Issue |
BIO Web Conf.
Volume 125, 2024
The 10th International Conference on Agricultural and Biological Sciences (ABS 2024)
|
|
---|---|---|
Article Number | 01009 | |
Number of page(s) | 8 | |
Section | Sustainable Agriculture, Soil and Plant Science | |
DOI | https://doi.org/10.1051/bioconf/202412501009 | |
Published online | 23 August 2024 |
Influence of seed rate and row spacing across on two different maturity groups of sorghum grain yield and quality characteristics
Széchenyi István University, Faculty of Agricultural and Food Sciences, 9200 Mosonmagyaróvár Vár tér 2., Hungary
The goal of this resesrch is to develop cultivation practices that optimize the economical cultivation of sorghum, taking into account current environmental factors., by determining the optimal seeding rate and row spacing for two different maturity groups of sorghum hybrids, RGT Icebergg (early) and RGT Huggo (mid-early). In this context, we examine the maximum achievable yield and quality characteristics. The experiment involved different plant densities: 210,000, 240,000, 270,000, and 300,000 plants/ha, and three different row spacings: 25, 45, and 76 cm. Through conducted experiments, significant differences have been observed in harvest moisture content, hectoliter weight, protein content, head size, and plant height. Significant differences were observed in the average number of head per square meter. Although similar average protein levels were measured for different genotypes, there were differences in their stability. Increasing row spacing decreased hectoliter weight, while increasing seeding rates increased it. Harvest moisture content was significantly higher with wider row spacings, while increasing plant density resulted in a slight decrease in moisture content. Looking at the average of the tested hybrids, the row spacing of 45 cm and the number of seed of 300,000 plants/ha are the most ideal combination to achieve the yield.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.