Prediction of germination of commercially available seed lots by regression models developed by artificial and natural ageing and electrical conductivity in leek-Reference-Cited by-同舟云学术

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Prediction of germination of commercially available seed lots by regression models developed by artificial and natural ageing and electrical conductivity in leek

Published:2017-07-01 Issue:2 Volume:45 Page:465-474
ISSN:0251-0952
Container-title:Seed Science and Technology
language:en
Short-container-title:Seed Science and Technology

Author:

Ozden E.,Delialioglu R. Albayrak,Hussein S.,Demir I.

Publisher

International Seed Testing Association

Subject

Horticulture,Plant Science,Agronomy and Crop Science

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Determination of efficiency degrees on vigor and antioxidant content of after ripening treatment in eggplant seeds;Notulae Botanicae Horti Agrobotanici Cluj-Napoca;2024-02-29

2. Tetrazolium Test for Evaluating Viability of Stored Rice (Oryza Sativa) Seeds;Seed Science and Technology;2023-04-30

3. A system for the control and recording of physical parameters inside a chamber for UV-C irradiating of biological material;E3S Web of Conferences;2019

4. Effect of laser light on germination of Lavatera thuringiaca L. seeds studied by binomial distribution;Seed Science and Technology;2018-12-01

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