Seed quality of Brachiaria brizantha by X-ray image analysis using a Bayesian approach
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| Format: | Artículo científico |
| Langue: | en |
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Universidade Estadual de Maringá
2022
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| _version_ | 1876473738155786240 |
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| author | Alessandra Querino da Silva |
| author_facet | Alessandra Querino da Silva |
| contents | Seed quality of Brachiaria brizantha by X-ray image analysis using a Bayesian approach Alessandra Querino da Silva Luciano Antonio de Oliveira Carlos Pereira da Silva Cristian Tiago Erazo Mendes Ana Maria Oliveira Ferreira Thelma Sáfadi Maria Laene Moreira de Carvalho Agrociencias ray test mixture model Bayesian inference Brachiaria brizantha is the most economically important forage grass in Brazil and is propagated through sowing. Producing high-quality seeds has been a constant challenge due to their uneven maturation. The development and application of precise and non-destructive methods for identifying internal damages to seeds, such as the X-ray test, which quickly indicates the quality of the lots, is of fundamental importance for the seed industry. In this work, the quality of Brachiaria brizantha seeds was analyzed based on the morphological characteristics observed in X-ray images that were related to viability using a mixture model under a Bayesian approach, with the following objectives: i) verify the adequacy of the Bayesian modeling used in the data analysis; ii) associate the efficiency of using radiographs as a way to assess the viability of the seeds; and iii) relate the classifications carried out by evaluators with the probability of originating normal or abnormal seedlings. The methodology applied for the analysis proved to be adequate. Further, the Bayesian estimates for parameters related to internal morphology were established with associated levels of uncertainty, which represents an advantage over usual frequentist methods. Based on the model's estimates, seeds evaluated as potentially unviable by three evaluators had practically no probability of germination and did not germinate in the test applied later. Seeds classified as potentially viable had a high probability of developing into normal seedlings, while 73.27% showed this property in the germination test. 2022 artículo científico 1679-9275 https://www.redalyc.org/articulo.oa?id=303071489049 https://www.redalyc.org/journal/3030/303071489049/ https://www.redalyc.org/journal/3030/303071489049/html/ https://www.redalyc.org/journal/3030/303071489049/303071489049.epub https://www.redalyc.org/journal/3030/303071489049/movil 10.4025/actasciagron.v44i1.55960 en http://www.redalyc.org/revista.oa?id=3030 Acta Scientiarum. Agronomy application/pdf Universidade Estadual de Maringá Acta Scientiarum. Agronomy (Brasil) Vol.44 |
| format | Artículo científico |
| id | redalyc_303071489049 |
| institution | Redalyc |
| language | en |
| publishDate | 2022 |
| publisher | Universidade Estadual de Maringá |
| spellingShingle | Seed quality of Brachiaria brizantha by X-ray image analysis using a Bayesian approach Alessandra Querino da Silva Agrociencias ray test mixture model Bayesian inference Seed quality of Brachiaria brizantha by X-ray image analysis using a Bayesian approach Alessandra Querino da Silva Luciano Antonio de Oliveira Carlos Pereira da Silva Cristian Tiago Erazo Mendes Ana Maria Oliveira Ferreira Thelma Sáfadi Maria Laene Moreira de Carvalho Agrociencias ray test mixture model Bayesian inference Brachiaria brizantha is the most economically important forage grass in Brazil and is propagated through sowing. Producing high-quality seeds has been a constant challenge due to their uneven maturation. The development and application of precise and non-destructive methods for identifying internal damages to seeds, such as the X-ray test, which quickly indicates the quality of the lots, is of fundamental importance for the seed industry. In this work, the quality of Brachiaria brizantha seeds was analyzed based on the morphological characteristics observed in X-ray images that were related to viability using a mixture model under a Bayesian approach, with the following objectives: i) verify the adequacy of the Bayesian modeling used in the data analysis; ii) associate the efficiency of using radiographs as a way to assess the viability of the seeds; and iii) relate the classifications carried out by evaluators with the probability of originating normal or abnormal seedlings. The methodology applied for the analysis proved to be adequate. Further, the Bayesian estimates for parameters related to internal morphology were established with associated levels of uncertainty, which represents an advantage over usual frequentist methods. Based on the model's estimates, seeds evaluated as potentially unviable by three evaluators had practically no probability of germination and did not germinate in the test applied later. Seeds classified as potentially viable had a high probability of developing into normal seedlings, while 73.27% showed this property in the germination test. 2022 artículo científico 1679-9275 https://www.redalyc.org/articulo.oa?id=303071489049 https://www.redalyc.org/journal/3030/303071489049/ https://www.redalyc.org/journal/3030/303071489049/html/ https://www.redalyc.org/journal/3030/303071489049/303071489049.epub https://www.redalyc.org/journal/3030/303071489049/movil 10.4025/actasciagron.v44i1.55960 en http://www.redalyc.org/revista.oa?id=3030 Acta Scientiarum. Agronomy application/pdf Universidade Estadual de Maringá Acta Scientiarum. Agronomy (Brasil) Vol.44 |
| title | Seed quality of Brachiaria brizantha by X-ray image analysis using a Bayesian approach |
| topic | Agrociencias ray test mixture model Bayesian inference |
| url | https://www.redalyc.org/articulo.oa?id=303071489049 https://www.redalyc.org/journal/3030/303071489049/ https://www.redalyc.org/journal/3030/303071489049/html/ https://www.redalyc.org/journal/3030/303071489049/303071489049.epub https://www.redalyc.org/journal/3030/303071489049/movil |