Bibliographic Details
| Title: |
Thousand-seed weight determination in forest species by image analysis |
| Authors: |
Francival Cardoso Felix, Felipe Ligeski Mocelim, Salvador Barros Torres, Dagma Kratz, Richardson Ribeiro, Antônio Carlos Nogueira |
| Source: |
Journal of Seed Science, Vol 43 (2021) |
| Publisher Information: |
Associação Brasileira de Tecnologia de Sementes, 2021. |
| Publication Year: |
2021 |
| Collection: |
LCC:Plant culture |
| Subject Terms: |
ImageJ, physical analysis, physical determination, Rules for Seed Testing, seed count, Plant culture, SB1-1110 |
| More Details: |
Abstract: Thousand-seed weight (TSW) is used to calculate the sowing density, number of seeds present in a sample, and predict seed size. Our aim was to establish an alternative methodology for thousand-seed weight determination in forest species using image analysis techniques. The traditional methodology was compared with the alternative one, testing them on seeds from 16 forest species. The traditional method was performed by manually counting eight repetitions of 100 seeds, weighing of samples, and computation of thousand-seed weight. The alternative methodology was performed by counting seed samples captured by images and processing in ImageJ® software, followed by weighing a single sample, and computation. All steps were timed, and each methodology was repeated ten times per species. The TSW obtained by the alternative methodology was similar to that obtained by the traditional one, and the average execution time of the activities was reduced by 62%. The proposed thousand-seed weight determination by image analysis is an efficient and optimized alternative to the traditional method. Thousand-seed weight determination from image analysis reduces execution time for the seed analyst and forest seedling producer. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2317-1545 |
| Relation: |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372021000100138&tlng=en; https://doaj.org/toc/2317-1545 |
| DOI: |
10.1590/2317-1545v43254684 |
| Access URL: |
https://doaj.org/article/5ed7dbb27fb54483969058fc0ef78f8b |
| Accession Number: |
edsdoj.5ed7dbb27fb54483969058fc0ef78f8b |
| Database: |
Directory of Open Access Journals |
