development of a soybean sowing model under laboratory conditions

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ID: 234287
2017
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Abstract
Sowing is affected by numerous factors, and thus high‑quality sowing is a very important task for agricultural engineers and managers of profitable agricultural production. The primary purpose of sowing is placing seeds at proper depths and in‑row spacings in well‑prepared soil. Plant population particularly gives prominence to sowing as it directly affects the uniformity of plant growth and development. Soybean planting is especially dependent on the quality of planting for yield formation due to the significant vicinity of seeds. Provided all external factors of high‑quality sowing are met, i.e. sowing conditions, the quality of sowing depends upon the planting mechanism. The following features of the planting mechanism are the most important: RPM of the seed disc, the travel speed of a seeder, and the values of gauge and vacuum pressure. This paper presents the results of sowing three different fractions of soybean seeds under laboratory conditions. The quality measurement of sowing was performed at different values of vacuum pressure and RPM of the seed disc. On balance, an increase in vacuum pressure results in improved sowing quality due to a stronger adherence of seeds to the seed disc. Lower values of vacuum pressure do not exert significant effects on the quality of sowing, regardless of the seed fraction. However, higher RPM of the seed disc entail an increase in the coefficient of variation. On the basis of the results obtained, a mathematical model for predicting changes in the coefficient of variation of sowing quality was developed using different operating parameters.
Reference Key
turan2017actadevelopment Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Jan Turan;Vladimir Višacki;Patrik Burg;Pavol Findura;Aleksandar Sedlar;Milos Rajkovic;Martin Zach
Journal Talanta
Year 2017
DOI
10.11118/actaun201765030957
URL
https://acta.mendelu.cz/65/3/0957/
Keywords
quality coefficient of variation

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