Biometric data (include DQI) of some individual seedlings produced from seeds of the Negorelskaya variety Pinus sylvestris L. (empirical refilled dataset)

Published: 12 December 2023| Version 1 | DOI: 10.17632/9kyz2gmrdj.1
Contributors:
Arthur Novikov,
,

Description

The dataset contains tabular data of biometric and mass parameters of container-grown seedlings, randomly selected on the 60th day after sowing the seeds. The block also contains calculated indices of seedling quality

Files

Steps to reproduce

Seedlings were removed from the cells one from each of the 30 side-slit containers on the 60th day from the moment of sowing. Next, the seedlings were washed in water from the substrate and shaken from water droplets. After that, the seedlings were weighed, direct measurements were made of SH (ruler, accuracy 0.5m), RD, RD and CTRL (digital vernier caliper, accuracy 0.1 mm). Then they were laid out on a boat and dried at a temperature of 105 ° C for 1 hour (convection oven). After drying, they were weighed to obtain the parameters DW, DW, and SW (digital scales, accuracy 1 mg). Then, the seedling quality indicators were calculated using the following equations 1-9 (see preprint Novikova, T.P.; Petrishchev, E.P.; Novikov, A.I. The VIS-Spectrometric Data of Scots Pine Individual Seed Reveal Forecasting Potential for Container-Grown Germination and Seedling’s Dickson Quality Index. Preprints 2023, 2023120561. https://doi.org/10.20944/preprints202312.0561.v1)

Institutions

Voronezskij gosudarstvennyj lesotehniceskij universitet imeni G F Morozova

Categories

Pinus sylvestris, Tree Growth, Afforestation, Reforestation, Seed, Seed Production, Database

Funding

Russian Science Foundation

23-26-00228

Licence