Design and Optimizing of Precision Seeder of Pinus sylvestris var. mongolica L. Bud-Seeds for Containerized Nursery Production

Author:

Miao Zhen-Kun1,Li Zhi-Ru1

Affiliation:

1. Harbin Institute of Forestry Machinery, National Forestry and Grassland Administration, 150000, Harbin, China

Abstract

Mongolian pine holds immense ecological and economic values as a vital biobased material. Its wood fiber, rosin and turpentine are important raw materials suitable for multiple industrial applications, it also exhibited soil and water conservation capabilities. To improve its seeding efficiency, this study designed a precision seeding machine for Mongolian pine (Pinus sylvestris var. mongolica L.) bud-seeds, and optimized the technical seeding parameters, which utilized a combined vibration-air blowing fluidization device to overcome seed flowability limitations and facilitate accurate seed selection. A particle model was established based on the seeds’ physical characteristics, and EDEM software was utilized to simulate the spatial distribution of seed particles under various seeding parameters through seeding experiments. The optimal air pressure for the combined seed supply was approximately 0.24 kPa, with a frequency of 20 Hz and an amplitude of 5 mm, to obtain an optimal spatial distribution of the seed particles. The most effective seeding area for seed adhesion was determined to be 5–15 mm from the bottom of the seeding plate. When the seed suction negative pressure is set to 6.7 kPa, with an upper hole diameter of 0.9 mm, a lower hole diameter of 3 mm, and a hole depth of 1.5 mm, the seedling emergence rate reached 89.06%, and the fastest emergence time was 2 days. One month after sowing, the seedlings exhibited a height growth rate of 16.1%, and a ground diameter growth rate of 20.9%. This study demonstrates the effectiveness of the precision seeding machine and optimized parameters in achieving efficient and accurate sowing of Mongolian pine bud-seeds. This work provides basic technical and data support for advancing the development and sustainable utilization of Mongolian pine as a vital biobased material resource.

Publisher

American Scientific Publishers

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3