How to Analyze, Detect and Adjust Variable Seedbed Depth in Site-Specific Sowing Systems: A Case Study
Kestutis Romaneckas,
Dainius Steponavičius,
Algirdas Jasinskas,
Marius Kazlauskas,
Vilma Naujokienė,
Indrė Bručienė,
Austėja Švereikaitė,
Egidijus Šarauskis
Affiliations
Kestutis Romaneckas
Department of Agroecosystems and Soil Science, Faculty of Agronomy, Agriculture Academy, Vytautas Magnus University, Studentu Str. 11, Kaunas Distr., LT-53361 Akademija, Lithuania
Dainius Steponavičius
Department of Agricultural Engineering and Safety, Faculty of Engineering, Agriculture Academy, Vytautas Magnus University, Studentu Str. 15A, Kaunas Distr., LT-53362 Akademija, Lithuania
Algirdas Jasinskas
Department of Agricultural Engineering and Safety, Faculty of Engineering, Agriculture Academy, Vytautas Magnus University, Studentu Str. 15A, Kaunas Distr., LT-53362 Akademija, Lithuania
Marius Kazlauskas
Department of Agricultural Engineering and Safety, Faculty of Engineering, Agriculture Academy, Vytautas Magnus University, Studentu Str. 15A, Kaunas Distr., LT-53362 Akademija, Lithuania
Vilma Naujokienė
Department of Agricultural Engineering and Safety, Faculty of Engineering, Agriculture Academy, Vytautas Magnus University, Studentu Str. 15A, Kaunas Distr., LT-53362 Akademija, Lithuania
Indrė Bručienė
Department of Agricultural Engineering and Safety, Faculty of Engineering, Agriculture Academy, Vytautas Magnus University, Studentu Str. 15A, Kaunas Distr., LT-53362 Akademija, Lithuania
Austėja Švereikaitė
Department of Agroecosystems and Soil Science, Faculty of Agronomy, Agriculture Academy, Vytautas Magnus University, Studentu Str. 11, Kaunas Distr., LT-53361 Akademija, Lithuania
Egidijus Šarauskis
Department of Agricultural Engineering and Safety, Faculty of Engineering, Agriculture Academy, Vytautas Magnus University, Studentu Str. 15A, Kaunas Distr., LT-53362 Akademija, Lithuania
Sowing or seedbed depth is an important agro-technological parameter that varies with specific on-field soil and microclimatic conditions and depends on crop biology. There is a lack of detailed information regarding how seedbed depth relates to other seedbed parameters and affects the development of agricultural crops. Several seeder constructions and methods for seeding condition detection and depth adjustment have been investigated in high-precision, digitally backgrounded, in-site sowing systems; however, there is still a gap in knowledge due to the limited use of these technologies in conditions of high soil and micro-climatic variability. Therefore, the aim of this study was to highlight the impact of sowing depth on crop seedbed parameters, mainly established by the Kritz method, to ascertain the correlation between sowing depth, germination, crop development and productivity, and to overview the methods and equipment used for detection, adjustment and control of sowing depth in precision site-specific sowing systems. Our results showed that, in most cases, when sowing depth extended beyond the optimum, the moisture content in the seedbed decreased significantly. Sowing depth also correlated with the roughness of the seedbed (surface and bottom) and seedbed aggregate size distribution, but the direction of the relation depended on crop type and maximum sowing depths. Sowing depth correlated with crop germination, development and productivity parameters; however, the direction of exposure and intensity also varied with respect to crops, weather conditions, tillage and sowing equipment. Sowing depth uniformity is greatly influenced by the regulation of clamping force, the spatial variability of soil in fields and sowing operation speed.