migration and forest seed transfer.

Suggested Citation

  • Arthur Novikov & Vladan Ivetić & Tatyana Novikova & Evgeniy Petrishchev, 2019. "Scots Pine Seedlings Growth Dynamics Data Reveals Properties for the Future Proof of Seed Coat Color Grading Conjecture," Data, MDPI, vol. 4(3), pages 1-8, July.
    • Handle: RePEc:gam:jdataj:v:4:y:2019:i:3:p:106-:d:250950
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    Cited by:

    1. Tatyana P. Novikova & Clíssia Barboza Mastrangelo & Paweł Tylek & Svetlana A. Evdokimova & Arthur I. Novikov, 2022. "How Can the Engineering Parameters of the NIR Grader Affect the Efficiency of Seed Grading?," Agriculture, MDPI, vol. 12(12), pages 1-17, December.

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